Monitoring of the cutting area with different type of sensors requires confirmation for composing sensor fusion to obtain longer tool life and high-quality product. The complex …
Generally, dynamic model selection is implemented using algorithms that need a feedback from the system's output; but, in many real-world applications this feedback is not available …
M Kuntoğlu, H Sağlam - CIRP Journal of Manufacturing Science and …, 2021 - Elsevier
Prediction of tool wear plays a key role in machining world due to its considerable impact on total costs in terms of fabricated part quality and disposal of cutting insert before reaching the …
Surface integrity remains one of the major areas of concern in electric discharge machining (EDM). During the current study, grey-fuzzy logic-based hybrid optimization technique is …
J Mahmood, G Mustafa, M Ali - Measurement, 2022 - Elsevier
The study is focused on executing machining operations by using 18 tools of milling, drilling, and turning thus 6 tools were used for each machining process. The VB of tool was …
In the manufacturing industry, cutting tool failure is a serious event which causes damage to the cutting tool and reduces the quality of the product, which increases the cost of …
This paper shows a combination of computational fluid dynamics (CFD) and adaptive neuro- fuzzy inference system (ANFIS) to propose a new viewpoint for multiphase flow modeling …
The quality of a machined finish plays a major role in the performance of milling operations, good surface quality can significantly improve fatigue strength, corrosion resistance, or …
Surface roughness and cutting force are two key measures that describe machined surface integrity and power requirement evaluation, respectively. This investigation presents the …