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     Research Journal of Applied Sciences, Engineering and Technology


PCB Assembly Process Optimization based on Constraint Model

Xuan Du, Yi Zhang and Lili Sun
College of Mechanical and Material Engineering of China Three Gorges University, Yichang 443002, China
Research Journal of Applied Sciences, Engineering and Technology  2014  1:105-110
http://dx.doi.org/10.19026/rjaset.7.227  |  © The Author(s) 2014
Received: January 29, 2013  |  Accepted: March 08, 2013  |  Published: January 01, 2014

Abstract

The structure and assembly process of Chip Shooter (CS) machine are studied. The factors of engineering practice such as the component size and machine structure etc. are considered. The assembly optimization model of Printed Circuit Board (PCB) on CS machine is formulated. A hybrid genetic algorithm (HGA) which combine with Polychromatic Sets (PS) and Genetic Algorithm (GA) is presented. A binary piece-wise coding method is proposed. In the individual chromosome, feeder arrangement and component placement sequence is described simultaneously. Constraint model is used to consider the impact of component size on the assembly speed and the feeder arrangement of CS machine. Meanwhile the constraint model improved the quality of initial population, ensured the effectiveness of GA operation and narrowed the search space of GA obviously. Calculation example indicated that HGA optimize the component sequence and feeder arrangement simultaneously and achieve excellent practicability. The assembly efficiency of CS machine is improved obviously.

Keywords:

Constraint model, chip shooter machine, PCB assembly optimization, polychromatic sets,


References

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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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