A Data Mining and Optimization Process with Shape and Size Design Variables Consideration for Vehicle Application Chongqing University

Format:

Conference/Event

Author/Creator:

Yang, Yang, author.

Contributor:

Chuang, Ching-Hung

Fang, Yudong

Guo, Gang

Xu, Hongyi

Zhan, Zhenfei

Conference Name:

WCX World Congress Experience (2018-04-10 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource

Place of Publication:

Warrendale, PA SAE International 2018

Summary:

AbstractThis paper presents a design process with data mining technique and advanced optimization strategy. The proposed design method provides insights in three aspects. First, data mining technique is employed for analysis to identify key factors of design variables. Second, relationship between multiple types of size and shape design variables and performance responses can be analyzed. Last but not least, design preference can be initialized based on data analysis to provide priori guidance for the starting design points of optimization algorithm. An exhaust system design problem which largely contributes to the improvement of vehicular Noise, Vibration and Harshness (NVH) performance is employed for the illustration of the process. Two types of design parameters, structural variable (gauge of component) and layout variable (hanger location), are considered in the studied case. The optimization results based on the proposed method are compared with baseline design to show its potential in improving optimization performance regarding both effectiveness and efficiency for real-world engineering design

Notes:

Vendor supplied data

Publisher Number:

2018-01-0584

Access Restriction:

Restricted for use by site license