Abstract
In order to create the components of cermet tool material, a new method for designing tool material based on wear prediction was proposed. The finite element simulation of the cutting process was carried out based on a previously constructed microstructure model of the tool material which involves the components and its volume fractions. A new Ti(C7, N3)/TiB2/WC was designed and prepared based on the acquisition of variations in tool wear morphology among different components and the wear prediction results were verified by the high-speed cutting experiment of stainless steel 06Cr19Ni10. It has been shown that with 20% TiB2 and 15% WC, respectively, the changes of the peak temperature of the rake face and the cutting force reached the lowest level and also the wear amount of the tool was the minimum. With a sintering temperature of 1550 °C, a pressure of 32 MPa and a holding time of 30 min, the bending strength of the Ti(C7, N3)/TiB2/WC cermet tool and hardness were 1096.45 MPa and 18.9 GPa, respectively, and the fracture toughness was 9.85 MPa∙m1/2. The validity of the proposed wear prediction model was verified by studying the variation of the wear amount and the main wear area of the developed tool. This research provides a new efficient method for the design of cermet tool materials, which is time-saving and cost-effective.
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Funding
This work is sponsored by the National Natural Science Foundation of China (51605364), the Natural Science Basic Research Plan in Shaanxi Province of China (2022JM-207), the China Postdoctoral Science Foundation funded project (2017M623131), the Shaanxi Province Postdoctoral Science Foundation (2018BSHEDZZ13), the Science and Technology Planning Project of Beilin District of Xi’an (GX2217), the Graduate Education and Teaching Research project of Xi’an Technological University (XAGDYJ210205).
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Dong Wang: Conceptualization, Methodology, Supervision. Tongxin Wang: Software, Writing- Original draft preparation. Zhibao Li: Validation, Supervision, Investigation. Hongtao Yu: Writing- Reviewing and Editing. Jingjing Zhang: Visualization, Investigation. All authors read and contributed to the manuscript.
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Wang, D., Wang, T., Li, Z. et al. Microstructure design and preparation of cermet tool material based on wear prediction. Int J Adv Manuf Technol 126, 1889–1906 (2023). https://doi.org/10.1007/s00170-023-11217-3
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DOI: https://doi.org/10.1007/s00170-023-11217-3