High-performance manufacturing

被引:7
作者
Guo, Dongming [1 ,2 ]
机构
[1] State Key Lab High Performance Precis Mfg, Dalian, Peoples R China
[2] Dalian Univ Technol, Sch Mech Engn, Dalian 116024, Peoples R China
关键词
CYBER-PHYSICAL SYSTEMS; SURFACE INTEGRITY; DIGITAL TWIN; DESIGN; CHALLENGES; SIMULATION;
D O I
10.1088/2631-7990/ad7426
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The increasing demand for high-end equipment in crucial sectors such as aerospace, aeronautics, energy, power, information and electronics continues growing. However, the manufacturing of such advanced equipment poses significant challenges owing to high-level requirements for loading, transmission, conduction, energy conversion, and stealth. These challenges are amplified by complex structures, hard-to-cut materials, and strict standards for surface integrity and precision. To overcome these barriers in high-end equipment manufacturing, high-performance manufacturing (HPM) has emerged as an essential solution. This paper firstly discusses the key challenges in manufacturing technology and explores the essence of HPM, outlining a quantitative relationship between design and manufacturing. Subsequently, a generalized framework of HPM is proposed, accompanied by an in-depth exploration of the foundational elements and criteria. Ultimately, the feasible approaches and enabling technologies, supported by the analysis of two illustrative case studies are demonstrated. It is concluded that HPM is not just a precision and computational manufacturing framework with a core focus on multiparameter correlation in design, manufacturing, and service environments. It also represents a performance-geometry-integrated manufacturing framework for an accurate guarantee of the optimal performance.
引用
收藏
页数:21
相关论文
共 44 条
[31]   Framework for a digital twin in manufacturing: Scope and requirements [J].
Shao, Guodong ;
Helu, Moneer .
MANUFACTURING LETTERS, 2020, 24 (24) :105-107
[32]   Toward a Digital Twin for real-time geometry assurance in individualized production [J].
Soderberg, Rikard ;
Warmefjord, Kristina ;
Carlson, Johan S. ;
Lindkvist, Lars .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2017, 66 (01) :137-140
[33]  
[宋学官 Song Xueguan], 2022, [机械工程学报, Journal of Mechanical Engineering], V58, P298
[34]   Jerk-limited feedrate scheduling and optimization for five-axis machining using new piecewise linear programming approach [J].
Sun, YuWen ;
Chen, ManSen ;
Jia, JinJie ;
Lee, Yuan-Shin ;
Guo, DongMing .
SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2019, 62 (07) :1067-1081
[35]   Predictive modeling of chatter stability considering force-induced deformation effect in milling thin-walled parts [J].
Sun, Yuwen ;
Jiang, Shanglei .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2018, 135 :38-52
[36]   Digital Twins and Cyber-Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison [J].
Tao, Fei ;
Qi, Qinglin ;
Wang, Lihui ;
Nee, A. Y. C. .
ENGINEERING, 2019, 5 (04) :653-661
[37]   Digital Twin in Industry: State-of-the-Art [J].
Tao, Fei ;
Zhan, He ;
Liu, Ang ;
Nee, A. Y. C. .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (04) :2405-2415
[38]   Data-driven smart manufacturing [J].
Tao, Fei ;
Qi, Qinglin ;
Liu, Ang ;
Kusiak, Andrew .
JOURNAL OF MANUFACTURING SYSTEMS, 2018, 48 :157-169
[39]   Finite element modeling and cutting simulation of Inconel 718 [J].
Uhlmann, E. ;
von der Schulenburg, M. Graf ;
Zettier, R. .
CIRP ANNALS-MANUFACTURING TECHNOLOGY, 2007, 56 (01) :61-64
[40]   Machining induced surface integrity in titanium and nickel alloys: A review [J].
Ulutan, Durul ;
Ozel, Tugrul .
INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, 2011, 51 (03) :250-280