Methodik zur Automatisierung der additiven Prozesskette mit Pulverbettverfahren; 1. Auflage
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| Název: | Methodik zur Automatisierung der additiven Prozesskette mit Pulverbettverfahren; 1. Auflage |
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| Autoři: | Horstkotte, Rainer |
| Informace o vydavateli: | RWTH Aachen University, 2024. |
| Rok vydání: | 2024 |
| Témata: | additive manufacturing, AM, automation, Laser Powder Bed Fusion, L-PBF, process chain, process optimization, Hochschulschrift |
| Popis: | Additive manufacturing is gaining acceptance in industry as a powerful technology for producing complex products. In particular, powder bed-based manufacturing processes such as Laser Powder Bed Fusion (LPBF) are highly relevant to industry. The mechanical properties of additively manufactured parts are comparable to those of conventional manufacturing processes, but additional process steps are required for further processing. According to the current state, the additive manufacturing process itself and the further processing steps are largely automated. However, the non-value-adding activities in particular require a high proportion of manual work. Within the scope of this dissertation, a methodology for the automation of the additive process chain was developed, which addresses both manufacturing technology and economic objectives. Based on requirements from research and industry, the methodology consists of four consecutive phases. The goal of the first phase is to create a data base by systematically gathering available information about the component portfolio, the process chain, and the existing production equipment and peripheral systems, and to determine the degree of automation. In the generation phase, a mathematical optimization model is used to generate various automation concepts based on algorithms, which are then specified in terms of production technology. The third phase of the methodology is the detailing phase, which is used to quantify manufacturing and economic key performance indicators. A material flow simulation is used to determine the resulting lead times and other indicators for predicting production capacity for different concepts. Finally, the selection phase is used for the final determination of the automation concept based on individual target criteria. The methodology developed in this dissertation for the automation of the additive process chain with powder bed processes is the first holistic approach for the cross-technology generation and evaluation of automation concepts. Its applicability is particularly high due to the prototypical software implementations. Companies with an additive process chain are enabled to develop automation concepts according to their requirements, to detail them in terms of key performance indicators and finally to select the optimal concept. Dissertation, RWTH Aachen University, 2024; Aachen : Apprimus Verlag, Innovations in manufacturing technology 2025,1 1 Online-Ressource : Illustrationen (2025). = Dissertation, RWTH Aachen University, 2024 Published by Apprimus Verlag, Aachen |
| Druh dokumentu: | Book |
| Jazyk: | German |
| DOI: | 10.18154/rwth-2025-03685 |
| Přístupové číslo: | edsair.doi...........223f6c2c9ea6edc6656f2553ff79cd9b |
| Databáze: | OpenAIRE |
Nájsť tento článok vo Web of Science | Abstrakt: | Additive manufacturing is gaining acceptance in industry as a powerful technology for producing complex products. In particular, powder bed-based manufacturing processes such as Laser Powder Bed Fusion (LPBF) are highly relevant to industry. The mechanical properties of additively manufactured parts are comparable to those of conventional manufacturing processes, but additional process steps are required for further processing. According to the current state, the additive manufacturing process itself and the further processing steps are largely automated. However, the non-value-adding activities in particular require a high proportion of manual work. Within the scope of this dissertation, a methodology for the automation of the additive process chain was developed, which addresses both manufacturing technology and economic objectives. Based on requirements from research and industry, the methodology consists of four consecutive phases. The goal of the first phase is to create a data base by systematically gathering available information about the component portfolio, the process chain, and the existing production equipment and peripheral systems, and to determine the degree of automation. In the generation phase, a mathematical optimization model is used to generate various automation concepts based on algorithms, which are then specified in terms of production technology. The third phase of the methodology is the detailing phase, which is used to quantify manufacturing and economic key performance indicators. A material flow simulation is used to determine the resulting lead times and other indicators for predicting production capacity for different concepts. Finally, the selection phase is used for the final determination of the automation concept based on individual target criteria. The methodology developed in this dissertation for the automation of the additive process chain with powder bed processes is the first holistic approach for the cross-technology generation and evaluation of automation concepts. Its applicability is particularly high due to the prototypical software implementations. Companies with an additive process chain are enabled to develop automation concepts according to their requirements, to detail them in terms of key performance indicators and finally to select the optimal concept.<br />Dissertation, RWTH Aachen University, 2024; Aachen : Apprimus Verlag, Innovations in manufacturing technology 2025,1 1 Online-Ressource : Illustrationen (2025). = Dissertation, RWTH Aachen University, 2024<br />Published by Apprimus Verlag, Aachen |
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| DOI: | 10.18154/rwth-2025-03685 |