scholarly journals Challenges of additive manufacturing in production systems

2019 ◽  
Vol 299 ◽  
pp. 01003
Author(s):  
Angela Luft ◽  
Andreas Gebhardt ◽  
Nicolae Balc
Keyword(s):  
Additive Manufacturing ◽  
Cost Efficiency ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Cyber Physical Systems ◽  
Current Approach ◽  
Physical Systems ◽  
Interdisciplinary Approaches ◽  
Wide Adaptation ◽  
Modern Manufacturing

Additive Manufacturing (AM) has become indispensable in the context of digitalization and Industry 4.0 and is said to be a mega trend of the 21st century. The technology offers immense opportunities to revolutionize the production of parts and components in all industries. Despite of the outstanding technical possibilities, the industry-wide adaptation rate is low. The current approach of looking at AM from a mostly technological view is a major reason for this. The challenge is to efficiently integrate 3D printing and other additive processes into existing manufacturing processes and systems. AM must be perceived as a multidimensional topic and viewed from different perspectives, two of which are the AM technology and the planning and management of production systems. These two perspectives have to be addressed simultaneously and cross-linked. In order to use AM to tackle some of the most challenging problems in modern manufacturing systems like increasing variant diversity, shorter product lifecycles, the demand for digitized processes and cyber-physical systems, it is necessary to develop interdisciplinary approaches and solutions, because none of the disciplines can reach the necessary performance and cost-efficiency alone.

scholarly journals MODEL-BASED DESIGN OF AM COMPONENTS TO ENABLE DECENTRALIZED DIGITAL MANUFACTURING SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Data Generation ◽  
Production Networks ◽  
Model Based ◽  
Manufacturing Technologies ◽  
Am Processes ◽  
Final Consumer

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.

scholarly journals V-model based development of cyber-physical systems and cyber-physical production systems

Procedia CIRP ◽  
2021 ◽  
Vol 100 ◽  
pp. 253-258
Author(s):  
Iris Gräßler ◽  
Dominik Wiechel ◽  
Daniel Roesmann ◽  
Henrik Thiele
Keyword(s):  
Production Systems ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Model Based ◽  
Cyber Physical Production Systems

Step-based evolution support among networked production automation systems

2018 ◽  
Vol 66 (10) ◽  
pp. 849-858
Author(s):  
Christopher Haubeck ◽  
Heiko Bornholdt ◽  
Winfried Lamersdorf ◽  
Abhishek Chakraborty ◽  
Alexander Fay
Keyword(s):  
Production Systems ◽  
Cyber Physical Systems ◽  
Peer To Peer ◽  
Evolution Process ◽  
Physical Systems ◽  
Model Based ◽  
Automation Systems ◽  
Production Automation ◽  
Isolated Systems

Abstract Production systems are no longer rigid, unyielding, and isolated systems anymore. They are rather interconnected cyber-physical systems with an evolution process that needs to be supported. To enable reusability in evolution, a change-first cooperative support is proposed that relies on model-based evolution steps. The approach establishes a network-wide evolution process in a peer-to-peer networked community. Thus, moving towards decentralised marketplaces for evolution steps.

Cyber-Physical Manufacturing Systems

2019 ◽  
Vol 2 (1) ◽  
pp. 427-443 ◽  
Author(s):  
Dawn M. Tilbury
Keyword(s):  
Manufacturing Systems ◽  
Computer Numerical Control ◽  
Cyber Physical Systems ◽  
Numerical Control ◽  
Programmable Logic ◽  
Programmable Logic Controllers ◽  
Physical Systems ◽  
Multiple Levels ◽  
Networking Technologies ◽  
Logic Controllers

Cyber-physical systems, in which computation and networking technologies interact with physical systems, have made great strides into manufacturing systems. From the early days, when electromechanical relays were used to automate conveyors and machines, through the introduction of programmable logic controllers and computer numerical control, computing and networking have become pervasive in manufacturing systems. By increasing the amount of automation at multiple levels within a factory and across the enterprise, cyber-physical manufacturing systems enable higher productivity and higher quality as well as lower costs.

Enabling Interoperability Between Serious Game and Virtual Engineering Ecosystems

2014 ◽  
Author(s):  
Ioana Andreea Stanescu ◽  
Aurelian Mihai Stanescu ◽  
Mihnea Moisescu ◽  
Ioan Stefan Sacala ◽  
Antoniu Stefan ◽  
...  
Keyword(s):  
Cost Efficiency ◽  
Cyber Physical Systems ◽  
Serious Game ◽  
Key Factors ◽  
Physical Systems ◽  
New Horizons ◽  
Virtual Engineering ◽  
Enterprise Agility ◽  
The Cost ◽  
Organizational View

Interoperability and reusability stand out as key factors that nurture the cost-efficiency, quality and expansion of Serious Game Ecosystems (SGE). This paper builds upon the blooming development of SGE and explores the new horizons SGE have brought for the enhancement of virtual engineering technologies and applications. The authors consider the integration of SGE into the Virtual Engineering and Systems (VES) workflow. SGEs are becoming an important component in enterprise agility and sustainability. In this context, the authors propose an Interoperability SGE Framework to facilitate reusability and interconnection within Game-based VES. The framework focuses on data, information, services, processes and organization interoperability and proposes a technical, cyber-physical, functional and organizational view. The integration of Cyber-Physical Systems with SGEs enable the development of new paradigms and game models including sensor and actuator integration, context sensing, smart environments and sensing objects.

Direct Digital Additive Manufacturing and Cyber-Enabled Manufacturing Systems

2012 ◽  
Author(s):  
Khershed P. Cooper
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Complex Geometry ◽  
Basic Research ◽  
Naval Research ◽  
Physical Processes ◽  
Physical Systems ◽  
Office Of Naval Research ◽  
And Control ◽  
Manufacturing Problems

The technology of direct digital additive manufacturing (D2AM) has received considerable attention in recent months. Several government agencies and commercial interests are planning to explore D2AM to find solutions to manufacturing problems. The attraction of D2AM is the benefit of rapidly producing without fixtures or tools or human intervention customized objects of complex geometry not possible by traditional methods. The interest in D2AM ranges from fabrication of critical, high value aerospace metallic components to fabrication of objects having an organic look or as nature would have intendedi. For D2AM to be commercially accepted, it must reliably and predictably make products. It must achieve consistency in reproducibility across relevant D2AM methods. The Office of Naval Research (ONR) has launched a new basic research program, known as Cyber-enabled Manufacturing Systems (CeMS). The long-range goal of the program is to achieve the level of control over D2AM processes for industrial acceptance and wide-use of the technology. This program will develop measuring, sensing and control models and algorithms for D2AM by harnessing principles underpinning cyber-physical systems (CPS) and fundamentals of physical processes. This paper describes the challenges facing D2AM and the CeMS program goals to meet them.

Multi-scale approach from mechatronic to Cyber-Physical Systems for the design of manufacturing systems

2017 ◽  
Vol 86 ◽  
pp. 52-69 ◽  
Author(s):  
Olivia Penas ◽  
Régis Plateaux ◽  
Stanislao Patalano ◽  
Moncef Hammadi
Keyword(s):  
Manufacturing Systems ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Multi Scale

scholarly journals Role of Ontologies for CPS Implementation in Manufacturing

2015 ◽  
Vol 6 (4) ◽  
pp. 26-32 ◽  
Author(s):  
Marco Garetti ◽  
Luca Fumagalli ◽  
Elisa Negri
Keyword(s):  
Domain Knowledge ◽  
Manufacturing Systems ◽  
Manufacturing System ◽  
Cyber Physical Systems ◽  
Physical Systems ◽  
Network Connection ◽  
Manufacturing Applications ◽  
And Storage ◽  
Embedded Intelligence

Abstract Cyber Physical Systems are an evolution of embedded systems featuring a tight combination of collaborating computational elements that control physical entities. CPSs promise a great potential of innovation in many areas including manufacturing and production. This is because we obtain a very powerful, flexible, modular infrastructure allowing easy (re) configurability and fast ramp-up of manufacturing applications by building a manufacturing system with modular mechatronic components (for machining, transportation and storage) and embedded intelligence, by integrating them into a system, through a network connection. However, when building such kind of architectures, the way to supply the needed domain knowledge to real manufacturing applications arises as a problem to solve. In fact, a CPS based architecture for manufacturing is made of smart but independent manufacturing components without any knowledge of the role they have to play together in the real world of manufacturing applications. Ontologies can supply such kind of knowledge, playing a very important role in CPS for manufacturing. The paper deals with this intriguing theme, also presenting an implementation of this approach in a research project for the open automation of manufacturing systems, in which the power of CPS is complemented by the support of an ontology of the manufacturing domain.

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