作者： JA Adnan , BM Mohamad , AR Md Nizam
DOI:
关键词:
摘要: The temperature in metal cutting operations is a result of heat that influences the cutting tool properties such as tool durability. It is necessary to investigate this parameter and reduce it to the lowest possible value. This study deal with the shear zone temperature (Ts) and its effect on the mechanical properties of the carbide insert cutting tool in (CNC) turning operation using dry machining. An Artificial Immune System (AIS) algorithm is proposed as the optimization algorithm to find the optimum cutting parameters that minimize the shear zone temperature. Therefore, the tool durability can be enhanced. The optimum parameters are used directly in (CNC) turning machine as inputs to find the corresponding cutting tool temperatures. Many sensors and devices were used, thermocouple for temperature measuring, dynamometer for cutting forces measuring, signal processing interface and intelligent decision making …