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Monitoring and optimization of drilling process parameters using GA integrated with semi-empirical Method and Hole Quality

Publication Type : Journal Article

Publisher : Natural Volatiles and Essentail Oils journal

Source : Natural Volatiles and Essentail Oils journal.8(4). Pp. 11869-11896

Url : https://nveo.org/index.php/journal/article/view/2462

Campus : Chennai

School : School of Engineering

Department : Mechanical Engineering

Year : 2021

Abstract : Monitoring tool wear and the cutting area during the drilling process is not easy: The development of robust and semi-empirical methods to make the drilling operation a fully automated machining process is therefore desirable [1]. The literature has identified two possible ways of utilizing tools that affect the drilling process: (a) underutilization of a tool which results in frequent tool change and longer machine downtime, thereby reducing the system productivity and increasing the cost. (b) over utilization of a tool, which affects, the work-piece quality, surface finish and dimensions and disrupts the automated drilling process. From these studies, one can conclude that tool condition monitoring systems are imperative for the measurement of the progress of tool wear along with surface roughness measurement.

Cite this Research Publication : Nakandhra kumar R. S., Balaji Ramachandran, V. Parthasarathy, Vasudev K. L., C. Edwin Samuel, Anirudh Srinivas Vellimedu (2021) Monitoring and optimization of drilling process parameters using GA integrated with semi-empirical Method and Hole Quality, Natural Volatiles and Essentail Oils journal.8(4). Pp. 11869-11896 (Impact factor 0.65)

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