Paper Title:
Evolutionary Design Optimization on Automated Mechanical Transmission of Automobile
  Abstract

Automotive transmission is one of the key components of automotive, and the design quality of transmission can affect the driving performance, fuel consumption and serve life of vehicle greatly, therefore it is very important to design planetary transmission of vehicle. Genetic algorithm can seek parallelized different regions of the whole parameter space in the progress of its replacement, and make a progress towards being possible to find optimum global solution. The planetary transmission is designed by the minimum volume of objective optimization, and considering loading property and material quality, the constraints are set up. Combination of genetic algorithm and SQP is adopted to solve optimization model. So the AMT have a more compact structure. and vehicle passing performance can be improved and vehicle equipment mass be reduced.

  Info
Periodical
Advanced Materials Research (Volumes 156-157)
Edited by
Jingtao Han, Zhengyi Jiang and Sihai Jiao
Pages
562-565
DOI
10.4028/www.scientific.net/AMR.156-157.562
Citation
J. B. Ding, "Evolutionary Design Optimization on Automated Mechanical Transmission of Automobile", Advanced Materials Research, Vols. 156-157, pp. 562-565, 2011
Online since
October 2010
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Shu Ling Qiao, Zhi Jun Han
Abstract:In this paper, determinate beam and indeterminate beam with multiple span are optimized by using genetic algorithm, the mathematic model of...
2365
Authors: Wei Hua Fang
Chapter 6: Applied Mechanics
Abstract:In order to obtain geotechnical engineering material mechanical parameters correctly by using back analysis and overcome shortcoming of...
1647
Authors: Si Lian Xie, Tie Bin Wu, Shui Ping Wu, Yun Lian Liu
Chapter 18: Computer Applications in Industry and Engineering
Abstract:Evolutionary algorithms are amongst the best known methods of solving difficult constrained optimization problems, for which traditional...
2846
Authors: Jian Xue Chen, Shui Yu
Chapter 4: Mechatronics and Automation Manufacturing Systems, Control Technologies
Abstract:Combining ant colony optimization (ACO) algorithm with back-propagation (BP) algorithm, the ACO-BP algorithm is proposed to optimize shift...
553
Authors: Hai Yan Wang
Chapter 6: Production Management
Abstract:This paper presents a hybrid algorithm to address the flexible job-shop scheduling problem (FJSP). Based on Differential Evolution (DE), a...
502