FE design analysis and optimization of heavy-duty truck chassis using sparse grid initialization technique

被引:1
|
作者
Agarwal, A. [1 ]
Mthembu, L. [1 ]
机构
[1] Univ South Africa, Dept Mech Engn, Pretoria, South Africa
关键词
HMV chassis; Equivalent stress (ES); Cross member (CM); Composite; Steel; STRESS-ANALYSIS; CROSS-SECTION;
D O I
10.1016/j.matpr.2022.01.471
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Automotive chassis acts as the base of a vehicle providing necessary strength and support to the various body parts subjected to different loading. Investigation of the stresses and other design constraints of a heavy motor vehicle chassis (HMVC) before manufacturing is quite significant especially when the automotive industry experiencing a high demand of light weight material and economic chassis. The present study comprises a static structure analysis followed by the optimization of a ladder type HMV (truck) chassis using MMC material Unidrectional Aluminium P100/6061 Al MMC with a primary objective to investigate the applications of MMC in the mass reduction of the HMV chassis. Finite Element (FE) analysis is performed on ANSYS 18.1 software using sparse grid initialization optimization scheme of response surface method. The actual mass of chassis with conventional material (St52E) is 214.64 Kg while mass of chassis using Metal matrix composite P100/6061 Al material is 67.922 Kg; hence the mass decrease acquired by sparse grid initialization optimization is approximately 68.4% utilizing MMC material. Thus, the usage of metal matrix composites material for chassis can significantly reduce weight of chassis. Copyright (c) 2022 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Conference on Latest Developments in Materials & Manufacturing.
引用
收藏
页码:2084 / 2092
页数:9
相关论文
共 50 条
  • [31] Optimization for fuel consumption and TCO of a heavy-duty truck with electricity-propelled trailer
    Zhang, Junbo
    Han, Zhiyu
    Liu, Kangjie
    Zhao, Yi
    ENERGY, 2024, 312
  • [32] Simulation Optimization of an Industrial Heavy-Duty Truck Based on Fluid-Structure Coupling
    Song, Xinyu
    Cao, Fang
    Rao, Weifeng
    Huang, Peiwen
    SUSTAINABILITY, 2022, 14 (21)
  • [33] Heavy-duty truck battery failure prognostics using random survival forests
    Voronov, Sergii
    Jung, Daniel
    Frisk, Erik
    IFAC PAPERSONLINE, 2016, 49 (11): : 562 - 569
  • [34] Performance Analysis of Volumetric Expanders in Heavy-Duty Truck Waste Heat Recovery
    Thantla, Sandhya
    Fridh, Jens
    Erlandsson, Anders Christiansen
    Aspfors, Jonas
    SAE Technical Papers, 2019, (December):
  • [35] Finite Element Analysis of Heavy-Duty Dump Truck Subframe Based on ANSYS
    Li, Haigang
    Si, Jingping
    Han, Lu
    Zhang, Baowei
    ADVANCED MANUFACTURING SYSTEMS, PTS 1-3, 2011, 201-203 : 518 - 523
  • [36] Stress analysis of an air tube bracket on a heavy-duty commercial vehicle's chassis
    Yayla, Pasa
    Ates, Burak
    Yabar, Ozan Berke
    INTERNATIONAL JOURNAL OF HEAVY VEHICLE SYSTEMS, 2023, 30 (01) : 17 - 35
  • [37] Analysis of power split vibration absorber performance in heavy-duty truck powertrains
    Wramner, Lina
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 2020, 234 (10-11) : 2509 - 2521
  • [38] Energy consumption analysis of heavy-duty vehicles for transient emissions evaluation on chassis dynamometer
    Wang, WG
    Lyons, DW
    Clark, NN
    Luo, JD
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING, 1999, 213 (D3) : 205 - 214
  • [39] Failure analysis and improvement of a 42CrMo crankshaft for a heavy-duty truck
    Wang, Yanping
    Luo, Yucheng
    Mo, Qiuyun
    Huang, Bin
    Wang, Siyuan
    Mao, Xiaofeng
    Zhou, Lei
    ENGINEERING FAILURE ANALYSIS, 2023, 153
  • [40] Sensitivity analysis and optimisation of independent axle suspensions for a heavy-duty mining truck
    Kang, Yiting
    Rakheja, Subhash
    Zhang, Wenming
    INTERNATIONAL JOURNAL OF HEAVY VEHICLE SYSTEMS, 2016, 23 (04) : 370 - 397