Implementation of Fuzzy logic in tyre industry
Keywords:
fuzzy logic simulation, smart curing, bladder lifetime predictionAbstract
The article presents the theoretical foundations of fuzzy logic and details its application in specific processes in the rubber industry. Two case studies (membrane life optimization and press tool temperature control) demonstrate step-by-step the implementation of fuzzy systems and their potential results. With the help of MATLAB Simulink, it was possible to simulate the improvement of the efficiency of production processes, a significant reduction of the scrap rate and the optimization of costs.
References
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353.
Smith, J., & Brown, L. (2018). Thermal variability in vulcanization processes. Journal of Rubber Research, 21(2), 145–158.
Lee, C. C. (1990). Fuzzy logic in control systems: Fuzzy logic controller. IEEE Transactions on Systems, Man, and Cybernetics, 20(2), 404–418.
Novak, V., Perfilieva, I., & Mockor, J. (2012). Mathematical Principles of Fuzzy Logic. Springer.
Ross, T. J. (2010). Fuzzy Logic with Engineering Applications (3rd ed.). John Wiley & Sons.
Mamdani, E. H., & Assilian, S. (1975). An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies, 7(1), 1–13.
Lee, C. C. (1996). Fuzzy logic in home appliances: Applications and benefits. Appliance Automation Journal, 4(1), 22–30.
Concepts and Fuzzy Logic edited by Radim Belohlavek and George J. Klir (The MIT Press,Cambridge-Massachusetts,London-England)
Research on Fuzzy Adaptive PID Control Algorithm Based on Siemens PLCSIM- Chengwu Lina , Miao Liub , Jianguang Zhuc Department of Information Science and Engineering Shenyang University of Technology Shenyang, China 110870
PID plus fuzzy controller structures as a design base for industrial applications - Leonid Reznik, Omar Ghanayem, Anna Bourmistrov
A New Approach of the Online Tuning Gain Scheduling Nonlinear PID Controller Using Neural- Ho Pham Huy ANH and Nguyen Thanh Nam
Dynamic Simulation of the Tire Curing Process. Tire Science and Technology- Han, In-Su & Chung. 24. 50-76. 10.2346/1.2137512. (1996)
Optimal cure steps for product quality in a tire curing process- In‐Su Han , Chang‐Bock Chung, Hyeong‐Gwan Jeong, Sung‐Ju Kang, Seung‐Jai Kim, Ho‐Chul Jung (First published: 22 September 1999)

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