Study on the relevance of strengthened layer and vibration signal in grinding-strengthening process

As an energy-saving and eco-friendly combined machining, Grinding-strengthening (GS) technology has been widely applied. Because the strengthened layer is a critical factor affecting surface mechanical properties, it is worthwhile to study the predicting method of surface-strengthened layer. The relevance of strengthened layer and dynamic vibration signal of GS was studied in this paper. Firstly, the alternation direction implicit (ADI) method was creatively used to build a dynamic grinding temperature field system according to the Jager theory model, which can simulate the workpiece's temperature at any time step during processing. Secondly, the strengthened depth was worked out based on the relationship between dynamic temperature variation and phase transformation character. Thirdly, a regenerative vibration system was developed, and different process parameters' influences on grinding vibration were discussed in simulation. Lastly, the correlation of strengthened layer and vibration signal was analyzed by surface grinding experiments of AISI1045. Both simulation and experimental results proved that the grinding vibration signal includes abundant strengthened layer information. In addition, the probability density feature of grinding vibration signal was consistent with strengthened layer's depth. The results also demonstrated the feasibility of predicting strengthened layer by vibration signal in GS process.

Automated summary

This study investigated the correlation between the strengthened layer and the dynamic vibration signal in grinding-strengthening (GS) process. The results showed that the grinding vibration signal contains abundant strengthened layer information, and the probability density feature of the vibration signal is consistent with the depth of the strengthened layer. The feasibility of predicting the strengthened layer by vibration signal in the GS process was demonstrated.