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ANALISIS PARAMETER CNC TURNING MENGGUNAKAN METODE OPERASI BARIS ELEMENTER PADA SOFTWARE MATLAB TERHADAP KUALITAS SHAFT MATERIAL ALUMINIUM DENGAN INSERT TOOL CARBIDE Salafuddin, Hafidz
Mechonversio: Mechanical Engineering Journal Vol. 7 No. 1 (2024): JUNI 2024
Publisher : Univervitas Maarif Hasyim Latif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51804/mmej.v7i1.16632

Abstract

Proses pemesinan CNC merupakan fondasi utama manufaktur modern yang penting untuk produksi komponen dengan spesifikasi dan kualitas tinggi. Adapun, parameter pemesinan seperti kecepatan spindel, arah pemotongan, dan kondisi alat pemotong sangat mempengaruhi kualitas produk, termasuk kekasaran permukaan dan integritas struktural. Penelitian ini bertujuan untuk mengoptimalkan parameter pemesinan pada mesin CNC turning dengan bahan aluminium 6061-T6 menggunakan insert tool carbide, guna meningkatkan kualitas permukaan shaft dan umur alat. Sebagaimana diketahui, pendekatan yang digunakan adalah operasi baris elementer pada perangkat lunak MATLAB untuk memecahkan dan mengevaluasi sistem persamaan non-linear. Di samping itu, penelitian dilakukan pada mesin CNC Turning jenis Haas ST-20 dengan variasi parameter kecepatan potong (V), kedalaman potong (d), dan laju pemakanan (f). Material yang digunakan adalah aluminium 6061-T6 dengan insert tool dari Sandvik Coromant model CNMG 432. Hasil penelitian menunjukkan hubungan positif linear antara kecepatan potong, kedalaman potong, dan laju pemakanan terhadap kualitas permukaan. Begitu juga, kecepatan potong optimal adalah 145.00, kedalaman potong optimal adalah 0.72, dan laju pemakanan optimal adalah 0.32, menghasilkan kualitas produk sebesar 90.31. Pada titik ini, temuan ini memberikan kontribusi signifikan bagi industri manufaktur dalam meningkatkan efisiensi dan efektivitas proses pemesinan.
Analysis of Determinants of Carbon Fiber Strength: A Review Salafuddin, Hafidz; Pranoto, Hadi
International Journal of Advanced Technology in Mechanical, Mechatronics and Materials Vol 6, No 1 (2025)
Publisher : Institute for Research on Innovation and Industrial System (IRIS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37869/ijatec.v6i1.105

Abstract

In globalization and material advancement, carbon fiber has become a strategic solution in addressing sustainability challenges, especially in the automotive and aeronautical sectors, thanks to its superior lightweight and strength properties. This research aims to assess the various factors that influence the strength of carbon fibers and their potential integration in composites. The approach chosen is a literature review, which collects and synthesizes the results of recent studies to develop a thorough understanding of the strength and applications of carbon fibers. The findings of this study show significant improvements in tensile strength and weight reduction through the modification of carbon fiber with materials such as dopamine and its integration in aluminum matrix composites. Carbon fiber promises to be an important advance in developing composite materials that not only support sustainability but also adapt to the technical needs of contemporary industries. These results urge further research on efficient production methods to maximize the use of carbon fiber in wider applications.
Statistical Analysis Engine Capacity, Weight, and Torque on MPV Fuel Consumption Using Regression and Correlation Algorithms Salafuddin, Hafidz; Pradipta, Nanang K; Adnan, Farrah Anis Fazliatul; Rhee, Jong Soo; Ginting, Dianta
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 6, No 3 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v6i3.28137

Abstract

The rapid increase in production and usage of Multi-Purpose Vehicles (MPVs) in Indonesia has led to heightened concerns over fuel consumption, environmental pollution, and economic sustainability. This study investigates the relationship between engine capacity, vehicle weight, engine torque, and fuel consumption in MPVs, aiming to provide a better understanding of how these variables influence fuel efficiency. Data from 1500 cc MPV models produced between 2023 and 2024 were collected, including technical specifications such as engine capacity, weight, torque, and reported fuel consumption. Using MATLAB, linear regression and Pearson correlation analysis were employed to analyze these relationships. The results reveal that vehicle weight has the most significant impact on fuel efficiency, exhibiting a strong negative correlation of -0.69, meaning that heavier vehicles tend to consume more fuel. Engine capacity showed a moderate negative correlation of -0.28, while engine torque had a weak correlation of -0.11, indicating that torque plays a less critical role in determining fuel consumption under normal driving conditions. The regression analysis further confirmed that vehicle weight is the most influential factor, with reductions in weight providing the greatest potential for improving fuel efficiency. These findings have important implications for both manufacturers and consumers. Automotive manufacturers are encouraged to prioritize the use of lightweight materials and advanced engineering designs to enhance fuel efficiency. Additionally, consumers can use this information to make informed decisions when selecting MPVs, focusing on models with optimized weight to reduce fuel consumption. Overall, this study contributes to ongoing efforts to develop more sustainable and fuel-efficient vehicles in the automotive industry.