Articles
| Open Access | ASSESSING THE EFFICACY OF ADVANCED OPTIMIZATION TECHNIQUES FOR TITANIUM CUTTING SURFACE OPTIMIZATION
Abstract
This study investigates the effectiveness of advanced optimization techniques in enhancing the cutting surface quality of titanium, a material known for its high strength-to-weight ratio and corrosion resistance. The research evaluates various optimization methods, including genetic algorithms, simulated annealing, and particle swarm optimization, to determine their impact on cutting surface parameters such as roughness, wear resistance, and tool life. Experimental trials were conducted using state-of-the-art machining processes, where parameters were systematically varied to identify the optimal cutting conditions. Results indicated significant improvements in surface quality and tool performance when applying these advanced techniques compared to conventional methods. The findings contribute valuable insights into the optimization of titanium machining processes, enabling manufacturers to enhance product quality and reduce production costs.
Keywords
Titanium, cutting surface optimization, advanced optimization techniques, genetic algorithms
References
Article Statistics
Copyright License
Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.