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All Journal Infotekmesin Multidisciplinary Innovations and Research in Applied Engineering
Dedhy Prihtiantoro
Akademi Inovasi Indonesia
Computer Science & IT Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Investigation on the significance of numerical and physical parameters on a plane wall heat transfer Dedhy Prihtiantoro
Multidisciplinary Innovations and Research in Applied Engineering Vol. 1 No. 1 (2024)
Publisher : Akademi Inovasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70935/fa6c8f97

Abstract

Heat transfer is a process that underlines many engineering applications. Temperature distribution and heat flux of a part as an effect of heat load can be analyzed for technical and economic justification. Computation has been easier with the aid of computational software based on numerical methods. The numerical method is about approximation; therefore, validation is necessary to verify the accuracy. A comparison of numerical and analytical methods on a plane wall thermal analysis had confirmed that the result from ANSYS fluent satisfies the computation. The results were strengthened by the negligible error when comparing the analytical and numerical methods. An extended study was performed to further investigate the significance of numerical and physical parameters on the result. The numerical parameter does not seem to have a significant effect, yet the physical parameters do. The study can be employed to predict the generated heat flux from various parameters under predefined operating conditions.
Prediksi dan Validasi Porositas Kipas Aluminium Hasil Pengecoran Dengan Simulasi dan Eksperimen Berbasis Finite Difference Method Dedhy Prihtiantoro; Agus Lutanto
Infotekmesin Vol 16 No 2 (2025): Infotekmesin: Juli 2025
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v16i2.2806

Abstract

Porosity is a common defect in the aluminum casting process, particularly in thin-walled components such as compressor fans. This study aims to predict and validate porosity in cast aluminum fan components using a combined simulation and experimental approach. The simulation was conducted using the Finite Difference Method (FDM) with the aid of SOLIDCast and FLOWCast software to evaluate molten metal distribution, Niyama criterion, and solidification time. The experimental casting was carried out using silica sand molds and Aluminum A319 alloy, followed by metallographic analysis under an optical microscope. The results show a strong correlation between the simulation predictions and experimental findings, especially in the identification of microporosity, gas porosity, and localized shrinkage. This approach has proven effective in improving casting quality and can serve as a reference for optimizing gating system design.
Optimization of Endmill Tool Life in Aluminum 6061 Milling Using Design of Experiments (DoE) and DMAIC Lean Six Sigma Dedhy Prihtiantoro; Agus Lutanto; Baharudin Priwintoko
Infotekmesin Vol 17 No 2 (2026): Infotekmesin: Juli 2026
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/

Abstract

Premature endmill failure in aluminum 6061 milling increases production costs, machine downtime, and surface quality variation. Previous studies have generally been conducted under laboratory conditions; therefore, they do not fully represent parameter variations, machine conditions, operator involvement, and monitoring limitations in industrial shop-floor environments. This study aims to identify the dominant factors affecting endmill breakage and to determine the optimum cutting parameters. The research method integrates DMAIC Lean Six Sigma, Design of Experiments (DoE), FMEA, ANOVA, and cutting force analysis. The results show that feed per tooth and depth of cut are the dominant factors affecting endmill breakage frequency. The optimum combination was obtained at the low cutting-speed level, feed per tooth of 0.10 mm/tooth, and depth of cut of 2 mm, with a predicted Breaks_out_of_10 value of 1.07. Based on the optimization model and cutting force analysis, this combination provides a predictive estimate of a 30–40% reduction in breakage compared with the baseline condition. The contribution of this study lies in integrating process improvement, statistical optimization, and mechanistic interpretation to support tool life control in industrial milling processes.
Co-Authors Agus Lutanto Baharudin Priwintoko Fitrian Imaduddin Mohamad Izzur Maula