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Hybrid modeling for smart roller leveling in precision magnetic scale manufacturing

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Abstract

In smart manufacturing, machines are interconnected through cyber physical system (CPS) to achieve efficient manufacturing production. Manufacturing efficiency of precision magnetic scale has surfaced as an inevitable challenge. The manufacturing of precision magnetic scale requires precise flatness throughout production and handling processes. In the current technological shortcomings in magnetic scale manufacturing, any flatness defects in the scale would substantially influence its position sensing accuracy. Thus, the goal of this research is to develop and examine a hybrid mechanics model to ensure the scale’s flatness in manufacturing. This model is validated that accurate roller setting can be obtained prior to machine operation, which can significantly improve manufacturing efficiency. In this work, the proposed hybrid mechanics model is performed, validated, and compared to experimental and factory recommended results. The results have demonstrated its capability in predicting optimal leveling roller settings under given conditions, suggesting the possibility of smart manufacturing for magnetic scales.

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Acknowledgments

The authors greatly appreciate the support from Ministry of Science and Technology of Taiwan through grant MOST 105-2622-E-007-008-CC2 for the work discussed herein.

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Authors and Affiliations

  1. Department of Power Mechanical Engineering, National Tsing Hua University, Hsinchu City, 30013, Taiwan

    Brian Chen & Jen-Yuan Chang

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  1. Brian Chen
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  2. Jen-Yuan Chang
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Correspondence to Jen-Yuan Chang.

Additional information

Brian Chen received B.S. degree in 2013 from University of California, Irvine, USA, M.S. and Ph.D. degrees in 2015 and 2020, respectively from National Tsing Hua University, Taiwan, all in mechanical engineering with specialization in mechanical system design engineering, mechatronic integration, and smart manufacturing. His research interest includes the field of intelligent manufacturing technology, roll-forming process, mechatronic integration, and magnetic encoder.

Jen-Yuan Chang received B.S. degree in 1994 from National Central University, Taiwan and M.S. and Ph.D. degrees in 1998 and 2001, respectively from Carnegie Mellon University, USA, all in Mechanical Engineering. He is currently a Distinguished Professor in the Department of Power Mechanical Engineering, National Tsing Hua University, Taiwan, the Deputy Director of Ministry of Science and Technology-Artificial Intelligence for Intelligent Manufacturing Systems Research Center located in Hsinchu, Taiwan, and the CTO of Mechanical and Mechatronics Systems Laboratories at Industrial Technology Research Institute, Taiwan. He was an American Society for Engineering Educaton/National Research Council Faculty Research Fellow at US Air Force Research Laboratory in Dayton, OH, USA. He worked at various R&D posts for highend magnetic disk storage devices with IBM and Hitachi Global Storage Technologies in San Jose, California, USA. Recipient of American Socitey of Mechanical Engineers-Information Storage and Processing Systems (ASME-ISPS) Divion’s Distinguished Institution Award, Outstanding Contribution Award, and Ministry of Seicence and Technology‘s Outstanding Research Award, Dr. Chang, was the Division Chair of ASME-ISPS Division, and Vice Chair of Strategic Planning Committee. Dr. Chang is a Member of Technical Committee of IEEE Magnetics Society and has served as TE and AE of IEEE/ASME Transactions on Mechatronics, ASME Journal of Vibration and Acoustics, and Springer Journal of Microsystems Technologies, Journal of Mechanical Science and Technology, and Elsevier Journal of Mechatronics. Dr. Chang is a Fellow of ASME.

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Chen, B., Chang, JY. Hybrid modeling for smart roller leveling in precision magnetic scale manufacturing. J Mech Sci Technol 35, 1881–1891 (2021). https://doi.org/10.1007/s12206-021-0407-5

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  • DOI: https://doi.org/10.1007/s12206-021-0407-5

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