The use of automobile lightweight is an effective measure to reduce energy consumption and vehicle emissions. The utilization of high-performance composite materials is an important way to achieve lightweight vehicles technically. The advantages of using thermoplastic composite wheels are: easy to form, high manufacturing efficiency, low cost and easy to recycle. This leads to broader application prospects. Taking composite anisotropy into consideration, the mechanical performance of a wheel made of long glass fiber reinforced thermoplastic (LGFT), is analysed using the finite element method (FEM). This is done by placing the wheel under a bending fatigue load simulation. According to the simulation results, the sample database is established by orthogonal experimental method on the Isight platform, and the approximate model is established by the Response Surface Methodology (RSM). Based on this model, uncertainty optimization analysis is then conducted on the wheel’s design using Sigma Principle whereby the optimization target is the mass minimization. The maximum deformation of the wheel and the stress on both sides of the spoke will serve as constraint conditions and the key dimension parameters of the wheel model will be taken as the design variables. The uncertainty optimization is based on the Sigma criterion, taking into consideration the wheel’s geometry and property-fluctuation materials. The feasibility of design schemes is then verified after comparison analysis between the optimization results and the simulation results obtained. The result shows that compared with deterministic optimization, though the weight of the wheel has slightly increased, the uncertainty optimization based on the Sigma criterion is much more robust and the reliabilities of the three constraints are all above 6 Sigma. The resulting optimized LGFT wheel weighs 5.28kg, which has a 5.5% more loss in weight than the initial target and is also 25.6% lighter than the counterpart wheel which is made of aluminum alloy. The desired design results is now achieved with this lightweight effect.
Skip Nav Destination
ASME 2018 International Mechanical Engineering Congress and Exposition
November 9–15, 2018
Pittsburgh, Pennsylvania, USA
Conference Sponsors:
- ASME
ISBN:
978-0-7918-5218-7
PROCEEDINGS PAPER
Uncertainty Optimization Design of Vehicle Wheel Made of Long Glass Fiber Reinforced Thermoplastic
Yingchun Shan,
Yingchun Shan
Beihang University, Beijing, China
Search for other works by this author on:
Xiandong Liu,
Xiandong Liu
Beihang University, Beijing, China
Search for other works by this author on:
Weihao Chai,
Weihao Chai
Beihang University, Beijing, China
Search for other works by this author on:
Xiaoyin Wang
Xiaoyin Wang
Pan Asia Technical Automotive Center Co., Ltd., Shanghai, China
Search for other works by this author on:
Daijun Hu
Beihang University, Beijing, China
Yingchun Shan
Beihang University, Beijing, China
Xiandong Liu
Beihang University, Beijing, China
Weihao Chai
Beihang University, Beijing, China
Xiaoyin Wang
Pan Asia Technical Automotive Center Co., Ltd., Shanghai, China
Paper No:
IMECE2018-86769, V013T05A062; 8 pages
Published Online:
January 15, 2019
Citation
Hu, D, Shan, Y, Liu, X, Chai, W, & Wang, X. "Uncertainty Optimization Design of Vehicle Wheel Made of Long Glass Fiber Reinforced Thermoplastic." Proceedings of the ASME 2018 International Mechanical Engineering Congress and Exposition. Volume 13: Design, Reliability, Safety, and Risk. Pittsburgh, Pennsylvania, USA. November 9–15, 2018. V013T05A062. ASME. https://doi.org/10.1115/IMECE2018-86769
Download citation file:
25
Views
0
Citations
Related Proceedings Papers
Related Articles
An Investigation of the Formability of Long Fiber Thermoplastic Composite Sheets
J. Eng. Mater. Technol (January,1995)
Metamodeling Development for Vehicle Frontal Impact
Simulation
J. Mech. Des (September,2005)
Numerical Analysis of Deep Drawing Process for Thermoplastic Composite Laminates
J. Eng. Mater. Technol (July,1997)
Related Chapters
Introduction and Definitions
Handbook on Stiffness & Damping in Mechanical Design
Overview
Energy, Technology, and the Environment
Understanding the Problem
Design and Application of the Worm Gear