The virtual commissioning technology applied in the design process of a flexible automation system

Eguti, Carlos Cesar Aparecido; Trabasso, Luı́s Gonzaga

doi:10.1007/s40430-018-1322-2

Cited by 6 publications

(5 citation statements)

References 17 publications

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“…Taguchi's approach optimizes each S/N ratio with respect to its type. S/N ratios are obtained with the following equations [1][2][3][4][5]:…”

Section: Development Of the Topsis Based Taguchi Modelmentioning

confidence: 99%

“…Computer-controlled and highly automated systems developed to produce on the basis of certain part families in order to reduce the times that do not create added value are called Flexible Manufacturing Systems (FMS) [1]. The initial level of FMS is called the flexible manufacturing cell and has a maximum of 3 computer numeric control (CNC) machining centres.…”

Section: Introductionmentioning

confidence: 99%

“…1 Imaginations are gathered from the https://www.festo-didactic.com/ov3/media/customers/1100/00987874001075223761.pdfP1 P2 P3Running the scenario using the real FMC a 3 measured value from machined work-piece surface…”

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confidence: 99%

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Investigation of the Importance of Machine Sequence Flexibility on A Flexible Manufacturing System Performance

İç

Yurdakul

Dengız

et al. 2023

Gazi University Journal of Science

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Machine sequence flexibility is defined as the combination of operation and routing flexibilities in this study. Its importance in performance level of a flexible manufacturing cell (FMC) is investigated in this study. Studies related with the effects of various flexibility types such as routing flexibility are available in the literature. For example, studies related with routing flexibility try to measure the effects of routing flexibility on the performance levels in operation of manufacturing systems under their own manufacturing environments. Similarly, this study also aims to present a performance measurement model based on Taguchi parameter design principles for investigating the effects of different levels of machine sequence flexibility on the performance of a flexible manufacturing cell and obtaining an optimum and robust performance level. Two main performance metrics namely, manufacturing lead time (MLT) and surface roughness (SR) are considered for the optimization of the FMC performance. Robot speed, cutting tool type and work-part material type are taken as the three other input factors to show importance of machine sequence flexibility with respect to the other inputs. The study presented in this paper points that machine sequence flexibility is the most effective input factor among the four input factors in the performance of the FMC.

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“…Taguchi's approach optimizes each S/N ratio with respect to its type. S/N ratios are obtained with the following equations [1][2][3][4][5]:…”

Section: Development Of the Topsis Based Taguchi Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Investigation of the Importance of Machine Sequence Flexibility on A Flexible Manufacturing System Performance

İç

Yurdakul

Dengız

et al. 2023

Gazi University Journal of Science

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“…This makes it possible for different engineers to work together simultaneously, reducing the designing time [24]. Additionally, it allows for possible errors to be detected and corrected, improving the performance of the entire robotic cell prior to its installation [25][26][27].…”

Section: Related Workmentioning

confidence: 99%

Engineering Method and Tool for the Complete Virtual Commissioning of Robotic Cells

Raffaeli

Bilancia

Neri³

et al. 2022

Applied Sciences

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Intelligent robotic manufacturing cells must adapt to ever-varying operating conditions, developing autonomously optimal manufacturing strategies to achieve the best quality and overall productivity. Intelligent and cognitive behaviors are realized by using distributed controllers, in which complex control logics must interact and process a wide variety of input/output signals. In particular, programmable logic controllers (PLCs) and robot controllers must be coordinated and integrated. Then, there is the need to simulate the robotic cells’ behavior for performance verification and optimization by evaluating the effects of both PLC and robot control codes. In this context, this work proposes a method, and its implementation into an integrated tool, to exploit the potential of ABB RobotStudio software as a virtual prototyping platform for robotic cells, in which real robots control codes are executed on a virtual controller and integrated with Beckhoff PLC environment. For this purpose, a PLC Smart Component was conceived as an extension of RobotStudio functionalities to exchange signals with a TwinCAT instance. The new module allows the virtual commissioning of a complete robotic cell to be performed, assessing the control logics effects on the overall productivity. The solution is demonstrated on a robotic assembly cell, showing its feasibility and effectiveness in optimizing the final performance.

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“…The virtual commissioning of the robotic systems has therefore its pitfalls. The idea is that programs should be tested virtually in advance to eliminate design flaws at an early stage and to verify information flows between PLCs and robots [25]. All these preparations help to design and operate a robotic workplace much faster and more efficiently [26].…”

Section: Impact Of Control Hierarchy On the Behaviour Of Simulation D...mentioning

confidence: 99%

The Role of a Behavioural Model for the Virtual Commissioning of Robotic Manufacturing Systems

Skýpala

Ružarovský

2022

Research Papers Faculty of Materials Science and Technology Slovak University of Technology

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This paper focuses on virtual commissioning of a robotic manufacturing system, its theoretical background, and an analysis of its importance in the design of automated and robotic systems. Virtual commissioning allows the PLC control program to be tested and debugged on a created digital model of the machine, called a digital twin of the machine. Just this solution can simulate and optimize the automated system design itself without the need to have real hardware (PLC, automation elements, or the whole machine/equipment). Virtual commissioning offers an effective alternative to reduce the risks and effort of real commissioning of the machine. This makes it possible to reduce the time to market and increase flexibility, efficiency, and quality. Virtual commissioning in a single-control system is a simple solution; we can either use the Software-in-the-Loop method with emulated PLC control, simulated behavioural model, and co-simulation model or Hardware-in-the-Loop method with real controller. The problem appears when we have various types of controller, including an industrial robot controller. The paper deals with the theoretical background and partial outlines of solutions in the use of different types of the control system, if interconnections or emulators for different control systems are available. The recommended solution is to use a separate solution for the 3D simulation of the robotic system and an independent solution for the behavioural model, which will be tested in the future.

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The virtual commissioning technology applied in the design process of a flexible automation system

Cited by 6 publications

References 17 publications

Investigation of the Importance of Machine Sequence Flexibility on A Flexible Manufacturing System Performance

Investigation of the Importance of Machine Sequence Flexibility on A Flexible Manufacturing System Performance

Engineering Method and Tool for the Complete Virtual Commissioning of Robotic Cells

The Role of a Behavioural Model for the Virtual Commissioning of Robotic Manufacturing Systems

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