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Liu, X, Zhang, Q and Chen, X Modelling Centrifugal Disc Finishing Process Using the Fuzzy Rule-Based Method. In: The 25th International Symposium on Advances in Abrasive Technology Conference Proceedings . (The 25th International Symposium on Advances in Abrasive Technology, 10th Dec - 13th Dec 2023, Taichung, Taiwan). (Accepted)
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Abstract
Mass Finishing (MF) is a mechanical process extensively utilized to achieve the desired surface finish on a considerable volume of small parts or small batches of parts with complex geometrical feature. The adoption of MF technology is increasing as it meets the growing requirements for surface finish and quality, particularly in critical operations for super-finishing components in biomedical, auto-sport and aerospace engineering. However, understanding how to effectively modify or refine operations to achieve desirable outcomes for diverse parts and target criteria remains a challenge. This challenge stems from the considerable numbers of process variables that necessitate control, encompassing abrasive media type, processing time, workpiece materials and machine speed. In this paper, a feasible study has been conducted to optimize surface finishing processes on a centrifugal machine. A fuzzy rule-based system has been proposed, which involves defining the input and output parameters, creating fuzzy sets and membership functions, and defining rules that describe the relationship between the input and output parameters. The fuzzy logic model is implemented through the utilization of MATLAB software. The results indicate the effectiveness of the proposed method in modelling surface finishing processes and achieving consistent outcomes.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Divisions: | Engineering |
| Publisher: | ISAAT |
| SWORD Depositor: | A Symplectic |
| Date Deposited: | 07 Mar 2025 14:20 |
| Last Modified: | 07 Mar 2025 14:20 |
| URI: | https://researchonline.ljmu.ac.uk/id/eprint/25632 |
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