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The effects of quenching and tempering temperatures on the microstructure and mechanccal properties of H13 hot work die steel were rnvestigated by using metallograplic microscopy, scanning electron microscopy, microhardness tesiing,and tensle testing. The findings revealed that secondary tempering treatment and appropriate reduction in tempering temperature result in the effective precipitation of iiner and more dispersed carbides and the complete release of quenching stress. As a resutt, the hardness and toughness of H13 hot work de steel were significantly improved. Notably,when the quenching temperature was 1 000 C and the tempering temperature was 520 C, the mechanical properties are superior, characterized by smaler tempering martenstte size and more uniform structural dsstribution. Under these cond!tions, the hardness measureed 487 HV, the tenslle strength reached 1 779 MPa,and the elongation was 11. 5%. The analysis of the tenslle fracture morphology reveals the presence of numerous dimples in the specimen after the tempering process, indccative of typca! ducile fracture charac t eris i ccs. Fur t hermore,a model was developed to describe t he soft ening behavior of H13 s t eel during t empering n t he t empera t ure range of 520 C to 600 C. [ABSTRACT FROM AUTHOR]

Tumor-treating fields (TTFields) is a novel treatment modality for malignant solid tumors, often employing electric field simulations to analyze the distribution of electric fields on the tumor under different parameters of TTFields. Due to the present difficulties and high costs associated with reproducing or implementing the simulation model construction techniques, this study used readily available open-source software tools to construct a highly accurate, easily implementable finite element simulation model for TTFields. The accuracy of the model is at a level of 1 mm 3 . Using this simulation model, the study carried out analyses of different factors, such as tissue electrical parameters and electrode configurations. The results show that factors influncing the distribution of the internal electric field of the tumor include changes in scalp and skull conductivity (with a maximum variation of 21.0% in the treatment field of the tumor), changes in tumor conductivity (with a maximum variation of 157.8% in the treatment field of the tumor), and different electrode positions and combinations (with a maximum variation of 74.2% in the treatment field of the tumor). In summary, the results of this study validate the feasibility and effectiveness of the proposed modeling method, which can provide an important reference for future simulation analyses of TTFields and clinical applications.