Mathematical Modelling of Surface Roughness on Tropical Wood Machining Using Response Surface Methodology

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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.

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Periodical:

Edited by:

Mohd Mustafa Al Bakri Abdullah, Rafiza Abd Razak, Muhammad Mahyiddin Ramli, Shayfull Zamree Abd Rahim, Rizalafande Che Ismail and Mohd Nasir Mat Saad

Pages:

313-317

DOI:

10.4028/www.scientific.net/AMM.815.313

Citation:

A. S. Mohruni et al., "Mathematical Modelling of Surface Roughness on Tropical Wood Machining Using Response Surface Methodology", Applied Mechanics and Materials, Vol. 815, pp. 313-317, 2015

Online since:

November 2015

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$35.00

[1] J. Zhang, C. Su, J. Huang,Y. Ren, Z. Wang: Applied Mechanics and Materials Vols. 174-177 (2012), p.175.

[2] M. Kilic, S. Hiziroglub, E. Burdurlu: Build. Environ. Vol. 41 (2006), p.1074.

[3] J. P. Davim, Wood Machining: ISTE Ltd, Inc, UK (2011).

[4] K. Palanikumar: Mater. Des. Vol. 28 (2007), p.2611.

[5] Y. Sahin, A.R. Motorcu: Mater. Des. Vol. 26 (2005), p.321.

[6] Y. Sahin, A.R. Motorcu: Int. J. Refract. Met. Hard Mater Vol. 26 (2008), p.84.

[7] S. Tiryaki, A. Malkocoglu, S. Ozsahin: Constr. Build. Mater Vol. 66 (2014) p.329.

[8] P. L. Tan, S. Sharif, I. Sudin: Wood Science Technology, Vol. 46 (2012), p.129.

[9] L. Gurau, W.H. Mansfield, M. Irie: Holz Roh Werkst. Vol. 63 (2005), p.43.

[10] B. Hendarto, E. Shayan, B. Ozarska, R. Carr, Int. J. Adv. Manuf. Technol. Vol. 28 (2006), p.775.

[11] American Society for Testing & Material, ASTM D1666-11, Standard Test of Wood and Wood-Base Panel Material, ASTM International, Pennsylvania (2012. ).

[12] R. H. Myers, D. C. Montgomery, C. M. Anderson-Cook: Response Surface Methodology, 3rd Edition, John Wiley & Sons Inc, Canada (2009).

[13] O. Sulaiman, R. Hashim, K. Subari, C. K. Liang: J. Mater. Process. Technol. Vol. 209 (2009), p.3949.

[14] G Nemli, I. Ozturk, I. Aydin: Build. Environ. Vol. 40 (2005), p.1337.

[15] T. Rajmohan, K. Palanikumar: Measurement Vol. 46 (2013), p.1470.

[16] Z. W. Zhong, S. Hiziroglu, C. T. M. Chan: Measurement Vol. 46 (2013), p.1482.

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