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Modeling and Analysis of Temperature Compensation for Multi-temperature Zone Sintering Furnace Temperature Sensing

  • Control Theory and Applications
  • Published:
International Journal of Control, Automation and Systems Aims and scope Submit manuscript

Abstract

The surface temperature of workpieces in a multi-temperature zone sintering furnace is an important parameter to characterize the performances of a multi-temperature zone system. Due to the practical structural properties of the sintering furnace, however, the conventional way of temperature measurement cannot detect the exact surface temperature of the workpieces directly, making it difficult to control the multi-temperature zone system performances precisely. To address such an issue, this paper proposes, for the first time to the best of our knowledge, a temperature compensation algorithm based soft-measurement technique to compensate for the temperature of the measuring points. Specifically, we analyze the heat-transfer mechanism within the electric heating surface and the workpiece surface and establish a mathematical model for it first, and then calculate the radiative heat transfer coefficient between the diffuse gray surface within sintering furnace using the discrete radiation heat transfer method. Finally, the heat transfer mechanism based soft measurement technique is proposed and applied to compensate for the temperature. Both simulations and experiments with a practical sintering furnace are conducted to verify the correctness and effectiveness of the proposed temperature compensation algorithm in different cases. Results show that the proposed algorithm could help maintain the temperature difference within a range limit of ±5°, which is much better as compared with the conventional temperature measurement methods.

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Author information

Authors and Affiliations

  1. School of automation, Northwestern Polytechnical University, No.1 Dongxiang Road, Chang’an District, Xi’an City, China

    Xiaoyue Sang, Zhaohui Yuan, Xiaojun Yu, Muhammad Tariq Sadiq & Na Liang

  2. Department of Mechatronics Engineering, Air University, E-9, Islamabad, Pakistan

    Noman Naseer

  3. School of Electrical and Electronic Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore, Singapore

    GaoXi Xiao

Authors
  1. Xiaoyue Sang
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  2. Zhaohui Yuan
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  3. Xiaojun Yu
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  4. Muhammad Tariq Sadiq
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  5. Na Liang
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  6. Noman Naseer
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  7. GaoXi Xiao
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Corresponding authors

Correspondence to Zhaohui Yuan or Xiaojun Yu.

Additional information

This study was supported in part by the Natural Science Basic Research Plan in Shaanxi Province of China (Grant No. 2018JQ6014), the Fundamental Research Funds for the Central Universities (Grant No. G2018KY0308), China Postdoctoral Science Foundation (Grant No. 2018M641013), the seed foundation of Innovation and Creation for Graduate students in Northwestern Polytechnical University (Grant No. ZZ2019028).

Xiaoyue Sang is a Ph.D. scholar in Northwestern Polytechnical University, Xi’an, China. She has received her B.S. and M.S. degrees both in control engineering from North China Institute of Arepspace Engineering and Xi’an Technological University, in 2014 and 2018, respectively. Her research interests include intelligent systems and temperature field analysis.

Zhaohui Yuan received his B.S., M.S. and Ph.D. degrees in control engineering from Northwestern Polytechnical University, China, in 1984, 1987 and 2005, respectively. He has been with the Northwestern Polytechnical University, Xi’an, China and worked as teaching assistant, lecturer, associate professor and professor since 1987. He has coauthored more than 50 papers in technical journals and conferences. He is a fellow of the Shaanxi Association for Science and Technology. His research interests include high-precision detection instrumentation and system control engineering, hydraulic system control and test, flow field analysis of the hydraulic systems.

Xiaojun Yu received his Ph.D. degree from Nanyang Technological University, Singapore in 2015. From Jan. 2015 to Aug. 2017, he worked as a postdoctoral research fellow at the same University. He is currently an associate professor with Northwestern Polytechnical University, China. His main research interests include optical imaing and detection technologies, high-resolution optical coherence tomography and its imaging applications.

Muhammad Tariq Sadiq is a Ph.D. scholar supported with Chinese Government Scholarship at Northwestern Polytechnical University, Xi’an, China and working as an Assistant Professor at Electrical Engineering Department of The University of Lahore. He has received his B.Sc. with (Hons.) and M.Sc. degrees both in electrical engineering from Comsats Institute of Information Technology, Lahore, Pakistan and Blekinge Institute of Technology, Sweden, in the year 2009 and 2011 respectively. He is the recipient of NTS merit scholarship (presently known as Prime Minister’s National ICT Scholarship Program) during his B.Sc. degree. His Master thesis was awarded highest grade according to the ECTS system. Previously he was an Assistant Professor at the Sharif College of Engineering & Technology (SCET) which is affiliated with the University of Engineering & Technology, Lahore and Lecturer at the University of South Asia. He was also Project Manager at SCET to manage final year student’s projects, Patron of IEEE-SCET Student Branch. His research interests include biomedical signal analysis and classification.

Na Liang is a Ph.D. scholar in Northwestern Polytechnical University, Xi’an, China. She received her B.S. and M.S. degrees both in control engineering from Wuhan University Of Technology and Northwestern Polytechnical University, in 2009 and 2019, respectively. Her research interests include intelligent systems and temperature field analysis.

Noman Naseer is a senior member of IEEE and the Head of the Neurorobotics Research Group at Air University, Islamabad. He received his B.S., M.S., and Ph.D. degrees in mechatronics engineering. He has published more than 75 peer-reviewed papers. He has served as a reviewer of more than 80 SCI(E) indexed journals, and is serving as an Associate Editor of 5 SCI(E) indexed journals. His research interests include rehabilitation robotics, biorobotics, neurorobotics, artificial intelligence, and machine learning.

GaoXi Xiao received his B.S. and M.S. degrees in applied mathematics from Xidian University, Xi’an, China, in 1991 and 1994, respectively, and a Ph.D. degree in computing from The Hong Kong Polytechnic University, in 1998. He was an Assistant Lecturer at Xidian University, from 1994 to 1995. He was a Postdoctoral Research Fellow with Polytechnic University, Brooklyn, NY, USA, in 1999, and a Visiting Scientist with the University of Texas at Dallas, from 1999 to 2001. He joined the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, in 2001, where he is currently an Associate Professor. His research interests include complex systems and complex networks, communication networks, smart grids, and system resilience and risk management. He served/serves as an Associate Editor or a Guest Editor for the IEEE Transactions on Network Science and Engineering, PLOS One, and Advances in Complex Systems, and as a TPC Member for numerous conferences, including the IEEE ICC and the IEEE GLOBECOM.

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Sang, X., Yuan, Z., Yu, X. et al. Modeling and Analysis of Temperature Compensation for Multi-temperature Zone Sintering Furnace Temperature Sensing. Int. J. Control Autom. Syst. 19, 2431–2443 (2021). https://doi.org/10.1007/s12555-019-0992-6

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  • DOI: https://doi.org/10.1007/s12555-019-0992-6

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