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All Journal Logic : Jurnal Rancang Bangun dan Teknologi Jurnal Teknologi Terapan
Achmad Sambas
Politeknik Manufaktur Bandung
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Mechanical Engineering

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Tellurium Effect on ASTM A 220 Graphite Malleable Cast Iron Mohammad Nur Hidajatullah; Achmad Sambas; Khansa Sarah Puspita
Logic : Jurnal Rancang Bangun dan Teknologi Vol 19 No 1 (2019): March
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat (P3M) Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1525.921 KB) | DOI: 10.31940/logic.v19i1.1274

Abstract

The result of investigation of tellurium malleable cast iron are presented in the paper. Various small quantity of tellurium are added in the ladle before pouring molten metal. The main aim of investigation was determination of the influence composition of tellurium on graphite microstructure and mechanical properties. In addition, the final mechanical property of composition determined by hardness measurements. The favourable influence of the addition of tellurium into malleable cast iron molten metal on the tested properties after annealing as well as an percentation of graphite structure from 2% up to 6.5% and increase hardness from 38 HRc up to 43 HRc
OPTIMASI PARAMETER PEMBUBUTAN PADA MATERIAL AISI 4340 MENGGUNAKAN METODE TAGUCHI DAN GREY RELATIONAL ANALYSIS Otto Purnawarman; Achmad Sambas; Bella Rukmana
Jurnal Teknologi Terapan Vol 10, No 1 (2024): Jurnal Teknologi Terapan
Publisher : P3M Politeknik Negeri Indramayu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31884/jtt.v10i1.510

Abstract

In the turning process, the parameters of cutting speed (Vc), feed rate (f), and nose radius (rε) are things that influence the quality of the product. This study aims to optimize the relationship between the parameters of tool wear and surface roughness. AISI 4340 low alloy steel workpiece material and carbide insert cutting tools are used. The method used is a statistical application approach with the Taguchi method, gray relational analysis (GRA) techniques to get the best level combination for multi-response results and Analysis of variance (ANOVA) to determine factors that affect tool wear and surface roughness. The factor used is cutting speed. (Vc), feed rate (f), and nose radius (rε) with three levels and the responses are surface roughness (Ra) and tool wear (VB). The results of the ANOVA show that cutting speed (Vc) and feed rate (f) are significant factors for surface roughness and tool wear. The optimal factor level values for obtaining surface roughness (Ra) and minimum tool wear (VB) were Vc level 1 = 73.73 m/min, f level 1 = 0.1 mm/rev, and rε level 1 = 1.2 mm.
Co-Authors Bella Rukmana Khansa Sarah Puspita Mohammad Nur Hidajatullah Otto Purnawarman