A Fuzzy Logic-Based Prediction Model for Kerf Width in Laser Beam Machining.
Saved in:
| Title: | A Fuzzy Logic-Based Prediction Model for Kerf Width in Laser Beam Machining. |
|---|---|
| Authors: | Hossain, Anamul1 (AUTHOR), Hossain, Altab1 (AUTHOR) altab75@um.edu.my, Nukman, Y.1,2 (AUTHOR), Hassan, M. A.1,2 (AUTHOR), Harizam, M. Z.1 (AUTHOR), Sifullah, A. M.1 (AUTHOR), Parandoush, P.1 (AUTHOR) |
| Source: | Materials & Manufacturing Processes. 2016, Vol. 31 Issue 5, p679-684. 6p. |
| Subjects: | Fuzzy logic, Laser beam cutting, Carbon fiber-reinforced plastics, Prediction models, Polymethylmethacrylate |
| Abstract: | In laser beam machining, the main concern is the machining quality as kerf width of the end product. It is essential for industrial applications to cut the workpiece with minimum kerf width. However, it is difficult to develop a precise functional relationship between input and output variables in laser machining. Therefore, an effort has been conducted to build up an intelligent fuzzy expert system (FES) model to predict the kerf width in CO2laser cutting. The employed input parameters were assisting gas pressure, laser power, cutting speed, and standoff distance. The fuzzy logic was performed on fuzzy toolbox in MATLAB R2009b by employing Mamdani technique. In total, 81 experiments were carried out and experimental results were used for training and testing of the developed fuzzy model. Relative error and goodness of fit were used to investigate the accuracy of the prediction ability and the values of 3.852% and 0.994, respectively, were found to be satisfactory. This paper will extend knowledge about the prediction of kerf width by using FES model. [ABSTRACT FROM PUBLISHER] |
| Copyright of Materials & Manufacturing Processes is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| Abstract: | In laser beam machining, the main concern is the machining quality as kerf width of the end product. It is essential for industrial applications to cut the workpiece with minimum kerf width. However, it is difficult to develop a precise functional relationship between input and output variables in laser machining. Therefore, an effort has been conducted to build up an intelligent fuzzy expert system (FES) model to predict the kerf width in CO2laser cutting. The employed input parameters were assisting gas pressure, laser power, cutting speed, and standoff distance. The fuzzy logic was performed on fuzzy toolbox in MATLAB R2009b by employing Mamdani technique. In total, 81 experiments were carried out and experimental results were used for training and testing of the developed fuzzy model. Relative error and goodness of fit were used to investigate the accuracy of the prediction ability and the values of 3.852% and 0.994, respectively, were found to be satisfactory. This paper will extend knowledge about the prediction of kerf width by using FES model. [ABSTRACT FROM PUBLISHER] |
|---|---|
| ISSN: | 10426914 |
| DOI: | 10.1080/10426914.2015.1037901 |
