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Optimization of process parameters for recycling of mill scale using Taguchi experimenal design

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Abstract

The present work submits an investigation about the optimum process parameters and quality improvement of mill scale recycling. With increasing concerns on environmental issues, the recycling of materials of all types has become an important issue. In this paper, an optimization method is developed to improve quality in mill scale recycling. The optimum configuration of process parameters to achieve high metallization efficiency was determined by experiments. The Taguchi method, the signal-to-noise (S/N) ratio, the analysis of variance (ANOVA) and rsponse surface optimization are employed to find the main effects and to determine their optimum process parameters. The significant process parameters were identified and their effects on mill scale recycling were studied. Finally, a confirmation experiment with the optimal levels of the process parameters was carried out to demonstrate the effectiveness of the Taguchi method.

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  • 09 September 2019

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Authors and Affiliations

  1. Department of Mechanical Engineering, Dong-A University, 840 Hadan2-dong, Busan, 604-714, Korea

    Seok-Heum Baek

  2. Industrial Science Technology Research Center, Pukyong National University, Yongdang-dong, Nam-gu, Busan, 608-739, Korea

    Soon-Hyeok Hong

  3. Department of Vehicle Engineering, Kangwon National University, Samcheok, Gangwon-do, 245-711, Korea

    Seok-Swoo Cho

  4. Department of Mechanical Engineering, Kangwon National University, Samcheok, Gangwon-do, 245-711, Korea

    Deuk-Yul Jang

  5. Department of Mechanical Engineering, Dong-A University, 840 Hadan2-dong, Busan, 604-714, Korea

    Won-Sik Joo

Authors
  1. Seok-Heum Baek
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  2. Soon-Hyeok Hong
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  3. Seok-Swoo Cho
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  4. Deuk-Yul Jang
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  5. Won-Sik Joo
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Corresponding author

Correspondence to Seok-Swoo Cho.

Additional information

This paper was recommended for publication in revised form by Associate Editor Yong Tae Kim

Seok-Heum Baek received a B.S. degree in Mechanical Engineering from Dong-A University in 2001. He then went on to receive his M.S. from Dong-A University in 2003 and Ph.D. degree from Dong-A University in 2010. Dr. Baek is currently a part-time lecturer at the Mechanical Engineering at Dong-A University in Busan, Korea. Dr. Baek works on ceramic composite design and robust and reliability-based design, and his research interests are in the areas of trade-off analysis in multicriteria optimization, design under uncertainty with incomplete information, and probabilistic design optimization.

Soon-Hyeok Hong received a B.S. degree in Mechanical Engineering from Pukyong National University in 1988. He then went on to receive his M.S. from Dong-A University in 1995 and Ph.D. degree from Dong-A University in 2001. Dr. Hong is currently a Research Engineer at the Industrial Science Technology Research Center at Pukyong National University in Busan, Korea. Dr. Hong works on failure analysis and safety estimation, and his research interests are in the areas of structural optimization, and X-ray diffraction, crack propagation and fatigue fracture phenomena.

Seok-Swoo Cho received a B.S. degree in Mechanical Engineering from Dong-A University in 1991. He then went on to receive his M.S. from Dong-A University in 1993 and Ph.D. degree from Dong-A University in 1997. Dr. Cho is currently a Professor at the Vehicle Engineering at Kangwon National University in Gangwon-do, Korea. Dr. Cho works on crack growth modeling and composite design and optimization, and his research interests are in the areas of structural optimization and inverse and identification problems, and Xray diffraction, brittle collapse and crack propagation, fatigue fracture phenomena.

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Baek, SH., Hong, SH., Cho, SS. et al. Optimization of process parameters for recycling of mill scale using Taguchi experimenal design. J Mech Sci Technol 24, 2127–2134 (2010). https://doi.org/10.1007/s12206-010-0714-8

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  • DOI: https://doi.org/10.1007/s12206-010-0714-8

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