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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 rel...
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Published in: | International journal of advanced manufacturing technology 2022-08, Vol.121 (11-12), p.7963-7982 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | 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. |
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ISSN: | 0268-3768 1433-3015 |
DOI: | 10.1007/s00170-022-09730-y |