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基于数字孪生复杂装备设计制造一体化协同设计技术及平台研发

周定胜 何恩球 白俊峰 江文佳 苗叶亮 孙博 刘达京

机电工程技术2024,Vol.53Issue(6):64-69,6.
机电工程技术2024,Vol.53Issue(6):64-69,6.DOI:10.3969/j.issn.1009-9492.2024-00007

基于数字孪生复杂装备设计制造一体化协同设计技术及平台研发

Digital Twins Based Integrated Collaborative Design Technology and Platform Development for Design and Manufacturing of Complex Equipment

周定胜 1何恩球 1白俊峰 2江文佳 2苗叶亮 3孙博 1刘达京1

作者信息

  • 1. 沈阳工业大学化工装备学院,辽宁辽阳 111000
  • 2. 沈鼓集团股份有限公司透平工艺部,沈阳 110869
  • 3. 沈鼓集团股份有限公司透平生产运营部,沈阳 110869
  • 折叠

摘要

Abstract

Complex equipment such as airplanes and automobiles are composed of multiple sub-functional systems,and their research and development usually require the synergy of multiple disciplines to be successfully completed.In order to effectively coordinate the coupling relationship between multiple disciplines,rational integration of various subsystems has become the key to equipment development.Digital twin technology provides a new way to solve this challenge.Through digital twin technology,a modular design-based approach is used for program decision-making and module division.By building a digital twin big data platform,structured and unstructured twin data can be effectively managed,and traditional design can be extended to a wider range of fields,including function-oriented design,manufacturing-oriented design,and service-oriented design,etc.,which realizes the integrated collaborative design of the whole life cycle of products.This comprehensive design approach helps to effectively shorten the development cycle of complex equipment,reduce development costs,and ultimately improve the performance and reliability of equipment.Through the digital twin technology,the synergies between various subsystems work more closely,providing more efficient and innovative solutions for the development and production of complex equipment.

关键词

数字孪生/复杂装备/云计算/人工智能

Key words

digital twin/complex equipment/cloud computing/artificial intelligence

分类

机械制造

引用本文复制引用

周定胜,何恩球,白俊峰,江文佳,苗叶亮,孙博,刘达京..基于数字孪生复杂装备设计制造一体化协同设计技术及平台研发[J].机电工程技术,2024,53(6):64-69,6.

基金项目

2022年度辽宁省教育厅基本科研项目(LJKMZ20220515) (LJKMZ20220515)

机电工程技术

1009-9492

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