Browse Topic: Finite element analysis

Items (3,546)
This study primarily focuses on quasi-static mechanical modeling and dynamic flow modeling of the brake vacuum booster used in a typical four-wheeled passenger vehicles, under brake apply condition. Vacuum Booster is a key component of brake actuation system whose primary function is to multiply the force received from brake pedal. A hybrid methodology consisting of FEA and 1D simulation of the vacuum booster has been constructed in this study by accommodating its compliance. The brake vacuum booster consists of two chambers, namely vacuum and apply chamber; the force multiplication in vacuum booster occurs because of pressure difference between these two chambers. The hybrid methodology not only captures its flow dynamics but also accommodates the structural interaction that happens between the ratio disc (rigid body) and the reaction disc (hyperelastic body) with the help of finite element analysis, which is the novel part of this project. The result from finite element analysis is
Iyengar, Sharan YoganandMani Saravanan, C.Gopalan, Seshadri
Oil consumption is a major concern for all engine manufacturers, both from an environmental and engine durability standpoint. Understanding how oil consumption is affected by key design parameters has traditionally been established during the validation phase of an engine development program using both steady-state and transient lube oil consumption (LOC) measurements. Cost and time pressures are driving this development to be performed virtually, where many more parameters can be assessed and understood prior to design verification testing. This paper presents a new analytical method that is capable of predicting transient phenomena of the ring pack that would not normally be captured by steady-state methods, providing a toolset that reduces engine development testing and cost and aid troubleshooting. Implemented in Realis1 RINGPAK, this new transient method has been validated against transient LOC measurements for a 2.0 L 4-cylinder GTDI engine. Different transient load/speed
Bell, DavidZhang, ShashaShen, CongTisch, DanBrezina, MichalHuang, Yun
Current studies about battery pack bottom strike usually focus on one test condition individually. To study the relation between quasi-static and dynamic crush in battery pack bottom strike, the paper combined quasi-static crush result and dynamic strike preset kinetic energy value with the same displacement damage on the battery pack bottom plate and cell. First, based on the finite element model of the battery pack, the quasi-static crush is applied. Several dynamic crush tests with different initial kinetic energy sets are also introduced. Then based on the same displacement damage, the pressure in quasi-static and kinetic energy in dynamic conditions are summarized. Fitting methods including polynomial regression, support vector regression (SVR), extreme learning machine (ELM), multilayer perceptron (MLP), Gaussian process regression (GPR), and K-nearest neighbor (KNN) regression are used to study the relation between the two different test load. The result shows that they have a
Tang, HongxiWang, ShengweiZhou, KaiLiu, Jinyu
In the current scenario of EV revolution in the automotive industry, NVH performance of the vehicles is one of the major points of sale to the customers. Auxiliary components play one of the predominant roles in the contribution of noise to overall vehicle interior or exterior sound pressure levels, which impact customer vehicle comfort. CAE prediction of NVH performance of automotive components involves a lot of design iterative processes, large server space utilization, and time-consuming. To reduce cost and time, data-driven technologies like AI algorithms can help CAE engineers because of their high efficiency and high precision. In the current research, a wiper motor mount stiffness prediction algorithm was designed based on the historical data using CAE analysis and AI algorithms, and improved prediction accuracy by tuning the parameters of AI algorithms using grid search methodology. High prediction accuracy of wiper motor mount stiffness has been achieved with the method of
Paturi, Yuva Venkata Sekhar
The Electrohydraulic Brake Valve (EBV) is a vital component in full-power brake systems for heavy-duty and off-highway vehicles, providing precise hydraulic pressure modulation through electrical control. Traditionally, EBV housings are manufactured using bar-machined components, which offer durability but contribute significantly to the overall weight and cost of the assembly. In response to increasing demands for lightweight and cost-effective solutions, this study presents a targeted design optimization of the EBV housing. The redesigned housing adopts a casting-based geometry, integrates sensor ports for pressure monitoring, and includes a nameplate mounting provision for customer identification. Material substitution and structural simplification were employed to enhance manufacturability and performance. Finite Element Analysis (FEA) was used to validate the mechanical integrity of the new design under operational conditions. The optimized EBV assembly achieved a weight reduction
R, Thangarajan
This study presents a comparative investigation of the vibration characteristics of rectangular and circular plates with fixed edges using analytical, numerical, and computational approaches. Analytical models based on classical plate theory were employed to calculate natural frequencies and mode shapes, while finite element analysis (FEA) was performed in a CAE tool to provide high-fidelity simulation results. A detailed mesh convergence study confirmed numerical stability, with frequency variations below 1% between successive refinements. Analytical predictions showed excellent agreement with simulation results for lower modes, with errors as low as 0.25% for the rectangular plate and 2.65% for the circular plate. However, higher modes exhibited significant deviations, with errors reaching up to 29.01% for rectangular and 181.52% for circular geometries, highlighting the limitations of closed-form solutions in capturing complex vibrational behavior. Python-based computational tools
N, SuhasR, SanjayBhaskara Rao, Lokavarapu
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
In the context of electro-mobility for commercial vehicles, the failure analysis of a connector panel in a DCDC converter is crucial, particularly regarding crack initiation at the interface of busbar and plastic component. This analysis requires a thorough understanding of thermo-mechanical behavior under thermal cyclic loads, necessitating kinematic hardening material modeling to account for the Bauschinger effect. As low cycle fatigue (LCF) test data is not available for glass fiber reinforced polyamide based thermoplastic composite (PA66GF), we have adopted a novel approach of determining non-linear Chaboche Non-Linear Kinematic Hardening (NLK) model parameters from monotonic uniaxial temperature dependent tensile test data of PA66GF. In this proposed work a detailed discussion has been presented on manual calibration and Genetic Algorithm (GA) based optimization of Chaboche parameters. Due to lack of fiber orientation dependent test data for PA66GF, here von Mises yield criteria
Basu, ParichaySrinivasappa, Naveen
Window glass is a component of the side door assembly of cars. It provides a clear vision for passengers and outsiders. It functions as a temporary opening and ventilation system for the car. It is a part of a car’s aesthetics; it adds stiffness to the door and protects the occupants from different weather conditions. The objectives of this study were to understand the effect of fully and partially opened or closed window glass on the dynamic behaviors of door assemblies and to develop a process to assess these dynamic behaviors. An assessment methodology was developed to determine the effects of various window glass positions on the dynamic behavior of the door assembly. An authenticated finite element (FE) model was used to complete this investigation. The finite element model of the door assembly was validated by correlating the modal frequencies with their corresponding mode shapes. The correlated FE model with the window glass fully closed was called the baseline (W0), and eight
Jadhav, Pandurang MarutiWaghulde, Kishor B.Bhortake, Rupesh V.
Objective: Previous studies have reported disparity in injuries between male and female drivers in the risk of certain types of injuries in frontal crashes that may be due to a myriad of sex-related differences, including body size, shape, anatomy, or sitting posture. The objectives of this study are 1) to use mesh-morphing methods to generate a diverse set of human body models (HBMs) representing a wide range of body sizes and shapes for both sexes, 2) conduct population-based frontal crash simulations, and 3) explore adaptive restraint design strategies that may lead to enhanced safety for the whole population while mitigating potential differences in injury risks between male and female drivers Method: A total of 200 HBMs with a wide range of body sizes and shapes were generated by morphing the THUMS v4.1 midsize male model into geometries predicted by the statistical human geometry models. Ten male and ten female HBMs were selected for population-based simulations. An existing
Sun, WenboHu, JingwenLin, Yang-ShenBoyle, KyleReed, MatthewSun, ZhaonanHallman, Jason
This study explores the application of reverse engineering (RE) and digital twin (DT) technology in the design and optimization of advanced powertrain systems. Traditional approaches to powertrain development often rely on legacy designs with limited adaptability to modern efficiency and emission standards. In this work, we present a methodology combining 3D scanning, computational modeling, and machine learning to reconstruct, analyze, and enhance internal combustion engines (ICEs) and electric vehicle (EV) drivetrains. By digitizing physical components through RE, we generate high-fidelity DT models that enable virtual testing, performance prediction, and iterative improvement without costly physical prototyping. Key innovations include a novel mesh refinement technique for scanned geometries and a hybrid simulation framework integrating finite element analysis (FEA) and multi-body dynamics (MBD). Our case study demonstrates a 12% increase in thermal efficiency for a retrofitted ICE
Bernikov, Mark AlexandrovichKurmaev, Rinat
Multi-link rigid axle suspension is widely used as a rear suspension system for body-on-frame SUVs. The upper link in a multi link rear suspension plays a critical role in managing the vertical and longitudinal positioning of the axle, while the lower link ensures stability by regulating the axle's movement in the horizontal plane. This coordinated functionality of upper and lower link allows for controlled axle dynamics during compression and rebound, significantly enhancing ride comfort and improving vehicle handling characteristics. This study examines the failure of an upper link mounting bracket on the rear axle of an SUV during off-road events, despite no failures observed in other durability tests. Root cause analysis is conducted on failed samples to determine the specific reasons for failure only in off-road conditions. Additionally, the investigation focuses on understanding the dynamic loads experienced by the upper link during vehicle operation across various durability
J, AkhilSenthil Raja, TGhumare, DheerajChilakala, RaghavendraKundan, LalMohapatra, Durga Prasad
This study focuses on improving the durability of steel wheel rims subjected to Multiple Pothole which is commonly found in Indian village roads — a critical scenario affecting vehicle safety and wheel lifespan. Initial steel wheel designs often face significant deformation or failure under repeated strikes and resulting in tyre air loss due to wheel bend, prompting the need for enhanced performance standards. In this research, a combination of finite element modelling, experimental impact testing, and material optimization strategies were employed to assess and improve the structural integrity of steel rims. Key parameters such as rim profile geometry & material composition were systematically varied to evaluate their influence on impact resistance. Results demonstrate that strategic design modifications and material enhancements can significantly increase the rim's ability to absorb energy and resist bending without substantial weight penalties. The findings offer practical
DEsigan, LakshmipathyP, PraveenK, ChandramohanC, Santhosh
The rapid advancement of electric vehicle (EV) technology has created a demand for reliable and Thermal - efficient electronic components for power electronics and control systems on printed circuit boards (PCBs). The research looks at the overall simulation and study of a PCB for Electric Vehicles, including how it handles heat, stress, and reliability in real working conditions like considering casing (Heat Sink) in which PCB is held, into the simulation. We have used numerical based methods (reliability), Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD) methods to simulate heat performance looking at steady-state and changing load profiles common in EV powertrains. We ran structural and thermal simulations to check the PCB's toughness against heat expansion and shaking loads often seen in cars. We also did a reliability check looking at heat cycling life for PCB components, and possible ways it could break to guess long-term toughness. The results show critical
Kanbarkar, Suraj OmanaDeore, UdayPatil, NishikantNayak, Shibabrata
Frontal crash structures play a vital role in occupant safety, but traditional designs often involve a trade-off between structural strength and weight efficiency. In the pursuit of safer and more sustainable mobility, this study explores a physics-based methodology that leverages the principle of dynamic equilibrium to guide the integration of dissimilar materials in front-end vehicle structures. Specifically, examined a novel configuration wherein aluminum High-pressure die cast (single HPDC part) is introduced which covers swan neck region as well as the base of the front longitudinal member, while retaining steel in the frontal crush zone. This arrangement aims to redistribute crash loads and control deformation mechanisms, enabling improved energy absorption without compromising structural integrity. To evaluate the proposed strategy, a series of detailed finite element simulations were conducted using LS-DYNA, a widely adopted tool for vehicle crash analysis. The results reveal
Revanth, GoshikaBhagat, MilindJoshi, VikasMankhair, AbhijitSudarshan, B.SudarshanKollipara, Jahanavi
Connected tail lamps have emerged as one of the key features of modern automotive design. It aligns with current vehicle trends, giving a premium, hi-tech appearance and enhancing visibility for the drivers. (Original Equipment Manufacturers) OEM manufacturer utilizes connected tail lamps as a signature design element to establish and reinforce their brand identity. Assembly and integration of these components poses unique challenges due to Metal-to-plastic interfaces that generate audible noise such as squeak & rattle [1] and affect it affects the perceived quality of an occupant in electric vehicles (EVs). The misalignment of parts concerning geometric dimensioning and tolerancing (GD&T) specifications is addressed, as it contributes to increased micro-sliding between the interface and creates audible creaking sounds. This paper explores the influence of mounting fitment on noise generation and proposes a method to optimize the assembly process to reduce the stick-slip [2
Michael Stephan, Navin Estac RajaC M, MITHUNMohammed, RiyazuddinR, Prasath
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