13–17 Sept 2021 Virtual Conference
Virtual
Europe/Vienna timezone
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Investigation of the suitability of AM simulation approaches and validation in the development of tools for use in the multi-stage deep drawing process

15 Sept 2021, 17:30
20m
Room 14

Room 14

Oral Presentation G3. Additive manufacturing: From research to industrial application G3_Additive manufacturing: from research to industrial application

Speaker

Mr Bakir Mehic (University of Applied Sciences Upper Austria, Austria / IMAT, Graz University of Technology, Austria)

Description

In multi-stage deep drawing, the local temperature development during forming and the mechanical stress on the active parts of tools and sheets are important factors for their tool life. As a result, the quality of deep-drawn parts is also affected. Additive manufacturing (AM), especially selective laser melting, offers the possibility of manufacturing tools adapted to the respective process step. These SLM-fabricated tools help to increase the quality of the deep-drawn components and at the same time to reduce stresses during the forming process.
The parameterization of the manufacturing process but also the properties of the used powder material play a major role. Small deviations from the ideal state lead to considerable differences in the quality of the components. In order to ensure reproducibility and to obtain optimal component properties, the initial conditions must remain the same, which is not the usual approach in many cases.
The topic of the project is the selection of suitable powder materials and SLM machines for the production of tools that can be used for multi-stage deep drawing. A comparison of current additive manufacturing simulation approaches is made and presented in relation to the real process.
These AM-tools meet the requirements in terms of increasing the quality of the components in combination with a reduction of process forces. It is shown that small changes in the initial conditions during the SLM-process lead to drastic differences in terms of distortion and accuracy of the components under consideration. Furthermore, the results show that purely mechanical simulations with calibration can effectively map and predict the SLM process in a resource-saving way.

Speaker Country Austria

Author

Mr Bakir Mehic (University of Applied Sciences Upper Austria, Austria / IMAT, Graz University of Technology, Austria)

Co-authors

Prof. Aziz Huskic (University of Applied Sciences Upper Austria, Austria) Prof. Christof Sommitsch (IMAT, Graz University of Technology, Austria) Mr Markus Unterrainer (MARK Metallwarenfabrik GmbH, Austria) Mr Stefan Augl (University of Applied Sciences Upper Austria, Austria)

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