Coil baking process modeling with neural network

Coil baking process is one of the critical processes in a case study company which is a manufacturer of hard disk drive actuator in Thailand. At the moment, the company is dealing with quality issue arisen from the distortion of the baked coil. Parameters affect the baking process are for example ba...

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Main Author: Laosiritaworn,W.S.
Format: Conference or Workshop Item
Published: 2015
Online Access:http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84903851576&origin=inward
http://cmuir.cmu.ac.th/handle/6653943832/39041
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Institution: Chiang Mai University
id th-cmuir.6653943832-39041
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spelling th-cmuir.6653943832-390412015-06-16T08:01:19Z Coil baking process modeling with neural network Laosiritaworn,W.S. Coil baking process is one of the critical processes in a case study company which is a manufacturer of hard disk drive actuator in Thailand. At the moment, the company is dealing with quality issue arisen from the distortion of the baked coil. Parameters affect the baking process are for example baking temperature, baking time, air ventilation pressure and position in the oven. Neural network technique was used to model the relationship between the mentioned factors and the distortion of the coil. The trained network can be used to predict coil distortion before the production occurs. Therefore, helps to reduce the defect rate. © 2012 IEEE. 2015-06-16T08:01:19Z 2015-06-16T08:01:19Z 2012-01-01 Conference Paper 21573611 2-s2.0-84903851576 10.1109/IEEM.2012.6838028 http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84903851576&origin=inward http://cmuir.cmu.ac.th/handle/6653943832/39041
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
description Coil baking process is one of the critical processes in a case study company which is a manufacturer of hard disk drive actuator in Thailand. At the moment, the company is dealing with quality issue arisen from the distortion of the baked coil. Parameters affect the baking process are for example baking temperature, baking time, air ventilation pressure and position in the oven. Neural network technique was used to model the relationship between the mentioned factors and the distortion of the coil. The trained network can be used to predict coil distortion before the production occurs. Therefore, helps to reduce the defect rate. © 2012 IEEE.
format Conference or Workshop Item
author Laosiritaworn,W.S.
spellingShingle Laosiritaworn,W.S.
Coil baking process modeling with neural network
author_facet Laosiritaworn,W.S.
author_sort Laosiritaworn,W.S.
title Coil baking process modeling with neural network
title_short Coil baking process modeling with neural network
title_full Coil baking process modeling with neural network
title_fullStr Coil baking process modeling with neural network
title_full_unstemmed Coil baking process modeling with neural network
title_sort coil baking process modeling with neural network
publishDate 2015
url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84903851576&origin=inward
http://cmuir.cmu.ac.th/handle/6653943832/39041
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