Digital twin technology applicability evaluation method for CNC machine tool
Digital twin technology applicability evaluation method for CNC machine tool
复制标题
数控机床数字孪生技术适用性评价方法
DOI：
10.1007/s00170-022-10050-4
复制
发表时间：
2022-09
期刊：
影响因子：
--
通讯作者：
Yanqing Wang
中科院分区：
文献类型：
--
作者：
Yongli Wei;Tianliang Hu;Shiyun Wei;Songhua Ma;Yanqing Wang
数字孪生（DT）技术作为2020年的首要战略技术趋势之一，受到广泛关注，并逐步在智能制造装备中得到广泛应用。然而，缺乏系统的评估指导，从而评估DT技术对智能制造设备具体应用的适用性。与此同时，数控机床（CNCMT）作为智能制造装备的重要组成部分也面临着上述困境。出于这一需求，本文提出了一种CNCMT数字孪生技术适用性评估方法。该方法首先对基于DT的CNCMT进行面向应用的需求分析，得到最优的评价指标和结构模型。在此基础上，研究了基于最优评价模型和系统工程算法的CNCMT DT技术适用性评价。在此基础上，针对CNCMT的具体应用，从初始阶段开始量化其DT技术适用性。然后，DT技术的适用性，以解决具体的应用CNCMT可以澄清。最后，以基于DT的CNCMT刀具寿命预测为应用案例进行了适用性评价，展示了该方法的实施流程，验证了其可操作性和有效性。
Digital twin (DT) technology, as one of the top strategic technology trends for 2020, has received widespread attention and has gradually been widely used in smart manufacturing equipment. However, there is a lack of systematic evaluation guidance, which accesses the applicability of DT technology for specific applications of smart manufacturing equipment. At the same time, CNC machine tool (CNCMT) as an essential part of smart manufacturing equipment also faces the above dilemma. Motivated by this need, a digital twin technology applicability evaluation method for CNCMT is proposed in this paper. This method firstly analyzes the application-oriented requirements of DT-based CNCMT to obtain the optimal evaluation index and structure model. And then, the DT technology applicability evaluation of CNCMT based on the optimal evaluation model as well as system engineering algorithms is researched. With this effort, DT technology applicability of CNCMT is quantified starting from the initial stage aiming at its specific application. Then, the applicability of DT technology to address specific applications of CNCMT can be clarified. At last, the applicability evaluation for DT-based CNCMT cutting tool life prediction is carried out as an application case to show the implementation flow of the proposed method and verify its operability and effectiveness.
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