{'fraction_non_alphanumeric': 0.020391517128874388, 'fraction_numerical': 0.0, 'mean_word_length': 5.074257425742574, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Process Parameter Optimization Using Response Surface Methodology for Turning

The experimental investigations of the tool wear and surface roughness for turning of Grey cast iron at different cutting parameters are reported in this paper. This paper also outlines an approach to quantify specific relationships between cutting parameters and tool wear and surface roughness. The model is formulated using Response Surfaces methodology. There are three input parameters, i.e. speed, feed and depth of cut, and two output parameters, i.e. tool wear and surface roughness. Response surface plots are indicated by taking two input parameters along X-axis and Y-axis, keeping a third one as a constant and one output parameter along Z-axis. Then the interaction of these parameters is also shown as two-dimensional representation. Response surfaces were reported for each output parameter viz. Tool Wear and Surface roughness. The mathematical model is formulated. This model is capable of estimating the wear rate and surface roughness at different cutting conditions. The model performed quite satisfactory results with the actual and predicted tool wear values. Optimum cutting parameters can also be obtained using this model.