基于CMA1390型CO_(2)激光切削机的水曲柳切削效果回归模型建立  

Regression Modeling of Fraxinus mandshurica Cutting Effect Based on CMA1390 CO_(2) Laser Cutting Machine

作　　者：龙泳学 陈庆轩 赵梓旭 赵昊民 赵洪刚[1] 李庆增 Long Yongxue;Chen Qingxuan;Zhao Zixu;Zhao Haomin;Zhao Honggang;Li Qingzeng(Key Laboratory of Wood Materials Science and Engineering of Jilin Province,Beihua University, Jilin 132013;Shenzhen International Graduate School,Tsinghua University ,Shenzhen 518131;Jilin Branch of China Kunlun Contracting&Engineering Corporation ,Jilin 132013;Lingshui Street Office,Dalian High-Tech Industrial Park Dalian 116023)

机构地区：[1]北华大学木质材料科学与工程吉林省重点实验室,吉林132013 [2]清华大学深圳国际研究生院,深圳518131 [3]中国昆仑工程有限公司吉林分公司,吉林132013 [4]大连高新技术产业园区凌水街道办事处,大连116023

出　　处：《林业科学》2024年第11期170-176,共7页Scientia Silvae Sinicae

基　　金：吉林省预算内基本建设资金(创新能力建设)计划(2024C006-6);北华大学研创合字([2023]015)。

摘　　要：【目的】分析激光切削水曲柳的技术参数与切削效果之间的相关性,建立切削效果最优回归模型,为满足切削效果提供合适的技术参数组合。【方法】以激光机镜头高、进给速度和光强为影响因素,以缝深和缝宽为切削效果指标,利用SPSS 27.0对激光切削水曲柳的技术参数与切削效果进行Spearman相关性分析,进一步根据最小二乘法原理采用MATLAB R2020a编程进行多元线性和非线性回归分析。【结果】1)镜头高与缝深和缝宽呈极显著相关,相关系数分别为-0.677和0.962;进给速度与缝深呈极显著相关、与缝宽无显著相关性,相关系数分别为-0.619和-0.090;光强与缝深和缝宽无显著相关性,相关系数分别为0.116和0.057。2)多元线性回归分析结果表明,缝深回归模型的拟合优度(R^(2))为0.77154(P<0.01),缝宽回归模型的R^(2)为0.90458(P<0.01);多元非线性回归分析结果表明,缝深回归模型的R^(2)为0.93669(P<0.01),缝宽回归模型的R^(2)为0.94241(P<0.01);多元线性和非线性回归模型均拟合较好,相对来说多元非线性回归模型的准确度高于多元线性回归模型。3)多元回归模型系数对比和图像变化幅值显示,镜头高对缝深和缝宽的影响大于进给速度和光强。4)在激光切削水曲柳生产实际中,如果只是粗略、快速计算缝深和缝宽,可采用多元线性回归模型估计;如果需精确计算缝深和缝宽,采用多元非线性回归模型估计效果更好。【结论】1)缝深和缝宽随激光机技术参数组合总体上呈周期性变化规律;2)在激光切削水曲柳生产实际中,需要先调整镜头高;3)激光机技术参数组合对缝深与缝宽的影响展现出更为显著的非线性特征。【Objective】By analysing the technical parameters and cutting effect of laser cutting Fraxinus mandshurica,the optimal regression equation model of cutting effect was established to provide a theoretical basis for estimating the cutting effect.【Method】Taking the technical parameters of the laser machine lens height,cutting speed and light intensity as the influencing factors,and the seam depth and seam width as the cutting effect indicators,the two were analysed by Spearman correlation analysis using SPSS 27.0 software,and further multivariate linear and non-linear regression analyses were carried out by using MATLAB R2020a software programming based on the principle of the least squares method.【Result】1)The lens height was significantly correlated with the seam depth and width,with correlation coefficients of-0.677 and 0.962,indicating that the lens height was negatively correlated with the seam depth and positively correlated with the seam width.The cutting speed was significantly correlated with the seam depth and not with the seam width,with correlation coefficients of-0.619 and-0.090,indicating that the correlation was negatively correlated with the seam depth and seam width.The light intensity was not significantly correlated with the seam depth and seam width,with correlation coefficients of 0.116 and 0.057,indicating a positive correlation with the seam depth and seam width.2)Linear regression analysis showed that the goodness-of-fit R^(2) of the regression model for seam depth was0.77154(P<0.01).The goodness-of-fit R^(2) of the regression model for seam width was 0.90458(P<0.01).Non-linear regression analyses yielded a goodness-of-fit R^(2) of 0.93669(P<0.01)for the regression model of seam depth.The a goodness-of-fit R^(2) of0.94241(P<0.01)for the regression model of seam width.Both multivariate linear and non-linear regression models were well fitted,but the accuracy of the multivariate nonlinear regression model was relatively higher than that of the multivariate linear regression model.3)F

关 键 词：激光切削 水曲柳 相关性 回归性 

分 类 号：S784[农业科学—林学]