Experimental investigation of different machine learning approaches for tool wear classification based on vision system of milled surface

Y El-Taybany, GA Elhendawy - International Journal on Interactive Design …, 2024 - Springer
Tool condition monitoring (TCM) is of great concern for the quick and accurate detection of
tool wear in the machining industry to avoid tool change errors and perform tool wear …

Online monitoring of end milling for Al/SiC/RHA hybrid composites using temperature and vibration analysis

PS Sivasakthivel, R Sudhakaran - International Journal on Interactive …, 2024 - Springer
This paper investigates the machinability of Aluminium (Al7075)/12% Silicon Carbide
(SiC)/8% Rice Husk Ash (RHA) hybrid metal matrix composites in end milling operation. The …

Enhancing machining process efficiency through genetic algorithm-driven optimization: a user interface creation

MJ Abraham, B Neelakandan, U Mustafa… - International Journal on …, 2024 - Springer
Investigation of the optimization of machining processes for oil-hardened nitric steel
material, aiming to understand the productivity and quality is carried out. Utilizing an …

Multi-Objective Optimization of the Surface Grinding Process for Heat-Treated Steel

V Nguyen, D Nguyen, D Do… - International Journal of …, 2024 - journal.ump.edu.my
This paper effectively integrates Taguchi, Response Surface Methodology (RSM), and
Genetic Algorithm (GA) approaches for both single and multi-objective optimization …