Aplikasi Disain Komposit Pusat Pada Proses Pengecatan Mobil Bekas

Abeth Novria Sonjaya, Kevin Hervito, Tri Atmoko

Abstract


The business of buying and selling used cars is increasingly substantial in Indonesia, in the era of globalization progressively developing depends on demands a process that must be fast, precise, and economical. Repair to body, chassis, and engine are competency expertise in the field of Automotive Engineering that emphasizes automotive repair service skills.  at now selling price of used cars, it is necessary to do repairs, the process of repairing used cars or better known as refurbishment work pre-owned cars is mostly done by small-scale used car buying and selling businesses. In order for used cars to return to their like-new condition, generally small-scale used car sellers carry out the process of repairing the vehicle themselves, especially repairs to the vehicle's body paint. This study aims to process of painting a Toyota Avanza car bodypaint against the thickness of the paint using a spray booth tool by using the model of central composite design (CCD). The effect of spray-on booth temperature, interstice size of the spray gun, and time according to the thickness of the paint will be analyzed using the CCD method. This spray booth painting technology is expected to help reduce bodypaint lead time. The results of the ANOVA (Analysis of Variance) regression analysis, the temperature of the spray booth, interstice size of the spray gun, and time are the factors that most significantly affect the thickness of the paint. The operating conditions to produce optimal paint thickness are temperature 55oC, interstice size of spray gun of 1.7 mm and time of painting and drying of 30 minutes, the resulted of a thickness of the paint for used and new cars are 130.2 μm and 81.84 μm., with a coefficient of determination for used and new cars of 90.78% and 96.19%.


Keywords


Body paint Central composite design Used car

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References


T. Giulio, B. Paolo, S. Lorenzo, P. Daniele, G. Alessandro, A new path-constrained trajectory planning strategy for spray painting robots - rev.1, The International Journal of Advanced Manufacturing Technology, vol 98, 2018, pp.2287–2296.

M. Ferreira, A.P. Moreira, P. Neto, 2012. A low-cost laser scanning solution for flexible robotic cells: spray coating, Int J Advan Manuf Technol, vol 58, 2012, pp. 1031–1041.

N. Arunkumar, P. Venkatesh, K.S. Srinivas, S. Kaushik, 2012. Response surface modeling and optimization of single axis automatic application of automotive polyurethane coatings on plastic components. Int J Adv Manuf Technol, vol 63 no 9, 2012, pp.1065–1072

P.N. Atkar, A. Greenfield, D.C Conner, H. Choset, A.A. Rizzi, Uniform coverage of automotive surface patches. Int J Robot Res, vol, no 24, 2005, pp. 883–898

Yudhanto, Ferriawan, Teknik Pengecatan Kendaraan, Yogyakarta: Universitas Muhammadiyah Yogyakarta, 2013.

S. Baldwin S. Robotic paint automation: the pros and cons of using robots in your paint finishing system. Met Finish, vol 108, 2010, pp.126–129

Y. Chen, W. Chen, B. Li, G. Zhang, W. Zhang. Paint thickness simulation for painting robot trajectory planning: a review. Industrial Robot: Int J, vol 44, no 5, 2017, pp. 629–638

Duffy, E. James, Auto Body Repair Technology, Minnesota : Delmar Cengage Learning, 2008.

D. C. M. Montgomery, Design and Analysis of Experiments, New York: John Wiley &Sons, 2001.




DOI: https://doi.org/10.31479/jtek.v8i2.71

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