|
QICID: 20221
Title: A New Method in Selective Assembly to Minimize Clearance Variation for a Radial Assembly Using Genetic Algorithm
Copyright: 2005, ASQ and Taylor & Francis Inc.
Author: Kannan, S.M.; Asha, A.; Jayabalan, V.
Organization: Thiagarajar College of Engineering, Madurai, South India; K.L.N. College of Engineering, Pottapalayam, South India; Anna University, Chennai, South India
Subject: Algorithm,Assembly line methods,Manufacturing,Tolerance,Variation;
Series: Quality Engineering, Vol. 17, No. 4, October 2005, pp. 595-607
This ARTICLE is available for FREE
to ASQ members
with the appropriate membership type and/or magazine subscriptions. If you are signed-in you should be able to download articles you are entitled to receive. If you have questions about your membership please contact Customer Care at 800-248-1946 or help@asq.org
Abstract: [This abstract is based on the authors' abstract.]Selective assembly is a method of obtaining high-precision assemblies from relatively low-precision components. However, the dimensional distributions of the mating parts are not the same and will result in surplus parts. A new approach to selective assembly is proposed that uses genetic algorithm to find the best combination of the selective groups for minimizing the clearance variation. The approach is illustrated with a case of hole and shaft assembly that is done in three stages in order to use all components.
Number of pages: 13
Price for ASQ Members: $5.00
Price for List/Forum/Division: $10.00
All electronic articles are sent as PDFs via e-mail. To view the documents, you will need Adobe
Reader (free download).
Orders placed during business hours are usually filled within one business day.
If you have questions please e-mail our Customer Care center at help@asq.org.
Browse QIC articles chronologically
previous next
|
