RSM based expert system development for cutting force prediction during machining of Ti–6Al–4V under minimum quantity lubrication

Abstract In recent days the manufacturing process have become more precise and cost efficient due to advancement in field of computer technology. Information technology has been integrated with practice resulted time reduction from concept a product marketing product. Cutting force generated is main issue raised among industries as it clearly affects quality final Hence using extensive literature data base knowledge optimum cutting parameters are selected. Therefore, this paper focuses on response surface methodology (RSM) based expert system that developed JAVA programming help second order model automatically generate values during machining Ti–6Al–4V alloy under minimum quantity lubrication (MQL) for different input parameters. From RSM observed calculated value F (20.36) was greater than F-table (3.02) hence can be effectively used alloy. Further successfully predict while MQL conditions.