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Perancangan Mesin Pengaduk (Mixer) Bahan Silase sebagai Pakan Ternak Kapasitas 200 Kg/15 Menit untuk Peternakan SapiBos Farm di Sumedang Riky Adhiharto; Aini Fadhlih Hanifah; Otto Purnawarman
Madaniya Vol. 4 No. 4 (2023)
Publisher : Pusat Studi Bahasa dan Publikasi Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53696/27214834.671

Abstract

Dalam memenuhi kebutuhan pangan yang semakin meningkat, sektor peternakan sapi memiliki peran pada penyediaan jumlah ternaknya. Pakan ternak merupakan salah satu faktor penting yang perlu diperhatikan. Umumnya pakan sapi berupa hijauan dan konsentrat. Akan tetapi terdapat teknologi pakan seperti pembuatan silase untuk kebutuhan persediaan ketika musim kemarau tiba. Dalam membuat silase dibutuhkan proses pengadukan. SapiBos Farm merupakan salah satu peternakan yang mengolah silase untuk ketersediaan pakan ternaknya. Mesin existing yang digunakan mengalami masalah pada bagian poros pengaduk yang slip dan pintu pengeluaran hasil campuran pun tersendat. Oleh karena itu, ditawarkan sebuah solusi rancangan mesin pengaduk bahan silase yang dilakukan dengan metode perancangan VDI2222. Dalam perancangannya, dilakukan kontrol kekuatan poros, rantai sebagai transmisi, dan kekuatan penampung melalui CAE Solidworks. Mesin memiliki dimensi terluar 1277 mm x 1764 mm x 2021 mm menggunakan motor 1 fasa 0,12 kW sebagai sumber penggeraknya dan kapasitas penampung 543 liter serta massa mesin yaitu 554 kg.
Redesign of Cover Lower Dies on Compaction Tool in Sealface Manufacturing Based on Powder Metallurgy Process Riona Ihsan Media; Otto Purnawarman; Hanif Azis Budiarto; Daffa Caesario
METAL: Jurnal Sistem Mekanik dan Termal Vol 8, No 1 (2024): Jurnal Sistem Mekanik dan Termal (METAL)
Publisher : Department of Mechanical Engineering, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/metal.8.1.25-38.2024

Abstract

The cover lower dies constitute a vital component of the ejector compaction tool system employed in the powder metallurgy process for sealface production. However, a failure occurred in the compaction process, leading to the deformation of the component after the production of more than eleven sealfaces. This study investigates the ejector compaction tool system, with a specific focus on the cover lower dies, aiming to optimize the tool's construction. Employing the Pahl & Beitz design methodology, the research encompasses discussions with previous researchers, observation of existing tools, disassembly of current tools, and simulation analysis. Emphasizing static analysis to assess stress, deflection, and safety factor values, the research aims for a safety factor exceeding 2.00 in the redesigned cover lower dies. The optimal solution involves changing the material to AISI D2 with a hardness of 62 HRC, modifying the cover lower dies thickness by 13mm, and increasing springs and retained pins from 2 to 4 pieces. Consequently, the redesigned ejector compaction tool system is deemed operationally safe, signifying a successful improvement in its construction for enhanced reliability and performance.
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.