Purwanto, Obi and Tanaya, Prianggada Indra and Prajogo, Tutuko and Sofianti, Tanika D. (2014) Prototype Application Development for Machining Optimization Using Genetic Algorithm for Drilling Machine. Bachelor thesis, Swiss German University.

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Abstract

This works talks about the optimization process which is not conducted very well in machining industries. Some of cutting parameters such as cutting speed (v) and feed (f) are chosen only by the operator’s sense or by looking at the table. This works has a goal to construct a software application that can be used as an optimization tool, where time and cost will become the target variable in the optimization process. The optimization method process will be using Taylor Tool Life formula and Genetic Algorithm Method, where at the end both of them will be compared with each other.

Item Type:	Thesis (Bachelor)
Uncontrolled Keywords:	Drilling Operation, Prototype Application, Genetic Algorithm, Taylor Tool Life, Optimization, Cutting Parameter
Subjects:	T Technology > T Technology (General) > T55.4 Industrial engineering. Management engineering
Divisions:	Faculty of Engineering and Information Technology > Department of Industrial Engineering
Depositing User:	Faisal Ifzaldi
Date Deposited:	04 May 2021 15:27
Last Modified:	04 May 2021 15:27
URI:	http://repository.sgu.ac.id/id/eprint/1981

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