In today’s manufacturing landscape, emerging players such as those in China are rapidly advancing technologies and launching new products at remarkable speed. The automotive industry faces similar pressure to deliver innovative solutions tailored to global customer needs. One such challenge is the application of difficult-to-machine materials, originally used in race cars, to commercially available products. This requires preventing tool breakage while ensuring sufficient tool life under high-speed, high-feed cutting conditions. To meet these demands, high-accuracy temperature prediction using numerical analysis is essential for optimizing cooling strategies and developing high-efficiency cutting tools.
KAETSU et al. (Wed,) studied this question.