VIRTUAL COMMISSIONING AS PART OF NEW MACHINE IMPLEMENTATION

The article provides practical insights into the development of a specialized machine for automating the assembly of components based on customer-specified parameters. The initial design undergoes a risk analysis in accordance with the EN ISO 13849 standard, ensuring safety compliance. For the software aspect, we create sequences and algorithms for the machine's individual components using standardized formats within the TIA Portal software. To expedite programming and real-time debugging, a virtual commissioning approach utilising the fe.screen-sim program is employed. This allows us to address any issues or deficiencies in the virtual model, which mirrors the actual machine, optimizing the time needed for final physical adjustments.

Authors

Publication Details

Journal
MM Science Journal
Published
2024-12-04
DOI
https://doi.org/10.17973/mmsj.2024_12_2024090
Primary Topic
Scheduling and Optimization Algorithms
Type
article
Field-Weighted Citation Impact
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article

VIRTUAL COMMISSIONING AS PART OF NEW MACHINE IMPLEMENTATION

Pavol Kuchár, Juraj Ždánsky, Aleš Janota, Marián Hruboš
MM Science Journal
Scheduling and Optimization Algorithms
article

VIRTUAL COMMISSIONING AS PART OF NEW MACHINE IMPLEMENTATION

Pavol Kuchár, Juraj Ždánsky, Aleš Janota, Marián Hruboš
article en

Abstract

The article provides practical insights into the development of a specialized machine for automating the assembly of components based on customer-specified parameters. The initial design undergoes a risk analysis in accordance with the EN ISO 13849 standard, ensuring safety compliance. For the software aspect, we create sequences and algorithms for the machine's individual components using standardized formats within the TIA Portal software. To expedite programming and real-time debugging, a virtual commissioning approach utilising the fe.screen-sim program is employed. This allows us to address any issues or deficiencies in the virtual model, which mirrors the actual machine, optimizing the time needed for final physical adjustments.

MM Science JournalVol. 2024(6)
Openalex Percentile: Top 68%
Scheduling and Optimization Algorithms
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