DocumentCode
299932
Title
An algorithmic approach to the improvement of efficiency for surface mounting machines
Author
Hong, Jce-Min ; Lee, Sung-Han ; Kim, Dae-Won ; Lee, Bum-Hee ; Kim, Jung-Duk ; Kim, Jae-Ok
Author_Institution
Dept. of Control & Inst. Eng., Myongli Univ., Japan
Volume
1
fYear
1995
fDate
21-27 May 1995
Firstpage
806
Abstract
With rapid development of the surface mounting technology (SMT), continual efforts have been made to make the surface mounting machines efficient as well as reliable. The authors propose an algorithmic approach to the improvement of efficiency for surface mounting machines. For minimizing the set-up time, a CAD data conversion algorithm, which makes the data for the pick-and-place sequences from the CADSTAR output files, is proposed. Also, for optimizing the feeder arrangement and the traveling path of heads in the surface mounting machine, SCM 130 model, effective feeder arrangement algorithms are proposed. To evaluate their performance, the proposed algorithms are tested on the assembly tasks of PCBs manufactured through simulations. As a result, it is shown that the proposed algorithm reduces the time required to perform the assembly sequences by maximum 9 percent when the task time is compared with the time required to perform the assembly sequences made by an expert
Keywords
CAD/CAM; assembling; printed circuit manufacture; surface mount technology; travelling salesman problems; CAD data conversion algorithm; CADSTAR; PCBs; SCM 130 model; SMT; algorithmic approach; assembly tasks; efficiency improvement; feeder arrangement; pick-and-place sequences; set-up time minimisation; surface mounting machines; Aerospace industry; Assembly; Computer aided manufacturing; Data conversion; Electronic equipment manufacture; Heuristic algorithms; Magnetic heads; Surface-mount technology; Testing; Throughput;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation, 1995. Proceedings., 1995 IEEE International Conference on
Conference_Location
Nagoya
ISSN
1050-4729
Print_ISBN
0-7803-1965-6
Type
conf
DOI
10.1109/ROBOT.1995.525382
Filename
525382
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