Towards digital twins through object-oriented modelling: a machine tool case study

Scaglioni, Bruno; Ferretti, Gianni

doi:10.1016/j.ifacol.2018.03.104

Cited by 32 publications

(17 citation statements)

References 3 publications

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“…The DTS incorporates information related to the shop-floor, sensor signals, and historical data to monitor the shop-floor and optimizing the process plans. Scaglioni and Ferretti [38] introduced object-oriented modeling to create a DT of a machine tool. The DT comprises an FEM-based description of the structural flexibility of the components of the kinematic structure, the model of the cutting process, the model of the transmission chain, the model of the control system, and the sensor signals.…”

Section: Literature Reviewmentioning

confidence: 99%

Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness

Ghosh

Ullah

Kubo

et al. 2020

JMMP

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Industry 4.0 requires phenomenon twins to functionalize the relevant systems (e.g., cyber-physical systems). A phenomenon twin means a computable virtual abstraction of a real phenomenon. In order to systematize the construction process of a phenomenon twin, this study proposes a system defined as the phenomenon twin construction system. It consists of three components, namely the input, processing, and output components. Among these components, the processing component is the most critical one that digitally models, simulates, and validates a given phenomenon extracting information from the input component. What kind of modeling, simulation, and validation approaches should be used while constructing the processing component for a given phenomenon is a research question. This study answers this question using the case of surface roughness-a complex phenomenon associated with all material removal processes. Accordingly, this study shows that for modeling the surface roughness of a machined surface, the approach called semantic modeling is more effective than the conventional approach called the Markov chain. It is also found that to validate whether or not a simulated surface roughness resembles the expected roughness, the outcomes of the possibility distribution-based computing and DNA-based computing are more effective than the outcomes of a conventional computing wherein the arithmetic mean height of surface roughness is calculated. Thus, apart from the conventional computing approaches, the leading edge computational intelligence-based approaches can digitize manufacturing processes more effectively.understanding, predicting, decision-making, and adapting [2,[4][5][6][7]. To achieve the above-mentioned requirements, Industry 4.0 requires some knowledge-centric embedded systems such as the Internet of Things (IoT), the Industrial Internet of Things (IIoT), and Cyber-Physical Systems (CPS) [8][9][10][11][12]. Consider CPS. These systems are nothing but ever-growing knowledge-based systems that ensure a seamless merger between the physical and cyber worlds [6,10,13,14]. The physical world refers to the manufacturing enablers (e.g., machines, tools, sensors, physical networks among computing devices, actuators, robots, computers, and the like). These are needed to perform the manufacturing activities in the real world. These enablers are linked with each other by the Internet-based infrastructures (e.g., IoT). On the other hand, the cyber world refers to the computational entities (e.g., data analytics, knowledge-based systems, algorithms, decision-making systems, and the like) and cloud-based data storage systems (e.g., historical data, information, big data, and the like). In order to materialize the CPS, the IoT-based enablers, cloud-based data storage systems, and manufacturing knowledge-bases interact with each other whenever needed; this scenario is shown in Figure 1. As seen in Figure 1, the Industry 4.0-based CPS contains Digital Twins (DTs), among others. By definition, a DT means a computable virtual ab...

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Section: Literature Reviewmentioning

confidence: 99%

Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness

Ghosh

Ullah

Kubo

et al. 2020

JMMP

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“…Furthermore, even the manipulations of the system of equations necessary to eliminate the constraint reactions from the equations of motion are in contrast with a true modular approach. On the other hand, object-oriented modeling seems to be particularly suitable for the creation of DT, in which it is able to guarantee a true modular multi-domain approach to modeling (Scaglioni and Ferretti 2018).…”

Section: Introductionmentioning

confidence: 99%

Object-Oriented Models of Parallel Manipulators

Campanini¹,

Ferretti²

2021

Linköping Electronic Conference Proceedings

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In this paper, the development of models of parallel manipulator is described, based on components of the Modelica standard library only. At first, the dynamic model of a Delta robot is illustrated and validated with respect to experimental data. Then, the model of a Stewart platform is discussed. Thanks to the symbolic manipulation capabilities of the OpenModelica compiler, the model is then used to automatically generate the inverse dynamics, which is in general is a quite difficult task.

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“…Digital twin is complete virtual prototype of an entire system, which can real-time reflect the entire life cycle of a physical device or product [5]. The dynamic model of a machine tool as a basic component for the setup of a digital twin of the working process is presented in [6]. The main features of the model are the FEM-based description of the structural flexibility of the components of the kinematic structure, the model of the cutting process and the model of the transmission chains and of the control systems.…”

Section: Introductionmentioning

confidence: 99%

Simulation of compensated tool path through virtual robot machining model

Slavković

Živanović

Kokotović

et al. 2020

J Braz. Soc. Mech. Sci. Eng.

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Nowadays, industrial robots could be a successful alternative to machine tools for milling of large parts with complex geometry. As it is known, poor accuracy which is most influenced by the stiffness of robot structure is recognized as a limiting factor for successful use of robots in milling tasks. Since there are different sources of error in robots, virtual manufacturing systems provide a useful means for products to be manufactured without the need of physical testing on the shop floor. This paper presents the developed virtual robot machining model, as a part of digital twin, for the simulation of a modified tool path generated by the compensation algorithm for the errors induced by cutting forces due to robot compliance. This part of digital twin includes the robot kinematic model, the Cartesian space robot compliance model, the model of cutting forces and the developed program based on off-line compensation algorithm. Development of such virtual robot machining model is important for the validation of modified tool path before the machining on a real robot. The developed virtual robot machining model is verified via several experiments, where the simulated surfaces are compared with the real machined surfaces generated by tool movement through a modified, i.e., corrected, trajectory on an available industrial robot programmed in G-code.

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Towards digital twins through object-oriented modelling: a machine tool case study

Cited by 32 publications

References 3 publications

Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness

Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness

Object-Oriented Models of Parallel Manipulators

Simulation of compensated tool path through virtual robot machining model

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