| ZENG Fang-fang,QIU Lian-chang,WU Li-ying,XIE Jing,DU Yong.Progress in Cemented Carbide Cutting Tools Coating by Chemical Vapor Deposition[J],52(8):1-26, 70 |
| Progress in Cemented Carbide Cutting Tools Coating by Chemical Vapor Deposition |
| Received:May 02, 2022 Revised:July 21, 2022 |
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| DOI：10.16490/j.cnki.issn.1001-3660.2023.08.001 |
| KeyWord:chemical vapor deposition cemented carbide intelligent design characterization methods multi-scale computing typical CVD coating |
| Author | Institution |
| ZENG Fang-fang |
State Key Laboratory of Powder Metallurgy, Central South University, Changsha , China |
| QIU Lian-chang |
Ganzhou Achteck Tool Technology Co., Ltd., Jiangxi Ganzhou , China |
| WU Li-ying |
State Key Laboratory of Powder Metallurgy, Central South University, Changsha , China |
| XIE Jing |
State Key Laboratory of Powder Metallurgy, Central South University, Changsha , China |
| DU Yong |
State Key Laboratory of Powder Metallurgy, Central South University, Changsha , China |
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| Abstract: |
| The economic demand for higher cutting speeds and environmental demand for reducing the use of harmful coolants and lubricants in modern machining have driven a significant revolution in tool industry. It has been demonstrated that applying a thin layer of hard material to wear-resistant surfaces is a common and effective approach. Chemical vapor deposition (CVD) is an important coating technique which is widely used in production of hard-wear resistant coatings. In this work, the research progress of CVD coating technology in cemented carbide cutting tools was reviewed. Firstly, the principle involving complex thermodynamic and kinetic aspects that affected the coating quality and development history of CVD coating technology for cutting tools were introduced. Secondly, the applications of simulation methods (thermodynamics calculation, computational fluid dynamics, first-principles calculation, phase-field simulation, machine learning, etc.) in CVD coatings were described. Thirdly, the deposition experiment including schematic of CVD coating deposition and precursors as well as reaction of typical CVD hard coatings were introduced. Then the common used characterization methods of structure and properties for CVD coating including atom probe tomography, transmission electron microscope, synchrotron X-ray nanodiffraction, electron backscattered diffraction, differential scanning calorimeter and nano-indentation were described. Finally, several typical CVD coatings (TiC, TiN, TiCN, Al2O3, TiAlN, TiSiN, TiSiCN, TiAlSiN, TiB2, TiBN, TiBCN, and diamond coatings) for cemented carbide tools were listed. The current and future research directions of CVD wear-resistant coating can be summarized as follows:(1) Doping C, B, Al, Si and other elements on the basis of CVD TiN coating to improve the oxidation resistance and hardness; (2) Integrating multi-scale computational simulation, scientific database and key experiments into the whole process of hard coating development; (3) Developing ultra-hard nanocomposite coatings consisting of two or more nanocrystals or amorphous nanocrystals; (4) Improving the deposition efficiency and quality through the amelioration of coating equipment combined with PVD method; (5) Customizing coatings and controlling directional growth of coating textures according to machining requirements. The quantitative rules between coating microstructure and mechanical properties are important ways to promote the development of new coatings, but multiple heterogeneous coatings microstructure characterizations and performance tests are complex, this complex needs to use a variety of combinations of theories and experiment methods from different scales, different levels of coating microstructure evolution studies and performance change rules. The present work aims to provide a novel strategy for intelligent design, intelligent integration and intelligent research of high-performance coatings. It is required to integrate multi-scale computing simulation, scientific database and key experiments into the whole process of hard coating development, and strive to improve the research and development of wear-resistant coatings from traditional experience or semi-experience to scientific microstructure intelligent design through the correlation analysis of composition-process-structure-performance. It is expected to achieve the synergistic optimization of the microstructure regulation and performance of the substrate and the coating to obtain the most excellent comprehensive performance, thereby greatly speeding up the research and development of hard coatings, reducing research and development costs, and providing a strong technical support for high-end tool localization. |
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