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All Journal Journal of Mechanical Engineering, Science, and Innovation
Mahameru, Rolland Darin Khalifah
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Control & Systems Engineering Energy Engineering Mechanical Engineering

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Optimization of Fused Deposition Modeling (FDM) Machine Process Parameters for Polylactic Acid (PLA) Surface Roughness Using the Taguchi Approach Rosyadi, Mochammad Willdan; Prayoga, Adimas Dwi; Mukti, Abdi Satryo; Mahameru, Rolland Darin Khalifah; lestari, Wahyu Dwi
Journal of Mechanical Engineering, Science, and Innovation Vol 4, No 1 (2024): (April)
Publisher : Mechanical Engineering Department - Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jmesi.2024.v4i1.5999

Abstract

The surface quality of 3D printed products greatly influences the performance and aesthetics of the final product. Polyalactid Acid (PLA) is a material commonly used in 3D printing manufacturing because it is environmentally friendly and easy to use. However, the roughness of the printed surface is often a challenge that needs to be overcome to improve product quality. This research aims to optimize surface roughness in the 3D printing process using PLA material by applying the Taguchi method. The 3D printing parameters used in this research are nozzle temperature, infill density, printing speed, layer thickness, infill pattern, and orientation with each parameter having three levels. The research results show thatThe optimal parameter combination that produces the lowest surface roughness is nozzle temperature at level 2, infill density at level 3, printing speed at level 3, layer thickness at level 3, infill pattern at level 3, and orientation at level 3. The use of the Taguchi method also shows that the combination of printing process parameters is the factor that most influences the quality of the printed surface. With this optimization, it is hoped that it can improve the quality of 3D printed products and expand the application of PLA materials in various industries. 
Optimization of Fused Deposition Modeling (FDM) Machine Parameters for Carbon Fiber Tensile Strength Using the Taguchi Method Prayoga, Adimas Dwi; Mukti, Abdi Satryo; Mahameru, Rolland Darin Khalifah; Rosyadi, Willdan; lestari, Wahyu Dwi
Journal of Mechanical Engineering, Science, and Innovation Vol 4, No 1 (2024): (April)
Publisher : Mechanical Engineering Department - Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jmesi.2024.v4i1.5987

Abstract

3D printing using Fused Deposition Modeling (FDM) technology has emerged as a promising approach for manufacturing components with composite materials such as carbon fiber. This study aims to optimize the parameters of FDM machines for carbon fiber tensile strength using the Taguchi Method. The optimized FDM machine parameters include nozzle temperature, infill density, printing speed, layer thickness, infill pattern, and orientation. Experiments were conducted based on the Taguchi experimental design with an L27 Orthogonal Array (3^6) matrix, resulting in 27 experiments with different parameter combinations. After printing was completed, tensile tests were performed to measure the tensile strength of the printed samples. The results of the analysis using the Taguchi Method show the optimal settings of the FDM machine parameters to achieve maximum tensile strength for carbon fiber material. The analysis results show that the parameters that can optimize the tensile test response are nozzle temperature at level 2 (230°C), infill density at level 3 (80%), printing speed at level 3 (100 mm/s), layer thickness at level 3 (0.3 mm), infill pattern at level 1 (line), and orientation at level 3 (30°) with the highest tensile test value of 27.7766 MPa. This study provides an important contribution to the development of 3D printing techniques with carbon fiber, by identifying the optimal settings that can improve the mechanical performance of printed components. It is expected that the results of this study can be used as a practical guideline for the 3D printing industry in optimizing FDM machine parameters for printing carbon fiber-based composite materials.
Co-Authors Mukti, Abdi Satryo Prayoga, Adimas Dwi Rosyadi, Mochammad Willdan Rosyadi, Willdan Wahyu Dwi Lestari