PREDICTION OF SURFACE ROUGHNESS IN HIGH SPEED MACHINING: A COMPARISON

Grynal D’Mello, Srinivasa Pai P

Abstract: This paper discusses the application of the Response Surface Methodology (RSM) and Artificial Intelligence (AI) based techniques namely Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) for predicting surface roughness in high speed machining operations. Experiments have been carried out on CNC lathe at different speeds and feeds, with depth of cut constant. Cutting tool vibration has been measured using accelerometer mounted on the tool holder. Root Mean Square (RMS) of vibration, cutting speed and feed have been used as input parameters to develop models based on three techniques for predicting surface roughness (Ra). A comparison has been made between these techniques

Keywords: Response Surface Methodology, Artificial Neural Network, Adaptive Neuro-Fuzzy Inference System, Surface Roughness

DOI: https://doi.org/10.15623/ijret.2014.0315098