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A digital modeling framework for the motorcycle industry with advanced computer design.

Authors :
Wang, Ping
Tan, Xiufeng
Wang, Guanqin
Li, Jianghong
Su, Qiang
Shen, Changqun
Zhang, Youxiang
Source :
Soft Computing - A Fusion of Foundations, Methodologies & Applications. Sep2021, Vol. 25 Issue 18, p12465-12476. 12p.
Publication Year :
2021

Abstract

A digital modeling framework for motorcycles (DMF) involves applying advanced computer design, computer-assisted analysis, and computer-assisted development. Data processing technology simulated prototype product, fast prototype technology, standard technology, etc. It is an interdisciplinary, systematic technology in the entire process of product design, production, and manufacture. DMF solves single-model production and constrained capacity building to satisfy the industry's demand for individual and diverse motorcycle goods. DMF sets forward several approaches within it, including parametric technologies for design, technology dependent on experience, design application, and data integration trends. The DMF provides the basis for a synthesis of motorcycles' production and demand. The result illustrates that digital concept strategies and approaches can be used in the motorcycle industry in reality with the highest efficiency (97.32%), emission rate (25.16%), speed rate (95.23%), exhaust rate (41.32%), heat loss rate (6.18%), performance metrics rate (9.32%), and error rate (5.44%), compared to other popular methods. For the 100 motorcycles, the average charging capacity, speed, distance traveled, and implementation cost ratio are observed at 97.11%, 85–100 km/h, 80–100 km, and 9.32%, respectively. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14327643
Volume :
25
Issue :
18
Database :
Academic Search Index
Journal :
Soft Computing - A Fusion of Foundations, Methodologies & Applications
Publication Type :
Academic Journal
Accession number :
151962217
Full Text :
https://doi.org/10.1007/s00500-021-05966-0