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随着科学技术的迅速发展和工农业生产的突飞猛进,产品质量不断提高,产品品种不断增多。因此,科学试验已越来越受到人们的重视。但是,科学试验时如何从众多的因素中经过有限的试验,通过数据处理,建立方程以寻找规律?工程设计及工艺分析中又如何从众多的参数中剔除次要参数,从而进行优化设计及确定最佳工艺参数?正交试验设计与分析是解决上述问题的有效方法之一。一、轴向力和扭矩的正交回归设计机床设计、工艺装备设计及材料性能试验时,在确定最佳工艺参数时,切削力和扭矩是重要参数。但是如何能精确且快速地建立它们的计算方程呢?我们
With the rapid development of science and technology and the rapid development of industry and agriculture, the quality of products is continuously improved and the variety of products is constantly increasing. Therefore, scientific experiments have drawn more and more attention. However, how does the scientific experiment pass a limited number of tests from a large number of factors and establish equations to find the law through data processing? How to eliminate the secondary parameters from numerous parameters in the engineering design and process analysis so as to optimize the design and determine Optimal process parameters? Orthogonal experimental design and analysis is one of the effective ways to solve the above problems. First, the axial force and torque orthogonal regression design Machine tool design, process equipment design and material performance test, the determination of the best process parameters, the cutting force and torque are important parameters. But how can we build their computing equations precisely and quickly?