Study of the Synergistic Effect of Induction Heating Parameters on Heating Efficiency Using Taguchi Method and Response Surface Method

This work designed an intercalation internal induction heating coil in a mold and drew a plate-type steel for the heating mold (size: 300 mm x 200 mm x 40 mm). First, to explore the influence rule of special-shaped coils on induction heating effects, the temperature rise curve on the mold surface was simulated at different heating depths, currents, and frequencies. Next, the extent to which these three factors affect the maximum mean temperature and temperature uniformity was discussed using the Taguchi method and the analysis of variance (ANOVA). Results show that heating depth and current are important factors influencing the target results, while frequency only has a small impact. The maximum mean temperature reaches its peak level when the heating depth, current, and frequency are at the respective values of 5 mm, 1200 A, and 40 KHz and the optimal temperature uniformity can be achieved when these values are 7 mm, 800 A, and 20 KHz, respectively. Finally, the synergistic effect of different factors on target results was analyzed using the response surface method (RSM).

Automated summary

This study designed an intercalation internal induction heating coil and drew a plate-type steel for the heating mold. The influence of special-shaped coils on induction heating effects was explored by simulating the temperature rise curve on the mold surface under different heating depths, currents, and frequencies. The Taguchi method and analysis of variance (ANOVA) were used to investigate the impact of these factors on maximum mean temperature and temperature uniformity. The synergistic effect of different factors on target results was analyzed using the response surface method (RSM).