Modelling of fuzzy inference system for micro milling - a preliminary study through FEM
Ball end milling process is one of the high-precision processes in fabricating spline and curve feature in manufactured components and parts. However, due to its complex geometrical feature, it is suggested to utilize expensive high-end tools to maintain its output accuracy during production due to...
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my.ump.umpir.252262020-02-11T08:26:26Z http://umpir.ump.edu.my/id/eprint/25226/ Modelling of fuzzy inference system for micro milling - a preliminary study through FEM Ainur Munira, Rosli Ahmad Shahir, Jamaludin Mohd Nizar, Mhd Razali Amiril Sahab, Abdul Sani Saiful Bahari, Hamzah Mohd Shahril, Osman TS Manufactures Ball end milling process is one of the high-precision processes in fabricating spline and curve feature in manufactured components and parts. However, due to its complex geometrical feature, it is suggested to utilize expensive high-end tools to maintain its output accuracy during production due to its limited tool life. However, to utilize downscale tools, an online monitoring system is proposed as a method in observing machining process in real time and preventive or diversion action can be taken. The paper is going to discuss on the modelling of analog to fuzzy inference system during the ball end milling process, as a motivation on the application of artificial intelligence into manufacturing sector. In current stage of the study, ideal ball end-milling cutting force output signal is estimated through finite-element simulation and analog to fuzzy inference system is modelled. Parameters such as cutting speed, feed rate and depth of cut are analyzed and it is expected that this method will optimize the application of end milling tool especially high precision micro ball end mill during the machining processes. Universiti Malaysia Pahang 2018 Book Section PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/25226/1/56.1%20Modelling%20of%20fuzzy%20inference%20system%20for%20micro%20milling.pdf pdf en http://umpir.ump.edu.my/id/eprint/25226/7/10.%20Modelling%20of%20fuzzy%20inference%20system%20for%20micro%20milling%20-%20a%20preliminary%20study%20through%20FEM.pdf pdf en http://umpir.ump.edu.my/id/eprint/25226/8/10.1%20Modelling%20of%20fuzzy%20inference%20system%20for%20micro%20milling%20-%20a%20preliminary%20study%20through%20FEM.pdf Ainur Munira, Rosli and Ahmad Shahir, Jamaludin and Mohd Nizar, Mhd Razali and Amiril Sahab, Abdul Sani and Saiful Bahari, Hamzah and Mohd Shahril, Osman (2018) Modelling of fuzzy inference system for micro milling - a preliminary study through FEM. In: Lecture Notes in Mechanical Engineering. Universiti Malaysia Pahang, pp. 445-456. ISBN 978-981-13-8323-6 https://link.springer.com/chapter/10.1007/978-981-13-8323-6_38 https://doi.org/10.1007/978-981-13-8323-6_38 |
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TS Manufactures Ainur Munira, Rosli Ahmad Shahir, Jamaludin Mohd Nizar, Mhd Razali Amiril Sahab, Abdul Sani Saiful Bahari, Hamzah Mohd Shahril, Osman Modelling of fuzzy inference system for micro milling - a preliminary study through FEM |
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Ball end milling process is one of the high-precision processes in fabricating spline and curve feature in manufactured components and parts. However, due to its complex geometrical feature, it is suggested to utilize expensive high-end tools to maintain its output accuracy during production due to its limited tool life. However, to utilize downscale tools, an online monitoring system is proposed as a method in observing machining process in real time and preventive or diversion action can be taken. The paper is going to discuss on the modelling of analog to fuzzy inference system during the ball end milling process, as a motivation on the application of artificial intelligence into manufacturing sector. In current stage of the study, ideal ball end-milling cutting force output signal is estimated through finite-element simulation and analog to fuzzy inference system is modelled. Parameters such as cutting speed, feed rate and depth of cut are analyzed and it is expected that this method will optimize the application of end milling tool especially high precision micro ball end mill during the machining processes. |
format |
Book Section |
author |
Ainur Munira, Rosli Ahmad Shahir, Jamaludin Mohd Nizar, Mhd Razali Amiril Sahab, Abdul Sani Saiful Bahari, Hamzah Mohd Shahril, Osman |
author_facet |
Ainur Munira, Rosli Ahmad Shahir, Jamaludin Mohd Nizar, Mhd Razali Amiril Sahab, Abdul Sani Saiful Bahari, Hamzah Mohd Shahril, Osman |
author_sort |
Ainur Munira, Rosli |
title |
Modelling of fuzzy inference system for micro milling - a preliminary study through FEM |
title_short |
Modelling of fuzzy inference system for micro milling - a preliminary study through FEM |
title_full |
Modelling of fuzzy inference system for micro milling - a preliminary study through FEM |
title_fullStr |
Modelling of fuzzy inference system for micro milling - a preliminary study through FEM |
title_full_unstemmed |
Modelling of fuzzy inference system for micro milling - a preliminary study through FEM |
title_sort |
modelling of fuzzy inference system for micro milling - a preliminary study through fem |
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Universiti Malaysia Pahang |
publishDate |
2018 |
url |
http://umpir.ump.edu.my/id/eprint/25226/1/56.1%20Modelling%20of%20fuzzy%20inference%20system%20for%20micro%20milling.pdf http://umpir.ump.edu.my/id/eprint/25226/7/10.%20Modelling%20of%20fuzzy%20inference%20system%20for%20micro%20milling%20-%20a%20preliminary%20study%20through%20FEM.pdf http://umpir.ump.edu.my/id/eprint/25226/8/10.1%20Modelling%20of%20fuzzy%20inference%20system%20for%20micro%20milling%20-%20a%20preliminary%20study%20through%20FEM.pdf http://umpir.ump.edu.my/id/eprint/25226/ https://link.springer.com/chapter/10.1007/978-981-13-8323-6_38 https://doi.org/10.1007/978-981-13-8323-6_38 |
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