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All Journal Jurnal Teknik Mesin DEDIKASI JURNAL MAHASISWA Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Prosiding Semnastek Jurnal Rekayasa Sipil Mesin Jurnal Performa Olahraga EKONOMIKA45 Jurnal Aquatik Dulang: Jurnal Pengabdian Kepada Masyarakat Jurnal Hukum, Politik dan Ilmu Sosial (JHPIS) Jurnal Abdimas: Pengabdian dan Pengembangan Masyarakat Jurnal Kabar Masyarakat Bhinneka: Jurnal Bintang Pendidikan dan Bahasa
Adriansyah Adriansyah
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Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Transportation Other

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Journal : Mesin

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OPTIMISASI PROSES PEMESINAN EDM WIRE CUT UNTUK MODUS GERAK SIRKULAR MENGGUNAKAN ALGORITMA GENETIK Sigit Yoewono Martowibowo; Adriansyah Adriansyah
Mesin Vol. 22 No. 2 (2007)
Publisher : Mesin

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Abstract

Electro Discharge Machining Wire Cut (EDM Wire Cut) is one of non-conventional machining process which is used by many manufacturer industries. Technology development demands this process can produce high quality product with good productivity. To fulfill this demand, optimization of machining processes that involves several variables can be done. When doing the optimization of machining condition, an algorithm using mathematical model is needed to calculate the optimum values of process variables. There are many optimization techniques and methods which can be chosen, one of them is Genetic Algorithm. In this research work, an implementation of Genetic Algorithm in machining process optimization is presented. As the optimization parameters, feed rate and surface roughness selected. Based on the above parameters and considering the capability of the existing EDM Wire Cut, five input parameters are determined with right combination, namely no load voltage, capacitor, on time, off time and servo voltage. The output has been compared to other optimization method and it appears that the Genetic Algorithm shows promising results and thus may be proposed as an alternative tool in machining process optimization.
Co-Authors Agnette Tjendanawangi Ali Amran Annisa Khairiyah Citra, Zel Dasep Suryanto Dedison Gasni Eko Ribawati I Wayan Bela Siki Layang Junaidi - - Junaidi Junaidi M. Ayi Nuriani Marcelien Dj Ratoe Oedjoe Mulyadi Mulyadi Nasirwan Nasirwan Neswita, Nedra Nurul Ihsan Pebri Apriyansyah Rian Trikomara Iriana Rina Rina Rino Sukma Roni Kurniawan Putra Salwa Sabrina Sela Marselina Sigit Yoewono Martowibowo Silvia Agustina Sri Agustin Sri Guntur Sry Windartini Syukri Syukri Teguh Yaman Telaumbanua Wibowo, Paksi Dwiyanto Yuli Yetri Yulia Nerise Fitriensi Zulman Zulman