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Prediction of Surface Roughness in Turning Using Adaptive Neuro-Fuzzy Inference System
Adaptive Neuro-Fuzzy Surface Roughness Prediction Turning
2010/1/15
Due to the extensive use of highly automated machine tools in the industry, manufacturing requires reliable models for the prediction of output performance of machining processes. The prediction of su...
Comparison of Regression and Artificial Neural Network Models for Surface Roughness Prediction with the Cutting Parameters in CNC Turning
Regression Artificial Neural Network Models Surface Roughness Prediction Cutting Parameters CNC Turning
2009/9/4
Surface roughness, an indicator of surface quality, is one of the most specified customer requirements in machining of parts. In this study, the experimental results corresponding to the effects of di...
Optimization of Surface Roughness in End Milling on Mould Aluminium Alloys (AA6061-T6) Using Response Surface Method and Radian Basis Function Network
Response Surface Method Radian Basis Function Network Surface roughness
2010/1/15
This paper is concerned with optimization of the surface roughness when milling Mould Aluminium alloys (AA6061-T6) with carbide coated inserts. Optimization of milling is very useful to reduce cost an...
Model reference-based machining force and surface roughness control
Machining Model-based control system Genetic programming
2010/2/4
Purpose: The main objective of this paper is to present the development of an empirical model-based control mechanism to maintain a fine surface finish quality by maintaining on-line cutting values.De...