Study on the Optimum Processing Parameter of EDM Based on the SVM
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摘要: 分析了电火花加工中电参数与加工质量之间的关系,并运用支持向量机(SVM)对电火花加工中电参数进行了优化研究。仿真结果表明:电参数预测精度最高可达96.10%,最低89.20%,平均94.28%,说明SVM算法稳定性及泛化能力优秀。进一步经实验验证,预测精度最高达92.65%,最低81.50%,平均89.38%,同样较高。说明该方法所确定的最优电参数能够很好地保证预期的加工质量,从而可以方便操作者对加工条件的确定。Abstract: The relationship between the electric parameter and the processing quality is analyzed,and the optimum electric parameter is predicted by using the support vector machine(SVM). The simulation result shows that the highest prediction accuracy is 96. 1%,the lowest is 89. 2%,the average accuracy is 94. 28%,which indicate the algorithm stability and generalization ability are outstanding,after the experiment,the highest prediction accuracy can reach to 92. 65%,the lowest is 81. 5%,the average accuracy is 89. 38%,the electric parameter optimized based on the SVM can guarantee the expected processing effect better. The exploration in EDM intelligent machining will be convenient for the operators to determine the most effective machining condition.
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Key words:
- artificial intelligence /
- computer simulation /
- efficiency /
- electric discharge machining
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