Abstract
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Article Information:
PCB Assembly Process Optimization based on Constraint Model
Xuan Du, Yi Zhang and Lili Sun
Corresponding Author: Xuan Du
Submitted: January 29, 2013
Accepted: March 08, 2013
Published: January 01, 2014 |
Abstract:
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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.
Key words: Constraint model, chip shooter machine, PCB assembly optimization, polychromatic sets, , ,
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Cite this Reference:
Xuan Du, Yi Zhang and Lili Sun, . PCB Assembly Process Optimization based on Constraint Model. Research Journal of Applied Sciences, Engineering and Technology, (1): 105-110.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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