Comparative analysis over microstructural, mechanical properties and cutting performance of TiN, TiVN coatings deposited by magnetron sputtering on SiAlON ceramic tool insert

Raghav, Rajneesh; Mulik, Rahul S.

doi:10.1016/j.surfcoat.2024.130570

Surface and Coatings Technology

2024

DOI: 10.1016/j.surfcoat.2024.130570

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Comparative analysis over microstructural, mechanical properties and cutting performance of TiN, TiVN coatings deposited by magnetron sputtering on SiAlON ceramic tool insert

Rajneesh Raghav,

Rahul S. Mulik

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Cited by 2 publications

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A comprehensive cutting tool adaptation method for multi-feature part based on evolutionary game algorithm

Huo,

Zhou,

Liu

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part B:

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The adaptation of cutting tools is the key link in machining. Although a large amount of work has been done to achieve tool selection for a single feature, there is relatively little research on tool scheme adaptation for multi-feature parts. Considering the factors of matching, efficiency, cost, and environment, a comprehensive optimization method for a multi-feature part tool scheme is proposed in this work. First, the critical tool of a complex feature is defined, and a tool combination method with complex single features is proposed to generate an efficient tool strategy. Then, a tool scheme optimization model for multi-feature parts is constructed in which each machining feature is mapped to a game player in the model space, and the set of available tools is mapped to the player strategies. In addition, the classical evolutionary game algorithm is improved to adapt to the model, according to the difference in the features number and type of different parts. Finally, a square test piece is taken as a case to verify the proposed method. The result shows that the method presented in this work can efficiently obtain the customer-preferred tool scheme for the part.

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A comprehensive cutting tool adaptation method for multi-feature part based on evolutionary game algorithm

Huo,

Zhou,

Liu

et al. 2024

Proceedings of the Institution of Mechanical Engineers, Part B:

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Synthesis of ternary titanium–niobium nitride nanoparticles by induction thermal plasma

Wang,

Zhang,

Hirose

et al. 2024

Jpn. J. Appl. Phys.

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High-purity ternary titanium-niobium nitride nanoparticles were prepared by an induction thermal plasma. Metallic Ti and Nb powders served as raw materials. Molar fractions of Nb/(Ti+Nb) were set at various levels including 0, 0.25, 0.5, 0.75, and 1. Ammonia was introduced from the bottom into the plasma equipment as a quench gas. Nanoparticles crystallized in a cubic rock salt structure in the crystallographic space group Fm-3m. All nanoparticles exhibited similar morphology. The average particle size across all samples is approximately 10-14 nm. Elements Ti, Nb, and N are almost uniformly distributed in the nanoparticles. Investigations into the formation mechanism were conducted by examining nucleation temperature and thermodynamic analysis. Ternary titanium-niobium nitride nanoparticles form rapidly through nucleation, condensation, and coagulation with a nitridation reaction. Induction thermal plasma proves to be a highly efficient method for synthesizing ternary titanium-niobium nitride nanoparticles.

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Comparative analysis over microstructural, mechanical properties and cutting performance of TiN, TiVN coatings deposited by magnetron sputtering on SiAlON ceramic tool insert

Cited by 2 publications

References 44 publications

A comprehensive cutting tool adaptation method for multi-feature part based on evolutionary game algorithm

A comprehensive cutting tool adaptation method for multi-feature part based on evolutionary game algorithm

Synthesis of ternary titanium–niobium nitride nanoparticles by induction thermal plasma

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