Mohruni, Amrifan Saladin and Yanis, Muhammad and SUNDARI, ELLA and BUDIMAN, ARIE YUDHA and MARTOMI, EKA SATRIA (2015) Mathematical Modelling of Surface Roughness on Tropical Wood Machining Using Response Surface Methodology. APPLIED MECHANICS AND MATERIALS JOURNALS, 815. pp. 313-317. ISSN 1662-7482
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Abstract
Surface roughness is an important indicator to assess the surface processing quality and has a decisive impact on the furniture finishing effects. In this research, the application of response surface methodology (RSM) has been carried out for modelling and analysing of influences in the sanding process on wood materials. Surface roughness parameter Ra showed surface characteristics of Tembesu, Jati and Petanang. This study is aimed to observe the effect of feed rate and grit size on Ra. The central composite design (CCD) was used as a design of experiment (DOE). There were 8 runs at factorial points and additional 5 replicated runs at the centre point. The sanding process was done using a modified horizontal milling machine. The results are statistically analysed by using Design Expert software. It was found that increasing of feed rate had a positive effect on the roughness value of Ra and greater feed rates increased the surface roughness. On the other hand, grit size influenced negative effect. Larger grit size affected the smoother surface roughness. At the end of this study, it was also revealed that the optimum machining conditions in terms of feed rate and grit size were 17 mm/min and 240 for Tembesu and Jati, while Petanang was 18.63 mm/min and 226.52.
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ1125-1345 Machine shops and machine shop practice > TJ1180 Machining, Ceramic materials--Machining-Strength of materials-Machine tools-Design and construction > TJ1180.I54 Machining |
| Divisions: | 03-Faculty of Engineering > 21101-Mechanical Engineering (S2) |
| Depositing User: | Prof Amrifan Saladin Mohruni |
| Date Deposited: | 07 Dec 2021 17:04 |
| Last Modified: | 07 Dec 2021 17:04 |
| URI: | http://repository.unsri.ac.id/id/eprint/58949 |
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