Published in

Springer, International Journal of Advanced Manufacturing Technology, 9-12(104), p. 4571-4580, 2019

DOI: 10.1007/s00170-019-04291-z

Links

Tools

Export citation

Search in Google Scholar

Improving precision in the prediction of laser texturing and surface interference of 316L assessed by neural network and adaptive neuro-fuzzy inference models

Journal article published in 2019 by H. Sohrabpoor, R. Taherzadeh Mousavian, M. Obeidi, I. U. Ahad, D. Brabazon ORCID
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

Full text: Unavailable

Green circle
Preprint: archiving allowed
Orange circle
Postprint: archiving restricted
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO