Abstract
The belt conveyor is a key piece of equipment for thermal power plants. Belt mistracking causes higher economic costs, lower production efficiency, and more safety accidents. The existing belt correction devices suffer from poor performance and high costs. Therefore, a design method for coal conveying belt correction devices is proposed in this paper based on fault tree analysis (FTA), quality function deployment (QFD), and inventive problem solving (TRIZ) theory. A user requirement mapping model was constructed to extract five user requirements based on the shortcomings of the existing belt correction devices. Moreover, the FTA model of product characteristics was established to obtain nine key product characteristics by dividing the minimum cut-set. Thus, a QFD model for the belt correction device design was constructed. The relationship matrix R–C relating the user requirements and the product characteristics was deduced based on the binary decision diagram theory to screen the key product characteristics. Furthermore, an innovative design model of the belt correction device was constructed, and the key design elements and contradiction matrix were determined. TRIZ theory was used to resolve the contradictions, and nine novel correction device design schemes were proposed. Finally, the correction performances of the schemes were compared and verified based on the experimental platform, and the final design scheme was determined. The test results showed that the device had good correction performances. The rationality and effectiveness of the innovative design method were verified.
Similar content being viewed by others
References
P.W. Dabek, A. Wodecki et al., Application of the methods of monitoring and detecting the belt mistracking in laboratory conditions. Appl. Sci.-Basel. 13, 4 (2023)
X.X. Sun, Y.Q. Wang, W.J. Meng, Evaluation system of curved conveyor belt deviation state based on the ARIMA-LSTM combined prediction model. Machines. 10, 11 (2022)
D.L. Wang, Research on Active Deviation Correction System of Belt Conveyor. (China University of Mining and Technology, Beijing, 2022)
Z.M. Yin, Z.M. Fan, Study on deviation of conveyor belt based on multi-body dynamics characteristics. J. Mech. Eng. 56, 37–46 (2020)
Q.Y. Chu, G.Y. Meng, X. Fan, Analysis of speed and belt deviation of the conveyor belt. Adv. Mater. Res. 339, 444–447 (2011)
Y. Yanping, Z. Bisheng, Effects of longitudinal vibration of conveyor belt on multi-driving force distribution. J. Vib. Shock. 40, 231–236 (2021)
W.G. Song, Y.S. Deng, L.X. Guo, Simulation of the stopping process of belt conveyor. J. Northeastern Univ. (Natl. Sci.). 23, 996–999 (2020)
W.G. Song, H.L. Chen, Q.L. Li, Y.H. Yang, Simulation of handling impact load of bulk material by EDEM method. J. Northeastern Univ. (Natl. Sci.). 32, 1631–1634 (2011)
X.X. Sun, Y.Q. Wang, Research on automatic deviation correction device and control system for prevent conveyor belt deviation in the curve section. J. Fail. Anal. Prev. 22(6), 2272–2287 (2022)
Y.M. Liu, C.Y. Li, X.G. Xu, Research on deviation detection of belt conveyor based on inspection robot and deep learning. Complexity. 2021, 3734560 (2021)
M.C. Zhang, K. Jiang, Y.S. Cao, M.X. Li, N.N. Hao, Y. Zhang, A deep learning-based method for deviation status detection in intelligent conveyor belt system. J. Clean. Prod. 363, 132575 (2022)
C. Zeng, J.F. Zheng, J.G. Li, Real-time conveyor belt deviation detection algorithm based on multi-scale feature fusion network. Algorithms. 12, 205 (2019)
F. Li, C.H. Chen, C.H. Lee, L.P. Khoo, A user requirement-driven approach incorporating TRIZ and QFD for designing a smart vessel alarm system to reduce alarm fatigue. J. Navig. 73, 212–232 (2020)
F. Zeng, J.J. Song, W.J. Hu, X. Liu, Lateral deviation correction control system for conveyor belt of belt conveyor. Mod. Manuf. Eng. 9, 107-111–117 (2021)
X.Q. Guo, X.H. Liu, H. Zhou, R. Stanislawski, G. Krolczyk, Z.X. Li, Belt tear detection for coal mining conveyors. Micromachines. 13, 449 (2022)
W.Y. Zhou, P. Huang, B. Cai, A Method of Adjusting Conveyor Belt Deviation. China, CN109230352B (2021)
T.H. Wang, Z. Dong, J.Q. Liu, Research of mine conveyor belt deviation detection system based on machine vision. J. Min. Sci. 57, 703–712 (2021)
F. Kazuya, Kanagawa, Belt Monitioing System. US, USOO8330452B2 (2012)
T. Mick, M.M. George, System and Method for Controlling a Conveyor Belt Condition Monitoring System. US, US008657105B2 (2014)
E. Klaus, H. Regina, L. Thomas, W. Johann, Cleaning Apparatus Including Conveying Device and Control Means. US, US10420450B2, 2019-09-24 (2019)
Y. Bai, Q. Ji, X.J. Gao, Research on design optimization of hexapod robot based on TRIZ. J. Inner Mongolia Univ. Technol. (Chin.Ed.). 39, 32–39 (2020)
J.B. Revelle, J.W. Moran, C.A. Cox, The QFD Handbook. (Wiley, Hoboken, 1998)
N. Sen, Y. Baykal, Development of car wishbone using sheet metal tearing process via the theory of inventive problem-solving (TRIZ) method. J. Braz. Soc. Mech. Sci. Eng. 41(10), 390–390 (2019)
S. Oh, B. Cho, D.J. Kim, Development of an exportable modular building system by integrating quality function deployment and TRIZ method. J. Asian Architec. Build. Eng. 16, 535–542 (2017)
T. Kim, H. Lim, K. Ch, Conceptual robot design for the automated layout of building structures by integrating QFD and TRIZ. Int. J. Adv. Manuf. Technol. 120, 1793–1804 (2020)
C. Ke, Z.G. Jiang, S. Zhu, Y. Wang, An integrated design method for remanufacturing process based on performance demand. Int. J. Adv. Manuf. Technol. 118, 849–863 (2022)
R. Baidya, K.D. Prasanta, KGh. Sadhan, P. Konstantinos, Strategic maintenance technique selection using combined quality function deployment, the analytic hierarchy process and the benefit of doubt approach. Int. J. Adv. Manuf. Technol. 94, 31–44 (2018)
L. Xing, Y.X. Hua, Z.N. Zhang, Conceptual design of mechatronics system by integrating EBD and TRIZ. J. Shanghai Jiaotong Univ. (Chin. Ed.). 56, 576–583 (2022)
Z.Q. Wang, Y. Pu, Selection in product plan alternatives based on PPHoQ and stochastic variable. J. Southwest Jiaotong Univ. 57, 776–782 (2022)
Y.X. Feng, Z.C. Song, C. Lu, X.F. Liu, Analysis of comprehensive sensitivity evaluation of aircraft system based on FTA-AHP. J. Northwestern Polytech. Univ. 39, 971–977 (2021)
A. Singh, S. Kumar, Picture fuzzy set and quality function deployment approach based novel framework for multi-criteria group decision making method. Eng. Appl. Artif. Intell. 2021, 104395 (2021)
L.S. Geng, J.G. Xing, X.F. Shi, L.R. Zu, M.Q. Chai, Improved model for generating incremental product innovation schemes. Math. Probl. Eng. 2021, 5516260 (2021)
W.D. Yang, G.Z. Cao, Q.J. Peng, Y.D. Sun, Effective radical innovations using integrated QFD and TRIZ. Comput. Ind. Eng. 162, 107716 (2021)
L. Chen, D. Ho, H. Wei, X.M. Liu, B.W. Chen, Product innovation design based on QFD, TRIZ and bionics. China Mech. Eng. 31, 1285–1295 (2020)
J.J. Lian, Y.Y. Xiao, P.Y. Zhang, H.J. Wang, Y.H. Guo, Innovation and application of TRIZ in bucket foundation installation. Acta Energiae Solaris Sinica. 42, 401–406 (2021)
Acknowledgments
We thank LetPub (www.letpub.com) for its linguistic assistance during the preparation of this manuscript.
Funding
This study was supported by the National Natural Science Foundation of China (No. 51965049), the Key Technology Research Plan of Inner Mongolia Autonomous Region (No. 2021GG0261), and the Program for Innovative Research Team in Universities of Inner Mongolia Autonomous Region (No. NMGIRT2213).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Zhang, X., Wei, Z. Design of Coal Conveying Belt Correction Device Based on FTA-QFD-TRIZ. J Fail. Anal. and Preven. 23, 2519–2532 (2023). https://doi.org/10.1007/s11668-023-01789-3
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11668-023-01789-3