Induction heating is a technology that uses heat generated by resistance when a high-frequency current is applied to a coil. An electric range using this is called an Induction Heating (IH) electric range. IH electric ranges are being widely applied in commercial products recently because they have higher thermal efficiency performances than other methods. The performance of a heating coil of an IH electric range greatly varies depending on the shape and number of coils. Thus, research on optimal coil shape and number according to product shape is required. Therefore, this study aimed to design an optimal heating coil at the set temperature of an electric range product. Target temperature was set to the temperature that a commercial stainless-steel container could withstand. The thickness of the coil copper wire, the number of windings, the applied voltage, and the frequency were set as design variables. A sensitivity analysis was performed to check the influence of each design variable on coil temperature. Based on this, optimal design was performed using the response surface method. Electromagnetic field-thermal analysis was performed with the designed coil and a very approximate result was obtained with a 0.07% error from the set target temperature.

In this work, we present an experimental study on cutting force and chip shrinkage coefficient during the milling of SKD11 steel at elevated temperatures using a high-frequency induction heating method. To improve the determination of the chip shrinkage coefficient, a 3D scanning method incorporating GOM Inspect 3D data analysis software was used to measure the chip length. To evaluate the effect of the heating process on output data such as chip geometry, cutting force, and chip shrinkage coefficient, cutting experiments were conducted at room and elevated temperatures with the same machining parameters of cutting speed, feed rate, and cutting depth. The Taguchi orthogonal array method was subsequently used for experimental design to obtain optimum values of the machining parameters. The analysis of variance method was also performed to indicate the percentage effect of the machining parameters on the cutting force and chip shrinkage coefficient. Finally, models of the cutting force and chip shrinkage coefficient during thermal-assisted milling of SKD11 were established and compared with experimental data.