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      Continuous Flat Pressing of MDF Quality Control Model Framework and Collaborative Programming Approach Based on Wood Fiber Hot Pressing Mechanism

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          Abstract

          The increasing demand for forestry resources is driving the need for smarter systems capable of saving and protecting forests that can optimize agile forestry production. This study uses the continuous hot-pressing process of wooden medium-density fiberboard (MDF) to investigate the possibility of automatic quality control of the continuous flat pressing process. For this purpose, conceptual digital twin modeling for mechanism and sequence parameter control was conducted based on the cellular automata (CA) theory. A distributed coordination mode framework was constructed, and a craft control programming method was proposed for the quality control of MDF continuous flat pressing. Based on the MDF continuous flat press craft mechanism and control standards, a framework of five distributed flat press cooperative control mode elements for the cylinder array of the continuous panel system (CPS) was defined. To satisfy the distributed distance servo and pressure servo demands of the multi-stage hot pressing craft design, five kinds of synergy collaborative control modes of multiple rack groups were constructed using mode elements: For the four types of typical deviations in slab production, i.e., thickness, slope, depression, and bulge, a multi-zone mutual cooperative mode craft control sequence was programmed. According to the type and intensity of real-time deviation, the corresponding regulation sequence was applied. This effectively counteracts the deviation caused by the uncertainty interference due to the multi-field coupling effect in actual production. The application tests demonstrate that the adjustment and response time of the continuous flat press were greatly improved, and the quality superiority rate is controlled above 95%, thereby confirming the effectiveness of the control strategy.

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          Most cited references20

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          Leader-Following Consensus of Nonlinear Multiagent Systems With Stochastic Sampling

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            Finite-Time $\mathcal{L}_{2}$ Leader–Follower Consensus of Networked Euler–Lagrange Systems With External Disturbances

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              Quality Control of the Continuous Hot Pressing Process of Medium Density Fiberboard Using Fuzzy Failure Mode and Effects Analysis

              In this paper, a fuzzy failure mode and effects analysis (FMEA) method is proposed by combining fault theory and a failure analysis method. The method addresses the problem of board thickness control failure and the problem of thickness deviation defect blanking, which can occur during continuous hot pressing (CHP) process, which is one of the most important processes in the production of medium-density fiberboard (MDF). The method combines the fault analysis with the Hamming code method and using the Hamming code to calculate and represent the cylinder array of the continuous hot-pressed thickness control execution unit to analyze and process the potential fixed thickness failure modes in MDF hot press production, and then summarizes the decision rules for controlling the board thickness and the level of sheet deviation. By combining the fuzzy FMEA method of the Hamming code and the logical OR operation of the experimental analysis, the method of thickness deviation and recognition control fault information for the CHP of MDF, which is proposed in this paper, permits the increase of the number of error levels, which makes optimization for controller more convenient and improves the efficiency to recognize errors.
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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                26 April 2022
                2022
                : 13
                : 851219
                Affiliations
                College of Information and Computer Engineering, Northeast Forestry University , Harbin, China
                Author notes

                Edited by: Houbing Song, Embry-Riddle Aeronautical University, United States

                Reviewed by: Qinglei Hu, Beihang University, China; Liping Cai, University of North Texas, United States; YANNING GUO, Harbin Institute of Technology, China

                *Correspondence: Yaqiu Liu yaqiuliu@ 123456nefu.edu.cn

                This article was submitted to Sustainable and Intelligent Phytoprotection, a section of the journal Frontiers in Plant Science

                Article
                10.3389/fpls.2022.851219
                9087637
                35557743
                f1461619-9eb9-4bdb-9a5d-26dd5a3b3c8a
                Copyright © 2022 Lv, Liu and Jing.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 09 January 2022
                : 14 March 2022
                Page count
                Figures: 18, Tables: 5, Equations: 24, References: 20, Pages: 17, Words: 7991
                Funding
                Funded by: National Natural Science Foundation of China, doi 10.13039/501100001809;
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                wood fiber hot-pressing mechanism,mdf,sequence parameter control,conceptual digital twin modeling,optimization of agile forestry production,precision control

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