Experimental Design for Optimization of Conditions Affecting Over-Standard Paint Thickness in Car Hood Electrodeposition Process

10.14416/j.ind.tech.2026.08.008

Authors

  • Chalida Chanwijitch Department of Industrial Engineering and Mangement, Faculty of Engineering and Technology, Panyapiwat Institute of Management
  • Apichart Chaichawalit Department of Robotics and Automation Engineering, Faculty of Engineering and Technology, Panyapiwat Institute of Management
  • Potiwat Ngamkajornwiwat Department of Robotics and Automation Engineering, Faculty of Engineering and Technology, Panyapiwat Institute of Management

Keywords:

Electrodeposition painting, Box-Behnken Design, Submission procedure, Paint thickness

Abstract

The objective of this research is to determine the optimal conditions for the electrodeposition (ED) painting process of car hoods to address the issue of over-standard paint thickness, which adversely affects product quality and production costs. This study applies the Box-Behnken Design to investigate factors influencing the occurrence of over-standard paint thickness. The three key factors examined include voltage (250–300 V), temperature (32–35 °C), and biocide concentration (200–400 L). The experimental results indicate that all three factors are statistically significant at a 95% confidence level. Through mathematical modeling and optimization, the optimal conditions were found to be a voltage of 252 V, a temperature of 32 °C, and a biocide concentration of 345 L. Confirmatory experiments were conducted to validate the accuracy of the mathematical model by comparing actual experimental values with predicted values. The results showed a percentage error of 1.32%, which is within the 5% limit. This demonstrates that the optimal conditions for the ED painting process of car hoods derived from the mathematical model are reliable and suitable for practical application.

 

References

H.J. Streitberger and K.F. Dössel, Automotive paints and coatings, 2nd Ed., Wiley-VCH, Weinheim, Germany, 2008.

P. Chaturvedi, M. Parvez and P. Pachauri, A systematic review on green manufacturing of automotive parts, 2023 6th International Conference on Contemporary Computing and Informatics (IC3I), Proceeding, 2023, 2144-2151.

Y.W. Chek and D.T.-C. Ang, Progress of bio-based coatings in waterborne system: Synthesis routes and monomers from renewable resources, Progress in Organic Coatings, 2024, 188, 108190.

M.M. Almomani, Y.O. Mayyas, O.H. Alomari, G.M. Tashtoush, S. Cherdkeattikul and N.K. Akafuah, Augmenting energy efficiency in automotive paint ovens: a review of future prospects and potential for lean, six sigma, AI, and IoT integration, Management of Environmental Quality: An International Journal, 2026, 37(2), 474-497.

B. Müller and U. Poth, Coatings Formulation: An International Textbook, 3rd Ed., Vincentz Network, Hanover, Germany, 2017.

X. Qiao, H. Li, W. Zhao and D. Li, Effects of deposition temperature on electrodeposition of zinc-nickel alloy coatings, Electrochimica Acta, 2013, 89, 771-777.

M. Assadian, M.R. Shirdar, M.H. Idris, S. Izman, D. Almasi, M.M. Taheri and M.R.A. Kadir, Optimisation of electrophoretic deposition parameters in coating of metallic substrate by hydroxyapatite using response surface methodology, Arabian Journal for Science and Engineering, 2015, 40, 923-933.

R. Jia, T. Unsal, D. Xu, Y. Lekbach and T. Gu, Microbiologically influenced corrosion and current mitigation strategies: A state of the art review, International Biodeterioration & Biodegradation, 2019, 137, 42-58.

T. Nguyen, F.A. Roddick and L. Fan, Biofouling of water treatment membranes: A review of the underlying causes, monitoring techniques and control measures, Membranes, 2012, 2(4), 804-840.

A.R. Elkais, M.M. Gvozdenović, B.Z. Jugović and B.N. Grgur, The influence of thin benzoate-doped polyaniline coatings on corrosion protection of mild steel in different environments, Progress in Organic Coatings, 2013, 76, 670-676.

S. Roy, A.K. Saha, S. Panda and G. Dey, Optimization of turmeric oil extraction in an annular supercritical fluid extractor by comparing BBD-RSM and FCCD-RSM approaches, Materials Today: Proceedings, 2023, 76, 47-55.

S.L.C. Ferreira, R.E. Bruns, H.S. Ferreira, G.D. Matos, J.M. David and G.C. Brandão, Box-Behnken design: An alternative for the optimization of analytical methods, Analytica Chimica Acta, 2007, 597(2), 179-186.

D.C. Montgomery, Design and Analysis of Experiments, 10th Ed., John Wiley & Sons, Hoboken, NJ, USA, 2019.

H.M. Nazha, B. Ammar, M.A. Darwich and M. Assaad, Response surface analysis of Zn-Ni coating parameters for corrosion resistance applications: a Plackett-Burman and Box-Behnken design of experiments approach, Journal of Materials Science, 2023, 58, 12465-12480.

A. de Myttenaere, B. Golden, B. Le Grand and F. Rossi, Mean Absolute Percentage Error for regression models, Neurocomputing, 2016, 192, 38-48.

Downloads

Published

2026-08-20 — Updated on 2026-08-20

Versions

Issue

Section

บทความวิจัย (Research article)