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All Journal Jurnal Teknologi International Journal of Advanced Technology in Mechanical, Mechatronics and Material (IJATEC) International Journal of Innovation in Mechanical Engineering and Advanced Materials
Lase, Asaeli Tongoni
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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A Review on CNC Milling Parameter Optimization Using Taguchi and Response Surface Methodology (RSM) Lase, Asaeli Tongoni; 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.v6i1.108

Abstract

CNC milling technology is essential to today's industrial sector because it makes it possible to produce components precisely and efficiently. In this study, CNC milling machining parameters are optimized using the Taguchi technique and Response Surface Methodology (RSM). We also analyze several other characteristics such as Spindle Speed (SS), Feed Rate (FR), and Depth of Cut (DoC). To determine important factors and ideal configurations, this study blends statistical analysis, such as ANOVA, with experimental methods. According to the study's findings, the two most important variables affecting surface roughness (Ra) and Material Removal Rate (MRR) are FR and DoC. The optimization approach can help improve product quality while cutting down on production time. This in turn promotes the manufacturing process's efficiency.
Statistical Approach in Analyzing Fuel Efficiency of Diesel SUVs in Indonesia Using MATLAB Ginting, Canda Lesmana; Lase, Asaeli Tongoni; Adnan, Farrah Anis Fazliatul; Rhee, Jong Soo; Ginting, Dianta
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 7, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v7i1.28136

Abstract

The scarcity of fossil fuels and the rising environmental concerns make improving fuel efficiency in the automotive sector a critical focus. Diesel Sport Utility Vehicles (SUVs) in Indonesia, known for their high fuel consumption, significantly contribute to these challenges. This research ad-dresses the problem by investigating the factors influencing fuel efficiency in diesel SUVs availa-ble in the 2024 Indonesian market. The primary objective is to analyze the impact of engine torque, vehicle weight, and engine capacity on fuel consumption. To achieve this, we employed MATLAB as a tool for statistical analysis, using specific algorithms such as linear regression, box plot, and correlation methods to model and evaluate the data. The study found that vehicle weight and engine capacity show a strong positive correlation with fuel consumption, indicating that larger engines and heavier vehicles consume more fuel. In contrast, engine torque was found to have a weaker correlation, suggesting that factors like aerodynamics and transmission efficiency may play a more significant role. These results provide valuable insights for manufacturers in de-signing more fuel-efficient SUVs and for consumers making informed purchasing decisions. Ulti-mately, this research contributes to the development of more sustainable transportation solu-tions by highlighting the importance of optimizing vehicle design and engine specifications to re-duce fuel consumption in the near term.
Review: Optimizing Plastic Injection Processes for Enhanced Quality and Sustainable Manufacturing Lase, Asaeli Tongoni; Arwati, I Gusti Ayu
International Journal of Innovation in Mechanical Engineering and Advanced Materials Vol 7, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijimeam.v7i1.31721

Abstract

In the automotive world, plastic products are components that cannot be separated. Almost all automotive products use plastic because it is easy to produce, and the price is relatively cheap compared to other materials. For applications such as covers, the demand on plastic surface quality are higher than for different uses. Therefore, a lot of costs are incurred to achieve this quality. However, ongoing efforts have decreased the time and expense of developing plastic molds. Many researchers have conducted studies to improve the quality of these products. This review consolidates several research articles on optimizing plastic injection processes to reduce defects and improve product quality. Techniques such as Taguchi Method, Response Surface Methodology (RSM), Artificial Neural Networks (ANN), and Finite Element Method (FEM) were evaluated in this research. This review highlights the importance of process parameters such as melt temperature, injection pressure, and cooling time, as well as the role of digital simulation in designing efficient and sustainable molds. The results of the study show that in several studies, defects often occur in the product without carrying out the optimization process. Still, the Taguchi and ANOVA methods can reduce the weld line and sink after optimizing the process parameters, such as melting temperature, injection pressure, cooling time, and injection speed. Mark up to 30%. These findings highlight the potential of these techniques to significantly improve product quality and support more sustainable manufacturing practices in the plastic injection molding industry.
Prediksi Umur Pahat dalam Proses Milling Menggunakan Persamaan Umur Pahat Taylor: Sebuah Analisis Empiris Lase, Asaeli Tongoni
Jurnal Teknologi Vol. 12 No. 2 (2025): Jurnal Teknologi
Publisher : Universitas Jayabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31479/jtek.v12i2.317

Abstract

Abstrak Perkembangan industri saat ini telah memasuki era Industri 4.0, di mana digitalisasi menjadi kunci utama menuju era ini. Dalam dunia manufaktur, digitalisasi harus didukung oleh data yang akurat untuk mengimplementasikan otomasi digital dengan efektif. Salah satu mesin yang sering digunakan dalam proses manufaktur adalah mesin milling. Agar mesin ini dapat beroperasi secara otomatis, dibutuhkan data umur pahat yang akurat untuk mencegah masalah seperti overcut, dimensi produk yang tidak sesuai standar, dan penyimpangan lainnya.Parameter yang mempengaruhi umur pahat antara lain kecepatan potong, putaran spindle, kecepatan pemakanan, kedalaman pemakanan, lebar pemakanan, material pahat, dan material benda kerja. Penelitian ini menyajikan analisis empiris untuk memprediksi umur pahat dalam operasi milling menggunakan persamaan umur pahat Taylor. Data penelitian ini diperoleh dari sembilan eksperimen yang dilakukan dengan variasi putaran spindle. Dalam penelitian ini, kecepatan potong dihitung dan regresi linier digunakan untuk mendapatkan konstanta persamaan Taylor.Hasil penelitian ini menunjukkan bahwa persamaan Taylor dapat digunakan sebagai metode yang andal untuk memprediksi umur pahat. Metode ini memungkinkan pengoptimalan parameter pemesinan dan peningkatan efisiensi dalam proses manufaktur. Dengan demikian, hasil penelitian ini memberikan kontribusi penting dalam mendukung digitalisasi di dunia manufaktur, khususnya dalam otomasi proses milling, sehingga dapat meningkatkan kualitas dan produktivitas secara keseluruhan. Keywords: , analisis empiris, umur pahat, milling, kecepatan potong, persamaan Taylor
Co-Authors Adnan, Farrah Anis Fazliatul Ginting, Canda Lesmana Ginting, Dianta Hadi Pranoto I Gusti Ayu Arwati Rhee, Jong Soo