Effects of cutting parameters on surface quality in hard milling-Reference-Cited by-同舟云学术

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Effects of cutting parameters on surface quality in hard milling

Published:2019-10-09 Issue:16 Volume:34 Page:1803-1815
ISSN:1042-6914
Container-title:Materials and Manufacturing Processes
language:en
Short-container-title:Materials and Manufacturing Processes

Author:

Li Binxun¹²,Zhang Song¹²,Fang Yujie¹²,Wang Jiachang³,Lu Shaolei³

Affiliation:

1. Key Laboratory of High Efficiency and Clean Mechanical Manufacture of MOE, School of Mechanical Engineering, Shandong University, Jinan, PR China

2. Key National Demonstration Center for Experimental Mechanical Engineering Education, Shandong University, Jinan, PR China

3. Qingdao Hisense Mould Co., Ltd., Qingdao, PR China

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/10426914.2019.1675888

Reference32 articles.

1. Hard Machining of Stainless Steel Using Wiper Coated Carbide: Tool Life and Surface Integrity

2. Application of sustainable techniques in metal cutting for enhanced machinability: a review

3. A Metallo-Thermo-Mechanically Coupled Analysis of Orthogonal Cutting of AISI 1045 Steel

4. Dislocation Density and Grain Size Evolution in the Machining of Al6061-T6 Alloys

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A multiscale finite element modeling for predicting the surface integrity induced by thermo-mechanical loads during high-speed milling of Ti-6Al-4V;CIRP Journal of Manufacturing Science and Technology;2024-09

2. Surface conditioning in cutting and abrasive processes;CIRP Annals;2024

3. On the correlation between processing parameters, plastic deformation, and mechanical property in hard machining of H13 steel;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2023-03-03

4. An investigation on machinability of AISI D2 steel during hard milling with multi-resolution analysis of vibration;Engineering Research Express;2023-03-01

5. Optimization of Cutting Parameters and Result Predictions with Response Surface Methodology, Individual and Ensemble Machine Learning Algorithms in End Milling of AISI 321;Arabian Journal for Science and Engineering;2023-02-13

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