Measurement and prediction of cutting temperatures during dry milling: review and discussions-Reference-Cited by-同舟云学术

Measurement and prediction of cutting temperatures during dry milling: review and discussions

Published:2017-07-28 Issue:12 Volume:39 Page:5135-5158
ISSN:1678-5878
Container-title:Journal of the Brazilian Society of Mechanical Sciences and Engineering
language:en
Short-container-title:J Braz. Soc. Mech. Sci. Eng.

Author:

Bhirud N. L.,Gawande R. R.

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,General Engineering,Aerospace Engineering,Automotive Engineering,Industrial and Manufacturing Engineering,Applied Mathematics

Link

http://link.springer.com/article/10.1007/s40430-017-0869-7/fulltext.html

Reference90 articles.

1. Fernandez-Valdivielso A, Lopez de Lacalle LN, Urbikain G, Rodriguez A (2015) Detecting the key geometrical features and grades of carbide inserts for the turning of nickel-based alloys concerning surface integrity. Proc Inst Mech Eng Part C J Mech Eng Sci 0(0):1–18

2. Fata A (2011) Temperature measurement during machining depending on cutting conditions. J P&A Sci Technol 2:16–21

3. Bacci M, Wallbank J (1999) Cutting temperature: prediction and measurement methods—a review. J Mater Process Technol 88:195–202

4. Norouzifard V, Hamedi M (2014) A three-dimensional heat conduction inverse procedure to investigate tool—chip thermal interaction in machining process. Int J Adv Manuf Technol 74(9–12):1637–1648

5. Aydın M (2016) Cutting temperature analysis considering the improved Oxley’ s predictive machining theory. J Braz Soc Mech Sci Eng. doi: 10.1007/s40430-016-0514-x

Cited by 33 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. Performance Evaluation of Cutting Fluids Formulated with Recycled Toner Waste and Rice Bran Oil in Sustainable Machining of LMD Processed Ti64 Alloy;International Journal of Precision Engineering and Manufacturing-Green Technology;2024-06-14

2. Machine learning models for enhanced cutting temperature prediction in hard milling process;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-05-17

3. Optimization of process parameters for minimizing the temperature field of high-speed milling of titanium alloy thin-walled parts;International Journal on Interactive Design and Manufacturing (IJIDeM);2024-04-29

4. Comparison of Wet and Dry Milling;Advances in Chemical and Materials Engineering;2024-02-27

5. Cutting condition effects on microstructure and mechanical characteristics of Ni-based superalloys—a review;The International Journal of Advanced Manufacturing Technology;2024-01-05