A neural network based approach to 5-axis tool-path length estimationfor optimal multi-cutter selection

10.3722/cadaps.2011.301-313

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Main Authors: Geng, L., Zhang, Y.F., H Fuh, J.Y.
Other Authors: MECHANICAL ENGINEERING
Format: Article
Published: 2014
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Online Access:http://scholarbank.nus.edu.sg/handle/10635/51301
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-513012024-11-08T18:20:08Z A neural network based approach to 5-axis tool-path length estimationfor optimal multi-cutter selection Geng, L. Zhang, Y.F. H Fuh, J.Y. MECHANICAL ENGINEERING Five-axis machining Multi-cutter selection Neural network Tool-path length 10.3722/cadaps.2011.301-313 Computer-Aided Design and Applications 8 2 301-313 2014-04-24T09:30:10Z 2014-04-24T09:30:10Z 2011 Article Geng, L.,Zhang, Y.F.,H Fuh, J.Y. (2011). A neural network based approach to 5-axis tool-path length estimationfor optimal multi-cutter selection. Computer-Aided Design and Applications 8 (2) : 301-313. ScholarBank@NUS Repository. <a href="https://doi.org/10.3722/cadaps.2011.301-313" target="_blank">https://doi.org/10.3722/cadaps.2011.301-313</a> 16864360 http://scholarbank.nus.edu.sg/handle/10635/51301 NOT_IN_WOS Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Five-axis machining
Multi-cutter selection
Neural network
Tool-path length
spellingShingle Five-axis machining
Multi-cutter selection
Neural network
Tool-path length
Geng, L.
Zhang, Y.F.
H Fuh, J.Y.
A neural network based approach to 5-axis tool-path length estimationfor optimal multi-cutter selection
description 10.3722/cadaps.2011.301-313
author2 MECHANICAL ENGINEERING
author_facet MECHANICAL ENGINEERING
Geng, L.
Zhang, Y.F.
H Fuh, J.Y.
format Article
author Geng, L.
Zhang, Y.F.
H Fuh, J.Y.
author_sort Geng, L.
title A neural network based approach to 5-axis tool-path length estimationfor optimal multi-cutter selection
title_short A neural network based approach to 5-axis tool-path length estimationfor optimal multi-cutter selection
title_full A neural network based approach to 5-axis tool-path length estimationfor optimal multi-cutter selection
title_fullStr A neural network based approach to 5-axis tool-path length estimationfor optimal multi-cutter selection
title_full_unstemmed A neural network based approach to 5-axis tool-path length estimationfor optimal multi-cutter selection
title_sort neural network based approach to 5-axis tool-path length estimationfor optimal multi-cutter selection
publishDate 2014
url http://scholarbank.nus.edu.sg/handle/10635/51301
_version_ 1821202349150961664