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在日常生产生活中,有大量事物是遵循一种数学关系——回规关系的。例如在机械加工中,刀具磨损与被加工零件数量之间,生产批量与辅料消耗之间;渗碳层深度与加热时间之间;热处理淬火后回火温度与零件硬度之间等等部能建立起相应的回归方程式,有了回规方程式就可以预测工艺结果,避免盲目性。例如,对渗碳层深度与加热时间的关系,按常规办法是要解剖试棒来判断渗层深度和渗层的组织状况。而运用回归分析法,可推导出20Cr钢在加
In everyday production and life, there are a large number of things that follow a mathematical relationship - regularization. For example, in machining, between tool wear and the number of parts being machined, between production lot and excipient consumption; depth of carburized layer and heating time; between tempering temperature after heat treatment and part hardness, etc. can be established From the corresponding regression equation, with a regressive formula can predict the process results, to avoid blindness. For example, the depth of carburized layer and the relationship between the heating time, according to the conventional method is to dissect the test bar to determine the depth of the infiltration layer and the organizational status of the infiltration layer. The use of regression analysis can be deduced 20Cr steel in Canada