Browse Topic: Alloys

Items (20,055)
This specification covers a magnesium alloy in the form of die forgings 3 inches (76 mm) and under in nominal thickness at time of heat treatment, hand forgings 6 inches (152 mm) and under in nominal thickness, and forging stock of any size (see 8.5).
AMS D Nonferrous Alloys Committee
This specification covers a corrosion-resistant steel in the form of sheet, strip, and plate.
AMS F Corrosion and Heat Resistant Alloys Committee
This specification covers a corrosion- and heat-resistant steel in the form of forgings and forging stock.
AMS F Corrosion and Heat Resistant Alloys Committee
This specification covers flash-welded rings made of aluminum and aluminum alloys (see 8.5).
AMS D Nonferrous Alloys Committee
This specification covers a corrosion-resistant steel in the form of investment castings.
AMS F Corrosion and Heat Resistant Alloys Committee
This specification covers an aluminum alloy procured in the form of sheet 0.078 to 0.197 inch (2.00 to 5.00 mm), inclusive, in nominal thickness, Alclad on both sides (see 8.5).
AMS D Nonferrous Alloys Committee
Amid the rapid development of the new energy vehicle industry, the vehicle frame, as the core load-bearing component of the entire vehicle, plays a direct role in the vehicle’s safety, lightweight design, and power performance through its design and performance. Although research on new energy vehicle frames has matured, issues related to the lightweighting of drive shaft-associated structures and the balance between weight reduction and strength/stiffness still require in-depth exploration. This study focuses on the chassis of new energy vehicles, utilizing Q295 low-alloy high-strength steel. Based on the vehicle’s dimensions and mass parameters, a simplified 3D model was constructed using SolidWorks. Static analysis under bending and torsion conditions, along with a 6th-order modal analysis, was conducted using ANSYS software. Based on the analysis results, optimizations were implemented at both structural and material levels: structurally, the central crossbeam was widened, holes were opened on the crossbeam’s vertical plane to reduce weight, and the longitudinal beam welding process was optimized; materially, Q295 steel was retained in high-stress zones, while aluminum alloy replaced it in low-stress zones. The optimized frame achieved a 15% reduction in torsional stress, a 16% decrease in bending stress, a 2% reduction in torsional deformation, and a 3% decrease in bending deformation. Total mass decreased by 12.7 kg, with both strength and stiffness meeting design requirements. This approach synergistically enhances frame lightweighting and performance, providing technical support for optimizing the overall performance of new energy vehicles.
Guo, LihongWang, YiyouYang, Zihao
This specification covers a corrosion-resistant steel in the form of wire 0.007 to 0.625 inch (0.18 to 15.88 mm), inclusive, in nominal diameter, cold drawn to Condition C, and capable of being precipitation heat treated to Condition CH900.
AMS F Corrosion and Heat Resistant Alloys Committee
In this work, molecular dynamics simulations are applied to systematically examine the influence of varying temperatures (300 K, 500 K, and 700 K) on the Elevated-temperature compression behavior and micromechanical characteristics of polycrystalline Al-Mg-Si aluminum alloy. A nanopolycrystalline model was established to analyze the stress–strain response, dislocation evolution, and crystal structure changes occurring during the deformation process. The simulation results show that the yield strength and elastic modulus both decline as temperature increases, indicating a pronounced thermal softening effect. During the early stage of plastic deformation, dislocations mainly have their nucleation sites at grain boundaries and then propagate into the grain interiors, where they form interconnected networks along with stacking faults and twin structures. This work reveals the thermal deformation mechanisms of Al-Mg-Si aluminum alloy at the atomic scale and provides theoretical guidance for the optimization of its hot-working processes.
Sun, RuifengLiu, ShoukuiWang, RuiSun, XuemeiDing, ShuliMa, Xiaofei
This specification covers a corrosion- and heat-resistant steel in the form of wire.
AMS F Corrosion and Heat Resistant Alloys Committee
This specification covers a gold-palladium-nickel alloy in the form of wire, rod, sheet, strip, foil, pig, powder, shot, chips, preforms, and a viscous mixture (paste) of the powder in a suitable binder.
AMS F Corrosion and Heat Resistant Alloys Committee
This specification covers an iron-nickel alloy in the form of strip 0.020 to 0.250 inch (0.51 to 6.35 mm), inclusive, in nominal thickness.
AMS F Corrosion and Heat Resistant Alloys Committee
This specification covers a corrosion- and heat-resistant nickel alloy in the form of welding wire.
AMS F Corrosion and Heat Resistant Alloys Committee
This specification covers a corrosion-resistant steel in the form of bars, wire, forgings, extrusions, flash-welded rings, and stock for forging, extruding, or flash-welded rings.
AMS F Corrosion and Heat Resistant Alloys Committee
This specification covers a corrosion- and heat-resistant nickel alloy in the form of welding wire.
AMS F Corrosion and Heat Resistant Alloys Committee
This specification covers a manganese bronze alloy in the form of sand and centrifugal castings (see 8.5).
AMS D Nonferrous Alloys Committee
This specification covers a corrosion- and heat-resistant steel in the form of welding wire.
AMS F Corrosion and Heat Resistant Alloys Committee
This specification covers a corrosion- and heat-resistant steel in the form of welding wire.
AMS F Corrosion and Heat Resistant Alloys Committee
This specification covers a corrosion- and heat-resistant nickel alloy in the form of welding wire.
AMS F Corrosion and Heat Resistant Alloys Committee
To fulfill the multi-tube launch requirements for a specific folding-wing UAV, this study improves the structure of the existing storage-launch container. Based on the finite element method, a parametric model of the container is established, and a multi-condition mechanical analysis is carried out for various storage, transportation, and launch conditions. The difference between the first six natural frequencies of the free mode and the prestressed mode is compared and analyzed. The modal analysis model considering prestress is used to identify the optimization area of the container. The variable density method (SIMP) is used to optimize the topology of the container, with the volume of the container as the constraint condition and the minimum strain energy as the optimization goal. The optimization results show that the first-order modal natural frequency of the container is increased by 108%, and the first six natural frequencies are increased to a safe range, which effectively avoids the resonance risk. At the same time, the quality is reduced by 29%, and good optimization results are achieved.
Yuan, WeiyangJi, YuguoLiu, ZhipengYu, Wenxin
In this paper, 6061-T6 aluminum alloys were subjected to high-speed friction stir welding. The associated weld formation, microstructure, and mechanical properties were systematically examined via combined experimental observation and numerical simulation approaches. At a welding speed of 3000 mm/min and a rotation rate of 3800 rpm, the defect-free weld was simply achieved due to the simultaneous intense thermal input and enhanced material flow. Microstructural analysis further demonstrated a fine equiaxed grain structure featuring a predominant simple shear texture with A/A components. The resultant joint exhibited an ultimate tensile strength equivalent to 80% of the base material, accompanied by excellent fracture elongation. This research provides experimental evidence for designing high-efficiency and high-quality bonding processes for aluminum alloys.
Guan, YuankaiWang, RuiyangZhang, KexinLin, ZhichengDeng, JunLiu, ZheGanushchak, OlegVoitenko, OleksandrZhao, YunqiangGao, Shiyi
SiC-based power devices are favored for high-voltage and high-power applications due to their superior material properties. However, the demand for higher breakdown voltages and improved channel mobility presents significant challenges to the etching process, especially the micro-trenching effect. In this study, etching results from inductively coupled plasma (ICP) have been presents, which focused on using various SF6/O2/Ar gas ratios to eliminate micro-trenching effect. The profile analysis of micro-trench was taken by cross-sectional scanning electron microscopy (SEM). The results demonstrate that micro-trenches primarily originate from the coupling effect between ion multi-reflection from sidewalls and redeposition of etch byproducts. Based on this mechanism, we propose a quasi-Bosch process: a combined polymerization and etching step in oxygen-fluorine-rich plasma deposits polymer on exposed SiC and the mask, while removing it from the structure bottom via ion bombardment to enable etching and passivation; then alternates with a short fluorine-plasma step, which consumes sidewall polymer through ion incidence and prevents SiFxOy charge accumulation, cycle etching gradually deepens the structure without micro-trenches. Different gas ratios and etching time not only change the plasma energy distribution but also affect the temporal synchronization between etching and passivation steps. This approach reduces the special demands on ICP equipment capabilities while achieving superior trench profiles. The optimal etching conditions produced a micro-trench-free SiC structure with a vertical sidewall angle and a surface roughness of less than 1 nm. This methodology and resulting structures significantly advance the manufacturability of high-performance SiC power devices, enabling next-generation applications in electric vehicles and grid infrastructure where device yield and reliability are paramount.
Zhao, YingfanDong, ShuangSun, XiaoxuChang, XiangpengLiang, YiweiTong, Weiping
Considerable the gallium-based alloys low melting point coupled with easy to synthesize intermetallic compounds with diverse metallic elements, employing liquid gallium-based alloys as the soldering medium and leveraging ultrasonic as assistance are effective to construct pure copper joints under atmosphere condition. The investigation delves into the characterization of the reaction products, interface microstructure, elemental distribution patterns, and evolution of shear strength within the welds. Furthermore, the pivotal role of ultrasonic waves and constituent element diffusion mechanisms during the solidification phase is elucidated. Thus, the initial one-day occurred during solidification showed the 2.6 MPa shear strength but with the time increased to four and a half days, the shear strength raised to 8.4 MPa at room temperature. Thereinto, the results indicate the weld seam has achieved metallurgical connection. This innovative welding technique operates at room temperature provides significant guidance for designing a novel perspective low-temperature joining for applications. It is not only augments the repertoire of material connection methodologies but also presents a viable joining strategy for sensitive elevated temperature materials. Therefore, such process possesses substantial practical significance and promises avenues for future applications.
Guo, ManyingQu, YingyingFang, QiuyueYang, Shen
A finite element analysis was conducted on the plastic deformation of 6 mm AZ31 magnesium alloy thin plates rolled asynchronously. Different reduction rates were adopted to analyze their influences on the bending deformation, rolling force, equivalent stress, and equivalent strain of the plates. The finite element analysis of asynchronous rolling was carried out when the single-pass reduction rates were 66%, 58.3%, 51.6%, 41.6%, and 35%, respectively. The results show that as the reduction rate decreases, the rolling force increases. Furthermore, considering the influencing factors of the rolling process parameters, it is determined that when the optimal rolling process reduction rate is 41.6%, the rolling effects of rolling force, stress, and strain are better, which is conducive to the rolling process.
Liu, BaishunLi, LiWang, Baozhong
Additive manufacturing (AM) processes facilitate the production of components with high geometrical complexity, presenting substantial opportunities for innovation in demanding sectors such as aerospace and biomedical engineering. A significant challenge impeding their broader application is the characteristic surface roughness of as-fabricated parts, which results from the layer-wise construction and the presence of partially melted powder particles. While electrochemical polishing (EP) represents a viable post-processing technique for achieving a smooth surface finish, a comprehensive understanding of how the non-equilibrium microstructures characteristic of AM materials interact with the EP process remains incomplete. This investigation centers on the electrochemical polishing behavior of Ti-6Al-4V alloy fabricated by direct energy deposition (DED), utilizing a sodium chloride-ethylene glycol electrolyte. The findings reveal that the material's distinct engenders anisotropic anodic dissolution. This behavior is attributed to the differential electrochemical potentials among the constituent phases and their crystallographic orientations, which consequently narrows the operational process window for effective, uniform polishing. This preferential dissolution of certain phases results in the formation of a subtle, micro-scale topographical variation that mirrors the orientation of the original columnar grain structure. Notwithstanding this microstructural influence, the EP treatment proved highly successful in refining the surface finish, substantially decreasing the average surface roughness from 0.350 μm to 0.042 μm. Concurrently, the treatment led to a significant enhancement in the alloy's corrosion resistance, attributed to an oxide layer. These findings underscore the critical necessity of accounting for microstructural characteristics when developing optimized electrochemical polishing protocols for additively manufactured components.
He, HongxiWu, ChenxiLi, YongjunKang, Chengwei
To address the failures observed in aluminum-alloy fuel tanks, specifically, cracking of the dual-chamber sealing partition, end cover, and drain boss, finite element analysis was employed for comprehensive calculation and structural optimization. Stress, strain, and displacement under varying load conditions were evaluated, revealing that failures of the sealing partition and end cover were due to stress concentration. At the same time, the cracks in the drain boss were caused by weaknesses in the weld heat-affected zone. Three optimization measures were proposed: adding an R5 chamfer to sealing baffles, incorporating R5 transitional fillets on the reinforcing ribs of the end caps, and designing the drain boss as an asymmetrical elliptical shape with a central transitional fillet. Following these optimizations, the maximum stress on the components was significantly reduced, and the safety factor markedly increased. Results from sealing, pressure, and vibration tests confirmed that these measures effectively enhance the structural strength of aluminum-alloy fuel tanks and extend their service life. This study provides robust support for the design and analysis of aluminumalloy fuel tanks.
Chi, HongLei, HaisenSun, LiyingZhang, ZhitongWu, Xiaoci
Fatigue design is a key common quality technology for improving the quality control capability of China’s automotive products. The fatigue of materials is a multi-scale damage evolution process. Characterizing and processing the large number of three-dimensional defects inside the material, which have different shapes and distributions, and predicting the material’s lifespan based on the cross-scale damage evolution mechanism, is one of the key technologies for fatigue optimization design. This paper discusses the research methods for the fatigue life of aluminum alloy materials. Firstly, based on the staged fatigue damage experiments, the three-dimensional defect features are obtained through CT scanning and reconstruction, and a defect characterization and processing method based on k-d tree and multi-scale feature pyramid is established to accurately represent the topological and geometric relationships of non-uniformly distributed three-dimensional defects. Secondly, a mathematical model for the evolution of micro-damage and macro-cracks is constructed, and the cross-scale transformation of defects is achieved through hierarchical and recursive methods, revealing the cross-scale evolution mechanism of fatigue damage in aluminum alloy materials. Finally, a remaining life prediction model based on defect information and feature weights is established through the support vector regression algorithm (SVR). This research method can provide technical support for the fatigue life optimization design application of lightweight materials such as aluminum alloys.
Zhang, LiangxiaNiu, ZhijunCheng, FangfangChen, HaoYang, Yali
Low-frequency vibrations in ships have detrimental effects on the lifespan of onboard equipment and the comfort of crew members, thereby highlighting the importance of developing efficient vibration-damping materials as a critical research area. This study investigates the application of Mn-Cu damping alloys for mitigating vibrations within the 0–1000 Hz frequency range, which is typical of ship environments. The vibration-damping characteristics of the material were examined through a combination of experimental and numerical simulations. A numerical simulation framework was developed to predict the vibration response of manganese-copper damping alloys, incorporating a frequency-dependent damping ratio model derived from experimental characterization. Comparative analyses validated the accuracy of vibration simulations that incorporate frequency-dependent damping ratios and demonstrated the superior vibration attenuation performance of the Mn-Cu damping alloy across the 0-1000 Hz frequency band. Deck application analysis revealed that manganese-copper damping devices reduced the root mean square (RMS) vibration acceleration of the ship deck by up to 17.5% in the 0-1000 Hz frequency range compared to aluminum alloy counterparts. The damping effect was particularly significant in the 400–1000 Hz range, where vibration energy dissipation was most effective due to the material's intrinsic damping mechanisms. Additional engineering evaluation confirmed that the Mn-Cu alloy components maintain structural integrity while providing enhanced damping performance under typical marine environmental conditions. This study establishes a theoretical foundation for the design of ship vibration-damping materials, expands the potential applications of damping alloys in marine engineering, and provides valuable reference data for material selection and vibration control design in shipbuilding and offshore engineering applications.
Yao, SitongTian, AliZhao, Xianghua
To facilitate the development and application of bulb-flat titanium alloys in aerospace and automotive industries, this study selects TC4 as the research material and employs finite element simulation software to simulate the hot rolling process of TC4 bulb flat titanium. The temperature field, strain field, and metal flow velocity in each rolling pass are analyzed, and rolling experiments are conducted after optimizing the roll pass system. The results indicate that during the rolling process of TC4 bulb flat titanium, the head undergoes relatively smaller deformation, resulting in a slower temperature decrease, whereas the waist experiences greater deformation and a faster temperature drop. A significant temperature difference exists between the core and surface, which can be mitigated by appropriately increasing the roll temperature to reduce heat transfer. Prior to the K4 pass, the billet temperature drops to a level that may affect rolling performance, necessitating furnace reheating. Strain increases progressively with each rolling pass, with higher values observed at the waist compared to the head. A gradual strain transition occurs at the interface between the head and waist. Furthermore, the irregular design of the roll pass leads to a considerable difference in metal flow velocity between the upper and lower surfaces. During the K1 pass rolling, this imbalance can cause the guide guard to be displaced upward and result in roll wrapping. Without altering the roll diameter, shifting the entire roll pass system toward the side with higher metal flow velocity effectively reduces the linear velocity and prevents these issues, ensuring stable billet rolling. Rolling experiments successfully produced the final TC4 bulb flat titanium, thereby validating the feasibility of the optimized roll pass system and the rationality of the selected rolling parameters. It provides the possibility for its development and application in fields such as aircraft and automobiles.
Wu, XiaojuanLiu, DongmingWen, Mingyue
Blended metal powders offer a compelling alternative to pre-alloyed powders in metal additive manufacturing by providing access to a wider range of alloy compositions and avoiding the high costs in producing pre-alloyed powders. In this work, a new and crack-free Ti-5AlMnScZrMgSiFe alloy (in wt.%) was manufactured by laser powder bed fusion (L-PBF) from mixed powders to investigate the microstructures, mechanical performance of printed parts. Ti-5 AlMnScZrMgSiFe alloy contains both alpha (α) and alpha prime (α′) phases. Further microstructural characterizations show that the L-PBF Ti-5 AlMnScZrMgSiFe contain dense dislocations and twins formed in additive manufacturing process. The as-printed Ti-5 AlMnScZrMgSiFe alloy exhibits a tensile fracture strength of ~950 MPa with a fracture elongation of ~12.5%. The eye-catching properties are attributed to the dense dislocations, nano-twins and solid-solution strengthening.
Feng, ShuaiGuan, ShuaiKong, HaohaoSun, YingxiangSong, YoupengHou, YaqingBi, ZhongnanZhang, Shaoming
The morphological characteristics of ternary phase diagrams play a pivotal role in optimizing material properties and facilitating the design of novel alloys. In this study, machine learning (ML) is used to predict the number of phases in ternary alloy systems. A new feature descriptor for phase diagram prediction is proposed in ML, which includes the characteristics of element properties, thermodynamic properties of materials and CALPHAD parameters. Initially, this study constructed a dataset comprising various feature descriptors and validated their correctness employing ML models such as LRC, SVM, RFC, Bagging and GBDT. Subsequently, comparing the performance of different models, and the better-performing models Bagging and GBDT were selected for further prediction studies. The models were fine-tuned using grid search and random search methods to optimize their predictive performance. Ultimately, by predicting phase diagram data for multiple ternary systems at different temperatures, the accuracy rate near the temperature range of the given experimental data was approximately 82%. This demonstrates phase diagram descriptors in conjunction with machine learning to predict ternary phase diagram proposed in this study is practicable. The predicted data also provide guidance for experimental determination of phase diagrams and lay the foundation for future material design and optimization.
Fan, HanchaoSu, YuJin, ZongxiaoLi, JunLee, SoowohnTang, JianguoFu, HuaqingDu, Zhi
This study proposes a data-driven surrogate modeling framework for predicting solidification time and mold thermal stress during low-pressure die casting (LPDC) of aluminum alloy wheels. The methodology employed an optimal Latin hypercube design (OLHD) to sample key parameters including cooling channel geometry and process conditions. A sequential simulation methodology combining ProCAST and Abaqus was implemented to generate a comprehensive dataset of solidification times and thermal stress distributions. Based on this dataset, surrogate models were developed using Support Vector Regression, Kriging, and Polynomial Response Surface Methodology, with their hyperparameters automatically tuned through Bayesian Optimization (BO). The optimized models were rigorously evaluated using four statistical metrics: Coefficient of Determination (R2), Mean Squared Error (MSE), Mean Absolute Error (MAE), and Root Mean Squared Error (RMSE). The evaluation results show that the BO–SVR model demonstrated superior prediction accuracy for both output responses and exhibited exceptional nonlinear fitting capability. This work establishes an effective modeling approach for simultaneous quality and efficiency optimization in wheel manufacturing.
Fuhao, FanZhan, YunlangZhan, ZhenfeiYang, YutongXiao, YongHuang, Shiyao
As a key structural component of scroll compressors, the forming quality of the scroll plate directly affects overall performance. To address the issues of high forming load and poor rib filling in conventional processes, this study investigates the semisolid closed-die forging of 6061 aluminum alloy through numerical simulation. Semisolid rheological data were obtained from high-temperature compression tests. We also formulated an Arrhenius-type constitutive model to predict material behavior. This model proved highly reliable, achieving a correlation coefficient of 0.99547 and keeping the average absolute relative error down to 3.67%. By employing both orthogonal experiments and simulations, we evaluated how different process parameters impacted the outcome. This analysis ultimately yielded an optimal parameter combination: a die temperature of 350°C, a billet temperature of 600°C, and a punch velocity of 10mm/s. Under these conditions, the forming load, flow behavior, stress–strain distribution, and temperature evolution were analyzed. The results show complete rib filling, uniform deformation, and absence of defects, providing theoretical guidance for industrial applications of semisolid closed-die forging of scroll plates.
Xiong, LinhuaZhang, MengjiaoChang, MingLiu, BoyangWang, YongfeiZhao, Shengdun
This study systematically discussed the high-temperature flow behavior of the Mg-Al-Zn based AZ91 alloy, which has significant application potential in modern aviation and automotive industries. The study was carried out in the temperature range of 250°C-450°C and the strain rate range of 0.001 s^−1 -0.1 s^−1, which met the typical industrial hot processing environment. The analysis of high-temperature flow behavior shows that the flow stress is inversely proportional to the deformation temperature and is proportional to the strain rate. An important finding is that the constitutive model parameters are significantly sensitive to strain, so the strain-compensated Arrhenius constitutive model is developed. The model shows high accuracy in predicting the thermal flow stress of AZ91, and provides a valuable calculation tool for the simulation and optimization of forming processes in aerospace parts manufacturing. The results show that the extruded original microstructure presents slender fine grains, while the deformed sample shows a temperature dependent transformation: the low-temperature bimodal structure evolves into uniform fine grains at intermediate temperature, and the grains begin to coarsen at high temperature. At constant high temperature, low strain rate promotes grain growth and twin formation, while high strain rate refines grains and inhibits twins, and dislocation slip is the dominant deformation mechanism. These findings provide vital guidance and support for optimizing hot working parameters of AZ91, and are particularly important for manufacturing lightweight components in aircraft structures and automotive systems. The established process performance relationship is helpful to develop energy-saving manufacturing strategies for transportation equipment, and supports the goal of reducing weight and improving performance in the industrial field.
Li, JusenChang, MingZhu, WenyuSun, HaoranChen, KaidaYang, XiaoyinZheng, ZhenhaoZhao, Shengdun
Laser welding technology for aluminum alloy electrode and busbar connections: addressing challenges in battery module assembly. In this work, a CFD framework was built in ANSYS Fluent using a Gaussian rotating heat-source representation, while a VOF approach was used to capture the transient gas–liquid interface in deep-penetration welding. A three-dimensional, transient, thermal-fluid coupled numerical model of the dual-layer heterogeneous aluminum alloy laser deep penetration weld pool was established concurrently with laser deep penetration welding experiments. Results indicate: Peak flow velocities in the weld pool during welding are concentrated along the weld centerline, with flow vectors predominantly directed axially along the weld. Once a quasi-steady keyhole regime is established, vaporization-induced recoil pressure becomes the primary driver governing melt circulation. The liquid metal first impinges on the pool bottom along the keyhole wall and then recirculates upward near the pool boundary, producing strong vortical motion. These findings are intended to support parameter selection and process optimization for laser welding of layered dissimilar aluminum components used in battery tab–busbar assemblies.
Lv, WenjunWu, Yan
This study aimed at the characterization and validation of a drum-brake spider with mass reduction, using a new concept of a nanostructured ductile cast iron alloy. There is a well-known effort in developing lighter, more competitive products with higher safety and longer service life for brake systems. One of the approaches that enables this type of development is the use of new materials capable of delivering superior performance. Conventional ductile cast iron alloys used in brake spiders exhibit limited mechanical properties, which restricts mass reduction while still ensuring high durability in service. One way to obtain high-performance ductile cast iron alloys is through heat treatments such as austempering (ADI), which provides significant gains in mechanical strength but involves high cost and environmental liabilities due to the use of salt baths. The modified and nanostructured ductile cast iron alloy proposed in this work exhibited mechanical properties in the as-cast condition that meet the standards for ADI-treated ductile irons, showing an increase of 102% in tensile strength and 78% in yield strength compared to the baseline spider. Based on this new material, a topology optimization was performed on the baseline spider model, resulting in an optimized design with a 40% mass reduction. The model was validated using casting simulation software, and tooling was manufactured for producing the new optimized spider samples in the nanostructured ductile cast iron alloy. Static mechanical properties and microstructure were determined and approved, allowing the fatigue testing phase to proceed. Initially, the spider samples were instrumented with electrical strain gauges and subjected to the standard structural bench test known as the Chuker test, which can simulate real operating conditions of the brake system. Considering that this test requires extended bench time, an accelerated durability test was developed for the new spider model using three servo-controlled hydraulic cylinders, based on the stress levels obtained. The results from the accelerated durability bench test demonstrated superior fatigue life for the optimized spider compared to the baseline model, also validating the new testing procedure.
Titton, Angelo PradellaTuzzin, MatheusLopes, Carlos H. R.Marcon, LucasPereira, LeonardoTedesco, Jaime LuizBoaretto, JoelVieceli, AlexandreKlein, Aloísio N.
Machine learning (ML) techniques are increasingly being applied to establish correlations between input parameters and key process responses in the wire arc additive manufacturing (WAAM) process. Despite their potential, there remains limited understanding of how to develop an integrated ML framework that simultaneously considers both the dataset characteristics and the modeling approach to ensure accurate and reliable predictions. The present study addresses this gap by developing an integrated ML framework to predict the deposition behavior of Inconel 625 in WAAM. To capture nonlinear system behavior, three ML methods, namely artificial neural network (ANN), support vector machine (SVM), and adaptive neuro-fuzzy inference system (ANFIS), were developed and systematically evaluated for predictive modeling and process optimization, considering deposited geometry, area, and efficiency as the key output characteristics. The input parameters, i.e., voltage, wire feed rate, torch travel speed, and shielding gas flow rate, were identified as critical factors influencing the deposition process. The datasets were preprocessed to remove noise and analyzed to extract relevant features that captured the intrinsic physical behavior of the process. Performances of the ML models were evaluated using a separate test dataset, and predictions were assessed through mean absolute percentage deviation (MAPD). Results demonstrated that integrated ML framework could accurately represent intricate interdependencies among process parameters on deposition outcomes, providing a robust method of predictive modeling and parametric process optimization for Inconel 625 deposition by WAAM process. The ANN model demonstrated satisfactory performance for forward modeling with MAPD values of 12.24, 14.87, and 11.91 for deposition geometry, deposition area, and deposition efficiency, respectively. For inverse modeling, the ANN accurately predicted key inputs from outputs, with MAPD values of 1.39, 18.91, 12.25, and 19.36 for voltage, wire feed rate, torch speed, and shielding gas flow rate, respectively. Bidirectional predictive modeling keeps to set operating conditions to achieve desired depositions and process automations.
Samanta, AvishekMaji, Kuntal
Corrosion critically damages structural strength and affects the structural safety, so there is an urgent need for a method that can accurately model and predict corrosion. Digital twin technology offers new methodologies for corrosion research. This study develops a digital twin-enabled virtual-reality mapping model for simulating aluminum alloy pitting corrosion. The model accounts for the effect of temperature on corrosion and establishes temporal correlations between field conditions and simulations through damage factor (DF) analysis coupled with detailed fatigue rating (DFR) methodology. Experimental validation using 7A04 aluminum specimens confirms the model’s reliability, with maturity analysis demonstrating its applicability in aircraft corrosion research. Through numerical simulation methods, this study simulates the evolutionary law of pitting corrosion development, reflecting the level of structural pitting corrosion damage. This investigation establishes a fundamental theoretical framework for condition monitoring and lifetime prediction of aircraft components affected by pitting corrosion.
Lv, ShengliLiu, ChenglongSun, Jingjue
This paper introduces the electroplastic effect into the sheet metal incremental forming process, using 2A12 aluminum alloy as the research material. An orthogonal experiment was designed, and the results were analyzed using range analysis and matrix analysis methods. The influence of electric current, frequency, and traditional incremental forming parameters on the forming accuracy of 2A12 aluminum alloy sheets was investigated. The results show that the introduction of pulse current can improve the forming accuracy of 2A12 aluminum alloy sheet. And within a certain range, as the electric current increases, the geometry accuracy of the part is significantly improved. Based on two accuracy indicators—average springback amount and springback angle, a comprehensive analysis determined that the optimal forming parameters are electric current 375 A, feed rate 600 mm/min, step size 0.6 mm, tool diameter 12 mm, and current frequency 400 Hz.
Pan, FeiZhao, QuanguangHuang, XuFang, Jinxiu
Cu-Fe alloys exhibit excellent performance, and increasing Fe content reduces costs. However, high-Fe Cu-Fe alloys exhibit limited formability at room temperature, while warm rolling improves their processability. This research investigates the effect of rolling temperature on the microstructural transformations and texture development in the Cu-10Fe alloys. The experimental result is that during cold rolling, the morphology of Fe phases is mainly fibrous. With the rolling temperature rising, the microstructural morphology of Fe phases becomes globular / elliptical. The difference is that with the increase in rolling temperature, the average grain size of the Cu-10Fe alloy first decreases and then increases. The matrix microstructure remains dominated by deformed grains, with significant recovery observed at 500 °C. The Fe-phase microstructure primarily consists of substructured grains, and dynamic recovery intensifies with rising temperature. During cold rolling, high dislocation density and localized strain heterogeneity lead to dispersed texture orientations and low strength. In contrast, warm rolling promotes dislocation climb and dynamic recovery, triggering partial recrystallization. This reduces randomly oriented grains, enhances the strength and continuity of specific textures, and establishes a more concentrated texture distribution. This forms a structure with fine recrystallized grains embedded within deformed grains, exhibiting slightly lower strength than cold-rolled samples but better elongation. These findings reveal the crucial role of deformation temperature in controlling microstructure transformation and texture evolution, especially by regulating the recovery and recrystallization behaviors of Cu-10Fe alloys. The above results hope to provide some theoretical and experimental basis for a new approach to improve processing technologies for new Cu-Fe-based composites.
Lin, BaosenHuang, SuWang, DongxiaoLi, Jianping
Adjustable-angle dental implants are favored by many patients due to the advantages they provide, such as high chewing force, aesthetics, comfort, and no harm to the adjacent teeth. This paper proposes a finite element modeling method for adjustable-angle dental implants by changing the material used for manufacturing the implants and predicting the life span of the dental implants with the help of Pro/E and ANSYS Workbench software, which provides biomechanical data reference for the selection of new implant parameters for industrial production and clinical use. The results show that the structural life of the implant is almost 764 years for pure titanium, 821 years for Ti6Al4v, and 1,274 years for βTi. From the analysis of the safety factor diagrams of the structures, it can be obtained that the smallest safety factor of the entire implant system occurs in the part where the abutment and the connection are in contact with each other during loading. In contrast, the smaller safety factors occurred in the abutment bumps, the ear stacks of the two grooves of the connector, and in the area of contact between the connector and the implant.
Gu, WeiCheng, SiyuanLiao, Jifei
When the aluminum alloy closure of the solid rocket motor nozzle is opened, tearing occurs at the root of the adhesive surface, which belongs to damage failure under a complex stress state. To help in the prediction and control of blasting pressure and nozzle closure failure morphology, this work designed and manufactured various shapes of 1060 aluminum alloy test specimens, performed damage tests, and calibrated the damage constitutive model parameters. The results gathered were utilized to create a finite element model of the nozzle aluminum alloy closure, and the blasting procedure was calculated. We conducted air pressure explosive tests on closures to confirm the finite element results. The numerical predictions and experimental results are very consistent, and the closure breaks along the adhesive surface. The constitutive characteristics obtained during material testing accurately characterize the closure’s damage process, providing a theoretical framework for the design and verification of aluminum alloy closures.
Jia, KaiLi, Weinan
This specification covers a corrosion- and heat-resistant nickel alloy in the form of plate nominally 2.00 inches (50.8 mm) and under in thickness, inclusive.
AMS F Corrosion and Heat Resistant Alloys Committee
This specification covers a corrosion- and heat-resistant cobalt alloy in the form of bars, forgings, flash-welded rings, and stock for forging or flash-welded rings.
AMS F Corrosion and Heat Resistant Alloys Committee
The impact of a titanium nitride (TiN) coating by the cathodic arc deposition (CAD) technique on a 316L stainless steel (SS) 316L substrate is examined in this experimental work. The X-ray diffraction study showed that TiN made the osbornite phase grow in the coated specimen. The SS 316L sample had a hardness of 217.66 HV, and the samples with CAD coatings were five times harder than the uncoated disc. The wear test was conducted using a pin-on-disc tribometer under dry and wet conditions at loading conditions of 2 N, 4 N, and 6 N with the counterpart of grade 5 titanium alloy (Ti6Al4V). Wear resistance improved significantly, with the wear rate decreasing markedly after coating compared to the uncoated sample. The wear morphology of the wear on the contact surfaces was identified by SEM analysis of the images. The biocompatibility of the ceramic-coated SS 316L sample with the normal cell line was proved by a cell viability test. The demand for SS 316L and the use of CAD coatings to reduce friction and wear in bio-implant applications were the main topics of the current study.
Gopi, R.Devaraju, A.Sivasamy, P.Raju, M.
This specification covers a corrosion- and heat-resistant nickel alloy in the form of sheet, strip, and plate.
AMS F Corrosion and Heat Resistant Alloys Committee
This specification covers a corrosion-resistant steel in the form of sheet, strip, and plate.
AMS F Corrosion and Heat Resistant Alloys Committee
This specification covers a corrosion- and heat-resistant nickel alloy in the form of seamless tubing.
AMS F Corrosion and Heat Resistant Alloys Committee
This specification covers a corrosion-resistant steel in the form of investment castings.
AMS F Corrosion and Heat Resistant Alloys Committee
Items per page:
1 – 50 of 20055