Artificial intelligence device and corresponding methods for selecting machinability data.

The present invention describes a device incorporating artificial intelligence and corresponding methods for recommending an optimal machinability data selection. The device comprises of a first component, which feeds the system with necessary input. A second component which is the main processing u...

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Main Authors: Wong, Shaw Voon, Hamouda, Abdel Magid S.
Format: Patent
Published: 2010
Online Access:http://psasir.upm.edu.my/id/eprint/20880/
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spelling my.upm.eprints.208802015-04-28T12:14:52Z http://psasir.upm.edu.my/id/eprint/20880/ Artificial intelligence device and corresponding methods for selecting machinability data. Wong, Shaw Voon Hamouda, Abdel Magid S. The present invention describes a device incorporating artificial intelligence and corresponding methods for recommending an optimal machinability data selection. The device comprises of a first component, which feeds the system with necessary input. A second component which is the main processing unit, acts as an inference engine to predict the outputs. The last component interprets the outputs, conveys the processed outputs to target location and converts them into necessary task. The inputs are identified as the machining operation, work piece material, machining tool type, and depth of cut. The outputs are the machining parameters, comprising of the optimal cutting speed and feed rate. The inference engine can be established with fuzzy logic, neural network of fuzzy-neural network. 2010-03-15 Patent NonPeerReviewed Wong Shaw Voon (2010) Artificial intelligence device and corresponding methods for selecting machinability data. PI20024308.
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
description The present invention describes a device incorporating artificial intelligence and corresponding methods for recommending an optimal machinability data selection. The device comprises of a first component, which feeds the system with necessary input. A second component which is the main processing unit, acts as an inference engine to predict the outputs. The last component interprets the outputs, conveys the processed outputs to target location and converts them into necessary task. The inputs are identified as the machining operation, work piece material, machining tool type, and depth of cut. The outputs are the machining parameters, comprising of the optimal cutting speed and feed rate. The inference engine can be established with fuzzy logic, neural network of fuzzy-neural network.
format Patent
author Wong, Shaw Voon
Hamouda, Abdel Magid S.
spellingShingle Wong, Shaw Voon
Hamouda, Abdel Magid S.
Artificial intelligence device and corresponding methods for selecting machinability data.
author_facet Wong, Shaw Voon
Hamouda, Abdel Magid S.
author_sort Wong, Shaw Voon
title Artificial intelligence device and corresponding methods for selecting machinability data.
title_short Artificial intelligence device and corresponding methods for selecting machinability data.
title_full Artificial intelligence device and corresponding methods for selecting machinability data.
title_fullStr Artificial intelligence device and corresponding methods for selecting machinability data.
title_full_unstemmed Artificial intelligence device and corresponding methods for selecting machinability data.
title_sort artificial intelligence device and corresponding methods for selecting machinability data.
publishDate 2010
url http://psasir.upm.edu.my/id/eprint/20880/
_version_ 1643827415092297728
score 13.18916