Why Education and Training in the Field of Additive Manufacturing is a Necessity

Kirchheim, Andreas; Dennig, Hans-Jörg; Zumofen, Livia

doi:10.1007/978-3-319-66866-6_31

Cited by 13 publications

(8 citation statements)

References 4 publications

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“…is the form freedom, i.e. geometrically complex parts can be realised without additional process time, cost and assembly [14,22]. Two sub-classes of AM techniques for building metal parts are powder bed fusion (PBF) and direct energy deposition (DED).…”

Section: Introductionmentioning

confidence: 99%

Classification and analysis of common simplifications in part-scale thermal modelling of metal additive manufacturing processes

Ranjan

Langelaar

Keulen

et al. 2023

Preprint

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Computational process modelling of metal additive manufacturing has gained significant research attention in recent past. The cornerstone of many process models is the transient thermal response during the AM process. Since modelling the thermal response is computationally expensive, spatial and temporal simplifications, such as simulating deposition of an entire layer or multiple layers, and extending the laser exposure times, are commonly employed in the literature. Although beneficial in reducing computational costs, the influence of these simplifications on the accuracy of temperature history is reported on a case-by-case basis. In this paper, the simplifications from the existing literature are first classified in a normalised simplification space based on assumptions made in spatial and temporal domains. Subsequently, all types of simplifications are investigated with numerical examples and compared with a high-fidelity reference model. The required numerical discretisation for each simplification is established, leading to a fair comparison of computational times. The holistic approach to the suitability of different modelling simplifications for capturing thermal history provides guidelines for the suitability of simplifications while setting up a thermal AM model.

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Section: Introductionmentioning

confidence: 99%

Classification and analysis of common simplifications in part-scale thermal modelling of metal additive manufacturing processes

Ranjan

Langelaar

Keulen

et al. 2023

Preprint

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“…These allow them to apply the technologies in companies and support and industrialize the technologies. This enables the development of the technology and though using it in companies, support the usage of the full potential in company operations [17]. Knowledge embedded in the interactions of people, tools, and tasks forms a basis for competitive advantage in firms.…”

Section: Introductionmentioning

confidence: 99%

The meaning of knowledge transfer in educating engineers for modern manufacturing technologies

Piili,

Huusko,

Kurvinen

et al. 2023

IOP Conf. Ser.: Mater. Sci. Eng.

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The development of modern manufacturing technologies such as additive manufacturing and other laser-based manufacturing technologies have increased their usage, especially in engineering education. Education must correspond to different applications of these technologies to ensure the quality of their usage in the manufacturing industry. Laser-based technologies have an impact on society through companies and industry in the manufacturing sector as they are employing graduated students, who are more aware of the possibilities of the technologies. Traditional manufacturing industries are facing the era of digital transformation. There are vast differences between industries and different industry players as well as their ability to keep up with the transformation process. The pace of the process can depend on many different items that are related to the company organization and leadership, technology base and to the abilities to modify these. The pace can also depend on the processes of cooperation and development between other ecosystem players e.g., supply chain partners or development drivers such as customer industries. This study concentrates on one of the key issues, namely learning and adoption of new skills to tackle the change. Universities have a major role in the knowledge transfer from education to working life. To develop this, there is a need to identify the factors in university training or pedagogical choices that can speed up the process of transformation. The aim of this research is to identify the factors for knowledge transfer through arranging efficient education for laser-based manufacturing technologies, especially in engineering education. It was concluded that by educating engineers with sufficient knowledge about the technologies, the manufacturing industry can utilize the knowledge and implement laser-based technologies better in their operations.

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“…Additive Manufacturing (AM), also known as 3D printing, encompasses a wide variety of techniques that can be commonly defined as processes of joining materials layer by layer from a digitalised model [ 1 , 2 ]. These processes provide a unique framework to build materials with a large amount of complexity while decreasing the need for tool adaptation [ 3 , 4 , 5 ]. Under this scheme, AM is able to reach a high potential of technical part customisation [ 6 , 7 ].…”

Section: Introductionmentioning

confidence: 99%

On the Mechanical Performance of Polylactic Material Reinforced by Ceramic in Fused Filament Fabrication

et al. 2022

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This study addresses the potential of using ceramics-based filaments as a feedstock material in an additive manufacturing process. Tensile specimens of PLA-ceramic (PLC) material are manufactured using a fused deposition modelling process, applying various printing parameters including printing angle and part orientation. Mechanical testing is performed on both the filaments and 3D-printed parts, and the related engineering quantities are derived. The experimental results show that PLC wire properties are substantially restored for the horizontal and lateral printing orientations, with only a 9% reduction in stiffness. In addition, a typical elastic-plastic response is achieved with these orientations, allowing the PLC to achieve excellent stiffness and elongation-at-break performance. The mechanical performance of the PLC is explained by the large proportion of continuous filaments along the loading direction. In addition, the printing angle is found to be a secondary factor allowing for layups at −45°/+45° and 0°/90°, resulting in the best tensile performance. The downside of using PLC is the lack of mechanical transfer, which is associated with weak interfacial behaviour and the inability to achieve high tensile strength.

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Why Education and Training in the Field of Additive Manufacturing is a Necessity

Cited by 13 publications

References 4 publications

Classification and analysis of common simplifications in part-scale thermal modelling of metal additive manufacturing processes

Classification and analysis of common simplifications in part-scale thermal modelling of metal additive manufacturing processes

The meaning of knowledge transfer in educating engineers for modern manufacturing technologies

On the Mechanical Performance of Polylactic Material Reinforced by Ceramic in Fused Filament Fabrication

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