首页> 外文会议>International association of packaging research institutes World Packaging Confernce >Multiple Linear Regression Model on Compression Strength of Corrugated Boxes
【24h】

Multiple Linear Regression Model on Compression Strength of Corrugated Boxes

机译:瓦楞纸箱压缩强度的多元线性回归模型

获取原文

摘要

Using a multiple linear regression model, we analyze test results based on a sample of thousands of batches of corrugated boxes to establish the relation between compression strength and a series of variables such as bursting strength, edgewise crush strength, puncture resistance and ply adhesive strength. Based on the non-linear regression model results, we reveal that the relation between compression strength and other independent variables is more akin to that of a power function. We undertake a logarithmic transformation on the best fitting non-linear regression model to establish a formula for predicting compression strength. To test how well our formula predicts compression strength, we compare real test results with values predicted both by our formula and by traditional formulas such as those of Kellicutt, Makee and Wolf. We find the values predicted by our model are closer to those derived in real tests than are those predicted by the other three formulas considered.
机译:使用多元线性回归模型,我们根据数千批瓦楞纸箱的样本分析测试结果,以建立压缩强度与一系列变量之间的关系,例如爆破强度,凸缘挤压强度,穿刺电阻和帘布层粘合强度。基于非线性回归模型结果,我们揭示了压缩强度和其他独立变量之间的关系更像是功率函数的关系。我们对最佳拟合非线性回归模型进行对数转换,以建立预测压缩强度的公式。为了测试您的公式预测压缩强度的程度,我们将实际测试结果与我们的公式预测的值进行比较,以及由凯利科特,Measte和Wolf的传统公式预测的值。我们发现我们模型预测的值更接近于实际测试中导出的值,而不是所考虑的其他三种公式预测的那些。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号