Prediction of surface roughness and material removal rate in laser assisted turning of aluminium oxide using fuzzy logic
Author:
Publisher
Elsevier BV
Subject
General Medicine
Reference13 articles.
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1. Comparative Analysis of RSM, ANN and ANFIS Techniques in Optimization of Process Parameters in Laser Assisted Turning of NITINOL Shape Memory Alloy;Lasers in Manufacturing and Materials Processing;2024-02-16
2. Comparative analysis of RSM, ANN and ANFIS techniques in optimization of process parameters in laser assisted turning of NITINOL Shape memory alloy;2023-07-18
3. Fuzzy Logic-Based Model for Predicting Material Removal Rate of Machined Cupola Slag-Reinforced Aluminum Metal Matrix Composite;Springer Proceedings in Materials;2023
4. Material Removal Rate Prediction for Sapphire Double-Sided CMP Based on RSM-SVM;ECS Journal of Solid State Science and Technology;2022-08-01
5. Effect of fiber orientation on surface characteristics of C/SiC composites by laser-assisted machining;Ceramics International;2022-03
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