Jurnal Sistem Cerdas
Vol. 5 No. 2 (2022)

Optimasi Multi-Objektif Proses Pemesinan Milling dengan Metode Taguchi Kolaborasi Grey Relational Analysis

Nadila Attin Miftah (-)
Denny Sukma Eka Atmaja (Universitas Telkom)
Ayudita Oktafiani (Universitas Telkom)



Article Info

Publish Date
31 Aug 2022

Abstract

This research focus on multi-objective optimization to minimize surface roughness and maximize material removal rate (MRR) on aluminum alloy 6061 T6. The experiment was designed based on the L9 orthogonal array and was carried out by milling machining process. The input parameters selected from the milling machining conditions are spindle speed, feed rate, and depth of cut. The responses obtained from these experiments are surface roughness and material removal rate. To achieve these two objectives simultaneously, the Taguchi method collaboration with of gray relational analysis can be used. The effect of cutting parameters on surface roughness and MRR can be determined using ANOVA and interaction plots. The optimal parameters to achieve minimum surface roughness and maximum MRR are the combination of a spindle speed of 600 rpm, a feed rate of 50 mm/min, and a depth of cut of 0.7 mm.

Copyrights © 2022






Journal Info

Abbrev

jsc

Publisher

Subject

Automotive Engineering Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering

Description

Jurnal Sistem Cerdas dengan eISSN : 2622-8254 adalah media publikasi hasil penelitian yang mendukung penelitian dan pengembangan kota, desa, sektor dan kesistemam lainnya. Jurnal ini diterbitkan oleh Asosiasi Prakarsa Indonesia Cerdas (APIC) dan terbit setiap empat bulan ...