Chip-Tool Interface Temperature Prediction Model for Turning Process

نویسندگان

  • L. B. ABHANG
  • M. HAMEEDULLAH
چکیده

In this research work the tool-chip interface temperature is measured experimentally during turning of EN-31 steel alloy with tungsten carbide inserts using a tool-work thermocouple technique. First and secondorder mathematical models are developed in terms of machining parameters by using the response surface methodology on the basis of the experimental results. The results are analyzed statistically and graphically. The metal cutting parameters considered are cutting speed, feed rate, depth of cut and tool nose radius. It can be seen from the first order model that the cutting speed, feed rate and depth of cut are the most significantly influencing parameters for the chip-tool interface temperature followed by tool nose radius. Another quadratic model shows the variation of chip-tool interface with major interaction effect between cutting speed and depth of cut (V*D) and second order (quadratic) effect of cutting speed (V) appears to be highly significant. The results show that increase in cutting speed, feed rate and depth of cut increases the cutting temperature while increasing nose radius reduces the cutting temperature. The suggested models of chip-tool interface temperature adequately map within the range of the cutting conditions considered.

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تاریخ انتشار 2010