Process Parameter Optimization for Abrasive Water Jet Machining of Titanium Alloy Using Meta-Heuristic Algorithms
MATEC Web Conf., 221 (2018) 01004
Published online: 2018-10-29
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
Multi-objective optimization of AWJM parameters for Ti-6Al-4V hole production using polynomial regression modeling, MO-Jaya algorithm, and COCOSO MCDM
Mohamed Abouhawa, Abeer Eisa, Mohamed Fattouh and Sachin SalunkheREVIEWS ON ADVANCED MATERIALS SCIENCE 65 (1) (2026)
https://doi.org/10.1515/rams-2025-0256
A comparative analysis on parametric optimization of abrasive water jet machining processes using foraging behavior-based metaheuristic algorithms
Devendra Pendokhare, Somnath Nandi and Shankar ChakrabortyOPSEARCH (2025)
https://doi.org/10.1007/s12597-025-00916-y
Application of simultaneous evaluation of criteria and alternatives (SECA) method for parametric optimization of hybrid machining processes
Partha Protim Das and Shankar ChakrabortyInternational Journal on Interactive Design and Manufacturing (IJIDeM) 16 (4) 1497 (2022)
https://doi.org/10.1007/s12008-022-00842-z