首页|面向航空复杂零件智能工艺规划的孪生工艺模型构建与应用研究

面向航空复杂零件智能工艺规划的孪生工艺模型构建与应用研究

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针对航空制造企业以人工经验为主的试错型工艺规划方式及工艺设计与加工过程缺乏协同导致的航空复杂零件工艺方案设置不合理、加工过程调整不及时、几何精度与物理性能指标调控难等问题,通过引入数字孪生技术,构建面向航空复杂零件智能工艺规划的新型孪生工艺模型及其参考框架.据此,从实测数据、质量信息和工艺知识融合的角度,提出孪生工艺模型数据空间、虚拟空间和知识空间的构建方法,明晰加工过程几何误差与物理性能指标使能的孪生工艺模型多维空间协同演进机制,实现工艺设计与加工过程的联动优化.进一步以航空薄壁件为例,实现孪生工艺模型的原型开发,并探索孪生工艺模型的典型应用场景,为航空制造企业革新工艺规划方式、实现工艺设计与加工过程的联动优化提供支撑.
Research on the Construction and Application of Digital Twin Process Model for Intelligent Process Planning of Aviation Complex Parts
Currently,process planning of complex aviation parts still depends on manual experiences and lacks the coordination between process design and machining.The above issues case the problems like unreliable setting of process plans,un-timely responsive adjustment of machining process,and difficult to control the geometric accuracy and physical performance indicators of complex aviation parts.To bridge the gap,the digital twin is introduced into process planning and a novel reference framework of digital twin process model(DTPM)is proposed.Accordingly,by fusing the on-site data,quality information and process knowledge,the construction methods of data space,virtual space,and knowledge space of DTPM are proposed.Then,the co-evolution mechanism of multiple spaces of DTPM driven by geometric errors and physical performance indexes during machining process is introduced,which realizes the linkage optimization of process design and machining.Finally,aviation thin-walled parts are taken as an example to develop a DTPM prototype.Its application examples show that DTPM could provide supports for aerospace manufacturing enterprises to innovate process planning methods and realize the linkage optimization of process design and machining.

digital twinintelligent process planningdigital twin process modelquality controlaviation complex partsintelligent decision-making

张超、周光辉、李晶晶、魏智博、秦天宇

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西安交通大学机械工程学院 西安 710049

西安交通大学机械制造系统工程国家重点实验室 西安 710054

数字孪生 智能工艺规划 孪生工艺模型 质量调控 航空复杂零件 智能决策

国家自然科学基金国家自然科学基金中国博士后科学基金创新人才支持计划陕西省高等学校科协青年人才托举计划中国博士后科学基金

5210553051975463BX2021244202104092021M692556

2024

10.3901/JME.2024.06.032

机械工程学报
中国机械工程学会

机械工程学报

CSTPCD北大核心
影响因子：1.362
ISSN：0577-6686
年,卷(期)：2024.60(6)
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