Development of an empirical model to quantify carbon emissions for machining of cylindrical parts
Author:
Publisher
Springer Science and Business Media LLC
Subject
Health, Toxicology and Mutagenesis,Pollution,Environmental Chemistry,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s11356-022-23349-2.pdf
Reference46 articles.
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2. Brillinger M, Wuwer M, Abdul Hadi M, Haas F (2021) Energy prediction for CNC machining with machine learning. CIRP J Manuf Sci Technol 35:715–723. https://doi.org/10.1016/j.cirpj.2021.07.014
3. Camposeco-Negrete C, de Dios Calderόn-Nájera J (2019) Optimization of energy consumption and surface roughness in slot milling of AISI 6061 T6 using the response surface method. Int J Adv Manuf Technol 103:4063–4069. https://doi.org/10.1007/s00170-019-03848-2
4. Dahmus JB, Gutowski TG (2004) An Environmental analysis of machining. In: Proceedings of the ASME 2004 international mechanical engineering congress and exposition. manufacturing engineering and materials handling engineering. Anaheim, California, USA. November 13–19, pp. 643–652. https://doi.org/10.1115/IMECE2004-62600
5. Deng Z, Lv L, Huang W et al (2020) Modelling of carbon utilisation efficiency and its application in milling parameters optimisation. Int J Prod Res 58:2406–2420. https://doi.org/10.1080/00207543.2019.1633026
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