林业工程学报2025，Vol.10Issue(5)：39-46,8.DOI:10.13360/j.issn.2096-1359.202407020
三聚氰胺浸渍纸饰面刨花板钻削轴向力分析
Analysis of axial forcein drilling of melamine-impregnated paper veneer particleboards
摘要
Abstract
Drilling is a crucial process in panel furniture production.During drilling,the axial force generated is directly linked to tool wear and machine energy consumption in the operation process.It serves as an important indicator for evaluating production efficiency and machine energy consumption.In this research,melamine impregnated paper veneer particleboard was selected as the main processing material.Through a series of drilling tests,the influence of key drilling parameters such as spindle speed,feed speed,and tool tip angle on the axial force of drilling was intensely discussed.At the same time,the response surface method and BP neural network algorithm were used to systematically analyze the axial force generated by drilling.The results showed that the tool tip angle was the most significant factor affecting the axial force during drilling,followed by feed speed and spindle speed.Through the research of the influence of different parameters on the drilling axial force,it can be concluded that,with the increase of the spindle speed,the axial force showed an obvious decreasing trend,and the increase of the feed speed led to the increase of the axial force.At the same time,the tool tip angle had the same influence trend,and the axial force increased further with the increase of the tool tip angle.In this research,using response surface method and BP neural network algorithm,the regression prediction model of axial force was developed and verified respectively to achieve accurate prediction of axial force.At the same time,the response surface method and genetic algorithm based on BP neural network were used to optimize the axial force respectively.The results showed that both methods demonstrated strong predictive performance.However,in terms of optimization effectiveness,the genetic algorithm combined with the BP neural network outperformed the response surface method.The aim of this research is to optimize the combination of processing parameters to provide a strong theoretical support and scientific basis for the efficient drilling of melamine impregnated paper veneer particleboards.关键词
三聚氰胺浸渍纸饰面刨花板/钻削工艺/响应曲面法/BP神经网络/遗传算法Key words
melamine impregnated paper veneer particleboard/drilling process/response surface method/BP neural network/genetic algorithm分类
矿业与冶金引用本文复制引用
宋美琪,管军,唐其,都晓航,余映月,郭晓磊,曹平祥,朱兆龙..三聚氰胺浸渍纸饰面刨花板钻削轴向力分析[J].林业工程学报,2025,10(5):39-46,8.基金项目
江苏省研究生科研与实践创新计划项目(SJCX24_0396) （SJCX24_0396）
国家重点研发计划(2023YFD2201500). （2023YFD2201500）
