New insights into the methods for predicting ground surface roughness in the age of digitalisation
Journal article
Yuhang, P., Ping, Z., Ying, Y., Anupam, A., Yonghao, W., Dongming, G. and Goel, S. (2020). New insights into the methods for predicting ground surface roughness in the age of digitalisation. Precision Engineering. 67, pp. 393-418. https://doi.org/10.1016/j.precisioneng.2020.11.001
Authors | Yuhang, P., Ping, Z., Ying, Y., Anupam, A., Yonghao, W., Dongming, G. and Goel, S. |
---|---|
Abstract | Grinding is a multi-length scale material removal process that is widely employed to machine a wide variety of materials in almost every industrial sector. Surface roughness induced by a grinding operation can affect corrosion resistance, wear resistance, and contact stiffness of the ground components. Prediction of surface roughness is useful for describing the quality of ground surfaces, evaluate the efficiency of the grinding process and guide the feedback control of the grinding parameters in real-time to help reduce the cost of production. This paper reviews extant research and discusses advances in the realm of machining theory, experimental design and Artificial Intelligence related to ground surface roughness prediction. The advantages and disadvantages of various grinding methods, current challenges and evolving future trends considering Industry-4.0 ready new generation machine tools are also discussed. |
Keywords | Industry-4.0; Digitalization; Quality; Prediction; Digital manufacturing; Precision grinding |
Year | 2020 |
Journal | Precision Engineering |
Journal citation | 67, pp. 393-418 |
Publisher | Elsevier |
ISSN | 0141-6359 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.precisioneng.2020.11.001 |
Publication dates | |
06 Nov 2020 | |
Publication process dates | |
Accepted | 02 Nov 2020 |
Deposited | 05 Nov 2020 |
Accepted author manuscript | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/8qx5q
Download files
Accepted author manuscript
authors copy (preprint).pdf | ||
License: CC BY-NC-ND 4.0 | ||
File access level: Open |
189
total views159
total downloads2
views this month3
downloads this month