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All Journal Journal of Mechanical Engineering Science and Technology Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa Dan Inovasi
Mandala, Wirawan Widya
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Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Mechanical Properties of Corner Lap-45 Types Joined Using Friction Stir Welding Setiawan, Widia; Santoso, Nugroho; Winarto, Felixianus Eko Wismo; Krisnaputra, Radhian; Mandala, Wirawan Widya; Maulana, Jibril
Journal of Mechanical Engineering Science and Technology (JMEST) Vol 8, No 1 (2024)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um016v8i12024p178

Abstract

Solid welding has always been concerned with probe design, pins, and joint strength. Many researchers have conducted studies on joints, such as butt joints, lap joints, and T joints, but the results show low strength. This study analyzes the mechanical properties of a new design of a 90o angle joint joined by friction stir welding. This study connected aluminum 6061 using the friction stir welding method using a rectifying jig and a probe with EMS 45 material. The corner joint designs used corner-lap 45 with feed rate as independent variables in 6, 8, 10, 15, and 30 mm/min and dependent variable probe rotation speed at 1000 rpm and shoulder pressure in 584 kg. The results show low feed rates create chips and fish fins on the advancing side, and microstructure test results at low feed rates (6-15 mm/min) indicate the presence of interface bonding. The hardness value of the stir zone also shows an insignificant increase. In the tensile test results, the tensile strength decreases from the base metal value, which then the tensile strength increases along with the increase in feed rate up to a feed rate of 15 mm/min and decreases again at a feed rate of 30 mm/min.
Inventory Management and Proactive Maintenance to Enhance Operational Efficiency in Excavators: Focus on Common Spare Parts Issues Surojo; Setiawan, Widia; Harjono; Santosa, Nugroho; Winarto, Felixtianus Eko Wismo; Mandala, Wirawan Widya
Jurnal Asiimetrik: Jurnal Ilmiah Rekayasa & Inovasi Volume 7 Number 1 (2025)
Publisher : Fakultas Teknik Universitas Pancasila

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35814/asiimetrik.v7i1.7770

Abstract

Effective inventory management and maintenance are critical for the operational efficiency of heavy equipment such as excavators. This study focuses on optimizing spare parts inventory for Cummins diesel engines using the min-max stock method. It aims to improve inventory control by categorizing spare parts into slow-moving, medium-moving, and fast-moving components and addressing maintenance issues that impact performance. The research utilized the min-max stock method to determine optimal inventory levels, ensuring spare parts availability while minimizing holding costs. Key maintenance issues in components such as track shoes, cam shafts, rear shafts, motor starters, and exhaust manifolds were identified through inspections. Advanced diagnostic tools, including vibration analyzers and thermal imaging, were used for proactive maintenance. The study identified critical wear and damage in components like track shoes, cam shafts, and exhaust manifolds, which could lead to equipment failure if not addressed. Implementing the min-max stock method helped reduce stockouts and overstocking, ensuring an optimal balance in inventory. The results demonstrate that integrating the min-max stock method with systematic maintenance practices significantly improves operational efficiency. The use of real-time diagnostic tools enabled early issue detection, reducing downtime and maintenance costs. This study emphasizes the importance of inventory optimization, regular inspections, and timely maintenance interventions for enhancing equipment reliability. Future research should explore predictive maintenance technologies to further refine inventory and maintenance strategies in the heavy equipment sector.
Co-Authors Felixtianus Eko Wismo Winarto Harjono Jibril Maulana Nugroho Santoso Radhian Krisnaputra Santosa, Nugroho Setiawan, Widia Surojo Winarto, Felixianus Eko Wismo