| 20Cr13 stainless steel exhibits superior physical and mechanical properties,such as excellent corrosion resistance,wear resistance and remarkable toughness across a broad range of temperatures.These distinctive characteristics have led to its utilization in diverse applications,spanning from heavy to light industry.Nevertheless,the properties inherent in 20Cr13 stainless steel result in elevated heat generation during the grinding process,causing surface burns,distortion,and grain boundary anomalies on workpieces.Despite the existence of numerous studies examining the impact of machining parameters on grinding quality,the dearth of research into the intricate correlation between force-thermal coupling and grinding has hampered comprehension of the mechanisms governing the distribution of residual stress and damage layers induced by grinding.Hence,it is imperative to investigate the predictive model and its corresponding grinding mechanism under force-thermal coupling,as well as to scrutinize the influence of grinding parameters on surface integrity,so as to enhance machining efficiency and prolong the lifespan of workpieces,ultimately realizing the objectives of efficient,top-quality,energy-saving,and cost-effective machining of 20Cr13 stainless steel.A machining platform and a grinding force signal acquisition platform were constructed for the 20Cr13 martensitic stainless steel in this manuscript.Furthermore,a multi-factor orthogonal test for dry grinding machining was conceived and executed.By scrutinizing the simulation prediction outcomes and experimental results,the exploration of the all-encompassing action mechanism of the procedural parameters proffers a prospect of supplanting the conventional wet grinding of stainless steel with a dry grinding approach,marked by elevated machining efficacy and diminished energy consumption.Such an undertaking bears momentous directional import for the dry grinding course of 20Cr13.The principal research undertaken in this paper is outlined as follows:(1)The inquiry into the mechanics behind the origination and configuration of residual stresses during grinding was conducted,and the aftermaths of residual stresses on metallic constituents were expounded upon.Employing visual scrutiny,the associations amongst surface integrity(residual stress and roughness),grinding force and specific grinding energy,and grinding parameters were evaluated to derive the fluctuation patterns of surface integrity(residual stress and roughness),grinding force,and specific grinding energy during the dry grinding of 20Cr13.This serves as a foundation for the determination of optimal grinding parameters for 20Cr13 within the dry grinding process.(2)With the employment of the Advant Edge software,a prescient model was fashioned to execute a dry grinding force-thermal-coupled finite element analysis of 20Cr13.The simulation was subsequently cross-examined against experimental results to corroborate the accuracy of the simulation prediction model.Furthermore,a profound analysis of the microstructural features of the surface layer was executed through metallographic tests,and the temperature field obtained from the finite element analysis was amalgamated with the analysis and comparison of the thermal damage layer post-grinding to verify the simulation’s accuracy from another perspective.(3)By means of multiple linear regression,empirical equations were formulated to portray surface integrity(residual stress and roughness),grinding force,and specific grinding energy.The quantitative correlations between the grinding parameters and aforementioned aspects were authenticated via statistical assessments.With the purpose of augmenting surface quality and abating energy consumption,a three-objective function,encompassing tangential surface residual stress,specific grinding energy,and surface roughness,was stipulated and subsequently optimized by means of a multi-objective genetic algorithm grounded on Pareto.Utilizing the Matlab software,the Pareto optimal solution set was obtained under the machinating conditions of the present investigation,whereby the grinding parameters of a grinding wheel linear speed of 20.98 m/s,a workpiece speed of 869.77mm/min,and a grinding depth of 18.57 μm were identified as the most advantageous machining solution. |
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