journal article·2021-12-28Open access

Energy Efficient, Highly Precise Cascade Dryness Control for Fibrous Tape by Induction-Based Surface Heating of a Rotating Steel Cylinder with Moving Inductors

Jacek Kucharski, Andrzej Fraczyk, Piotr Urbanek

Applied Sciences· Volume 12· Issue 1

Abstract

Drying various materials constitutes an essential component of several industrial processes, e.g., paper production. Typically, rotating cylinders heated internally by water steam are used for drying tape-shaped material in paper-making machines. Such an approach remains very energy-consuming, while the whole process is expensive and in conflict with the global policy of reducing energy consumption in heavy industry. One promising alternative method of drying fibrous tapes is the induction heating of drying cylinders. In this paper, we propose a drying system based on a set of inductors (electromagnetic field sources) that generate energy in the mantle of the cylinder and dry the running tape. By enabling the movement of the inductors, the system provides a high level of flexibility in terms of reacting to the varying humidity of the tape. Additionally, imaging the temperature field on the cylinder surface provides a supplementary source of information, enabling the temperature profile to be controlled. Two types of humidity control systems, a one-loop feedback control and a cascade control, were designed and analyzed. Simulation analysis and experimental verification performed using a semi-industrial setup proves that using the proposed cascade control ensures more than 30% faster response of the whole dryness control system.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Laser and Thermal Forming Techniques · Induction Heating and Inverter Technology · Heat Transfer and Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Applied Computer Science, Lodz University of Technology, 90-537 Lodz, Poland

References (38)

Show source-provided references
1. Chen, X., Zheng, Q., and Dong, Y. (2021). Theoretical Estimation of Evaporation Heat in Paper Drying Process Based on Drying Curve. Processes, 9.10.3390/pr9071117 ↗
2. Application of Time-Domain Reflectometry for Measurement of Moisture Profiles in a Drying Experiment10.1007/s10765-011-1020-0 ↗
3. Slätteke, O., and Åström, K.J. (2005, January 8–10). Modeling of a Steam Heated Rotating Cylinder—A Grey-Box Approach. Proceedings of the American Control Conference, Portland, OR, USA.
4. Ren, D., Yao, J., and Wang, Y. (2005). Dryer Surface Temperature Control System Based on Improved Self-Adaptive Fuzzy Smith Prediction Controller, IEEE/IET Electronic Library (IEL).
5. Numerical and experimental thermal analysis for a metallic hollow cylinder subjected to step-wise electro-magnetic induction heating10.1016/j.applthermaleng.2006.12.025 ↗
6. Experimental and numerical studies of natural convection from horizontal concreto cylinder heated with a cylindrical heat source10.1016/j.icheatmasstransfer.2009.11.010 ↗
7. Numerical analysis and thermographic investigation of induction heating10.1016/j.ijheatmasstransfer.2010.04.030 ↗
8. Numerical Simulation of Coupled Transient Thermal and Electromagnetic Fields with the Finite Integration Method10.1109/20.877711 ↗
9. Transient, combined conduction and radiation in an absorbing, emitting, and isotropically scattering solid cylinder10.1063/1.341389 ↗
10. Barglik, J., Smagór, A., Smalcerz, A., and Desisa, D.G. (2021). Induction Heating of Gear Wheels in Consecutive Contour Hardening Process. Energies, 14.10.3390/en14133885 ↗
11. Simplified simulation technique of rotating, induction heated, calender rolls for study of temperature field control10.1515/phys-2018-0045 ↗
12. Design and Control of Drum Dryers for the Food Industry. Part 1. Set-Up of a Moisture Sensor and an Inductive Heater10.1016/0260-8774(95)00053-4 ↗
13. Kochan, O., Kochan, R., Bojko, O., and Chyrka, M. (2007, January 6–8). Temperature Measurement System Based on Thermocouple with Controlled Temperature Field. Proceedings of the IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Dortmund, Germany.10.1109/IDAACS.2007.4488370 ↗
14. Li, F., Ning, J., and Liang, S.Y. (2019). Analytical Modeling of the Temperature Using Uniform Moving Heat Source in Planar Induction Heating Process. Appl. Sci., 9.10.3390/app9071445 ↗
15. 3D temperature fi eld analysis of the induction motors with brokenbar fault10.1016/j.applthermaleng.2014.02.008 ↗
16. Silver, D., Salmon, R., Barbieri, E., and Drakunov, S. (1998, January 24–26). Towards an Integrated Welding Testbed: Temperature Field Control. Proceedings of the American Control Conference, Philadelphia, PA, USA.10.1109/ACC.1998.703564 ↗
17. Chy, M.I., and Boulet, B. (2010, January 3–7). A New Method for Estimation and Control of Temperature Profile over a Sheet in Thermoforming Process. Proceedings of the IEEE Industry Applications Society Annual Meeting, Houston, TX, USA.10.1109/IAS.2011.6074342 ↗
18. Temperature regulation and tracking in a MIMO system with a mobile heat source by LQG control with a low order model10.1016/j.conengprac.2012.11.001 ↗
19. Measurement of the temperature distribution on a circular plane fin by infrared thermography technique10.1016/j.applthermaleng.2003.11.001 ↗
20. Convective heat transfer analysis in aggregates rotary drum reactor10.1016/j.applthermaleng.2013.01.025 ↗
21. Improvement of building wall surface temperature measurements by infrared thermography10.1016/j.infrared.2005.01.001 ↗
22. Temperature maps measurements on 3D surfaces with infrared thermography10.1007/s00348-011-1225-9 ↗
23. Johnson, M.A., and Moradi, M.H. (2005). PID Control. New Identification and Design Methods, Springer.10.1007/1-84628-148-2 ↗
24. Wang, L. (2020). PID Control System Design and Automatic Tuning Using MATLAB/Simulink, Wiley-IEEE Press.10.1002/9781119469414 ↗
25. Matamoros, M., Carlos, J., Álvaro, G.B., Sánchez, J., Mancha, E., Marcos, A.C., Carrasco-Amador, J.P., and Pagador, J.B. (2020). Temperature and Humidity PID Controller for a Bioprinter Atmospheric Enclosure System. Micromachines, 11.10.3390/mi11110999 ↗
26. Xiong, S., Wu, Z., Li, W., Li, D., Zhang, T., Lan, Y., Zhang, X., Ye, S., Peng, S., and Han, Z. (2021). Improvement of Temperature and Humidity Control of Proton Exchange Membrane Fuel Cells. Sustainability, 13.10.3390/su131910578 ↗
27. Kochan, O., Sapojnyk, H., and Kochan, R. (2013, January 12–14). Temperature Field Control Method Based on Neural Network. Proceedings of the 7th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Berlin, Germany.10.1109/IDAACS.2013.6662632 ↗
28. Vasylkiv, N., Kochan, O., Kochan, R., and Chyrka, M. (2009, January 21–23). The Control System of the Profile of Temperature Field. Proceedings of the IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, Rende, Italy.10.1109/IDAACS.2009.5342994 ↗
29. Surface temperature control of a rotating cylinder heated by moving inductors10.1016/j.applthermaleng.2017.07.025 ↗
30. Design and control of drum dryers for the food industry. Part 2. Automatic control10.1016/0260-8774(95)00054-2 ↗
31. Bai, X., Zhang, H., and Wang, G. (2014). Modeling of the Moving Induction Heating Used as Secondary Heat Source in Weld-Based Additive Manufacturing, Springer.10.1007/s00170-014-6475-2 ↗
32. Modelling the Continuous Drying of a Thin Sheet of Fibres on a Cylinder Heated by Electric Induction10.1002/cjce.5450790616 ↗
33. Numerical and experimental investigation of induction heating process of heavy cylinder10.1016/j.applthermaleng.2018.01.101 ↗
34. Thermal analysis of moving induction heating of a hollow cylinder with subsequent spray cooling: Effect of velocity, initial position of coil, and geometry10.1016/j.apm.2011.11.058 ↗
35. Numerical simulation of a thermo-electromagneto-hydrodynamic problem in an induction heating furnace10.1016/j.apnum.2008.12.005 ↗
36. Unique Computer Modeling Approaches for Simulation of Induction Heating and Heat-Treating Processes10.1007/s11665-013-0564-5 ↗
37. Feasibility Study of Density-Independent Moisture Measurement with Microwaves10.1109/TMTT.1981.1130436 ↗
38. Mikleš, J., and Fikar, M. (2007). Process Modelling, Identification, and Control, Springer.