Department of Biological Sciences, XinZhou Normal University, Xinzhou, Shanxi, PR China.
PLoS One. 2023 Oct 12;18(10):e0292815. doi: 10.1371/journal.pone.0292815. eCollection 2023.
Controlling the deformation rate is the key to improving the product quality of engineered wood flooring. In this work, the changes in the deformation rate of engineered wood flooring were in focus with cold-pressing, response surface methodology, and adaptive network-based fuzzy inference system were used to explore the relationship between deformation rate and processing parameters, including adhesive spreading rate, pressing time, and pressing pressure. According to the results, the deformation rate was positively related to pressing time, while it increased first and then decreased with both the increase of adhesive spreading rate and pressing pressure. Meanwhile, a mathematical model was developed, and the significant influence of each term on the deformation rate was analyzed. This model had high feasibility and can be used to describe the relationship between the deformation rate and processing parameters. Furthermore, an adaptive network-based fuzzy inference system model was established. It has higher accuracy than that of the response surface methodology model, and it can be used for predicting deformation rate and optimizing processing parameters. Finally, an optimal processing conditions with the lowest deformation rate was determined as follows: 147 g/m2 adhesive spreading rate, 12s pressing time, and 1.2 MPa pressing pressure, and it hope to be adopted in the industrial processing of engineered wood flooring with respective of the higher product quality and lower production costs.
控制变形速率是提高工程木地板产品质量的关键。在这项工作中，重点研究了工程木地板的变形速率变化，使用冷压、响应面法和自适应网络模糊推理系统来探索变形速率与加工参数（包括胶黏剂涂胶率、压延时间和压延压力）之间的关系。结果表明，变形速率与压延时间呈正相关，而随着胶黏剂涂胶率和压延压力的增加，变形速率先增加后减少。同时，建立了数学模型，并分析了每个项对变形速率的显著影响。该模型具有较高的可行性，可用于描述变形速率与加工参数之间的关系。此外，建立了自适应网络模糊推理系统模型，其精度高于响应面法模型，可用于预测变形速率和优化加工参数。最后，确定了具有最低变形速率的最佳加工条件为：胶黏剂涂胶率 147g/m2、压延时间 12s、压延压力 1.2MPa，希望在工程木地板的工业加工中采用该条件，以获得更高的产品质量和更低的生产成本。
