Numerical Modelling and Multi Objective Optimization Analysis of Heavy Vehicle Chassis

Agarwal, Abhishek; Mthembu, L.

doi:10.3390/pr9112028

Cited by 16 publications

(5 citation statements)

References 17 publications

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“…A sparse matrix solver is used to perform the simulation after the loads and boundary conditions have been established. This is carried out in order to eliminate the sequential step that organizes equations at each iteration and to reuse the same matrix structure throughout the simulation [18]. The There are matrices created for every element.…”

Section: Methodsmentioning

confidence: 99%

Optimization and analysis of chassis for heavy electric truck under different condition

Yash Parihar,

OM Prakash Shukla,

Jaydeep Shah

2024

World J. Adv. Eng. Technol. Sci.

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The design of heavy electric truck chassis is a critical aspect of developing sustainable and efficient transportation solutions. Heavy electric trucks, which are powered by electric motors and rely on large battery packs for energy storage. the structural integrity and strength of the chassis are of utmost importance. the integration of the battery pack into the chassis is a critical consideration. The chassis needs to accommodate the size, weight, and distribution of the battery pack while ensuring proper thermal management and protection. the unique challenges posed by these vehicles. By considering factors such as structural integrity, battery integration, lightweight materials, and other relevant design considerations, it is possible to develop efficient and sustainable heavy electric trucks that meet the demands of modern transportation.

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Section: Methodsmentioning

confidence: 99%

Optimization and analysis of chassis for heavy electric truck under different condition

Yash Parihar,

OM Prakash Shukla,

Jaydeep Shah

2024

World J. Adv. Eng. Technol. Sci.

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“…The solution stage involves element matrix formulations, assemblage of global stiffness elements followed by inversions and multiplications [21]. The final stage is post processing which involves viewing and editing of results where the chassis specifications were obtained from [17].…”

Section: Methodsmentioning

confidence: 99%

“…The aim of present paper is to perform a structural analysis of a heavy motor vehicle chassis & optimize it using different optimization methods to reduce the weight using Reinforced Aluminium-Matrix Composites Al6092/SiC/17.5p MMC. The appropriate data of an existing heavy duty truck chassis of TATA company's model number 1612 (material used St52 E=2.10 x 10 5 N / mm 2 ) as a simply supported beam with overhang ladder frame is taken for design and analysis with Side bar of the chassis made from 'C' Channels having dimensions 116mm x 25mm x 5 mm [17]. Total load acting on the chassis is 257022N [17].…”

Section: Introductionmentioning

confidence: 99%

“…The appropriate data of an existing heavy duty truck chassis of TATA company's model number 1612 (material used St52 E=2.10 x 10 5 N / mm 2 ) as a simply supported beam with overhang ladder frame is taken for design and analysis with Side bar of the chassis made from 'C' Channels having dimensions 116mm x 25mm x 5 mm [17]. Total load acting on the chassis is 257022N [17]. The CAD modeling and FE simulation is conducted using ANSYS software.…”

Section: Introductionmentioning

confidence: 99%

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Modelling and FE Simulation of HVC Using Multi Objective Response Surface Optimization Techniques

Agarwal¹,

Mthembu²

2021

RCMA

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The purpose of an automotive chassis is to maintain the shape of the vehicle and bear the various loads that are applied to the vehicle. The structure typically accounts for a large portion of the development and production costs of the new vehicle program, and the designer has many different structural concepts available. Choosing the best is important to ensure acceptable structural performance under other design constraints, such as cost, volume and method of production, product application, and more. The material selection for chassis depends upon various factors like lightness, economy, safety, recyclability, and circulation of life. The current study aims to perform optimization of the design of a heavy vehicle chassis using central composite design & optimal space fill design scheme (s) with the material tested is Al6092/SiC/17.5p MMC. Different design points are generated using design of experiments. The equivalent stress, deformation and mass are evaluated for each design points. The CAD modelling and FE simulation of heavy motor vehicle chassis is conducted using ANSYS software. From the optimization conducted on chassis design, response surface plots of equivalent stress, deformation and mass are generated which enabled to determine the range of dimensions for which these parameters are maximum or minimum. The use of Discontinuously Reinforced Aluminium-Matrix Composites Al6092/SiC/17.5p MMC aided to reduce weight of chassis by 66.25% and 66.68% by using CCD and Optimal space fill design scheme respectively, without much reduction in strength of chassis.

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“…Aiming at the problem of TM1314 American trailers axle (referred to as axle) being overweight, first, parametric model of the axles is established and finite element analysis is carried out in this paper based on multiconstraints. Second, the Pareto optimal solution set of the multiobjective optimization of the axle was obtained through the MOGA, which is suitably used to solve the system reliability and multiobjective problems (Wang et al , 2022; Xie et al , 2011; Li et al , 2021; Agarwal and Mthembu, 2021). Finally, the specimens were trial-produced to carry out bench verification tests, which showed that the weight was reduced on the premise of not decreasing the original mechanical performance requirements and design standards.…”

Section: Introductionmentioning

confidence: 99%

Toward structure optimization for the mobile vehicle system based on multiconstraints

Zhao

Sun

et al. 2023

RIA

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Purpose Vehicle lightweight design has positive implications for reducing energy consumption and abating greenhouse gas emissions. The traditional trailer axle design mainly focuses on the overall performance of the trailer axle. Only when the local performance does not meet the requirements will local performance optimization be done, such as local heat treatment to improve local strength. Such a design results in an uneven distribution of axle performance and excess performance in some local structures. The purpose of this study is to investigate the weight reduction on the premise of ensuring the structural dimensions of the outer surface of the axle remain unchanged and the reliability of the axle. Design/methodology/approach The axle is parameterized by computer aided design, and the optimized axle finite element model based on computer aided engineering is established and verified by taking the eight dimensions of the axle cavity structure which affect the performance as parameters. A genetic algorithm is used to optimize the axle cavity structure size and axle weight based on multiobjective optimization, and eight optimized size parameters of axle cavity structure are obtained. Findings The total weight of the optimized axle of TM1314 is reduced by 10.2 kg, and the weight reduction ratio reaches 10.7%. According to the optimized structural size of the axle, the specimen was trial-manufactured, and the bench tests of stiffness, strength and fatigue life were carried out according to the test requirements of the trailer axle standard (JT/T 475-2002). The test results show that the maximum deformation of the specimen is 2.46 mm, the strength safety factor of the specimen body and the steel plate spring seat are 6.71 and 6.86 and bear the alternating load more than 1.05 × 106 times, which meets the standard of the trailer axle and is better than the original design requirements of the trailer axle. Originality/value In this study, the multiobjective optimization model of the axle is established, the response surface is constructed by the Latin hypercube sampling design method and the optimal solution set is obtained by the multiobjective genetic algorithm. It has been verified by bench tests that it can achieve a weight reduction of 10.7% under the premise of the same structure and size of the outer surface of the axle. The lightweight method based on multiobjective optimization proposed in this paper can provide a reference for the lightweight design of other key vehicle components.

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Numerical Modelling and Multi Objective Optimization Analysis of Heavy Vehicle Chassis

Cited by 16 publications

References 17 publications

Optimization and analysis of chassis for heavy electric truck under different condition

Optimization and analysis of chassis for heavy electric truck under different condition

Modelling and FE Simulation of HVC Using Multi Objective Response Surface Optimization Techniques

Toward structure optimization for the mobile vehicle system based on multiconstraints

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