灰色关联分析在SPIF表面粗糙度优化中的应用

Optimization of SPIF Surface Roughness via Grey Relational Analysis

成形件表面质量差是制约单点增量成形(SPIF)应用的主要因素之一,其中表面粗糙度是评价表面质量的一项重要指标。以45°方锥台为研究对象,采用基于灰色关联分析的方法,进行成形件表面质量多目标控制的成形参数优化。为了采用较少的实验次数搜寻到最佳的表面质量特性的成形参数,采用田口正交表进行实验设计,通过灰色关联分析中得到的灰色关联度决定优化的成形参数,同时通过成形参数的最大与最小的灰色关联度差值得到了对表面质量影响较显著的因子。实验结果表明:利用本文提出的方法,可以使成形件的纵向和横向表面粗糙度得到有效的改善。

The poor surface quality of parts is one of the main factors that restrict the application of single point incremental forming（ SPIF）,in which the surface roughness is an important indicator to evaluate the surface quality. In this paper,taking the 45° pyramidal shape as the research object,the grey relational analysis based method was carried out to conduct the forming parameters optimization of multi-objective control of the surface quality of forming parts.In order to study the best surface quality performance of forming parameters by using less number of experiments. The Taguchi orthogonal table was carried out to experimental design,through the grey relational grade obtained from grey relational analysis determine optimal forming parameters,meanwhile the main significant factor that affect the surface quality can be found by the difference between the maximum and minimum value of the grey relational grade of the forming parameters. The experimental results have shown that the longitudinal and transverse surface roughness of forming parts can be effectively improved by this proposed approach.