Mamdani-Fuzzy Modeling Approach for Quality Prediction of Non-Linear Laser Lathing Process
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 d...
Main Authors: | , , , , |
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Format: | Conference or Workshop Item |
Language: | English |
Published: |
IOP Publishing
2018
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Subjects: | |
Online Access: | http://umpir.ump.edu.my/id/eprint/20958/ http://umpir.ump.edu.my/id/eprint/20958/ http://umpir.ump.edu.my/id/eprint/20958/1/Mamdani-Fuzzy%20Modeling%20Approach%20for%20Quality-fkm-2017.pdf |
Summary: | 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. |
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