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Device and corresponding method for selecting machinability data with artificial intelligence machinability

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 Author: Wong, Shaw Voon
Format: Patent
Published: 2003
Online Access:http://psasir.upm.edu.my/id/eprint/34071/
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spelling my.upm.eprints.340712015-04-28T10:47:56Z http://psasir.upm.edu.my/id/eprint/34071/ Device and corresponding method for selecting machinability data with artificial intelligence machinability Wong, Shaw Voon 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 input 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. 2003-01-01 Patent NonPeerReviewed Wong Shaw Voon (2003) Device and corresponding method for selecting machinability data with artificial intelligence machinability. 10/713,017.
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 input 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
spellingShingle Wong, Shaw Voon
Device and corresponding method for selecting machinability data with artificial intelligence machinability
author_facet Wong, Shaw Voon
author_sort Wong, Shaw Voon
title Device and corresponding method for selecting machinability data with artificial intelligence machinability
title_short Device and corresponding method for selecting machinability data with artificial intelligence machinability
title_full Device and corresponding method for selecting machinability data with artificial intelligence machinability
title_fullStr Device and corresponding method for selecting machinability data with artificial intelligence machinability
title_full_unstemmed Device and corresponding method for selecting machinability data with artificial intelligence machinability
title_sort device and corresponding method for selecting machinability data with artificial intelligence machinability
publishDate 2003
url http://psasir.upm.edu.my/id/eprint/34071/
_version_ 1643831049593028608
score 13.211869

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