A Neural Network Approach to Predicting Car Tyre Micro-Scale and Macro-Scale Behaviour

• 作者: Mohammad Behroozi Oluremi A. Olatunbosun Xiaoguang Yang
• 来源期刊: 智能学习系统与应用(英文)
• 学科: 医学
• 关键词: Design Parameters Finite Element MODELLING NEURAL Network TYRE CONFIGURATION
• 年，卷（期）: 2014,（1）
• 页码范围: 11-20
• 页数: 10页
• 分类号: R73

摘要

Finite Element (FE) analysis has become the favoured tool in the tyre industry for virtual development of tyres because of the ability to represent the detailed lay-up of the tyre carcass. However, application of FE analysis in tyre design and development is still very time-consuming and expensive. Here, the application of various Artificial Neural Network (ANN) architectures to predicting tyre performance is assessed to select the most effective and efficient architecture, to allow extensive parametric studies to be carried out inexpensively and to optimise tyre design before a much more expensive full FE analysis is used to confirm the predicted performance.