Analysis And Research On Real Grinding Amount Of Robot Grinding

Grinding and polishing processes play a vital role in various precision manufacturing industries.Among the existing engineering problems,the optimization of grinding and polishing process parameters and related process parameter models still need to be further studied.This paper analyzes and studies the actual grinding amount of grinding process parameters,and provides theoretical and technological planning methods for improving the relevant theories and process planning methods of polishing and grinding processes.Technical Support.At present,many studies are aimed at a certain part of the process or need to be carried out under specific conditions.The matching and fusion of various parameters in the robot grinding process is not mature,and there are limitations in practical application.concept,to solve the problem of grinding amount control in the robot grinding process.The main research contents are as follows:(1)Design a robot adaptive automatic grinding system.This system uses a six-degree-offreedom robot to configure an adaptive force control system to achieve perfect fit for complex curved surfaces and welds;it uses an external axis to achieve all-round coverage of the workpiece,and switches postures in real time to complete automatic grinding.Through the automatic replacement of grinding tools,the production efficiency of a single robot is maximized;the concept of module layering is used to make different stations meet the needs of different processes;an adaptive force control device is installed to realize the dataization of industrial parameters,thereby ensuring grinding Polished effect.(2)Propose the concept of real grinding amount.First,the Bisquare weighting function is used to process the experimental data to obtain an effective data set.Then,combined with the multivariate fitting method including the R-squared coefficient of determination,multiple process objectives are fully optimized to obtain According to the curve characteristics,the corresponding optimal parameter combination is obtained,and finally the optimal parameter group is combined with the Preston equation to obtain the real grinding amount.The experimental results show that there is a certain difference between the theoretical grinding amount and the real grinding amount.On the premise of meeting the technological requirements,using the real grinding amount to grind the workpiece can meet the higher surface precision requirements and improve the grinding efficiency.(3)On the basis of determining the actual grinding amount,the grinding time and grinding path can be optimized to improve the actual grinding efficiency.According to the characteristics of large parts,the grinding path of the industrial robot is divided into limited points to Point Path(PTP),Linear Path(LIN),Curve Path(CIRC),based on MATLAB,Robotic Toolbox and RM robot system for simulation,using improved A* algorithm and Kmeans mean clustering algorithm to solve the problem of grinding points The problem of process grouping and path sorting caused by irregular grinding points.The experimental results show that the robot grinding efficiency is improved by 51% compared with manual processing after the optimized path.(4)Based on the grinding and polishing data,analyze the main grinding and polishing process parameters,study their influence on the workpiece surface roughness and the scope of application,and propose a grinding and polishing process parameter prediction method based on artificial neural network and grey relational analysis.The optimization method of grinding and polishing process parameters,and the experimental grinding results show the effectiveness of the method.