数字孪生驱动的机械加工工艺评价方法

Digital twin-driven machining process evaluation method

在动态变化的加工条件下,机械加工工艺评价已成为智能制造模式下提高工艺可执行度和缩短产品研发周期必须要解决的关键问题,为此提出了数字孪生数据驱动的机械加工工艺评价方法。以加工过程感知数据为研究对象,创建加工过程实时数据的表达模型和获取流程,为工艺评价孪生数据提供了数据源泉;创建了加工工艺评价孪生模型框架体系,提出加工过程感知数据与工艺设计数据的映射机制,实现了工艺评价孪生数据的创建;将孪生数据反馈到工艺设计系统,实现评价数据的流通性、实时性与有效性;提出了孪生数据驱动的工艺评价方法;并创建了孪生数据驱动的机械加工工艺动态评价模块。并以船用柴油机关重件为例,验证了所提方法的有效性。

Under the dynamic processing conditions,the machining process evaluation has become a key for improving process’executable and shortening development cycle in intelligent manufacturing mode.Therefore,a twin datadriven evaluation methodology of machining process was proposed.By taking the perceptual data of machining process as the research object,the representation model and acquisition process of real-time data of processing process were created to provide the data source for twin data of process evaluation.The framework system of process evaluation’s twin model was established,and the mapping mechanism between perceptual data of processing process and process design data was put forward to realize the establishment of twin data that was the basis of process evaluation.The twin data was fed back to the process design system to realize the circulation,real-time and validity of the process evaluation data.Finally,the twin data-driven process evaluation method was established for the key parts of marine diesel engine.According the developed module of twin data-driven dynamic evaluation,the validity of the proposed method was verified by some examples.