| High Manganese Steel as a typical high wear-resistant material is widely used in variousfields. However, the traditional cutting methods have been unable to meet its processingrequirements for the hardness performance of high-manganese steel. That ultrasonic vibrationaccompanies to cut the high-manganese steel remain in the trial stage so that the selection ofparameters cannot be accurate enough.Ultrasonic vibration lathing rate of high-manganese steel have been studied in-depth.The amplitude affecting the main cutting force and tool life in the process of ultrasonicvibration lays the solid foundation for optimization further.The optimal mathematical model of high-manganese steel in ultrasonic vibration cuttingrate has constructed by the objective function including the maximum productivity andminimum production cost, the design variables such as the cutting speed, feed rate, the backcut rate and amplitude, and limited conditions of objective factors involving in lathe, workpiece and tools. The mathematical model optimized by genetic algorithms, which has beenchosen by comparison to traditional optimization methods, and the relative parameterssettings and programming steps have been confirmed.The optimal solution obtained by optimizing the mathematical model, and the optimizingprocedures of ultrasonic vibration cutting rate based on genetic algorithm has been developedby MATLAB and get the counterpart interface.The experimental platform has been built in the laboratory for verifying the correctnessof cutting rate preliminarily by lathing in practice.The optimal results can show the evidence to production efficiency improvement andproduction costs reduction, which fully reflects the accuracy of the optimal mathematicalmodel, as well as the practicality of optimization by using genetic algorithms. It provides atheoretical foundation and application guidance for the optimization of high-manganese steelultrasonic vibration cutting rate. |
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