Tag Archives: Industry 4.0

842–851 P. Hnízdil, R. Chotěborský and J. Kuře
Utilization of fused deposition method 3D printing for evaluation of discrete element method simulations
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Utilization of fused deposition method 3D printing for evaluation of discrete element method simulations

P. Hnízdil¹, R. Chotěborský¹* and J. Kuře²

¹Department of Material Science and Manufacturing Technology, Faculty of Engineering, Czech University of Life Science Prague, Kamycka 129, CZ165 00 Prague – Suchdol, Czech Republic
²Department of Electrical Engineering and Automation, Faculty of Engineering, Czech University of Life Sciences Prague, Kamycka 129, CZ165 21 Prague – Suchdol, Czech Republic
*Correspondence: choteborsky@tf.czu.cz

Abstract:

FDM 3D printing is used for designing prototype assessment in engineering production. It is usually used to verify the functionality of kinematics mechanisms. It can also be used for innovation in agricultural production, eg. the development of new mechanisms for agriculture tools. Such a mechanism as well as the entire components is printed using FDM and they are made of plastics. This whole can be experimentally verified in a laboratory trough. The article deals with the verification of the possibilities of using FDM technology for the design of agricultural tools. The material properties, namely stress-strain, of the plastics after printing are entered into the Ansys mechanical library, and the DEM results are also imported into Ansys mechanical. Material properties of plastics for FDM technology such as PLA, PETG show that its mechanical properties limited their using for validation.

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989–999 T. Schlechter, R. Froschauer and A. Bronowicka-Schlechter
Towards a business and production engineering concept for individual beer brewing applying digitalization methodologies
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Towards a business and production engineering concept for individual beer brewing applying digitalization methodologies

T. Schlechter¹*, R. Froschauer¹ and A. Bronowicka-Schlechter²

¹University of Applied Sciences Upper Austria, Automotive Mechatronics and Management, Stelzhamer str. 23, AT4600 Wels, Austria
²Salzburg Schokolade GmbH, Hauptstraße 14, AT5082 Grödig, Austria
*Correspondence: thomas.schlechter@ieee.org

Abstract:

Individualization is a common trend in many fields of production across the industries. Also in the food sector, significant changes can be observed. For many products, individual offerings towards the customer are meanwhile either mandatory or at least help to increase the sales and revenue. Somehow, individual product design and production contradicts scaling effects, which are especially important for food production. On the other hand, as digitalization is implemented in a fairly limited way in the food sector, currently great chances can be observed to build a unique selling proposition and consequently gain market share by implementing appropriate measures to enable a digital food factory. This is where the proposed idea comes into the game. The starting point is the idea to produce individually developed beer and ship it to the individual customer. The beer can be designed on a web page based on typical parameters, like beer type, bitterness, colour, or alcohol concentration. In an expert mode, individual beer creations may be thoughtful, allowing the creation of completely individual recipes (for sure, not guaranteeing the customer a perfect drinking experience). In any way, the data from the web page is directly fed to the brewing equipment in the brewing facility. There, using newly to be developed specialized machines, the individually ordered beer will be produced automatically. In this paper we discuss the individual challenges at each point in the production cycles and propose solutions to those.

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94-102 M.H. Jørgensen
Agricultural field production in an ‘Industry 4.0’ concept
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Agricultural field production in an ‘Industry 4.0’ concept

M.H. Jørgensen

University of Southern Denmark, Maersk Mc-Kinney Moller Institute, Campusvej 55, DK5230 Odense M, Denmark
*Correspondence: MAHEJ@mmmi.sdu.dk

Abstract:

Precision Agriculture is a well-established concept in agricultural field production. It has developed over the last three decades. As part of this concept, farmers are used to collect and handle data. Farmers are also used to create solutions for field operations based on their knowledge of diversity and local data.
When compared to classic industrial production, agricultural field operations interact with a biologically-active system. From a production management system point of view, industrial production takes place in close, well-defined environments in which performance data can, to a great extent, be measured by deterministic matters: mass (kg), volume/dimensions (m3/m), time (sec), etc.
In agricultural operations such as work involving tillage, seeding, fertilising, and plant care, there are by nature a good many possible adjustments available in order to optimise the operation method, plus intensity and timing. The challenge here is to establish the levels of knowledge that are necessary to support the control of the individual and/or graduated, precision-based operations. Within this context, parameters such as, for example, the workability of the soil cannot be defined in terms of a few deterministic parameters. Neither can the operational impact upon the soil which is made by the tools being used. It is assumed that this challenge is part of the reason why the concept of precision agriculture still contains a great deal of unutilised potential. The hypothesis raised by this article is that analysis should be carried out in regard to whether inspiration for the concept of an ‘Industry 4.0’ can facilitate the establishment of operational solutions in the field of precision farming.

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