FUZZY BASED OPTIMIZATION OF CUTTING PARAMETERS FOR TURNING OPERATION

Tool wear is an important phenomenon which directly affects the work piece dimensions and surface quality. A reliable and sensitive technique for monitoring the tool wear without interrupting the process and it is crucible in realization of modern manufacturing systems like unmanned machining centers, adaptive control optimization etc, and the project contributes to suggest the fuzzy based optimization of cutting parameters such a depth of cut, feed rate and tangential force. Cutting force is the major criteria that plays vital role in tool wear, when more force is induced in tools and it wear out rapidly. Optimum cutting force is essential to effectively utilize the tool and minimize the cost in various aspects. In this experiment the lathe tool dynamometer is used to monitor the cutting force of mild steel work by tungsten carbide tool, by varying the feed rate and depth of cut. Designing of fuzzy model for optimizing the strategic decision can be very helpful to protect the failures in the system. The above problem can be easily countered by the fuzzy logic, because fuzzy logic has ability to deal with uncertainty and multi-valued logic and result is complied by MAT-Lab.