Expand the coverage of the central high-temperature zone: Observing the temperature contour maps (Nodal Solution) of different structures, it can be found that the size and shape of the core high-temperature band (the innermost area of the images) vary significantly with structural changes. The core goal of optimization is to adjust the internal geometric structure so that the temperature contour lines in the central area are as sparse as possible, thereby obtaining a wider, high-temperature flat zone with a smaller internal temperature difference.

Reshape heat generation and conduction paths: It can be seen from the mesh generation and Element Solution images that the geometric cross-sections (such as stepped or zigzag structures) of internal conductive and heating components differ among models. By optimizing the shapes and positions of these heating components, the distribution path of heat flow can be altered to specifically compensate for heat loss towards the colder anvils around them, thereby narrowing the temperature gradient between the edge and the center of the cavity.

Utilize simulation comparisons to screen for the optimal gradient: The materials show various structural models with different peak temperatures (e.g., 1374 K, 1481 K, 1518 K, 1534 K, etc.). A scientific method to improve temperature uniformity is to systematically change the geometric parameters of the assembly structure through such finite element simulations, compare the temperature profiles of each scheme, and finally select an assembly configuration that not only reaches the target temperature but also has the most uniform overall thermal field distribution and the smoothest cooling transition to the periphery.