Digital twins for cutting processes

被引：15
|
作者：
Bergs, T. [1 ,2 ]
Biermann, D. [3 ]
Erkorkmaz, K. [4 ]
M'Saoubi, R. [5 ,6 ]
机构：
[1] Rhein Westfal TH Aachen, Lab Machine Tools & Prod Engn WZL, Campus Blvd 30, Aachen, Germany
[2] Fraunhofer Inst Prod Technol IPT, Steinbachstr 17, D-52074 Aachen, Germany
[3] TU Dortmund Univ, Inst Machining Technol ISF, Baroper Str 303, D-44227 Dortmund, Germany
[4] Univ Waterloo, Mech & Mechatron Engn Dept, 200 Univ Ave W, Waterloo, ON, Canada
[5] Seco Tools AB, R&D Mat & Technol Dev, SE-73782 Fagersta, Sweden
[6] Lund Univ, Dept Mech Engn Sci, Div Prod & Mat Engn, Naturvetarvagen 18, S-22362 Lund, Sweden
来源：
CIRP ANNALS-MANUFACTURING TECHNOLOGY | 2023年 / 72卷 / 02期
关键词：
Cutting; Digital twin; Digital shadow; INDUCED RESIDUAL-STRESSES; POSITION-DEPENDENT DYNAMICS; ENHANCED ANALYTICAL-MODEL; TOOL WEAR; SURFACE INTEGRITY; MACHINING PROCESS; PART I; PREDICTION; SIMULATION; PERFORMANCE;
D O I：
10.1016/j.cirp.2023.05.006
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Collecting and utilizing data in industrial production are becoming increasingly important. One promising approach to utilize data is the concept of digital twin (DT). DTs are virtual representations of physical assets, updated by real data and enhanced by models. This paper provides an overview of DTs for cutting processes. After giving a definition, we discuss requirements derived from representative use cases. As process models are central for DT creation, we present an overview of the latest research as well as conditions for how it can be implemented in industrial environments. The paper concludes with main challenges for future research.(c) 2023 Published by Elsevier Ltd on behalf of CIRP.
引用
收藏
页码：541 / 567
页数：27
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