Vol. 92
Latest Volume
All Volumes
PIERM 115 [2023] PIERM 114 [2022] PIERM 113 [2022] PIERM 112 [2022] PIERM 111 [2022] PIERM 110 [2022] PIERM 109 [2022] PIERM 108 [2022] PIERM 107 [2022] PIERM 106 [2021] PIERM 105 [2021] PIERM 104 [2021] PIERM 103 [2021] PIERM 102 [2021] PIERM 101 [2021] PIERM 100 [2021] PIERM 99 [2021] PIERM 98 [2020] PIERM 97 [2020] PIERM 96 [2020] PIERM 95 [2020] PIERM 94 [2020] PIERM 93 [2020] PIERM 92 [2020] PIERM 91 [2020] PIERM 90 [2020] PIERM 89 [2020] PIERM 88 [2020] PIERM 87 [2019] PIERM 86 [2019] PIERM 85 [2019] PIERM 84 [2019] PIERM 83 [2019] PIERM 82 [2019] PIERM 81 [2019] PIERM 80 [2019] PIERM 79 [2019] PIERM 78 [2019] PIERM 77 [2019] PIERM 76 [2018] PIERM 75 [2018] PIERM 74 [2018] PIERM 73 [2018] PIERM 72 [2018] PIERM 71 [2018] PIERM 70 [2018] PIERM 69 [2018] PIERM 68 [2018] PIERM 67 [2018] PIERM 66 [2018] PIERM 65 [2018] PIERM 64 [2018] PIERM 63 [2018] PIERM 62 [2017] PIERM 61 [2017] PIERM 60 [2017] PIERM 59 [2017] PIERM 58 [2017] PIERM 57 [2017] PIERM 56 [2017] PIERM 55 [2017] PIERM 54 [2017] PIERM 53 [2017] PIERM 52 [2016] PIERM 51 [2016] PIERM 50 [2016] PIERM 49 [2016] PIERM 48 [2016] PIERM 47 [2016] PIERM 46 [2016] PIERM 45 [2016] PIERM 44 [2015] PIERM 43 [2015] PIERM 42 [2015] PIERM 41 [2015] PIERM 40 [2014] PIERM 39 [2014] PIERM 38 [2014] PIERM 37 [2014] PIERM 36 [2014] PIERM 35 [2014] PIERM 34 [2014] PIERM 33 [2013] PIERM 32 [2013] PIERM 31 [2013] PIERM 30 [2013] PIERM 29 [2013] PIERM 28 [2013] PIERM 27 [2012] PIERM 26 [2012] PIERM 25 [2012] PIERM 24 [2012] PIERM 23 [2012] PIERM 22 [2012] PIERM 21 [2011] PIERM 20 [2011] PIERM 19 [2011] PIERM 18 [2011] PIERM 17 [2011] PIERM 16 [2011] PIERM 14 [2010] PIERM 13 [2010] PIERM 12 [2010] PIERM 11 [2010] PIERM 10 [2009] PIERM 9 [2009] PIERM 8 [2009] PIERM 7 [2009] PIERM 6 [2009] PIERM 5 [2008] PIERM 4 [2008] PIERM 3 [2008] PIERM 2 [2008] PIERM 1 [2008]
2020-05-11
Temperature Control of Rubber Composites by Adaptive Multi-Dimensional Taylor Network During Microwave Heating Process
By
Progress In Electromagnetics Research M, Vol. 92, 115-125, 2020
Abstract
Microwave technology has been widely used in rubber industry. In order to solve the problem of uneven temperature distribution, a novel control method of adaptive multi-dimensional Taylor network combined with Cuckoo Search is proposed in this paper. The adaptive multi-dimensional Taylor network control method is used to obtain the suitable output powers and phase difference under unknown system parameters. Cuckoo Search algorithm is utilized to optimize the whole situation and find the best fit input variables at sampling points. To verify the proposed control strategy, the dielectric permittivity of nitrile butadiene rubber composites is measured, and the control process is simulated based on measured values. The simulation results show that the proposed method can well control the temperature rising process with little difference between the average temperature and reference trajectory.
Citation
Shanliang Zhu Chengcheng Li Yi Yang Qingling Li , "Temperature Control of Rubber Composites by Adaptive Multi-Dimensional Taylor Network During Microwave Heating Process," Progress In Electromagnetics Research M, Vol. 92, 115-125, 2020.
doi:10.2528/PIERM20020402
http://www.jpier.org/PIERM/pier.php?paper=20020402
References

1. Makul, N. and P. Rattanadecho, "Microwave pre-curing of natural rubber-compounding using a rectangular wave guide," International Communications in Heat and Mass Transfer, Vol. 37, No. 7, 914-923, 2010.

2. Keangin, P., U. Narumitbowonkul, and P. Rattanadecho, "Analysis of temperature profile and electric field in natural rubber glove due to microwave heating: Effects of waveguide position," Conference Series: Materials Science and Engineering, Vol. 297, No. 1, 12-37, 2018.

3. Sombatsompop, N. and C. Kumnuantip, "Comparison of physical and mechanical properties of NR/carbon black/reclaimed rubber blends vulcanized by conventional thermal and microwave irradiation methods," Journal of Applied Polymer Science, Vol. 100, No. 6, 5039-5048, 2006.

4. Chen, H. L., et al., "Experimental study of temperature distribution in rubber material during microwave heating and vulcanization process," Heat and Mass Transfer, Vol. 53, No. 3, 1051-1060, 2017.

5. Chen, H. L., et al., "Experimental and numerical modeling research of rubber material during microwave heating process," Heat and Mass Transfer, Vol. 54, No. 5, 1289-1300, 2018.

6. Chen, H. L., et al., "Experimental investigation of technological conditions and temperature distribution in rubber material during microwave vulcanization process," Journal of Thermal Analysis and Calorimetry, Vol. 130, No. 3, 2079-2091, 2017.

7. Landini, L., S. G. Araújo, A. B. Lugão, and H. Wiebeck, "Preliminary analysis to BIIR recovery using the microwave process," European Polymer Journal, Vol. 43, No. 6, 2725-2731, 2007.

8. Campañone, L. A. and N. E. Zaritzky, "Mathematical analysis of microwave heating process," Journal of Food Engineering, Vol. 69, No. 3, 359-368, 2005.

9. Mishra, R. R. and A. K. Sharma, "Microwave-material interaction phenomena: Heating mechanisms, challenges and opportunities in material processing," Composites Part A: Applied Science and Manufacturing, Vol. 81, 78-91, 2016.

10. Chandrasekaran, S., S. Ramanathan, and T. Basak, "Microwave material processing - A review," AIChE Journal, Vol. 58, No. 2, 330-363, 2012.

11. Agrawal, D., "Latest global developments in microwave materials processing," Materials Research Innovations, Vol. 14, No. 1, 3-8, 2010.

12. Huang, L. H. and J. Sites, "Automatic control of a microwave heating process for in-package pasteurization of beef frankfurters," Journal of Food Engineering, Vol. 80, 226-233, 2007.

13. Akkari, E., S. Chevallier, and L. Boillereaux, "Global linearizing control of MIMO microwave-assisted thawing," Control Engineering Practice, Vol. 17, No. 1, 39-47, 2009.

14. Li, J., et al., "Temperature control during microwave heating process by sliding mode neural network," Drying Technology, Vol. 34, No. 2, 215-226, 2016.

15. Li, J., et al., "Combining sliding mode neural network with Cuckoo Search to make a uniform microwave heating process," International Journal of Applied Electromagnetic and Mechanics, Vol. 49, No. 1, 61-77, 2015.

16. Han, Y. Q. and H. S. Yan, "Adaptive multi-dimensional Taylor network tracking control for SISO uncertain stochastic non-linear systems," IET Control Theory & Applications, Vol. 12, No. 8, 1107-1115, 2018.

17. Yan, H. S., Y. Q. Han, and Q. M. Sun, "Optimal output-feedback tracking of SISO stochastic nonlinear systems using multi-dimensional Taylor network," Transactions of the Institute of Measurement and Control, Vol. 40, No. 10, 3049-3058, 2018.

18. Han, Y. Q., "Adaptive tracking control of nonlinear systems with dynamic uncertainties using neural network," International Journal of Systems Science, Vol. 49, No. 7, 1391-1402, 2018.

19. Yan, H. S. and A. M. Kang, "Asymptotic tracking and dynamic regulation of SISO non-linear system based on discrete multi-dimensional Taylor network," IET Control Theory & Applications, Vol. 11, No. 10, 1619-1626, 2017.

20. Ayappa, K. G., et al., "Microwave heating: An evaluation of power formulations," Chemical Engineering Science, Vol. 46, No. 4, 1005-1016, 1991.

21. Fabri, S. G. and V. Kadirkamanathan, Functional Adaptive Control: An Intelligent Systems Approach, Springer-Verlag, London, 2001.

22. Yang, X. S. and S. Deb, "Engineering optimisation by cuckoo search," International Journal of Mathematical Modeling and Numerical Optimisation, Vol. 1, No. 4, 330-343, 2010.