机译:钛合金精密高速加工中基于声发射的工具条件分类:机器学习方法
1Department of Mechanical Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore 641112 India;
1Department of Mechanical Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore 641112 India;
1Department of Mechanical Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore 641112 India;
Acoustic emission; machine learning algorithms; tool wear; support vector machine; decision tree;
机译:钛合金精密高速加工中基于声发射的工具条件分类:机器学习方法
机译:基于断裂能方法的钛合金(Ti-6Al-4V)高速和超高速加工的MPM模拟
机译:使用刀具偏转和声发射来研究工具惯性对β-钛合金的可加工性的影响
机译:工具磨损和低温条件涉及钛合金高速加工的微观结构改变
机译:通过模式分类和多类机器学习实现端铣削中智能刀具状态监测(TCM)的多传感器融合。
机译:钛合金在超精密加工中的韧性和脆性转变行为
机译:液氮供应条件对加工Ti-6Al-4V钛合金工具磨损和表面完整性的影响