Research On Simulation And Experimentation Of Cutting Force And Temperature For Bone Milling

Compared with the traditional artificial bone cutting operation process, therobot-assisted bone cutting, which is characterized by high accuracy, good stability,small error etc., has got more and more attention and research. However, mostresearchers have paid more attention to robots’ structure, operation navigation.etc,than the study of bone cutting process. The quality of machined surface directlyaffects bone regeneration and artificial prosthesis’s fixation, and it is closely relatedto the success of operation. Therefore, in order to obtain good cutting surface, it isrequired that there is little fluctuation of cutting force and as low cuttingtemperature as possible in bone cutting process.In this paper, we study the cutting force and cutting temperature in the humanbone-milling process with the methods of finite element simulation and experiments,analyze the change rule of cutting force and cutting temperature, establish themathematic model of cutting force, and conduct a bone-milling control experimentbased on the model, providing a theoretical basis for the control of bone-millingprocess.Based on the analysis of the milling mechanism, a simplified model of thebone cutting is established. The cutting procedure is simulated by applying theJohnson-Cook material model, the Lagrange-Euler algorithm, and physical principleof cutting chips separation, showing the distribution of stress and temperature in thecutting process intuitively. And the effects on cutting force and cutting temperatureof cutting speed and cutting depth is obtained.Design and build a bone-milling experiment platform, and with the freshporcine femur as the material, apply the single variable method to conduct theexperiments, measuring the cutting force and cutting temperature under differentcombinations of rotation, feed rate and radial depth of cutting. By comparing theresults of the experiments and simulations, the finite element model is verified to befeasible.By using the least squares regression algorithm，the prediction model of bonecutting force is established, and the statistical test and error analysis are carried out,the prediction error is in the acceptable range. In addition, to verify the predictionmodel can be used safely and effectively to predict and control cutting force forbone-cutting, design the bone milling control experiment. The experimental resultsshow that the cutting force can be maintained constant by adjusting the rotationspeed in real time, and the prediction model is correct.