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Web Tension regulation of multispan roll-to-roll system using integrated active dancer and load cells for printed electronics applications

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Abstract

The mass production of printed electronics can be achieved by roll-to-roll(R2R) printing system, so highly accurate web tension is required that can minimize the register error and keep the thickness and roughness of printed devices in limits. The web tension of a R2R system is regulated by the use of integrated load cells and active dancer system for printed electronics applications using decentralized multi-input-single-output(MISO) regularized variable learning rate backpropagation artificial neural networks. The active dancer system is used before printing system to reduce disturbances in the web tension of process span. The classical PID control result in tension spikes with the change in roll diameter of winder and unwinder rolls. The presence of dancer in R2R system shows that improved web tension control in printing span and the web tension can be enhanced from 3.75 N to 4.75 N. The overshoot of system is less than ±2.5 N and steady state error is within ±1 N where load cells have a signal noise of ±0.7 N. The integration of load cells and active dancer with self-adapting neural network control provide a solution to the web tension control of multispan roll-to-roll system.

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References

  1. KHAN A, RAHMAN K, KIM D S, et al. Direct printing of copper conductive micro-tracks by multi-nozzle electrohydrodynamic inkjet printing process[J]. J Mater Process Tech, 2012, 212:700–706.

    Article  Google Scholar 

  2. KHAN S, DOH Y H, KHAN A, et al. Direct patterning and electrospray deposition through EHD for fabrication of printed thin film transistors[J]. Curr Appl Phys, 2011, 11:S271–S279.

    Article  Google Scholar 

  3. WANG Y, SUN X W, GOH G K L, et al. Influence of channel layer thickness on the electrical performances of inkjet-printed In-Ga-Zn Oxide thin-film transistors[J]. IEEE T Electron Dev, 2011, 99:1–6.

    Google Scholar 

  4. LEE C, KANG H, KIM C, et al. A novel method to guarantee the specified thickness and surface roughness of the roll-to-roll printed patterns using the tension of a moving substrate[J]. J Microelectromech S, 2010, 19(5):1243–1253.

    Article  MathSciNet  Google Scholar 

  5. LEE C, LEE J, KANG H, et al. A study on the tension estimator by using register error in a printing section of roll-to-roll e-printing systems[J]. J Mech Sci Technol, 2009, 23(1):212–220.

    Article  Google Scholar 

  6. SAKAMOTO T. Decentralized controller design of web tension control system in terms of interactions[C]//Proceedings of the IEEE International Symposium on Industrial Electronics, ISIE, 1999, 3: 1466–1471.

    Google Scholar 

  7. HOU Y, GAO Z, JIANG F, et al. Active disturbance rejection control of web tension regulation[C]//IEEE Conference on Decision and Control, 2001, 5: 4974–4979.

    Google Scholar 

  8. LIU W, DAVISON E. Servomechanism controller design of web handling systems[J]. IEEE T Contr Syst T, 2002, 11(4):555–564.

    Google Scholar 

  9. COCKRELL W. Electronic register control for multicolor printing[J]. Transactions of the AIEE, 1946, 65(8):617–622.

    Google Scholar 

  10. TRAN T T, CHOI K H, CHANG D E, et al. Web tension and velocity control of two-span roll-to-roll system for printed electronics[J]. J Adv Mech Des Syst, 2011, 5(4):329–346.

    Google Scholar 

  11. CHOI K H, TRAN T T, KIM D S. Back-stepping controller based web tension control for roll-to-toll web printed electronics system[J]. J Adv Mech Des Syst, 2011, 5(1):7–21.

    Google Scholar 

  12. CHOI K H, TRAN T T, SU Y B, et al. An new approach for intelligent control system design using the modified genetic algorithm[J]. Int. J. Intelligent Systems Technologies and Applications, 2010, 9(3):300–315.

    Article  Google Scholar 

  13. CHOI K H, TRAN T T, KIM D S. A precise control algorithm for single-span roll-to-roll web system using the back-stepping controller[C]//IEEE International Symposium on Industrial Electronics ISIE, 2009: 1709–1714.

    Google Scholar 

  14. PONNIAH G, ZUBAIR M, DOH Y H, et al. Fuzzy decoupling to reduce propagation of tension disturbances in roll-to-roll system[J]. Int J Adv Manuf Technol, 2013. DOI 10.1007/s00170-013-5400-4.

    Google Scholar 

  15. CHOI K H, ZUBAIR M, PONNIAH G. Web tension control of multispan roll-to-roll system by artificial neural networks for printed electronics[J]. P I Mech Eng C-J Mec, 2013, 227:2361–2376.

    Article  Google Scholar 

  16. YOSHIDA T, TAKAGI S, MUTO Y, et al. Register control of sectional drive rotogravure printing press[C]//The 41st CIRP Conference on Manufacturing Systems, Tokyo, Japan, 2008: 417–420.

    Google Scholar 

  17. SONG S H, SUL S K. Design and control of multispan tension simulator[J]. IEEE T Ind Appl, 2000, 36(2):640–648.

    Article  Google Scholar 

  18. LEE C W, LEE J W, KIM H J, et al. A feed-forward tension control in drying section of roll-to-roll e-printing system[C]//Proceedings 17th IFAC World Congr., Seoul, Korea, 2008, 17(1).

    Google Scholar 

  19. WANG C, WANG Y, YANG R, et al. Research on precision tension control system based on neural network[J]. IEEE T Ind Electron, 2004, 51(2):381–386.

    Article  Google Scholar 

  20. PAGILLA P R, SIRASKAR N B, DWIVEDULA R V. Decentralized control of web processing lines[J]. IEEE T Contr Syst T, 2007, 15(1):106–117.

    Article  Google Scholar 

  21. KANG C G, LEE B J. MIMO Tension modelling and control for roll-to-roll converting machines[C]// Proceedings of the 17th IFAC World Congress, 2008, 17(1): 11 877–11 882.

    Google Scholar 

  22. CHEN C L, CHANG K M, CHANG C M. Modeling and control of a web-fed machine[J]. Appl Math Model, 2004, 28(10):863–876.

    Article  MATH  Google Scholar 

  23. SAKAMOTO T, FUJINO Y. Modelling and analysis of a web tension control system[C]//Proceedings of the IEEE International Symposium on Industrial Electronics ISIE, 1995, 1: 358–362.

    Article  Google Scholar 

  24. EBLER N A, ARNASON R, MICHAELIS G, et al. Tension control: dancer rolls or load cells[J]. IEEE T Ind Appl, 1993, 29(4):727–739.

    Article  Google Scholar 

  25. LIN K C. Observer-based tension feedback control with friction and inertia compensation[J]. IEEE T Contr Syst T, 2003, 11(1):109–118.

    Article  Google Scholar 

  26. OKADA K, SAKAMOTO T. An adaptive fuzzy control for web tension control system[C]//Proceedings of IEEE, Industrial Electronics Society, IECON, 1998, 3: 1 762–1 767.

    Article  Google Scholar 

  27. VALENZUELA M A, BENTLEY J M, LORENZ R D. Sensorless tension control in paper machines[J]. IEEE T Ind Appl, 2003, 39(2):294–304.

    Article  Google Scholar 

  28. MCDOW B C, RAHN C D. Adaptive web-tension control using a dancer arm[J]. TAPPI J, 1998, 81(10):197–205.

    Google Scholar 

  29. PAGILLA P R, DWIVEDULA R V, ZHU Y, et al. Periodic tension disturbance attenuation in web processing lines using active dancer[J]. J Dyn Syst-T ASME, 2003, 125:361–371.

    Article  Google Scholar 

  30. DWIVEDULA R V, ZHU Y, PAGILLA P R. Characteristics of active and passive dancers: A comparative study[J]. Control Eng Pract, 2005, 14(4):409–423.

    Google Scholar 

  31. LI H X, CHEN C L P. The equivalence between fuzzy logic systems and feedforward neural networks[J]. IEEE T Neural Networ, 2000, 11(2):356–365.

    Article  Google Scholar 

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Correspondence to Kyung Hyun Choi.

Additional information

This project is supported by Basic Science Research Program through the National Research Foundation of Korea(NRF), Ministry of Education, Science and Technology, Korea(Grant No. 2010-0026163), and Strategy Technology Development Project, Ministry of Knowledge Economy, Korea(Grant No. 10032149)

ZUBAIR Muhammad, born in 1984, is currently a PhD candidate at Jeju National University, Korea. He received his BE degree from National University of Sciences and Technology, Pakistan and MS engineering degree from University of Engineering and Technology, Taxila, Pakistan, in 2011.

PONNIAH Ganeshthangaraj, born in 1984, is currently working in Korea Institute of Machinery and Materials, Korea. He received his PhD degree from Jeju National University, Korea, in 2012.

YANG Young Jin, born in 1982, is currently a PhD candidate at Jeju National University, Korea. He received his MS degree from Jeju National University, Korea, in 2012.

CHOI Kyung Hyun, born in 1960, is leading Advanced Micro Mechatronics Lab, Mechatronics Engineering Department, Jeju National University, Jeju, South Korea. He received his BS and MS engineering degrees from Pusan National University and his PhD degree from University of Ottawa, Canada. His research interests are printed electronics systems and devices.

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Zubair, M., Ponniah, G., Yang, Y.J. et al. Web Tension regulation of multispan roll-to-roll system using integrated active dancer and load cells for printed electronics applications. Chin. J. Mech. Eng. 27, 229–239 (2014). https://doi.org/10.3901/CJME.2014.02.229

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  • DOI: https://doi.org/10.3901/CJME.2014.02.229

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