Volume 6, 2019
|Number of page(s)||12|
|Published online||28 May 2019|
Reducing adhesive wear in dry deep drawing of high-alloy steels by using MMC tool
BIAS − Bremer Institut für angewandte Strahltechnik GmbH, 28359 Bremen, Germany
* e-mail: firstname.lastname@example.org
Accepted: 25 March 2019
Sheet metal forming normally requires the application of lubricants to protect the tool and the sheet against wear. In the case of nonlubricated sheet metal forming, cleaning processes would not be necessary anymore and the process chain could be optimized regarding ecological and economical aspects. However, forming without lubrication leads to an intensive contact between the tool and the sheet. Thus, higher wear occurs and process reliability cannot be ensured for industrial mass production. For dry metal forming of high-alloy steels, a new tool concept must be developed to withstand the higher loads. In this work, a laser-generated tool surface with a supporting plateau of hard particles is presented. Spherical fused tungsten carbides were injected into the surface by laser melt injection. The metallic matrix of the composite was rejected by applying laser ablation. In consequence, the hard particles stood out of the matrix and were in direct contact with the sheet material. Dry and lubricated forming experiments were carried out by strip drawing with bending and deep drawing of cups. Within this work, the feasibility of dry metal forming of high-alloy steel could be demonstrated by applying the MMC surface whereby adhesive wear could be reduced.
Key words: Deep drawing / laser beam machining (LBM) / metal matrix composite
© H. Freiße et al., Published by EDP Sciences 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.