Browse Topic: Fatigue

Items (3,128)
This study provides an extensive analysis through finite element analysis (FEA) on the effects of fatigue crack growth in three different materials: Structural steel, Titanium alloy (Ti Grade 2), and printed circuit board (PCB) laminates based on epoxy/aramid. A simulation of the materials was created using ANSYS Workbench with static and cyclic loading to examine how the materials were expected to fail. The method was based on LEFM and made use of the Maximum Circumferential Stress Criterion to predict where cracks would happen and how they would progress. Normalizing SIFs while a crack was under mixed loading conditions was achieved using the EDI method [84]. We used Paris Law to model fatigue crack growth using constants (C and m) for the materials from previous studies and/or tests. For example, in the case of titanium Grade 2, we found Paris Law constants with C values from 1.8 × 10-10 to 7.9 × 10-12 m/cycle and m values from 2.4 to 4.3, which illustrate differing effects of their
T, LokeshBhaskara Rao, Lokavarapu
Fatigue analysis is a vital aspect of suspension design, especially for load bearing components such as the Rear Twist Beam, where durability under cyclic loading is essential for long-term vehicle performance. Among the various durability tests, the roll fatigue test is a key procedure for validating suspension strength and reliability. However, conducting physical roll fatigue tests can be both expensive and time consuming, particularly when multiple design iterations are required. This not only increases cost but also extends the development timeline. This study presents a virtual simulation methodology that replicates roll fatigue test conditions within a finite element analysis environment, enabling early fatigue assessment and design optimization. Developed to support the early design phase, the roll fatigue test simulation process ensures robust designs that meet targeted fatigue life requirements. The approach begins with a detailed understanding of the physical roll fatigue
Kokare, SanjayNagapurkar, TejasIqbal, Shoaib
In heavy-duty tippers, where challenging conditions demand high torque, planet carriers play a crucial role by enabling efficient load distribution and torque transmission while supporting gear ratio and speed variation in space-constrained systems such as automatic transmissions, hybrid drivetrains, and electric vehicles. This paper focuses on the comprehensive durability performance assessment of planet carrier housing (PCH) using duty cycles derived from road load data acquisition (RLDA) measurements for a heavy-duty tipper gearbox development program. The existing Design Validation Plan (DVP) for the planet carrier considers first gear utilization of 10-15% at 40% vehicle overload, in line with historical data. However, recent trends in mining applications revealed vehicle overloads of 55-65%, leading to an increase in first gear utilization (25-35%). This shift presents challenges for original equipment manufacturer (OEM) to enhance design durability while incorporating additional
Bagane, ShivrajPendse, Ameya
Computer vision has evolved from a supportive driver-assistance tool into a core technology for intelligent, non-intrusive occupant health monitoring in modern vehicles. Leveraging deep learning, edge optimization, and adaptive image processing, this work presents a dual-module Driver Health and Wellness Monitoring System that simultaneously performs fatigue detection and emotional wellbeing assessment using existing in-cabin RGB cameras without requiring additional sensors or intrusive wearables. The fatigue module employs MediaPipe-based facial and skeletal landmark analysis to track Eye Aspect Ratio (EAR), Mouth Aspect Ratio (MAR), head posture, and gaze dynamics, detecting early drowsiness and postural deviations. Adaptive, driver-specific thresholds combined with CAN-bus data fusion minimize false positives, achieving over 92% detection accuracy even under variable lighting and demographics. The emotional wellbeing module analyzes micro-expressions and facial action units to
Iqbal, ShoaibImteyaz, Shahma
The durability of wheel bearings is assessed in terms of raceway life and flange life. Raceway life focuses on the performance and damage tolerance of rolling elements, while flange life evaluates the structural integrity of wheel flanges under operational stresses. Traditionally, durability predictions relied on conventional design methods and analytic formulas for raceway spalling, as well as static load assumptions for flange fatigue analysis. Recently, integrating design of experiments (DOE) with traditional approaches has enhanced these methods, enabling systematic evaluation of design variables and loading conditions. This paper introduces a methodology for analyzing raceway life and damage in automotive wheel bearings using RLDA (Road Load Data Acquisition) data. The process involves acquiring raw deterministic load data, filtering it to preserve high-peaked signals, and transforming the filtered data into block cycles derived from load time histories. Each block cycle contains
Narendra, VishwanathMane, YogirajPaua, KetanSingh, Ram KrishnanVellandi, Vikraman
This study focuses on the investigation of wheel rim failures near weld zone during repeated cornering induced by interference between the rim and disc during the wheel manufacturing assembly process. Strain gauges were employed to capture real-time stress and strain distributions at critical zones during interference fitting. The experimental results revealed that improper interference levels lead to significant stress concentrations, often surpassing the material's elastic limit, initiating micro-crack formation and promoting fatigue failure. Detailed strain analysis indicated that both radial and axial stresses contribute to long-term structural degradation. The study highlights the critical role of dimensional tolerances, surface finishes, and assembly forces in minimizing stress-induced failures. Recommendations are provided for optimizing design and assembly practices to enhance the durability and reliability of automotive wheels.
P, PraveenDEsigan, LakshmipathyK, ChandramohanC, Santhosh
A fatigue failure in the transmission input shaft was identified during a bench-level endurance test under 2nd gear loading conditions. The test transmission’s input shaft comprises fixed 1st, reverse, and 2nd gears, with the remaining gears mounted as floating. The shaft was subjected to cyclic torsional loads, and failure occurred after a defined number of cycles. Metallurgical analysis revealed a brittle fracture surface with crack initiation at the outer surface, propagating to core in a helical pattern, ultimately resulting in complete shaft fracture. To monitor and replicate the failure, the test setup was instrumented with a Reilhofer Delta Analyzer for early fault detection. TTL signals from accelerometers mounted on the transmission and a bench speed sensor were fed into the system, which generates FFT spectra and trend indices. A warning alarm triggered upon deviation in the trend index, indicating premature damage initiation. The test was subsequently halted for component
Kushwaha, RakeshPatel, HiralNavale, Pradeep
The first step in designing or analyzing any structure is to understand “right” set of loads. Typically, off-road vehicles have many access doors for service or getting into cab etc. Design of these doors and their latches involve a knowledge of the loads arising when the door is shut which usually involves an impact of varying magnitudes. In scenarios of these impact events, where there is sudden change of velocity within few milliseconds, produces high magnitude of loads on structures. One common way of estimating these loads using hand calculations involves evaluating the rate-of-change-of-momentum. However, this calculation needs “duration of impact”, and it is seldom known/difficult to estimate. Failing to capture duration of impact event will change load magnitudes drastically, e.g. load gets doubled if time-of-impact gets reduced from 0.2 to 0.1 seconds and subsequently fatigue life of the components in “Door-closing-event” gets reduce by ~8 times. For these problems, structures
Valkunde, SangramGhate, AmitGagare, Kiran
Automobile frames, particularly trellis frame structures, are engineered for superior dynamic performance, with stiffness being a paramount consideration1. These frames frequently utilize welded tubes, a manufacturing process made more complex by the necessity of bending tubes to precise angles to meet packaging and assembly requirements2. This bending, however, induces residual stresses that can substantially compromise the frame's durability3. This investigation employs a detailed finite element simulation to analyse the structural deformation and residual stresses that arise during the bending of Cold Electric Welded (CEW) annealed round pipes4. A comprehensive 3D mechanical model, incorporating realistic tooling and contact interactions, was developed to accurately simulate shape change, ovality, and wall thickness redistribution during the bending process5. CEW pipes, unlike their Electric Resistance Welded (ERW) counterparts, possess minimal initial forming stresses, and the
Rajwani, IshwarKhare, Saharash
Thermo-mechanical fatigue (TMF) is a critical durability concern for cylinder heads in internal combustion engines, particularly under severe cyclic thermal and mechanical loads. TMF-induced damage often initiates in geometrically constrained regions with high thermal gradients and can significantly reduce component life. As performance demands increase, understanding and mitigating TMF becomes essential to ensure the structural integrity and long-term reliability of engine components. This study presents a simulation methodology for evaluating thermo-mechanical fatigue (TMF), a temperature-dependent low-cycle fatigue (LCF) mechanism that arises from repeated thermal expansion and contraction under mechanical constraints, leading to cyclic plastic deformation and damage. The methodology consists of two key phases. Phase I involves global finite element (FE) simulations both thermal and structural to obtain temperature and displacement fields under rated and idle engine conditions
Ghotekar, SunilKumbhar, Dipak MadhukarPendse, Ameya
The exceptional strength, formability, and weldability of S550MC steel sheets make them a cornerstone material in the automotive industry. These properties translate into the creation of high-performance automotive components like chassis parts, structural reinforcements, ultimately contributing to enhanced vehicle safety and overall performance. Furthermore, S550MC steel boasts excellent fatigue resistance, a critical factor for ensuring long-term reliability in demanding automotive applications that experience repeated stress cycles. However, optimizing the performance of S550MC components depends on a fine understanding of the critical relationship between hole edge quality and fatigue failure. This study highlights the impact of hole-piercing clearance on the edge quality of the hole in modified fatigue samples manufactured from S550MC steel, and its effect on fatigue life. The surface morphology was characterized by using stereoscope for edge quality of hole piercing operation
Nahalde, SujayHingalje, AbhijeetUghade, VikasSingh, UditaMore, Hemant
This paper presents the design, structural analysis, structural test validation and risk assessment done by Cummins to evaluate the structural integrity of Light Duty engine cylinder head for a Medium Wheelbase (MWB) pick-up truck. Initially, Cummins used the 2.5L and 3.0L (4-cylinder) engines that have standard power ratings based on existing requirements, but rising market demands for more power, fuel efficiency, lower cost and weight, and future emission compliance led to customer requirements for 15% uprate for 2.5L and 22% uprate for 3.0L from the same base engine. The increase in power requirement possesses challenges on critical components, especially cylinder heads in terms of thermal and structural limits. Multiple analysis led design iterations were performed using cutting edge CAE software such as Ansys, Dassault Systems fe-safe, and PTC Creo to ensure the structural integrity of the cylinder head under high thermal and mechanical loads, and to keep design margins within
Pathak, Arun JyotiAdiverekar, VaidehiSingh, RahulBiyani, Mayur
Accurately determining the loads acting on a structure is critical for simulation tasks, especially in fatigue analysis. However, current methods for determining component loads using load cascade techniques and multi-body dynamics (MBD) simulation models have intrinsic accuracy constraints because of approximations and measurement uncertainties. Moreover, constructing precise MBD models is a time-consuming process, resulting in long turnaround times. Consequently, there is a pressing need for a more direct and precise approach to component load estimation that reduces efforts and time while enhancing accuracy. A novel solution has emerged to tackle these requirements by leveraging the structure itself as a load transducer [1]. Previous efforts in this direction faced challenges associated with cross-talk issues, but those obstacles have been overcome with the introduction of the "pseudo-inverse" concept. By combining the pseudo-inverse technique with the D-optimal algorithm
Pratap, RajatApte, Sr., AmolBabar, Ranjit
With the advent of digital displays in driver cabins in commercial vehicles, drivers are being offered many features that convey some useful or critical information to drivers or prompt the driver to act. Due to the availability of a vast number of features, drivers face decision fatigue in choosing the appropriate features. Many are unaware of all available functionalities displayed in the Human Machine Interface (HMI) System, leading to a bare minimum usage or complete neglect of helpful features. This not only affects driving efficiency but also increases cognitive load, especially in complex driving scenarios. To alleviate the fatigue faced by drivers and to reduce the induced lethargy to choose appropriate features, we propose an AI driven recommendation agent/system that helps the driver choose the features. Instead of manually choosing between multiple settings, the driver can simply activate the recommendation mode, allowing the system to optimize selections dynamically. The
K, SunilDhoot, Disha
Quality of the Shear Trimmed edge of HSLA 550 steels is significantly affected by process variations such as Shear Trimming Clearance, trim tolerance, burr height and clamping force. All these parameters largely influence the characteristics of the Shear Affected Zone, a region on sheet metal where it undergoes deformation during the trimming process. The Shear Affected Zone is predominantly vulnerable to failure due to work hardening and the effects of strain rate, induced by the tonnage during the trimming operation. To assess the edge ductility of these materials, Tensile, Fatigue Strength, Die Punch Clearance, Roughness and Hardness Tests are carried out. These tests are crucial for applications that demand high formability and resistance to edge failure. Virtual simulation of edge trimming operation using elastoplastic material models in LS-Dyna have been performed to gain insights into burr formation and damage evolution during shearing. These simulations act as a precursor to
Thota, Badri VishalKashyap, AmitBhuvangiri, Jaydev
Durability validation of full vehicle structures is crucial to ensure long-term performance and structural integrity under real-world loading conditions. Physical test strain and finite element (FE) strain correlation is vital for accurate fatigue damage predictions. During torture track testing of the prototype vehicle, wheel center loads were measured using wheel force transducers (WFTs). In same prototype strain time histories were recorded at critical structural locations using strain gauges. Preliminary FE analysis was carried out to find out critical stress locations, which provided the basis for placement of strain gauges. Measured loads at wheel centers were then used in Multi Body Dynamics (MBD) simulations to calculate the loads at all suspension mount points on BIW. Using the loads at hard points transient analyses were performed to find out structural stress response. Strain outputs from the FE model were compared with physical measurements. Insights gained from these
Jaju, MayurDokhale, SandeepGadre, NileshPatil, Sanjay
This research investigates the dynamic characteristics of an electric two-wheeler chassis through a combined experimental and numerical approach, and understands the contribution of battery towards overall behaviour of the frame in a structural manner. The study commences with the development of a detailed CAD model, which serves as the basis for Finite Element Analysis (FEA) to predict the chassis's natural frequencies and mode shapes. These numerical simulations offer initial insights into the structural vibration behavior crucial for ensuring vehicle stability and rider comfort. To validate the FEA predictions, experimental modal analysis is performed on a physical prototype of the electric two-wheeler chassis using impact hammer excitation. Multiple response measurements are acquired via accelerometers, and the resulting data is processed to extract experimental modal parameters. The correlation between the simulated and experimental mode shapes is quantitatively assessed using the
Das Sharma, AritryaIyer, SiddharthPrasad, SathishAnandh, Sudheep
Addressing the challenge of optimal strain gauge placement on complex structural joints and pipes, this research introduces a novel methodology combining strategic gauge configurations with numerical optimization techniques. Traditional methods often struggle to accurately capture combined loading states and real-world complexities, leading to measurement errors and flawed structural assessments [9]. For intricate joints, a looping strain gauge configuration is proposed to comprehensively capture both bending and torsional effects, preventing the bypassing of applied loads. A calibration technique is used to create strain distribution matrices and access structural behavior under different loading conditions. Optimization algorithms are then applied to identify gauge placements that yield well-conditioned matrices, minimizing measurement errors and enhancing data reliability. This approach offers a cost-effective solution by reducing the number of gauges required for accurate stress
Shingate, UttamYadav, DnyaneshwarDeshpande, Onkar
The high-pressure steering hose in a hydraulic steering system carries pressurized hydraulic fluid from the power steering pump to the steering gear (or steering rack). Its main function is to transmit the force generated by the pump so that the hydraulic pressure assists the driver in turning the wheels more easily. The high-pressure hydraulic pipeline in the power steering system is a vital component for ensuring optimal performance. During warranty analysis, leakage incidents were observed at the customer end within the warranty period. The primary factors contributing to these failures include pipe material thickness, material composition, mechanical properties, and engine-induced vibrations. This study investigates fatigue-related failures through detailed material characterization and Computer-Aided Engineering (CAE) based on real world usage road load data collected. The objective is to identify the root causes by examining the influence of varying pipe thickness on fatigue life
Survade, LalitKoulage, Dasharath BaliramBiswas, Kaushik
The structural integrity and fatigue life of engine connecting rods are critical to ensuring reliability and performance in internal combustion (IC) engines. Traditional Finite Element Analysis (FEA) methods for stress and life prediction are computationally expensive, requiring extensive simulation time for varying loading conditions. This study proposes an Advanced AI-driven approach using Graph Neural Networks (GNNs) which is subset of Geometric deep learning (GDL) to predict stress distribution and fatigue life of a connecting rod based on historical simulation data. The methodology involves training on past high-fidelity FEA results, enabling the model to learn spatial stress patterns and fatigue behavior across different design variations and loading conditions. Unlike traditional models, GNNs effectively captures the geometric and topological dependencies inherent in the connecting rod structure, providing robust predictions with minimal computational overhead. Experimental
Pathan, Mohammed ShakilK, KarthikeyanPilla, SashankaS Kangde, Suhas
Generating a reliable drive file for an electrodynamic (ED) shaker from Road Load Data Acquisition (RLDA) and validating its correlation with real-world conditions through damage and fatigue analysis is crucial for accurate component testing, particularly in complex systems like off-highway exhaust systems. This paper presents a methodology for creating such a drive file and establishing its validity, highlighting the necessity of ED shakers for simulating the intricate dynamic loads experienced by these systems. The process begins with acquiring comprehensive RLDA under representative operational conditions of the off-highway vehicle. Drive files are generated using this data, which records accelerations at important exhaust system mounting locations. Advanced signal processing techniques are employed to condense the raw RLDA into a format suitable for shaker control. To establish proper correlation, the generated drive file is used to excite the exhaust system on an ED shaker
Khaire, Santosh RamdasKhaire, RushikeshYadav, Dnyaneshwar
Modal analysis is performed to determine the natural frequencies and mode shapes of a structure or system. It helps engineers understand how a system vibrates and how external forces, such as mechanical loads, might excite unwanted resonances. To check the stresses due to vibration inputs, certain G levels are assumed, and stresses are scaled to those vibration levels. This gives an understanding of the stresses of components with respect to its EFR limit and design margins are calculated. But, assumed acceleration levels in pre-prototype stage level can over predict or under predict the design margins. A quick modal analysis correlation technique can be used by using test measured accelerations conducted at prototype stage of the program. In this work, a modal analysis correlation technique is used to perform risk assessment of intake manifold. The intake manifold failed due to high vibration levels which were not captured from high cycle fatigue analysis with assumed G-level. In the
Bale, Shrikant BhaskarBawache, Krushna
In today’s market, faster product development without compromising durability is essential. Durability assessment ensures a vehicle maintains structural integrity under normal and extreme conditions. Achieving this requires effective Road Load Data Acquisition, integrated with robust design practices and efficient validation processes. However, physical RLDA is time-consuming and costly, as it depends on prototype vehicles that are often available only in the later development stages. Failures identified during these late-stage tests can delay the product launch significantly. This study presents a full digital methodology of fatigue life estimation for suspension aggregates. A study has been demonstrated on Rear Twist Beam component of rear suspension. The approach integrates the digital RLDA methodology presented in literature and finite element analysis simulation process, enabling durability assessments entirely within the virtual domain. This approach demonstrates how digital RLDA
Kokare, SanjayDwivedi, SushilSiddiqui, ArshadIqbal, Shoaib
This article aims to estimate the high-cycle fatigue (HCF) behavior of a circumferential notched A357-T6 cast aluminum alloy based on the affected depth (AD) approach. This technique is applied as a useful way to anticipate the fatigue life of notched components using the multiaxial fatigue criterion proposed by Crossland. Simulations of the cyclic finite element (FE) calculations in Abaqus involve implementing an elastic–plastic combined Chaboche model. Calculations lead to determining the Kitagawa–Takahashi diagram for this type of defect under the load ratio Rσ = 0.1, showed good agreement with the experimental data. The study provides a clear quantification of the effect of the notch on fatigue resistance. The fatigue limit of the notched specimen decreases by about 16% when the radius of the notch is equal to 3 m. This cast aluminum alloy has revealed a low sensitivity to notches. The notch sensitivity factor (q) was estimated for different defects and conditions, indicating that
Majed, NesrineNasr, AnouarYoussef, Marwa
The development of a high reliability brake disc is fundamental to automobility projects, considering its relevance as a safety component. In competitions such as Formula SAE, there is an increased emphasis on the need to reduce weight, which demands a detailed engineering analysis to minimize mass without compromising safety requirements. This paper proposes a finite element based computational methodology, combining thermal and structural simulations, built upon data collected from bench tests and in-competition courses such as the Autocross (AC) and endurance. The results describe the thermostructural behavior of the brake disc in practical conditions, enabling the determination of the acting tensions during a competitive scenario, and consequently, calculate safety factors and fatigue life of the component. The proposed methodology validates the brake disc resilience and durability, which allows for the study of more optimal geometries or more specific materials, reducing weight
Machado, João Pedro FariasRibeiro, Rodrigo Eustaquio
The mobility electrification process is currently of great interest due to its environmental appeal, but it is accompanied by new technical requirements for vehicle systems, the powertrain being one of those with the most significant trade-offs to be solved. Higher power densities, higher torque efficiency and lower noise and vibration generation are simultaneously required. The literature shows that the manufacturing chain can influence the final state of surface integrity of a part, which affects the operational behavior and service life of a component. Therefore, a customized transmission system design for electric propulsion requires several analyses, from the raw material to the gear manufacturing processes, so that surface integrity plays a significative role in the required performance. From the perspective of their capability to meet the e-mobility requirements in terms of surface integrity is essential to conduct a comparative analysis of gear manufacturing processes. So, the
Gomes, Caio F. S.Gomes, Gilberto M. O.Colombo, Tiago C. A.Rego, Ronnie R.Michelotti, Alvaro C.Berto, Lucas F.
One of the most important components of an electric vehicle is the drive motor. Induction motors are often used for this purpose. During operation of these motors, power loss occurs, especially at high speeds. This power loss corresponds, among other things, to the sum of winding losses, iron core losses and mechanical losses. The power losses generate heat, which causes the temperature in the rotor and stator to rise. The increase in temperature of the components inside the motor can lead to premature wear and fatigue failure. To prevent overheating, the motors are air- or water-cooled. Water cooling can be achieved, for example, by means of jacket cooling. Here, the heat generated is dissipated directly by forced convection. However, the cooling jacket makes it difficult to determine the temperature inside the motor. Determining these temperatures is necessary to protect the motor from premature fatigue. The temperatures inside the motor during operation are of particular interest
Schamberger, StephanieReuss, Hans-Christian
Most of the major machines and structural components are designed for fatigue life and at same time it is important to design structural components for no premature fatigue failure. The performance of major machines and structural components are usually tested in controlled environment but in real life components are subjected to fluctuating loads known as fatigue loads which are common causes of failure. Fatigue cracks are common indicators of potential structural failure, and an early stage of crack initiation phase often goes undetected until noticeable performance degradation or failure to the component occurs resulting in a machine downtime. Early detection of Failure and understanding Remaining Useful Life (RUL) of a component is increasingly more important to customers as it helps in preventive maintenance by timely replacement of a component. This would also result in reducing costs by forecasting time to failure. With recent advancement in science, available data can be
Velayudhan, Vinod KumarISSRANI, MANOJPawar, SanketGoyal, Rakesh
The smart industrial revolution in any organization brings faster product delivery to the market, which can meet customer expectations and full life requirements without failure. Failure per machine (FPM) is a very critical metric for any organization considering warranty cost and customer perception. One such area which needs a detailed evaluation is bolted joints. Bolts play a pivotal role when integrating a subassembly with the main structure. Often, it is challenging to address bolt failure issues due to vibration induced in structures. Current bolt virtual evaluation methods help to evaluate bolts in simple loading conditions such as axial and bending loads. But it is quite complicated to evaluate the bolts which are prone to vibration loading. Traditional methods of using gravity loads miss out on dynamic characteristics, hence it must be simulated using modal dynamic analysis. With the current vADV (virtual accelerated design verification) method it is not possible to capture
Desale, Amit NanajiSingh, GurwinderVhatkar, RushikeshPatil, Akhil
Puddling is a crucial process in rice cultivation, involving the preparation of the soil in a flooded field to create a soft, muddy seedbed. There are two classifications for puddling: full cage and half cage. Full cage puddling involves replacing the rear wheels of the tractor with steel paddle wheels, which are used to till the rice paddies directly without any additional implement. In the half cage puddling, the rear wheels remain on the tractor, and a smaller cage or paddle wheel is attached to the outside. Considering the field size, the operator often releases the clutch very quickly after a speed or direction change. This generates torque spikes, which are harmful to Transmission Gears and Clutches. This can lead to gear teeth bending fatigue failure due to repeated higher bending stresses. In this paper, a study related to how to reduce overall product development time by simulating bending fatigue failure of gear in lab environment is presented. A systematic approach is used
Pathan, Irfan HamidullaBardia, Prashant
Operating tractors on inclined & uneven terrains for prolonged operations presents safety and ergonomic challenges. Applications such as shuttle operations, loader use, or long-duration implement usage prove to be highly critical based on field observations across Mahindra tractor platforms and it requires skill & experience for maneuvering at ease across usage. We identified the need to offload these repeatable tasks from the operator to improve control & offer comfort. This paper explains the role of Advanced drive assistance features developed for Mahindra tractors suited for all prime mover types – ICE, Alternate Fuels including electric. These features include Hill Hold, Electronic parking brake, Cruise control & Creep mode. Each feature is designed to offload frequent manual tasks from the operator and ensure smoother, safer operation. Hill hold and electronic parking brake work in tandem to offer unparalleled safety by eliminating the fear of tractor roll back in uneven terrain
M, RojerSundaram, PavithraNatarajan, SaravananDevakumar, KiranMuniappan, Balakrishnan
The first step in designing or analyzing any structure is to understand “right” set of loads. Typically, off-road vehicles have many access doors for service or getting into cab etc. Design of these doors and their latches involve a knowledge of the loads arising when the door is shut which usually involves an impact of varying magnitudes. In scenarios of these impact events, where there is sudden change of velocity within few milliseconds, produces high magnitude of loads on structures. One common way of estimating these loads using hand calculations involves evaluating the rate-of-change-of-momentum. However, this calculation needs “duration of impact”, and it is seldom known/difficult to estimate. Failing to capture duration of impact event will change load magnitudes drastically, e.g. load gets doubled if time-of-impact gets reduced from 0.2 to 0.1 seconds and subsequently fatigue life of the components in “Door-closing-event” gets reduce by ~7 times. For these problems, structures
Valkunde, SangramGhate, AmitGagare, Kiran
In the fast-paced world of construction, the demand for machine uptime is paramount. Various construction machines play crucial roles in applications such as digging, loading, landscaping, and demolition. One critical component that significantly enhances machine uptime for these operations is the quick coupler. This attachment facilitates rapid tool changes, enabling operators to switch between attachments seamlessly. It also boosts operator ease and reduces fatigue by eliminating frequent interaction between the operator and the attachments. Additionally, the ease of replacing attachments ensures that operators can easily use the correct attachment for specific tasks optimizing overall attachment usage. This paper aims to study the trade-off between breakout force and productivity when using quick couplers. This research assists customers in determining whether to utilize quick couplers based on their specific application requirements. The findings of this study are designed to help
Bhosale, Dhanaji HaridasPARAMESWARAN, SANKARANNarayanan, Arun
This study investigates the failure mechanisms of a press-fitted AISI 304L pulley, which is used to drive an engine coolant variable water pump in automotive applications. The analysis focuses on the peculiar loading scheme of the pulley resulting from the innovative water pump design which combines high mean stress from press fitting with cyclic stress from rotating bending loads that exceed the material's yield point. This is coupled with the cyclic material behavior of AISI 304L which exhibits a strong cyclic hardening. This combination significantly influences the stress distribution and fatigue life of the component under cyclic loads combined with material plasticity, ultimately leading to fatigue failure at the pulley-shaft mating surface. Assembly endurance tests were conducted on a specialized test bench, allowing control of pulley bending load. A comprehensive failure analysis, including visual inspection, metallurgical examination, and finite element analysis (FEA) was
Franceschini, AlessandroSquarcini, RaffaeleRybicki, Gilles
This study focuses on the technology for establishing design criteria for the piston pin circlip (hereinafter referred to as "circlip"), which is a component that holds the engine piston pin. During the development of high-revving engines, failure of the piston sometimes becomes a problem, and the main factors are fatigue failure of the piston and falling of the piston pin. The falling of the piston pin is caused by the circlip disengaging from the groove by the inertial force due to the vertical motion of the piston. The circlip is compressed to the size of the piston circlip groove and assembled to the piston. Therefore, in order to prevent the circlip from falling out, it is necessary to compress it more and increase the reaction force acting on the groove. However, this measure raises concerns about the deterioration of the ease of assembly of the circlip. Therefore, it is necessary to establish evaluation criteria that prevent the circlip from disengaging and deterioration of its
Ishizuka, AtsushiWatanabe, Naoto
The growing demand for lightweight, durable, and high-performance materials in industries such as aerospace, automotive, and energy has driven the development and evaluation of thermoset and thermoplastic composites. Within this framework the static and fatigue mechanical behavior of one thermoset material and two thermoplastic composites are investigated in the (-30° +120°C) temperature range, to simulate extreme environmental conditions. The results from the tensile tests show the different mechanical behavior of the investigated materials, while the cyclic test results highlight the significant impact of temperature on structural properties, offering useful insights for their application in temperature-sensitive environments. This research is partially funded by the Italian Ministry of Enterprises and Made in Italy (MIMIT) within the project ”New Generation of Modular Intelligent Oleo-dynamic Pumps with Axial Flux Electric Motors,” submitted under the ”Accordi per l’Innovazione
Chiocca, AndreaSgamma, MicheleFranceschini, AlessandroVestri, Alessiomancini, SimoneBucchi, FrancescoFrendo, FrancescoSquarcini, Raffaele
Cummins Inc. is an American multinational corporation that designs, manufactures, and distributes engines, filtration, and power generation products. This paper presents an overview of the design, analysis and testing carried out by Cummins to demonstrate the capability of a new structural engine for an agricultural tractor application. In general applications, the powertrain assembly is mounted onto a vehicle chassis via vibration isolators. Due to tight packaging constraints in agricultural tractors, leaving no room for the chassis rails. The engine in conjunction with the transmission and a front axle carrier becomes an integral member of the vehicle chassis. This leads to the engine being directly subjected to the wide range of agricultural tractor application specific loads. Multiple analysis lead design (ALD) iterations were carried out using cutting edge CAE software such as Ansys, Dassault Systems fe-safe, and PTC Creo to ensure all elements of the complex acceptance criteria
Pathak, Arun Jyoti
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