Repurposing metal additive manufacturing support structures for reduction of residual stress deformation

Author(s):  
Lucas M. Morand ◽  
Joshua D. Summers ◽  
Garrett J. Pataky
2020 ◽  
Vol 86 (2) ◽  
pp. 177-184
Author(s):  
Ichiro ARAIE ◽  
Hiroshi AMIOKA ◽  
Katsuya MATSUMURA ◽  
Atsushi HIROTA ◽  
Keiichi TANIGUCHI ◽  
...  

Materials ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 5516
Author(s):  
Myoung-Pyo Hong ◽  
Young-Suk Kim

Metal additive manufacturing (AM) is a low-cost, high-efficiency functional mold manufacturing technology. However, when the functional section of the mold or part is not a partial area, and large-area additive processing of high-hardness metal is required, cracks occur frequently in AM and substrate materials owing to thermal stress and the accumulation of residual stresses. Hence, research on residual stress reduction technologies is required. In this study, we investigated the effect of reducing residual stress due to thermal deviation reduction using a real-time heating device as well as changes in laser power in the AM process for both high-hardness cold and hot work mold steel. The residual stress was measured using an X-ray stress diffraction device before and after AM. Compared to the AM processing conditions at room temperature (25 °C), residual stress decreased by 57% when the thermal deviation was reduced. The microstructures and mechanical properties of AM specimens manufactured under room-temperature and real-time preheating and heating conditions were analyzed using an optical microscope. Qualitative evaluation of the effect of reducing residual stress, which was quantitatively verified in a small specimen, confirmed that the residual stress decreased for a large-area curved specimen in which concentrated stress was generated during AM processing.


2021 ◽  
Author(s):  
Wadea Ameen Qaid ◽  
Abdulrahman Al-Ahmari ◽  
Muneer Khan Mohammed ◽  
Husam Kaid

Abstract Electron-beam melting (EBM) is a rapidly developing metal additive manufacturing (AM) method. It is more effective with complex and customized parts manufactured in low volumes. In contrast to traditional manufacturing it offers reduced lead time and efficient material management. However, this technology has difficulties with regard to the construction of overhang structures. Production of overhangs using EBM without support structures results in distorted objects, and the addition of a support structure increases the material consumption and necessitates post-processing. The objective of this study was to design support structures for metal AM that are easy to remove and consume lower support material without affecting the quality of the part. The design of experiment methodology was incorporated to evaluate the support parameters. The multi-objective optimization minimizing support volume, support removal time along with constrained deformation was performed using multi objective genetic algorithm (MOGA-II). The optimal solution was characterized by a large tooth height (4 mm), large tooth base interval (4 mm), large fragmented separation width (2.5 mm), high beam current (6 mm), and low beam scan speed (1200 mm/s).


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