Development of Man-Machine Interface using Matlab: an adaptive network-based fuzzy inference system modeling for laser machining

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.

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Main Authors:	Sivarao, Rizal, M.S., Tajul, A., Taufik
Other Authors:	sivarao@live.utem.edu.my
Format:	Working Paper
Language:	English
Published:	Universiti Malaysia Perlis 2009
Subjects:	Laser Machining Man-Machine Interface Human-machine systems Adaptive Network-based Fuzzy Inference System (ANFIS) Human-machine systems > Design and construction
Online Access:	http://dspace.unimap.edu.my/xmlui/handle/123456789/7388
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Institution:	Universiti Malaysia Perlis
Language:	English

id	my.unimap-7388
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spelling	my.unimap-73882010-01-18T07:50:43Z Development of Man-Machine Interface using Matlab: an adaptive network-based fuzzy inference system modeling for laser machining Sivarao Rizal, M.S. Tajul, A. Taufik sivarao@live.utem.edu.my Laser Machining Man-Machine Interface Human-machine systems Adaptive Network-based Fuzzy Inference System (ANFIS) Human-machine systems -- Design and construction Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia. Development of GUI on MATLAB environment is rarely carried out by researchers especially for controlling complex and non-linear machining processes. Hence, it becomes more complicated and time consuming for one to explore artificial intelligent tools to model a process using MATLAB due to unfamiliarity and phobia of programming. In this paper, how GUI is developed and integrated to model laser machining process using Adaptive Network-based Fuzzy Inference System (ANFIS) together with GUI’s ability in generating the model output is presented. Laser cutting machine is widely known for having the most number of controllable parameters among the advanced machine tools and it becomes more difficult for the process to be engineered into desired responses such as surface roughness and kerf width to achieve precision machining conditions. Knowing both laser processing and ANFIS programming are difficult and being fear of modelers, a novel GUI is developed and used as an interface to model laser processing using ANFIS with various setting capabilities where, numeric and graphical output can be printed. On the other hand, the GUI can also be used to predict the responses to conduct comparative analysis. To validate the accuracy of the ANFIS modeling, the error is calculated through Root Mean Square Error (RMSE) and Average Percentage Error. The RMSE values are compared with various type of trained variables and settings on ANFIS platform, so that the best ANFIS model can be finalized before prediction. The developed GUI can be used in industry of laser machining for an operator to optimize the best machine setting before the machine is operated. Thus, the industry could reduce the production cost and down time by off-hand setting as compared to the traditional way of trial and error method. 2009-12-09T08:10:09Z 2009-12-09T08:10:09Z 2009-10-11 Working Paper p.4B5 1 - 4B5 8 http://hdl.handle.net/123456789/7388 en Proceedings of the International Conference on Man-Machine Systems (ICoMMS 2009) Universiti Malaysia Perlis
institution	Universiti Malaysia Perlis
building	UniMAP Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Perlis
content_source	UniMAP Library Digital Repository
url_provider	http://dspace.unimap.edu.my/
language	English
topic	Laser Machining Man-Machine Interface Human-machine systems Adaptive Network-based Fuzzy Inference System (ANFIS) Human-machine systems -- Design and construction
spellingShingle	Laser Machining Man-Machine Interface Human-machine systems Adaptive Network-based Fuzzy Inference System (ANFIS) Human-machine systems -- Design and construction Sivarao Rizal, M.S. Tajul, A. Taufik Development of Man-Machine Interface using Matlab: an adaptive network-based fuzzy inference system modeling for laser machining
description	Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.
author2	sivarao@live.utem.edu.my
author_facet	sivarao@live.utem.edu.my Sivarao Rizal, M.S. Tajul, A. Taufik
format	Working Paper
author	Sivarao Rizal, M.S. Tajul, A. Taufik
author_sort	Sivarao
title	Development of Man-Machine Interface using Matlab: an adaptive network-based fuzzy inference system modeling for laser machining
title_short	Development of Man-Machine Interface using Matlab: an adaptive network-based fuzzy inference system modeling for laser machining
title_full	Development of Man-Machine Interface using Matlab: an adaptive network-based fuzzy inference system modeling for laser machining
title_fullStr	Development of Man-Machine Interface using Matlab: an adaptive network-based fuzzy inference system modeling for laser machining
title_full_unstemmed	Development of Man-Machine Interface using Matlab: an adaptive network-based fuzzy inference system modeling for laser machining
title_sort	development of man-machine interface using matlab: an adaptive network-based fuzzy inference system modeling for laser machining
publisher	Universiti Malaysia Perlis
publishDate	2009
url	http://dspace.unimap.edu.my/xmlui/handle/123456789/7388
_version_	1643788789616738304

Development of Man-Machine Interface using Matlab: an adaptive network-based fuzzy inference system modeling for laser machining

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