Dwi Atmanto, Lucius Patria Giri and Wahyudyatama, Wahyudyatama and Panjaitan, Kevin Fernando and Ibrahim, Gusri Akhyar and Burhanuddin, Yanuar (2020) Optimal Conditions of Tool Wear and Surface Roughness of Magnesium Workpiece in Milling Machine with Combination of Taguchi Methods, Grey Relational Analysis and Principal Component Analysis. In: Seminar Nasional Tahunan Teknik Mesin (SNTTM) XVIII, 9-10 Oktober 2019, Kampus Univ. Trisakti, Jakarta.
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Abstract
The Taguchi method is widely used to determine the optimal quality of a process with a single response. While for multiresponse cases, Grey Relational Analysis (GRA) and Principal Component Analysis (PCA) are widely used. With GRA , multiresponse can be simplified into one single response. Tool wear and surface roughness of the workpiece in the milling machining process are affected by the diameter of the tool, depth of feed, spindle speed and feeding speed. This study examines the response of tool wear and work surface roughness with three levels and four factors. For tool diameters , used 6, 8 and 10 mm. The depth of feed used 1, 1.5 and 2 mm. Spindle speeds at 910, 1280 and 1700 rpm. While the feeding speed is 75, 145 and 220 mm / minute. Optimal results obtained in conditions of 6 mm diameter, 1.5 mm depth of feeding, spindle speed of 1280 rpmm and feeding speed of 75 mm / minute. The optimal response obtained is 0.059 mm for tool wear and 0.364 μm for work surface surface roughness. The significant factor influencing is the feeding speed which influences 74,31 %.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | T Technology > TJ Mechanical engineering and machinery T Technology > TS Manufactures |
| Divisions: | Fakultas Teknik (FT) > Prodi Magister Teknik Mesin |
| Depositing User: | DR. Yanuar BURHANUDDIN |
| Date Deposited: | 24 May 2020 08:12 |
| Last Modified: | 24 May 2020 08:12 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/20425 |
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- Optimal Conditions of Tool Wear and Surface Roughness of Magnesium Workpiece in Milling Machine with Combination of Taguchi Methods, Grey Relational Analysis and Principal Component Analysis. (deposited 24 May 2020 08:12) [Currently Displayed]
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