Sivaraos, . and A. Z., Khalim and M. S., Salleh and D., Sivakumar and K., Kadirgama (2018) Mamdani-Fuzzy Modeling Approach for Quality Prediction of Non-Linear Laser Lathing Process. In: IOP Conference Series: Materials Science and Engineering, Malaysian Technical Universities Conference on Engineering and Technology 2017 (MUCET 2017) , 6-7 December 2017 , Penang, Malaysia. pp. 1-9., 318 (012067). ISSN 1757-899X
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Abstract
Lathing is a process to fashioning stock materials into desired cylindrical shapes which usually performed by traditional lathe machine. But, the recent rapid advancements in engineering materials and precision demand gives a great challenge to the traditional method. The main drawback of conventional lathe is its mechanical contact which brings to the undesirable tool wear, heat affected zone, finishing, and dimensional accuracy especially taper quality in machining of stock with high length to diameter ratio. Therefore, a novel approach has been devised to investigate in transforming a 2D flatbed CO2 laser cutting machine into 3D laser lathing capability as an alternative solution. Three significant design parameters were selected for this experiment, namely cutting speed, spinning speed, and depth of cut. Total of 24 experiments were performed with eight (8) sequential runs where they were then replicated three (3) times. The experimental results were then used to establish Mamdani - Fuzzy predictive model where it yields the accuracy of more than 95%. Thus, the proposed Mamdani-Fuzzy modeling approach is found very much suitable and practical for quality prediction of non-linear laser lathing process for cylindrical stocks of 10mm diameter.
| Item Type: | Conference or Workshop Item (Lecture) |
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| Additional Information: | Index by Scopus |
| Uncontrolled Keywords: | Lathing; Mamdani-Fuzzy; non-linear laser; machining |
| Subjects: | T Technology > TJ Mechanical engineering and machinery |
| Faculty/Division: | Faculty of Mechanical Engineering |
| Depositing User: | Noorul Farina Arifin |
| Date Deposited: | 04 Apr 2018 01:35 |
| Last Modified: | 01 Oct 2018 07:15 |
| URI: | http://umpir.ump.edu.my/id/eprint/20958 |
| Download Statistic: | View Download Statistics |
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