SEARCH FOR VARIANCE ANALYSIS MODELS FOR ROUGHNESS PREDICTION TAKING INTO ACCOUNT THE GRINDING MODE OF 06H14N6D2MVT-W STEEL PARTS BY HIGHLY POROUS NITRIDE-BORON WHEELS
The PURPOSE of this article is to assess the effects of surface grinding process parameters on surface roughness of parts made of 06H14N6D2MVT-W steel using the models of multivariate analysis of variance (MANOVA) and find the most effective ways of improving grinding efficiency on retention of surface topography. METHODS. Mathematical statistics, the theory of experiment, the method of least squares (LS) and maximum likelihood (ML) are used for model adjustment. RESULTS. Additional reserves are identified for the production of parts made of 06H14N6D2MVT-W steel with a smaller roughness at higher grinding performance. CONCLUSION. The obtained MANOVA models allow to predict the roughness responses in the whole factor space. Under technological preparation of machine-building production they reduce its time and allow to implement an additive control of the grinding process with a high probability of production of usable parts.