Dynamic model of the weighing process of an industrial combination scale: model development and simulative analysis of the product impact force

  • This work shows a weighing product model that characterizes the processes of product impact during the weighing procedure of a combination scale. Unfortunately, the product impact force does not exist as a sensor quantity and is difficult to measure. Another complicating factor in developing a product model is the large variety of products and their fall behaviour. Even with identical product properties, falling comprises strong stochastic influence. With the help of a discrete element method simulation model it was possible to directly calculate the product impact force. More than 20 different products were tested. The simulation can reproduce the random fall behaviour. Based on these analyses, a real-time capable product model was derived. The model is able to generate impact curves based on portion weight, particle weight, impact time, drop height, and impact duration. Impact duration and time of impact of an individual particle are changing based on random variables. Due toThis work shows a weighing product model that characterizes the processes of product impact during the weighing procedure of a combination scale. Unfortunately, the product impact force does not exist as a sensor quantity and is difficult to measure. Another complicating factor in developing a product model is the large variety of products and their fall behaviour. Even with identical product properties, falling comprises strong stochastic influence. With the help of a discrete element method simulation model it was possible to directly calculate the product impact force. More than 20 different products were tested. The simulation can reproduce the random fall behaviour. Based on these analyses, a real-time capable product model was derived. The model is able to generate impact curves based on portion weight, particle weight, impact time, drop height, and impact duration. Impact duration and time of impact of an individual particle are changing based on random variables. Due to simplifications, restitution coefficient and particle shape is not considered. With larger particles there are deviations in comparison of simulation and product model. Due to the low computational effort, the model could be used, for example, as a system input for a real time capable model of a weighing station.show moreshow less

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Metadaten
Author:Felix Profe, Lucas Kostetzer, Christoph AmentORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1200287
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/120028
ISBN:978-989-758-670-5OPAC
Parent Title (English):Proceedings of the 20th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2023), 13-15 November 2023, Rome, Italy, volume 2
Publisher:SciTePress
Place of publication:Setúbal
Editor:Giuseppina Gini, Henk Nijmeijer, Dimitar Filev
Type:Conference Proceeding
Language:English
Year of first Publication:2023
Publishing Institution:Universität Augsburg
Release Date:2025/03/12
First Page:150
Last Page:157
DOI:https://doi.org/10.5220/0012187800003543
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Ingenieurinformatik mit Schwerpunkt Regelungstechnik
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Licence (German):License LogoCC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)