Browse Topic: Machining processes

Items (1,752)
This study investigates the characterization and dry machining performance of advanced physical vapor deposition (PVD) aluminum titanium nitride (AlTiN) and aluminum chromium titanium nitride (AlCrTiN) coatings deposited using three techniques: cathodic arc evaporation (CAE), high-power impulse magnetron sputtering (HiPIMS), and scalable pulse power plasma (S3p). The coatings were evaluated for thickness, microstructure, surface roughness, coefficient of friction (CoF), adhesion strength, and microhardness. Among the tested coatings, the S3p-deposited AlCrTiN showed the best performance, exhibiting the highest microhardness (40 GPa), the strongest adhesion (108 N), and the lowest CoF (0.25), along with a defect-free microstructure. Under the selected dry turning condition of 150 m/min cutting speed, 0.15 mm/rev feed rate, and 0.7 mm depth of cut, the S3p-deposited AlCrTiN coating achieved a maximum tool life of 10,800 mm, nearly three times higher than the CAE-deposited AlTiN coating. In contrast, CAE coatings showed comparatively lower hardness and weaker adhesion, with minimum values of 25 GPa and 68 N for C1, along with higher CoF values of 0.58–0.60. Furthermore, AlCrTiN coatings produced by HiPIMS and S3p provided 20–30% longer tool life than AlTiN coatings under identical cutting conditions, highlighting the importance of deposition technique.
Dinkar Sonawane, Gaurav
Impact testing utilizing instrumented hammers and accelerometers is a widely adopted technique in dynamic testing. The mass loading effect of the accelerometer alters the dynamic response of the test structure, leading to deviations between the measured frequency response functions (FRFs) and their true values. Furthermore, the effects on the FRFs are contingent upon the positioning of the accelerometer, thereby causing the measured FRFs between two points to fail to meet the principle of reciprocity. This paper investigates the compensation method for the mass of a single accelerometer in impact testing. Compensation formulas for both origin–FRF and cross–FRF are derived using the frequency domain substructure decoupling method. Numerical simulations on a cantilever beam and experimental tests with milling tools validate the proposed methodology. The compensation formulas for FRFs presented in this paper are expected to enhance the measurement accuracy of FRFs in modal testing of small structures, particularly relevant for lightweight components in aerospace, aircraft, and transportation systems, where precise dynamic characterization is critical.
Tang, ZhenrongYao, Zhenqiang
This research develops a multi-arc cooperative additive fabrication to address the technical challenges of low forming efficiency and insufficient precision in the production of complex components using conventional single-arc additive manufacturing systems. With the core objective of achieving efficient and high-quality production of large high-performance metal parts, the equipment employs a modular architecture, incorporating four core modules: additive fabrication modular, 3D measurement module, subtractive machining module, and central control module. It creatively designs a multi-arc cooperative additive fabrication head assembly characterized by “two contours + one filling” arc layout, enabling synchronized operation of two contour single-wire arcs and an independently developed single-power three-wire oscillating filling arc. This system builds a multi-robot collaborative motion system based on the master-slave control strategy. It realizes time synchronization and trajectory synchronization of additive, measurement, and subtractive robots through the KUKA.RoboTeam software package. Meanwhile, it integrates a laser arc constraint device, a molten pool monitoring system, and a digital process parameter monitoring module. An integrated manufacturing capability of “additive - measurement - subtraction” is formed to enhance the forming efficiency and accuracy of components. Experimental verification shows that the forming efficiency of this equipment reaches 1800 cm^3/h, which is more than three times higher than that of traditional single-arc equipment. The surface roughness of the components is optimized to 41.50 μm, and the forming size error is controlled within ±0.5 μm. It can be adapted to the one-time forming of components with a width of 30 to 150 mm. It provides reliable technical support for the high-performance manufacturing of large metal components.
Zhang, HuadongHe, TianyingPan, HuilingZhang, YiXuan, Liang
The static-dynamic behaviors of ultra-precision five-axis machine tools are the core factors to ensure sub-micron-level machining accuracy. This study establishes a detailed finite element model of an entire machine based on the ANSYS Workbench platform and conducts in-depth research on the static-dynamic characteristics of the entire machine of the ultra-precision five-axis machining center by using the finite element analysis(FEM) method and combining the principles of statics and dynamics. By constructing an accurate finite element model, the stress distribution, deformation, and modal vibration characteristics of the entire machine, especially the key parts, such as spindle box, crossbeam, column, and guide rails, under complex loads such as gravity and cutting force are simulated. The static analysis reveals a maximum deformation of 0.17 mm in the spindle box and the column, and the maximum stress is 58 MPa (at the Z-direction guide rail contact point), which is lower than the allowable stress of Q215 steel (195.5 MPa). The modal analysis extracts the first six natural frequencies (50.683 - 175.91 Hz), and the low-order vibration modes are mainly the Y/X-direction swing of the column, revealing the weak stiffness links. Based on the analysis results, a parametric optimization method was further adopted to optimize the structure of the weak components: the base, the column and the spindle box. This significantly enhanced the overall stiffness, reducing the maximum deformation to 0.039 mm and the maximum stress to 45MPa. The first six natural frequencies were all greatly increased (the first one reaching 85.548Hz). These findings provide valuable insights for machine tool structural enhancement and performance optimization.
Li, ShanSohi, Seyed Hamed Hashemi
This study carefully designed and successfully developed a mechanical voltage stabilizing control device. The device uses silicone oil as the key component material of the liquid spring and 1Cr13 as the main material of the pressure control unit, enhancing its high-pressure resistance (up to 35 MPa), oxidation resistance, and acid-alkali corrosion resistance. By optimizing the transmission mechanism and simplifying the pressure regulation module, the device achieves a pressure regulation range of 0.1–21 MPa with an accuracy of ±0.01 MPa, significantly broader and more precise than traditional devices. To address manufacturing challenges, advanced CNC machine tools, ceramic cutting tools, and optimized heat treatment processes (e.g., quenching and tempering) were adopted, ensuring component machining accuracy within ±0.02 mm. Field applications in 13 oil wells demonstrated a 15.6% increase in daily oil production (from 25.5 t/d to 29.5 t/d) and a 17.9% increase in daily gas production (from 2800 m^3/d to 3300 m^3/d), with stable casing pressure control at 5.3 MPa. The device has created 1.225 million yuan in economic benefits while eliminating safety hazards, providing critical technical support for efficient and environmentally friendly oil and gas production.
Wang, GangLiu, CuicuiTong, DeshuiCao, JianMu, TaijiHan, Baidong
The geometric error (GE) accounts for a significant factor affecting the machine tool’s machining accuracy, and in most cases, large GEs will result in a substantial deviation from the required shape of the machined workpiece. GEs are often observed in five-axis machine tools, and identifying and measuring these errors turns out to be challenging. In the present work, we proposed a novel GE identification approach based on simulations and tests conducted on a BC-type dual-rotary five-axis machine tool. Specifically, a machine tool volumetric error model (VEM), incorporating 41 GEs (the complete model), was constructed using the homogeneous coordinate transformation approach. Then, Sobol sensitivity analysis in conjunction with quasi-Monte Carlo estimation was introduced to the VEM to measure how much each GE contributed to the total volumetric error. The subsequent analysis identified 21 key geometric errors (KGEs). We also compared the simplified VEM and the complete model, and it was revealed that there was little difference between the two, which confirmed the effectiveness of our method. The present work is intended to provide a reference for simplifying VEMs, error element identification, and error compensation.
Zhang, JinlongShi, ZhaoyaoYang, Hongtao
This device belongs to the field of aviation materials technology and discloses a high-efficiency drilling equipment for manufacturing aviation materials, which includes a bottom plate. The top of the bottom plate is provided with a clamping structure and a positioning structure. The clamping structure includes a second moving plate, a third sliding groove, a second bi-directional screw, a fourth screw block, a clamping plate, and a rubber block. This device can hold materials through a clamping structure and effectively and quickly locate and drill holes through a positioning structure. By rotating the first threaded rod, it can drive the first screw block to move the U-shaped column. During the movement of the U-shaped column, it will drive the second threaded rod to move together. By rotating the second threaded rod, it will drive the second screw block to adjust the height of the connecting plate for drilling holes. By rotating the third threaded rod, it will drive the first moving plate to move, which will facilitate the multi-directional movement of the drill bit, improve the efficiency of drilling, avoid multiple position changes, and be beneficial for practical applications and operations.
Li, ZuxianLi, Ling
Reliability evaluation aims to quantify the reliability level of equipment and to verify its compliance with reliability requirements. Existing reliability evaluation methods primarily rely on operational phase data, which means reliability evaluation may lag behind actual needs. In practice, both users and design teams are more concerned with how to estimate CNC machine tools’ reliability before they are put into operation. Moreover, current reliability evaluation methods usually ignore the design team’s influence on CNC machine tool reliability. To overcome these limitations, this study proposes a novel reliability evaluation method that accounts for the influence of the design team on the reliability of CNC machine tools. By analyzing the impact of the design team’s technical capabilities and reliability capabilities on CNC machine tool reliability, a set of quantifiable evaluation indicators was established. Then, the weight coefficients of all indicators were determined using the expert scoring method. Finally, all data were integrated using the vector projection method, which enabled a quantitative reliability evaluation of CNC machine tools from different design teams within the same category. Additionally, the proposed method was applied to conduct practical case studies on multiple CNC external cylindrical grinding machine tools designed by different design teams, thereby validating the feasibility of the proposed method. The reliability evaluation results not only determine the reliability level of each CNC machine tool but also identify the weak points in the technical capabilities and reliability competencies of each design team. This study concludes by discussing the significance of this approach for enhancing the reliability capabilities of design teams and its practical implications for end users.
Sun, DongyangZheng, WeixuChu, HongyanXu, JingjingCheng, Qiang
To address the challenge of accurately assessing the reliability of complex equipment, a reliability evaluation system for a five-axis machining center was developed based on extension theory. By collecting and analyzing the failure modes and data of various subsystems, the strengths of the Fuzzy Analytic Hierarchy Process (FAHP) and the Entropy Weight Method (EWM) were combined to determine the weight of reliability evaluation indicators for both the machining center and its subsystems. A comprehensive assessment of the five-axis machining center's overall reliability was conducted. According to the principle of maximum membership, the reliability grades for the spindle system and the feed system were both rated as “excellent.”
Fei, ShouxiangWang, DechaoPiao, ChengdaoZheng, Shengkui
During the cutting process of low-stiffness structural components, the coupling effect between dynamic deformation and cutting forces presents a significant challenge in accurately predicting machining-induced deformations, thereby complicating quality control in the manufacturing of such parts. To address this issue, a cutting force-structural coupling simulation method that combines experiment and finite element is proposed, which takes into account the low-stiffness characteristics of structural components. Focusing on thin-plate parts as the research object, an orthogonal experimental scheme is designed considering workpiece thickness that serves as an indicator of rigidity. A milling force prediction model correlated with workpiece thickness is established. Based on the predicted cutting forces, a multi-analysis-step simulation method is introduced to analyze the machining deformation of structural parts. Additionally, a theoretical analytical model for the machining deformation of thin-plate workpieces is developed. A comparison between the theoretical and simulation results shows a relative error of less than 1.03%, validating the accuracy of the proposed simulation method. Finally, the exponential regression model for the machining deformation is constructed using training data obtained from the simulations. The prediction error of the regression model is less than 15%. The findings of this study are also applicable to predicting machining deformations in other large and low-stiffness structural components.
Zhao, YongshengGao, PengfeiXu, JingjingLiu, Zhifeng
Thin-walled structures with weak stiffness are widely applied in aerospace, precision machinery, and mold manufacturing; however, their machining processes are commonly challenged by insufficient rigidity, complex dynamic characteristics, and a high susceptibility to chatter. Due to the differentiated dynamic parameters of these structures at various spatial positions, the compliant interaction between the tool and workpiece during milling significantly increases the risk of chatter, thereby degrading machining precision, surface integrity and productivity. To this end, this research establishes a three degree of freedom (3-DOF) milling process dynamics model based on the full discretization method (FDM), which systematically obtains the modal parameters of the thin-walled component at different locations. Building upon this, position-dependent stability lobe diagrams for milling prediction are constructed to theoretically reveal the influence of local structural regions on milling stability. Furthermore, this paper proposes a multivariate nonlinear regression method to establish a nonlinear identification model for milling force coefficients. Key parameters were effectively identified through experiments, predicting the variation trends of force coefficients under different cutting conditions. Subsequently, cutting experiments were conducted across different spatial regions of the thin-walled structure to comparatively analyze stability performance under various combinations of cutting parameters. The results demonstrate that the established dynamic model and force coefficient identification method can effectively predict the milling stability of weak-stiffness structures at different physical locations and can well explain the spatial distribution characteristics of cutting chatter. This research proposes a novel method for position-dependent milling stability prediction, providing a theoretical foundation and experimental data support for resolving the issue of frequent chatter at different locations on weak-stiffness structures in practical machining, which holds significant engineering value for the efficient and stable processing of complex thin-walled components.
Xi, ChenhuiZhao, YongshengXu, JingjingGao, Pengfei
Drill string whirl and buckling cause impact-rub contact against the casing inner wall, which induces casing wear and threatens wellbore integrity. This study incorporates both whirl and buckling to analyze the wear mechanism. Finite-element dynamic models are established for three drill string states: stable unbuckled, sinusoidally buckled, and helically buckled. Transient dynamic simulations are performed in the ANSYS Workbench Transient Structural module to obtain whirl trajectories, contact pressures, and contact characteristics at multiple sections along the string. A casing-wear volume calculation based on the Kumar–Samuel formulation with time-varying contact pressure is then used to quantify wear at the lower drill collar, the upper stabilizer, the upper drill collar, the heavyweight drill string, and the buckled segment. Results show that once buckling occurs, whirl concentrates in the bottom-hole assembly and decays progressively from the bottom of the well toward the wellhead. Casing wear increases across all locations, with the largest increments at the lower drill-collar interval and within the buckled segment. Helical buckling produces greater casing wear than sinusoidal buckling. Neglecting drill string buckling, especially helical buckling, leads to underestimation of casing wear and thus underestimation of wellbore-integrity risk.
Liu, JunlinCao, GenpeiWan, ZhiguoYang, ZhengLi, LongDou, YihuaGu, Runpeng
Metal fins with complex structural surfaces play a crucial role in cooling highly heat-intensive electronic products, and a facile method for fabricating such metal fins is urgently needed. Herein, a simple machining method was proposed for fabricating metal fins with novel waveform structures. The new machining method combined plowing extrusion and cutting (PE-C) processes, enabling one-step fabrication of wavy fins, exhibiting excellent flexibility and efficiency. The combined PE-C tool was first designed and manufactured. Subsequently, experiments for fabricating wavy fins were developed and conducted. Based on this, an in-depth analysis of forming procedures was performed using in-situ experimental insights. Moreover, forming characteristics of wavy fins under key parameters (e.g., the tool rake angle γ^c and the cutting velocity V^c) were discussed. Results show that the novel wavy fins were successfully manufactured by the proposed PE-C method. Wavy fins exhibited excellent, well-developed surfaces with a complete corrugation structure, and their geometric dimensions could be adjusted through processing parameters. The new PE-C method utilized two consecutive stages (i.e., the PE and cutting stages) to achieve the fabrication of wavy fins. The PE stage shaped the uncut metal surface into grooved structures, while the cutting stage transformed the groove structure into a waveform structure. Multiple folding principles, rather than conventional shear deformation, were utilized to achieve wavy fins. Reducing the γ^c and V^c would contribute to obtaining fins with the larger waveform structures. PE-C exhibited excellent potential in the field of heat exchange metal fin manufacturing.
Zhang, BaoyuLiu, ShudengYe, Zhitong
High-precision five-axis machining puts forward strict requirements for the stiffness and position stability of the AC double-angle milling head, especially when the gear transmission system is used under heavy cutting load and complex force coupling conditions. In the actual processing environment, the non-uniform deformation caused by structural coupling and load changes will directly affect the machining accuracy and stability. In order to solve these problems, this paper designs and analyzes a gear-type AC double-angle milling head with a pendulum structure and a layered modular structure. A parametric finite element model was established, and ABAQUS software was used to conduct a static analysis of two typical A-axis directions (0° and 90°), taking into account the internal prestressing force generated by gravity, cutting force, and gear meshing to reflect the typical working conditions. Under the same boundary conditions and load conditions, the influence of different structural materials on the overall stiffness was further studied through comparative analysis. The results show that under the conditions of five-axis linkage machining and positioning machining, the overall deformation of the milling head is maintained within the micron range, which meets the requirements of high-precision machining. The deformation behavior shows obvious dependence on the A-axis direction, reflecting the inherent anisotropic stiffness characteristics of the structure. Compared with the traditional structure, the proposed design has better rigidity performance under combined load conditions and provides practical reference values for the subsequent structural optimization, material selection, and precision control of high-performance five-axis CNC milling heads.
Xie, XinguiYuan, YongchaoQi, QuanLi, Xiangshuai
To ensure that NURBS curve interpolation meets motion constraints during machining while maintaining low velocity fluctuations, this paper proposes a nested look-ahead velocity planning algorithm. Traditional methods require identifying feedrate-sensitive points and segmenting the curve, which may lead to local velocity exceeding the limits and can involve significant computational effort. The proposed method does not require sensitive-point detection and instead constructs the velocity profile in a globally consistent manner. The algorithm combines a backtracking S-curve acceleration/deceleration strategy to ensure compliance with motion constraints with the Gear prediction–correction method for parameter interpolation, achieving low velocity fluctuation. Through nested iterative refinement, the planned feedrate is continuously corrected until all segments satisfy the imposed constraints. Simulation results show that the method effectively prevents local velocity overshoot, significantly reduces velocity fluctuations compared with conventional second-order Taylor expansion methods, and generates feedrate profiles with continuous acceleration that minimize dynamic shocks during motion. Therefore, the proposed approach provides an effective solution for NURBS-based machining, fully meeting motion constraints while maintaining low velocity fluctuation.
Hu, Jinpeng
The increasing pressure to decarbonize manufacturing systems is pushing industry beyond conventional lightweighting strategies toward material and process paradigms, capable of delivering functional performance with radically lower environmental impact. In this context, polymer-based composite Additive Manufacturing (AM) offers an underexplored yet highly promising pathway for sustainable production of load-bearing components. This study presents a preliminary comparative cradle-to-gate Life Cycle Assessment (LCA) of a Formula SAE brake pedal, assessing the environmental transition from conventional sheet metal fabrication and finishing operations of Aluminum 7075-T6 to additive manufacturing solutions, with specific focus on Carbon-Fiber-Reinforced Polymer (CFRP) composites. Two topology-optimized designs, respectively for Powder Bed Fusion (PBF) in AlSi10Mg and Material Extrusion (MEX) in Polyethylene Terephthalate Glycol with Carbon Fiber (PETG-CF) are compared to conventional fabrication aluminum benchmark. The analysis is integrated in the product and process design following ISO 14040/14044 standards and is implemented using the Environmental Footprint 3.0 methodology within the 3DEXPERIENCE platform. Results outline that Material Extrusion (MEX) composite manufacturing achieves the lowest environmental impact across all evaluated categories. Compared to conventional manufacturing, the PETG-CF solution enables an approximate 50% reduction in Global Warming Potential and an almost complete elimination of mineral depletion. Unlike metal additive manufacturing, which remains constrained by high process energy demand, MEX benefits from low processing temperatures, minimal auxiliary systems, and highly efficient material deposition. Crucially, these sustainability gains are achieved while maintaining functional performance through design-driven topology optimization. AM composite solutions, by merging advanced material science with additive flexibility, may lead to design approaches which cease to be ‘potential’ enablers of sustainable manufacturing for the Industry 5.0 transition.
Dalpadulo, EnricoRusso, MarioApté MD, RaphaëlleLeali, Francesco
The development of lightweight materials for use in aerospace and automotive applications is extremely significant. Magnesium (Mg)-based alloys and composites are good candidate materials from the perspective of low density, good specific strength, and abundance. The Mg-4Zn alloy is one such alloy, which is a lightweight, biocompatible, and eco-friendly Mg-based alloy. In spite of these advantages, there is a strong need and scope to improve its wear resistance and mechanical properties. Mg-4Zn nanocomposites with Si3N4 reinforcements (a biocompatible bioceramic) are hypothesized to possess superior properties. Microstructural analysis of the vacuum stir-cast nanocomposites confirms grain refinement and a consequent increase in microhardness with an increase in Si3N4 reinforcement wt.%. The addition of Si3N4 reinforcement to improve the properties of the Mg-4Zn alloy could introduce challenges in machining. To make products from the nanocomposites, machining them with minimal subsurface defects with minimal energy consumption under sustainable conditions is necessary. The resultant machining force (Fr) is a good indicator of subsurface quality and energy consumption in machining. To investigate the effect of reinforcement wt.% and machining parameters on the resultant machining force, dry turning experiments on the vacuum stir-cast Mg-4Zn/Si3N4 nanocomposites were carried out based on the response surface methodology-based Box-Behnken design. It is observed that the regression model for Fr is influenced by the reinforcement wt.%, cutting speed, feed rate, and depth of cut and also their squares and their mutual interactions. Increase in microhardness, variation in porosity, thermal softening, and strain hardening contribute to the variation in Fr. Minimal Fr and hence better subsurface quality and lower energy consumption are obtained at mid values of Si3N4 reinforcement wt.% and cutting speed and low values of feed rate and depth of cut. The developed model is an excellent fit, with R2 and adjusted R2 values of 0.9907 and 0.9799, respectively.
N, AnandShaju, Tony MG, Nagamalleswara RaoD, BijulalK, Jayaprakash ReddyK, VijayanChaman, Joji J
Worldwide, engineers are exploring the possibility of using polymer composites in their quest for lightweight materials. In this study, injection moulding was used to develop a biodegradable polymer PLA composite containing 20 wt.% vetiver fibers (VFs) and 2 wt.% nano-silica (nSiO2) obtained from pearl millet, which is sustainable. Materials need machining as secondary operation that required joining. Desirability analysis was used to examine and optimize machining (drilling) studies that were designed with Taguchi's design (L9 orthogonal array). Surface roughness (SR) and delamination factor (Fd) were taken as outputs, while spindle speed (SS), feed rate (FR), and drill diameter (DD) were the inputs. Drilling studies were performed on a single vertical machining center (VMC). ANOVA identifies that the FR had the most decisive influence on SR (F=559.24, p=0.001785), followed by DD and SS. FR is the dominant contributor to Fd (F=379, p=0.00263), followed by SS and DD. At low SS and high FR, excessive thrust and heat cause fiber-matrix tearing and poor hole finish. Higher SS softens the PLA matrix, improving surface quality. Fd decreases with increasing SS, whereas it rises with extreme FR and DD due to elevated thrust and matrix cracking. The optimized parameters SS of 3000 rpm, FR of 15 mm/min, and DD of 6 mm achieved a maximum combined desirability of 1. A non-traditional meta-heuristic technique, the frog leaping algorithm (FLA), is adopted to optimize the inputs based on the developed regression model. FLA also provides the identical optimal condition as the desirability function, predicting the outputs SR=2.2195 μm and Fd=1.0383, which are very close.
Senthilkumar, N.
Expeditionary environments (such as remote exploration missions, forward military operations, and disaster response zones) demand adaptive manufacturing solutions to support vehicle sustainment in the absence of traditional supply chains. This work introduces a conceptual mathematical framework for modeling the constraints and tradeoffs inherent to expeditionary manufacturing, with a focus on vehicle repair and spare parts fabrication using low-energy and simple automated systems including desktop-scale 3D printers and CNC machines. The model integrates key variables such as energy availability, material transport cost, fabrication time, and environmental limitations to support rapid decision-making on part manufacturability and in-field feasibility. A case study involving the on-demand production of some common wear and failure parts on a vehicle, including suspension components and the water pump, is used to demonstrate how this framework can guide the selection of suitable manufacturing technologies, part redesign or repair for field printing. This modeling approach highlights how predictive modeling can optimize both component geometry and process parameters to meet requirements while minimizing energy expenditure and logistics overhead. This work informs future efforts in resilient vehicle system design by embedding manufacturability considerations into the early stages of development, particularly for platforms intended for deployment in expeditionary environments. It offers practical guidance to designers, logisticians, and mission planners seeking to integrate field-capable manufacturing into vehicle lifecycle support.
Mollan, CalahanPandey, VijitashwaPatterson, Albert E.
Five-Axis CNC machines have become essential for creating the complex geometries demanded by industries such as aerospace and defense. These advanced machines offer superior part accessibility and minimize the need for repositioning, enabling shops to eliminate secondary set-ups and post-processing. However, for many machine shops, unlocking the full performance potential of five-axis equipment requires more than sophisticated motion control: it also demands higher spindle speeds. Traditional five-axis machines often top out at spindle speeds between 6,000 and 15,000 RPM. While this is sufficient for heavy roughing operations using large diameter tools, when it comes to finishing intricate features or micro-drilling, small tools require consistent spindle speeds of 40,000 to 90,000 RPM on the toolpath to function effectively. Without that capability, shops risk poor surface finishes, broken tools and unacceptably long cycle times. This is where governed high-speed air-driven spindles offer a transformative upgrade.
3D Printing of metal components is gaining in popularity. This is partly because it can reduce production times and improve part quality in many applications. Its growth is also due to the use of generative design tools that produce topology-optimized shapes, as well as its ability to create special surface textures. Additive manufacturing (AM) has been adopted in the medical industry due to these advantages over conventional subtractive machining.
Although Ti-6Al-4V alloy offers high strength-to-weight ratio, corrosion resistance, and biocompatibility properties, its machining is challenging due to low thermal conductivity, high hardness, and chemical reactivity. This study examines turning of Ti-6Al-4V under minimum quantity lubrication (soybean oil). Cutting speed (CS), feed rate (FR), and depth of cut (DOC) are considered as the input parameters. On the other hand, material removal rate (MRR), tool wear rate (TWR), surface roughness (SR), and cutting force (Fc) are treated as the responses. Optimization of the said process is carried out using the mixed aggregation by comprehensive normalization technique (MACONT), a recently developed multi-criteria decision-making (MCDM) method. The optimal parameters are identified as CS = 72.26 m/min, FR = 0.022 mm/rev, and DOC = 0.2 mm, achieving high MRR with low TWR, SR, and Fc. The effects of different turning parameters on the responses are also investigated. Sensitivity analysis confirms robustness, and comparative evaluation with other MCDM tools validates accuracy of the adopted approach. The results demonstrate MACONT’s effectiveness in optimizing turning of hard-to-machine alloys, supporting greener and sustainable machining practices.
Das, Partha ProtimSharma, SaurabhChakraborty, Shankar
In order to ensure the construction safety of tunnels in water-rich sections near reservoir areas, it is very important to adopt comprehensive and reliable advanced geological prediction technology combined with on-site monitoring and measurement. Taking the Chenlingding tunnel as an example, through the comprehensive geological prediction of the broken rock section near the reservoir, the numerical model of the broken rock section was established, and compared with the field measurement data. The results show that the comprehensive advanced geological prediction system combining short, medium and long distances, such as geological radar, seismic wave reflection method and advanced horizontal drilling, has high accuracy in adverse geology, rock fragmentation and water rich conditions in the tunnel; The rich water condition, fault information and rock engineering geology provided by the advanced geological prediction can provide reliable guarantee for the tunnel excavation scheme, the preparation of advanced support measures and the formulation of emergency plans; The deformation trend of the deformation curve of the monitoring value and the simulation value is consistent. The initial ground settlement and vault settlement of the tunnel are relatively fast, and they are basically stable after 50 days, but both are less than the deformation amount reserved in the design scheme, indicating that the construction scheme is safe and reasonable, and the control effect is good, which can provide reference for the selection of advanced geological prediction methods and the formulation of construction scheme of water-rich tunnel.
Dai, YunfeiFeng, MeijieLiu, DachengTang, Xianyuan
To address the challenges of high support deformation risk in soft rock tunnels of the Qinling Mountains and slow construction speeds in small-section tunnels due to spatial constraints, this study leverages the engineering geological characteristics of the region. These include predominantly mudstone and sandstone, well-developed joints and fissures, and moderately strong surrounding rock. Based on the Lianhua Mountain Tunnel project, the use of a cantilever roadheader in small-section tunnels with soft rock geology was introduced. Through in-depth research on adaptability and design parameters, it was demonstrated that the cantilever roadheader exhibits good adaptability in the soft rock regions of the Qinling Mountains and has significant potential for broader application. The application research results show that the cantilever roadheader causes minimal disturbance to the surrounding rock, resulting in smaller deformation. It also demonstrates a notable progress advantage in sandstone and conglomerate tunnels, particularly in Class IV and V surrounding rock, where construction speed increased by nearly 90% compared to the drilling and blasting method.
Wu, JianminHu, RuoqiZhang, TeMeng, Xianghua
min
Wang, JieYang, YueChen, XinCui, Jiaxing
As demand for microcomponents has escalated in diverse areas of automotive, medicine, communications, electronics, optics, biotechnology, and avionics industries, there is a need for hybrid manufacturing techniques that can effectively micromachine hard and brittle materials. Electrochemical discharge machining (ECDM) is an advanced manufacturing process for machining difficult-to-cut materials. With a need for precision and accuracy, tool kinematics is a potential research area in ECDM for achieving geometrical dimensioning and tolerances (GD&T). Therefore, the present study reviews the ultrasonic vibration–assisted ECDM (UA-ECDM) hybrid process and the performance of its process parameters (voltage, electrolyte type and its concentration, electrode material, pulse duration, and amplitude) on the material removal rate (MRR), tool electrode wear (TEW), surface integrity, and difficult-to-cut materials. Also, the present work mentions current problems (debris and bubbles trapped, electrolyte circulation, and gas film formation) faced and future research directions to increase the process capabilities based on published research in the UA-ECDM process.
Prajapati, Mehul S.Lalwani, Devdas I.
Structural aircraft components and the methods for making them have changed significantly, driven by advancements in technology and new demands in the industry. Aerospace assemblies are becoming lighter and more complex, while every aspect of how these components are designed and made is evolving. As CAD and finite element analysis (FEA) allow engineers to optimize every surface for strength and weight, structural components are taking on more sophisticated forms. Many parts today are delivered at near-net shape, which can reduce waste and roughing operations, but on the other hand, can present more challenging features to machine.
Hard carbon steel is used for drilling deep holes, such as C19, which has dimensions of 630 mm in length, 50 mm in breadth, and 125 mm in depth. Long twist drills with a diameter of 8 mm are used. Such drills are manufactured with larger helix than the traditional drills for increasing penetration efficiency. But, Prediction of long drill & tool replacement strategies during metal cutting are mostly depend on conservative estimation given by manufacturer’s catalog. Hence, long drill while drilling cam shaft in automobile applications may be underutilized or over utilized. Now a day, Diagnostics software in advanced CNC machines are indicating hours of utilization of tools in bar chart. On the other hand, Utilization of long drill wear beyond the recommended range affects the quality of workpiece. As a result, several researchers have proposed the reliable approach of vibration-based online monitoring of drill flank wear over the past 20 years. In these works, the vibration sensor is mounted on the workpiece, allowing for good signal strength acquisition with little variation in distance from the drill holes and drill wear monitoring. The sensor cannot be placed in a fixed location that is equally spaced from all of the holes that need to be drilled for practically all workpiece profiles. In this project endeavour, the peck drilling technique utilising vibration monitoring is proposed. The monitoring metrics of amplitude (N/m2) and frequency (Hz) are introduced through the examination of vibration in both the time and frequency domains. Experimental results show that percentage variation in long drill wear during severe wear and corresponding vibration signals of amplitude variation of long drill frequency is increasing five times than compared the vibration signals with other stages in the peak search method. This provides greater flexibility in replacement strategy of long drill through vibration analysis and higher percentage variation indicates that substantial to use for drilling.
R. S., NakandhrakumarRaja, SelvakumarElumalai, SangeethkumarVelmurugan, RamanathanM, Ramakrishnan
Bruno Boutantin, Extrude Hone
In modern defense manufacturing, achieving technological superiority hinges on both rapid decision-making and unparalleled precision engineering. Advanced machining systems, such as 5-axis CNC machines, play a pivotal role by enabling the production of intricate, free-form geometries with micron-level accuracy. However, these advances often necessitate deep domain expertise for optimal tool selection and machining parameter configuration. This paper introduces GraphLLM, a model-agnostic approach that integrates structured knowledge graphs with large language models (LLMs) to enhance the accuracy and reliability of technical responses. By automatically extracting domain-specific entities and relationships from documents, GraphLLM mitigates LLM hallucinations and improves performance, especially in technically challenging or out-of-distribution queries. Experimental evaluations across various LLaMA models demonstrate significant uplifts of 25%, highlighting the framework’s potential to provide grounded answers for decision-making in advanced manufacturing.
Hoang, DannyGorsich, DavidCastanier, MatthewImani, Farhad
The utilization of Inconel 718 is increasing daily in stringent operating conditions such as aircraft engine parts, space vehicles, chemical tanks, and the like due to its physical properties such as maintaining strength and corrosion resistance at higher temperature conditions. Besides, Inconel 718 is one of the difficult materials for machining because of maintaining its strength at elevated temperature, which generates higher cutting force leading to observed multiple tool wear mechanisms that affect the surface quality; lower thermal conductivity of materials produces high temperature generation that impacts the tool performance by reducing tool life. In addition, the presence of carbides and high hardness of IN 718 affects the machining performance. Therefore, in this view, this article describes the effect of cutting environments and machining parameters on the machining of Inconel 718 and optimizes the cutting conditions for sustainable machining. Three input parameters namely cutting speed, feed rate, and depth of cut as well as three cutting environments such as flood cooling, MQL (minimum quantity lubrication), and NMQL (nano minimum quantity lubrication) were considered for the experimentation. Experimental runs were designed based on the Taguchi method, which had a total of 27 runs performed on the CNC turning. TiAlN-coated triangular-shaped cutting inserts were used for all experimental runs. This research study addresses three output parameters namely surface roughness, tool wear, and cutting temperature. Finally, the cutting condition was optimized by using the Taguchi method and predicting the relationship between the input parameters and the output parameter using the RSM method. Experimental results observed that the NMQL cutting environment shows better machining performance than the MQL and flood cooling due to the presence of nanoparticles in the base fluid, which act as heat carriers. Whereas minimal surface roughness 0.4 μm and lower cutting temperature (85°C) were observed at low cutting speed, feed rate, and depth of cut (78.54 mm/min, 0.1 mm/rev, 0.1 mm) combination and minimum tool wear was found in moderate cutting speed conditions (117.81 mm/min, 0.1 mm/rev, 0.1 mm). Whereas highest cutting temperature and tool wear such as 130°C and 0.3 mm, respectively, observed in flood cooling environment at the cutting speed (157.08 mm/min, 0.3 mm/rev, 0.3 mm). Using the Taguchi method optimum condition was found in the NMQL cutting environment, at the combination of cutting speed 78.54 m/min, feed 0.1 mm/rev, and depth of cut 0.1 mm. From the ANOVA results, develop the predictive model whose results match with the experimental result. Finally, regression model was developed between the response variable and input parameters.
Mane, Pravin AshokDhawale, Pravin A.Nipanikar, SureshKhadtare, Avinash N.
The Electroimpact Automatic Fan Cowl Riveter uses two novel drill processes to control exit burr height and achieve the required hole quality in CRES (Corrosion-Resistant Steel, also called stainless steel) material stacks. Both processes use piloted cutters on the OML (Outer Mold Line, referring to the exterior surface of an airframe) side, and two different tools are used in a backside spindle on the IML (Inner Mold Line, referring to the inside surface of an airframe) side of the component. The first process uses a shallow-angle shave tool in the IML spindle to directly control the exit burr height after it is produced by the OML spindle and is called the “burr shave” technique. The second process uses a countersink tool in the IML spindle and produces an “intermediate countersink” after the pilot hole is drilled by the OML spindle, but before the final hole diameter is drilled. These drill processes were able to achieve the required hole quality in a challenging CRES material stack, which allows the machine to be qualified for one-up assembly of the component.
Schultz, RichPeterman, RandyLuker, ZacharyMurakonda, Sai KrishnaMerluzzi, James
Machining metal has its challenges as many shops will attest, but machining glass is another matter – one that Dan Bukaty Jr., President of Precision Glass & Optics (PG&O) is well schooled in. Mr. Bukaty and his 35-person shop manufacture high-end precision glass optics for customers such as IMAX, Intuitive Surgical, Boeing and NASA, to name a few. The products PG&O make can range from the ordinary to the extraterrestrial, such as mirrors that it fabricated for the Hobby–Eberly Telescope to measure dark energy in outer space.
To address the pressing issue of electrical fluctuations from renewable energy technologies, an energy storage system (ESS) is proposed. The vanadium redox flow battery (VRFB) is gaining significant attention due to its extended lifespan, durability, thermal safety, and independent power capacity, despite its high cost. Key components of the VRFB include a membrane, carbon electrode, bipolar plate, gasket, current collector, electrolyte, and pump. Among these, the carbon electrode and bipolar plate are the most expensive. Reducing capital costs in VRFB systems is crucial for advancing clean energy solutions. Conventional flow field designs like interdigitated flow field (IFF), serpentine flow field (SFF), and parallel flow field (PFF) are used to feed the electrolyte into the VRFB cell, necessitating thicker bipolar plates to avoid cracking during the machining process. This study focuses on optimizing the flow-through (FT) design, which eliminates the need for machining on bipolar plates, thus allowing for thinner bipolar plates. By enhancing cell performance through the design of porous electrode structures when operating at 5% depth of discharge (DoD), this study utilizes topology optimization, rather than conventional trial-and-error methods, to search for optimal porous electrode structures. The results revealed that an interdigitated-type flow channel design are created within the porous electrodes with different structures on both the positive and negative sides to achieve higher overall cell performance. The limiting current was found to be approximately 0.08, 0.13, and 0.41 A/cm2 for the cases of homogeneous electrodes in FT, IFF, and optimized flow-through (OFT), respectively. The peak power density significantly improved by 284% and 155% compared with homogeneous porous electrodes in FT and IFF, respectively.
Aiemsathit, PorametSun, PengfeiAlizadeh, MehrzadLaoonual, YossapongCharoen-amornkitt, PatcharawatSuzuki, TakahiroTsushima, Shohji
The windscreen is one of the key elements to enhance passenger comfort of touring motorcycle. The clarity through the windscreen should not discomfort the rider. The discomfort we discuss here mainly refers to three factors: the “distortion,” the “blur,” and the “transparency.” Introduced in this paper is the technical measures to achieve sufficient clarity by the injection molding method. Firstly, with respect to the “distortion,” we determined the main cause was local unevenness of plate thickness. As the uneven thickness were related to the accuracy of the die, we clarified the tolerable zone and carried out higher precision machining of the die to satisfy the requirements. Regarding the “blur,” we analyzed the refractive power of the windscreen and found the main cause of blur is the microscopic roughness on the surface. As the microscopic roughness were attributable to the die surface, we clarified the tolerable zone and established the polishing conditions satisfactory for the requirements. With respect to the “transparency,” it is necessary to maintain transparency after being scratched and degraded by weather in long term use. We determined to use the bio polycarbonate because of its good scratch and weather resistance, which are necessary for maintaining transparency. With all these technical measures applied, we have established the new injection molding method for the windscreens featuring sufficient clarity while taking the environmental protection.
Yamada, AtsushiEndo, Sakae
The current ASTM A653 standard for determining the bake hardening index (BHI) of sheet metals can lead to premature fracture at the transition radius of the tensile specimen in high strength steel grades. In this study, a new test procedure to characterize the BHI was developed and applied to 980 and 1180 MPa third generation advanced high strength steels (3G-AHSS). The so-called KS-1B methodology involves pre-straining over-sized tensile specimens followed by the extraction of an ASTM E8 sample, paint baking and re-testing to determine the BHI. Various pre-strain levels in the range of 2 to 10% were considered to evaluate the KS-1B procedure with select comparisons with the ASTM A653 methodology for pre-strain levels of 2 and 8%. Finally, to characterize the influence of paint baking at large strain levels, sheared edge conical hole expansion tests were conducted. The tensile mechanical properties of the 3G steels after paint baking were observed to be sensitive to the pre-strain with bake hardening indices exceeding 100 MPa. However, the sheared edge formability was not significantly affected by paint baking.
Northcote, RhysBerry, AvalonNarayanan, AdvaithTolton, CameronLee, HaeaSmith, JonathanMcCarty, EricButcher, Cliff
Reduction of frictional losses by changing the surface roughness in the form of surface textures has been reported as an effective method in reducing friction in the boundary regime of lubrication. Laser-based micro texturing has been mostly used to create these texture patterns and it is reported that it can reduce the frictional resistance by ~20-50%. However, the use of laser-based techniques for texture preparation led to residual thermal stress and micro cracks on the surfaces. Hence, the current study emphasizes using conventional micromachining on piston material (Al alloy Al4032) to overcome this limitation. Three variations of semi-hemispherical geometries were prepared on the surface of Al alloy with dimple depths of 15, 20 and 40 μm and dimple diameters of 90, 120 and 240 μm. Prepared textured surfaces with untextured surfaces are compared in terms of wear, wettability, and friction characteristics based on Stribeck curve behaviors. Results of this investigation demonstrated that the use of textures limited three-body abrasion wear, reduced wettability and extended the mixed regime of Stribeck curve for improved tribology behavior. Textured surfaces had effectively reduced mean coefficient of friction up to 12.6% for boundary regime of lubrication.
Sahu, Vikas KumarShukla, Pravesh ChandraGangopadhyay, Soumya
The initial powder used for the manufacturing of NdFeB permanent magnets is usually prepared through rapid cooling, either by melt spinning or strip casting. The powders produced by these two methods are suitable for different applications: while melt-spun powder is a good initial material for bonded and hot-deformed magnets, strip-cast powder is normally used for sintered magnets. To investigate the suitability of using strip-cast powder to manufacture hot-deformed magnets, NdFeB powder prepared by strip casting was hot pressed (without particle alignment) and compared with melt-spun powder prepared under the same conditions (700 °C, 45 MPa, 90 min). Although the processing parameters are the same (pressed in the same mold), the magnetic properties of the magnets made from the two powders are significantly different. Surprisingly, the magnet made from the strip-cast powder (after ball milling) shows comparable magnetic properties to those of isotropic magnets, with coercivity (HcJ) of 1270 kA/m and remanence (Br) of 0.7 T, while that made from the melt-spun powder exhibits much lower properties: HcJ = 480 kA/m, Br = 0.5 T, although the melt-spun powder initially shows much better magnetic properties than the strip-cast powder. Possible reasons for such a difference in magnetic properties are discussed. It was shown that the particle size of the initial powder plays an important role in determining the final magnetic properties of the hot-pressed magnets.
He, YouliangSong, ShaochangWalsh, DanBernier, FabriceMozharivskyj, YurijPeng, Philip
The final step in manufacturing high-precision parts for internal combustion engines, such as cylinder heads and blocks, is the removal of machining chips from the finished parts. This step is crucial because the machining chips and cutting oil left on the surface after machining can cause quality issues in the downstream engine assembly and affect the cooling system’s performance during engine operation. This chip removal step is especially critical for parts with internal cavities, such as the water jackets in cylinder heads, due to the difficulty of removing chips lodged in the narrow passages of these internal channels. To effectively remove chips from the water jacket, machining chip washing systems typically utilize multiple high-velocity water jets directed into the water jacket, creating flows with substantial kinetic energy to dislodge and evacuate the machining chips. For machining chip washing systems equipped with dozens of water nozzles, optimizing washing efficiency presents a significant challenge due to the large number of variables involved. Additionally, the optimization objectives and procedures can vary depending on the specific constraints of the process and the chosen criteria of the performance. For a complex system with many input factors and strong interactions among the factors, a trial-based experimental approach is no longer a viable option for designing effective machining chip washing systems. The goal of this paper is to develop a model-based engineering methodology utilizing computer simulations, with two objectives. The first objective is to create simulation models that employ a systematic procedure for determining the characteristics of the machining chip washing systems. These characteristics are defined by two performance criteria: local performance, which focuses on individual nozzle effectiveness, and global performance, which assesses overall chip washing efficiency. The second objective is to apply optimization algorithms to enhance system performance based on these characteristics. While local nozzle effectiveness will be optimized using the response surface method, the global washing efficiency will be optimized using the gradient descent method. By utilizing this approach, the complex high-dimensional optimization problem can be broken down into smaller, more manageable sub-problems, which can then be solved using conventional optimization algorithms.
Jan, JamesTorcellini, SabrinaKhorran, AaronHall, Mark
Los Angeles-based plastics contract manufacturer Kal Plastics deployed UR10e trimming cobot for a fraction of the cost and lead time of a CNC machine, cut trimming time nearly in half, and reduced late shipments to under one percent — all while improving employee safety and growth opportunities.
The chemical milling process used in the aerospace industry generates substantial metallic residue in the etching bath, referred to as chemical milling sludge (CMS). The direct disposal of CMS into the environment leads to ecological deterioration and economic losses. This study focused on the recovery of aluminum from the aerospace industry CMS, aiming to mitigate environmental harm and enhance resource efficiency. The energy-dispersive X-ray (EDX) analysis revealed that the aluminum content in extracted CMS increased significantly to 95.86%, compared to 28.98% in non-extracted sludge. The XRD analysis of the CMS extracted samples also revealed the presence of increased Al2O3. The surface morphology study suggested the irregularly shaped particles with large chunks, and fine granules were observed on CMS. The yield of Al2O3 was observed to be 35.9% (wt) prior to the calcination process followed by 12.1% (wt) after calcination. The phytotoxicity study indicated that the CMS inhibited plant growth and disposal of untreated sludge may lead to adverse impact on soil quality and disrupt ecosystem. This work contributes toward the sustainable waste management practices (i.e., waste to value) in the aerospace industry and recovery of valuable aluminum from the CMS.
Prasad, JagSonwani, Ravi Kumar
Abrasive water jet (AWJ) machining is the most effective technology for processing various engineering materials particularly difficult-to-cut materials such as aluminum alloys, steels, brass, ceramics, composites, and the like. The present study focuses on the experimental study on surface roughness and kerf taper is carried out during AWJ machining of Al 6061-T6 alloy with 40 mm thickness, and the influence of process parameters includes water jet pressure, standoff distance, and abrasive flow rate on the kerf taper and surface roughness is analyzed. The number of experiments is designed using Taguchi’s L9 orthogonal array. Experimental results are statistically analyzed using ANOVA. Also gray relational analysis (GRA) coupled with principal component analysis (PCA) hybrid approach was implemented to optimize the performance parameters. From the results it is found that standoff distance and hydraulic jet pressure are the most influencing parameters on surface roughness and kerf taper.
Kolluri, Siva PrasadSrikanth, V.Ismail, Sk.Bhanu, C.H.
The experimental investigation analyzed the performance of three machining conditions: dry machining, cryogenic machining, and cryogenic machining with minimum quantity lubrication (MQL) on tool wear, cutting forces, material removal rate, and microhardness. The outcome of this study presents valuable knowledge regarding optimizing conditions of turning operations for Ti6Al4V and understanding the machinability under cryogenic-based cooling strategies. Based on the experimentation, cryogenic machining with MQL is the most beneficial approach, as it reduces cutting force and flank wear with a required material removal rate. This strategy significantly enhances the machining efficiency and quality of Ti6Al4V under variable feed rates (0.05 mm/rev, 0.1 mm/rev, 0.15 mm/rev, 0.2 mm/rev, 0.25 mm/rev) where cutting velocity (120 m/min) and depth of cut (1 mm) are constant. The effects of the main cutting force, feed force, thrust force, material removal mechanism, flank wear, and microhardness on machining performance have been analyzed in this research work. It has been observed that higher cutting forces result in greater energy transferred to the workpiece material, leading to more effective material removal, and chip thickness is reduced in cryogenic plus MQL conditions compared to dry and cryogenic machining due to the excellent cushioning effect and reduced adhesion.
Misra, SutanuKumar, YogeshPaul, GoutamForouhandeh, Fariborz
With over 15,000 products, Boston Scientific is a market leader in pacemakers, defibrillators, monitoring equipment, spinal and brain stimulation, stents, catheters, and ablation devices. On one recent cardiac monitoring battery component, the company had an application running year-round on multiple mills, rectangular in shape, consisting of multiple milling operations per part, requiring an operator per mill at all times. Both Mill operations consist of multi-part fixtures as the process involved running Mill OP-1, light hand deburring and prepping the parts for Mill OP-2 fixture & process, following manual deburring step. The overall process was running around seven minutes per part.
Compared to manual driving, autonomous driving is more prone to the rapid development and deterioration of pavement distress due to the concentration of driving paths. Therefore, a reasonable and efficient maintenance strategy is required. To address the challenges posed by the numerous constraints and objectives in the maintenance strategy generation process, this paper proposes a multi-objective optimization-based method for generating pavement maintenance strategies. The approach leverages advanced pavement distress detection technologies to establish an initial maintenance program, incorporating a range of constraints and maintenance objectives, such as cost-efficiency, performance longevity, and environmental impact. The method applies a genetic algorithm (GA) to iteratively refine and optimize the maintenance strategy, ensuring that the solutions align with both immediate and long-term performance goals for autonomous vehicle operations. A case study utilizing real-world road data demonstrates the effectiveness of the proposed optimization method. The results indicate a significant improvement in the maintenance strategy's overall benefit index, achieving a value of 4.37, with a 1.3-fold increase in benefit performance ratio. Furthermore, when compared to conventional maintenance approaches that apply a single repair method (e.g., micro-surfacing, hot in-place recycling, or milling and overlay) across the entire route, the optimized planning resulted in notable performance gains. Specifically, the benefit performance ratios of the optimized plan increased by 6.92% for micro-surfacing, 2.31% for hot in-place recycling, and 1.54% for milling and overlay, demonstrating the advantages of tailored, multi-objective optimization. This optimization method not only provides essential technical support for the intelligent maintenance of autonomous driving routes but also offers valuable insights for future multi-objective decision-making in transportation infrastructure management. It lays the groundwork for more effective and sustainable road maintenance strategies in the era of autonomous driving.
Yang, LiwenyunLi, WeiChen, Leilei
Items per page:
1 – 50 of 1752