Optimization Design of Modular Desktop Micro-Assembly System Based on Genetic Algorithm

Xiao Feng Zhang; Zhi Jing Zhang; Zhi Peng Ye; Yan Li; Xin Jin

doi:10.4028/www.scientific.net/AMM.427-429.1337

Paper Titles

Stability of Discrete-Time Switched Linear Systems with Saturation Arithmetic
p.1319

Discusses on the Application and Development Prospect of Mechanical Automation Technology
p.1324

Research Based on State Monitoring of CNC Machine Tools Intelligent Security System
p.1328

Design and Realization of Tracking Autopilot for Leisure Yacht
p.1333

Optimization Design of Modular Desktop Micro-Assembly System Based on Genetic Algorithm
p.1337

The Research of Magnetic Track Brake System
p.1342

Development of a Vehicle Dynamics Control System for Four In-Wheel Motor EV
p.1346

Reliability Analysis of the Electric Hydraulic Power Steering Controller Based on Fault Tree Method
p.1350

A Low Power Consumption and Energy Saving Solution Applied in Network Management
p.1356

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429Optimization Design of Modular Desktop...

Optimization Design of Modular Desktop Micro-Assembly System Based on Genetic Algorithm

Abstract:

For solving the problem of non-silicon MEMS assembly, the framework of Modular Desktop Micro Assembly System (MDMAS) is proposed, the fundamental principles and functional modular partition method of which is described in this paper. Based on it, the structure-capability correlation matrix and structure autocorrelation matrix are established, and the multi-objective optimization design model is constructed. In addition, GA (genetic algorithm) is introduced for best solution searching, and the proposed design method is validated

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

1337-1341

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.1337

Citation:

Cite this paper

Online since:

September 2013

Authors:

Xiao Feng Zhang*, Zhi Jing Zhang, Zhi Peng Ye, Yan Li, Xin Jin

Keywords:

Desktop Micro-Assembly, Genetic Algorithm (GA), Modularization, Optimization Design

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] X. Ye, Zh.J. Zhang and Q. Wang: Reconfigurable 12-DOF Micro-Assembly Technology and Its Realization [J]. Transactions of Beijing Institute of Technology, Vol. 29 (2009) No. 9, p.775, In Chinese.

Google Scholar

[2] Ehmann K F, DeVor R E, Ni J, et al. Micro/Meso-Mechanical Manufacturing[C]/Workshop on. 2000, 1000: 4.

Google Scholar

[3] Gu P, Hashemian M, Nee A Y C. Adaptable design [J]. CIRP Annals-Manufacturing Technology, 2004, 53(2): 539-557.

DOI: 10.1016/s0007-8506(07)60028-6

Google Scholar

[4] Q. Wang, Zh. J Zhang and X. Ye: The Position Adjustment and Error Analysis of Detection Prism Mechanism for Micro-Assembly System [J]. Transactions of Beijing Institute of Technology, Vol. 31 (2011) No. 8, p.896, In Chinese.

Google Scholar

[5] Y. L Jia. Modular Design[M]. China Machine Press, 1993, 1-23.

Google Scholar

[6] X. P Wang,L. M Cao. Genetic Algorithm: Theory, Application and software implementation [M]. XI'AN JIAOTONG UNIVERSITY PRESS, (2002).

Google Scholar