CAJ | 학술논문

采用 X-C 两轴联动的加工方式，在 CNC8325型超高速凸轮轴复合磨床上，对冷激铸铁凸轮轴进行了加工试验。采用正交试验法设计实验，并运用极差法和方差法综合分析相关磨削工艺参数对工件加工质量的影响规律。利用遗传神经网络算法建立了工件加工质量和相关磨削工艺参数间的非线性映射关系，同时基于正交试验法的分析结果改进了遗传神经网络算法，实现了相关磨削工艺参数的优化，缩短了冷激铸铁材料凸轮轴数控磨削工艺制定的时间，提高了磨削加工的质量。
채용 X-C 량축련동적가공방식，재 CNC8325형초고속철륜축복합마상상，대랭격주철철륜축진행료가공시험。채용정교시험법설계실험，병운용겁차법화방차법종합분석상관마삭공예삼수대공건가공질량적영향규률。이용유전신경망락산법건립료공건가공질량화상관마삭공예삼수간적비선성영사관계，동시기우정교시험법적분석결과개진료유전신경망락산법，실현료상관마삭공예삼수적우화，축단료랭격주철재료철륜축수공마삭공예제정적시간，제고료마삭가공적질량。
X-C axis linkage was used to machine cold shock cast iron camshaft on the CNC8325 ultrahigh speed camshaft grinder.Orthogonal test were designed to analyze the influence of process parameters on the machining quality with range method and variance method.A nonlinear mapping relationship was established between the machining quality and process parameters by genetic neural network algorithm.Results showed that the genetic neural network algorithm was improved and that the grinding parameters were optimized.It could also shorten the machining time and improve the machining quality.