Real-time co-simulation for the virtual commissioning of production systems

Scheifele, Christian; Verl, Alexander; Riedel, Oliver

doi:10.1016/j.procir.2019.02.104

Cited by 41 publications

(14 citation statements)

References 3 publications

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“…3) Hardware and Software in the Loop: Hardware-in-theloop (HIL) simulation approach, a well-established concept of using a physical object during system development phase in control engineering [306]- [308], can be also considered as a promising approach towards near real-time predictions within digital twin platforms (e.g., see also software-in-theloop (SIL) simulation studies for early design processes [309]- [311]). For example, a real-time co-simulation concept for HIL simulations has been presented in [312] considering the virtual commissioning of production systems. 4) Other Hybridization Techniques: As the constructive criticism of Albert Einstein and many others had helped to develop a better understanding of quantum mechanics [313]- [315], we believe the valuable criticisms coming from domain scientists might help to develop more interpretable ML methodologies for scientific applications.…”

Section: Nonintrusive Data-driven Modelingmentioning

confidence: 99%

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

2020

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A digital twin can be defined as an adaptive model of a complex physical system. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, big data cybernetics, data processing and management tools bring the promise of digital twins and their impact on society closer to reality. Digital twinning is now an important and emerging trend in many applications. Also referred to as a computational megamodel, device shadow, mirrored system, avatar or a synchronized virtual prototype, there can be no doubt that a digital twin plays a transformative role not only in how we design and operate cyber-physical intelligent systems, but also in how we advance the modularity of multi-disciplinary systems to tackle fundamental barriers not addressed by the current, evolutionary modeling practices. In this work, we review the recent status of methodologies and techniques related to the construction of digital twins. Our aim is to provide a detailed coverage of the current challenges and enabling technologies along with recommendations and reflections for various stakeholders.

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Section: Nonintrusive Data-driven Modelingmentioning

confidence: 99%

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

2020

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“…In the domain of CNC machine tools, Shen et al [39] utilize VC to tune the control parameters of the servomotors and to evaluate the kinematic performance of the physical asset. In domains different from the robotics and CNC machine tools, few works claim to use the VC as digital object within DT architectures [15,33,38]. However, in these works VC is utilized to design and verify the control software before its deployment.…”

Section: Virtual Commissioning Within Digital Twin Architecturesmentioning

confidence: 99%

A virtual commissioning based methodology to integrate digital twins into manufacturing systems

Barbieri

Bertuzzi

Capriotti

et al. 2021

Prod. Eng. Res. Devel.

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Digital Twin (DT) is considered a key approach to enhance the system reactivity to uncertain events due to its ability to getting data from the field and triggering actions on the physical asset. Given the modern technological and rapidly changing work environment, it is likely that in the next years companies will need to retrofit their manufacturing systems by integrating DTs. In this context, it is fundamental to define the necessary steps for the development of DTs and for their integration into manufacturing systems through a DT architecture. In response to this issue, a methodology based on Virtual Commissioning is proposed. A stepwise approach is illustrated in which the DT is designed, integrated and verified using a virtual environment. The methodology is validated through the integration of a DT into a flow shop for the implementation of a scheduling reactive to machine breakdown. By following the steps of the proposed methodology, a DT architecture able to improve the makespan of the studied flow shop is developed, suggesting the potential applicability of the approach to industrial manufacturing systems.

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“…A survey regarding the wide field of co-simulation is presented in (Gomes et al 2018). A real-time co-simulation platform for virtual commissioning of production systems is presented in (Scheifele, Verl, and Riedel 2019). In a similar way, virtual commissioning using co-simulation for virtual plants is shown in (Süß, Strahilov, and Diedrich 2015).…”

Section: Related Workmentioning

confidence: 99%

Accurate Robot Simulation for Industrial Manufacturing Processes using FMI and DCP Standards

Shah¹,

Henaff²,

Schiffer³

et al. 2021

Linköping Electronic Conference Proceedings

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Increased demand for customized products and reduced manufacturing times are key drivers towards modern, automated manufacturing systems. Manufacturing companies increasingly rely on simulation models of their manufacturing systems, with the goal to optimize critical production parameters and programming of their industrial assets. Simulation driven optimization concepts like digital twin and virtual commissioning are gaining popularity among manufacturing units to drive production rates higher. Manufacturing systems in the aerospace domain are highly complex, due to component size, tight tolerance requirements, and multi-tier manufacturing processes. Accurate simulations of robots and other programmable assets are needed, in order to lower the risk of collisions and manufacturing down times. In practice, this leads to inhomogeneous and even proprietary simulation environments, with different software interfaces. In this paper we introduce an accurate robotic arm simulation for industrial manufacturing robots that is based on open standards. This simulation environment is based on two open access standards, namely the Functional Mock-up Interface (FMI) and the Distributed Co-Simulation Protocol (DCP). In a virtualized manufacturing process the number of involved stakeholders is significantly higher. Typically, it includes software and simulation tool vendors, next to the robotic system providers. Therefore a modular software architecture based on open access standards is considered beneficial. Due to the fact that passenger aircraft are highly customized, frequent reprogramming of robotic systems is needed. During these component manufacturing processes the challenge is to maintain a high level of accuracy and reliability.

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Real-time co-simulation for the virtual commissioning of production systems

Cited by 41 publications

References 3 publications

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective

A virtual commissioning based methodology to integrate digital twins into manufacturing systems

Accurate Robot Simulation for Industrial Manufacturing Processes using FMI and DCP Standards

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