Match!

About The Importance of Autonomy and Digital Twins for the Future of Manufacturing

Published on Jan 1, 2015in IFAC-PapersOnLine
· DOI :10.1016/j.ifacol.2015.06.141
Roland Rosen6
Estimated H-index: 6
(Siemens),
Georg von Wichert9
Estimated H-index: 9
(Siemens)
+ 1 AuthorsKurt Dirk Bettenhausen1
Estimated H-index: 1
(Princeton University)
Sources
Abstract
Abstract Industrie 4.0 - the “brand” name of the German initiative driving the future of manufacturing - is one of several initiatives around the globe emphasizing the importance of industrial manufacturing for economy and society. Besides the socio-economical if not political question which has to be answered - including the question about the future of labor - there are a couple of substantial technical and technological questions that have to be taken care of as well.
  • References (2)
  • Citations (149)
📖 Papers frequently viewed together
184 Citations
90 Citations
1,127 Citations
78% of Scinapse members use related papers. After signing in, all features are FREE.
References2
Newest
#1Moritz Tenorth (University of Bremen)H-Index: 24
#2Michael Beetz (University of Bremen)H-Index: 47
Autonomous service robots will have to understand vaguely described tasks, such as “set the table” or “clean up”. Performing such tasks as intended requires robots to fully, precisely, and appropriately parameterize their low-level control programs. We propose knowledge processing as a computational resource for enabling robots to bridge the gap between vague task descriptions and the detailed information needed to actually perform those tasks in the intended way. In this article, we int...
209 CitationsSource
#1Detlef Zuehlke (TUK: Kaiserslautern University of Technology)H-Index: 5
Abstract In our daily life we are more and more dependent on the latest technologies in electronics and communication. Our mobile phones become powerful multimedia systems, our cars computer systems on wheels, and our homes will turn into smart living environments. All these advances must be turned into products for very cost-sensitive world markets in shorter cycles than ever before. The resulting requirements for design, setup, and operation of our factories become crucial for success. In the ...
59 CitationsSource
Cited By149
Newest
#1David J. Wagg (University of Sheffield)H-Index: 30
#2Keith Worden (University of Sheffield)H-Index: 53
Last. Paul Gardner (University of Sheffield)H-Index: 2
view all 4 authors...
This paper presents a review of the state-of-the-art for digital twins in the application domain of engineering dynamics. The focus on applications in dynamics, is because: (i) they offer some of the most challenging aspects of creating an effective digital twin, and (ii) they are relevant to important industrial applications such as energy generation and transport systems. The history of the digital twin is discussed first, along with a review of the associated literature; the process of synthe...
Source
#1Chao Liu (Xi'an Jiaotong University)H-Index: 1
#2Pingyu Jiang (Xi'an Jiaotong University)H-Index: 9
Last. Wenlei Jiang (Xi'an Jiaotong University)H-Index: 1
view all 3 authors...
Abstract The rapid development new generation of information technologies facilitate the emergence of cyber-physical production system (CPPS) which could pave a way to exploring new smart manufacturing solutions. Digital twin (DT) is the technical core for establishing CPPS in the context of industry 4.0. Developing an easy-to-deploy and simple-to-use DT-based CPPS is a critical research gap. In this paper, a systemic framework is proposed to provide guidelines for rapid system configuration and...
1 CitationsSource
#1Elisa Negri (Polytechnic University of Milan)H-Index: 9
#2Stefano Berardi (Polytechnic University of Milan)
Last. Marco Macchi (Polytechnic University of Milan)H-Index: 15
view all 4 authors...
Abstract Industry 4.0-based manufacturing systems are equipped with Cyber-Physical Systems that are characterized by a strong interlinkage between the real world and the digital one: actions in one world have an impact on the other. In this paradigm, Digital Twins (DT) are defined as simulation models that are both getting data from the field and triggering actions on the physical equipment. However, most of the claimed DT in literature are only replicating the real system in a synchronized fash...
Source
#1Zuan Gu (NU: Northeastern University)
#2Tianhan Gao (NU: Northeastern University)H-Index: 1
Last. Tianhan Gao (NU: Northeastern University)
view all 2 authors...
Digital twin has developed rapidly during the last two years, which provides a digital transformation from physical space to virtual space for real-time prediction, monitoring, control and optimization in industry. The visualization particle system based on mechanism model data can expand the digital twin to more fields since it is hard to directly observe the data in the production process, such as fluid, gas, and high-temperature raw materials. Although mechanism model is good at resolving the...
Source
#1Dashi Nazarov (QMUL: Queen Mary University of London)
#2Anton Klarin (ECU: Edith Cowan University)H-Index: 2
Source
#1Eugene Y. C. Wong (HKU: University of Hong Kong)
#2Daniel Y. Mo (HKU: University of Hong Kong)
Last. Stuart So (HKU: University of Hong Kong)H-Index: 1
view all 3 authors...
Air cargo loading in terminals demands precise planning to ensure efficient operations and minimise costs with limited time in the airport. Real-time visualisation and loading optimisation are beco...
Source
#1Robert X. Gao (Case Western Reserve University)H-Index: 36
#2Lihui Wang (KTH: Royal Institute of Technology)H-Index: 40
Last. Roberto Teti (University of Naples Federico II)H-Index: 23
view all 4 authors...
Abstract Continued advancement of sensors has led to an ever-increasing amount of data of various physical nature to be acquired from production lines. As rich information relevant to the machines and processes are embedded within these “big data”, how to effectively and efficiently discover patterns in the big data to enhance productivity and economy has become both a challenge and an opportunity. This paper discusses essential elements of and promising solutions enabled by data science that ar...
Source
#1Yunkun Xie (Hunan University)H-Index: 2
#2Yangyang Li (Hunan University)H-Index: 6
Last. Xiongbo Duan (Hunan University)H-Index: 7
view all 8 authors...
Abstract In order to predict and study the effects of different parameters on performance characteristics of electric vehicles. A vehicle simulation model of pure battery electric vehicles equipped with single pedal control system is established and calibrated by the experimental data based on vehicle energy flow and driving range analysis, the simulation doesn’t include thermal aspect of the battery/vehicle. Next, the effects of different environmental and control parameters on energy consumpti...
1 CitationsSource
#1Xin Tong (Beihang University)H-Index: 2
#2Qiang Liu (Beihang University)H-Index: 64
Last. Yao Xiao (Beihang University)H-Index: 1
view all 4 authors...
With the development of manufacturing, machining data applications are becoming a key technological component of enhancing the intelligence of manufacturing. The new generation of machine tools should be digitalized, highly efficient, network-accessible and intelligent. An intelligent machine tool (IMT) driven by the digital twin provides a superior solution for the development of intelligent manufacturing. In this paper, a real-time machining data application and service based on IMT digital tw...
4 CitationsSource
#1Moritz Glatt (TUK: Kaiserslautern University of Technology)H-Index: 2
#2Chantal Sinnwell (TUK: Kaiserslautern University of Technology)H-Index: 2
Last. Jan C. Aurich (TUK: Kaiserslautern University of Technology)H-Index: 27
view all 6 authors...
Abstract Cyber-physical production systems enable adaptivity and flexibility when manufacturing customized products in small batches. Due to varying routes and a high variance of workpieces, material flows in cyber-physical production systems can get highly complex, which can lead to physically induced disturbances that can result in accidents or decreased throughput and high costs. This issue can be addressed by applying a physics engine to simulate the physical interaction between workpieces a...
Source