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/20958/1/Mamdani-Fuzzy%20Modeling%20Approach%20for%20Quality-fkm-2017.pdf |
| _version_ | 1825812045499465728 |
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| author | Sivaraos, . A. Z., Khalim M. S., Salleh D., Sivakumar K., Kadirgama |
| author_facet | Sivaraos, . A. Z., Khalim M. S., Salleh D., Sivakumar K., Kadirgama |
| author_sort | Sivaraos, . |
| collection | UMP |
| description | 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. |
| first_indexed | 2024-03-06T12:23:20Z |
| format | Conference or Workshop Item |
| id | UMPir20958 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T12:23:20Z |
| publishDate | 2018 |
| publisher | IOP Publishing |
| record_format | dspace |
| spelling | UMPir209582018-10-01T07:15:34Z http://umpir.ump.edu.my/id/eprint/20958/ Mamdani-Fuzzy Modeling Approach for Quality Prediction of Non-Linear Laser Lathing Process Sivaraos, . A. Z., Khalim M. S., Salleh D., Sivakumar K., Kadirgama TJ Mechanical engineering and machinery 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. IOP Publishing 2018 Conference or Workshop Item PeerReviewed application/pdf en cc_by http://umpir.ump.edu.my/id/eprint/20958/1/Mamdani-Fuzzy%20Modeling%20Approach%20for%20Quality-fkm-2017.pdf 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 (Published) https://doi.org/10.1088/1757-899X/318/1/012067 |
| spellingShingle | TJ Mechanical engineering and machinery Sivaraos, . A. Z., Khalim M. S., Salleh D., Sivakumar K., Kadirgama Mamdani-Fuzzy Modeling Approach for Quality Prediction of Non-Linear Laser Lathing Process |
| title | Mamdani-Fuzzy Modeling Approach for Quality Prediction of Non-Linear Laser Lathing Process |
| title_full | Mamdani-Fuzzy Modeling Approach for Quality Prediction of Non-Linear Laser Lathing Process |
| title_fullStr | Mamdani-Fuzzy Modeling Approach for Quality Prediction of Non-Linear Laser Lathing Process |
| title_full_unstemmed | Mamdani-Fuzzy Modeling Approach for Quality Prediction of Non-Linear Laser Lathing Process |
| title_short | Mamdani-Fuzzy Modeling Approach for Quality Prediction of Non-Linear Laser Lathing Process |
| title_sort | mamdani fuzzy modeling approach for quality prediction of non linear laser lathing process |
| topic | TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/20958/1/Mamdani-Fuzzy%20Modeling%20Approach%20for%20Quality-fkm-2017.pdf |
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