A Metallurgical Evaluation of the Powder-Bed Laser Additive Manufactured 4140 Steel Material

JOM ◽  
2016 ◽  
Vol 68 (3) ◽  
pp. 869-875 ◽  
Author(s):  
Wesley Wang ◽  
Shawn Kelly
Keyword(s):  
Powder Bed ◽  
Steel Material ◽  
Metallurgical Evaluation

scholarly journals A Novel Framework for Predictive Modeling and Optimization of Powder Bed Fusion Process

2021 ◽  
Author(s):  
Ehsan Malekipour ◽  
Mallikharjun Marrey ◽  
Hazim El-Mounayri ◽  
Eric Faierson ◽  
Mangilal Agarwal
Keyword(s):  
Mechanical Properties ◽  
Process Parameters ◽  
Support Vector ◽  
Large Set ◽  
Powder Bed Fusion ◽  
Two Phase ◽  
Powder Bed ◽  
Steel Material ◽  
Wide Range ◽  
The Impact

Powder bed fusion (PBF) process is a metal additive manufacturing process which can build parts with any complexity from a wide range of metallic materials. PBF process research has predominantly focused on the impact of only a few parameters on product properties due to the lack of a systematic approach for optimizing a large set of process parameters simultaneously. The pivotal challenges regarding this process require a quantitative approach for mapping the material properties and process parameters onto the ultimate quality; this will then enable the optimization of those parameters. In this study, we propose a two-phase framework for optimizing the process parameters and developing a predictive model for 316L stainless steel material. We also discuss the correlation between process parameters -- i.e., laser specifications -- and mechanical properties and how to achieve parts with high density (> 98%) as well as better ultimate mechanical properties. In this paper, we introduce and test an innovative approach for developing AM predictive models, with a relatively low error percentage of 10.236% that are used to optimize process parameters in accordance with user or manufacturer requirements. These models use support vector regression, random forest regression, and neural network techniques. It is shown that the intelligent selection of process parameters using these models can achieve an optimized density of up to 99.31% with uniform microstructure, which improves hardness, impact strength, and other mechanical properties.

Real-time X-ray visualization of ink penetration into powder bed for binder jetting process

2018 ◽  
Vol 2018 (1) ◽  
pp. 162-165
Author(s):  
Shin Mizutani ◽  
Daichi Yamaguchi ◽  
Takeshi Fujiwara ◽  
Masato Yasumoto ◽  
Ryunosuke Kuroda
Keyword(s):  
Real Time ◽  
Powder Bed ◽  
X Ray ◽  
Binder Jetting

Grain Morphology and Texture Development in a Co-Cr-Mo Alloy Fabricated by Powder Bed Fusion with an Electron Beam

2019 ◽  
Author(s):  
Yufan Zhao ◽  
Yuichiro Koizumi ◽  
Kenta Aoyagi ◽  
Daixiu Wei ◽  
Kenta Yamanaka ◽  
...  
Keyword(s):  
Electron Beam ◽  
Grain Morphology ◽  
Texture Development ◽  
Powder Bed Fusion ◽  
Powder Bed

Near-Threshold Fatigue Crack Growth Rates of Laser Powder Bed Fusion Produced Ti-6Al-4V

2020 ◽  
Author(s):  
Thorsten Hermann Becker ◽  
Nur Mohamed Dhansay ◽  
Gerrit Matthys Ter Haar ◽  
Kim Vanmeensel
Keyword(s):  
Fatigue Crack ◽  
Fatigue Crack Growth ◽  
Crack Growth ◽  
Growth Rates ◽  
Powder Bed Fusion ◽  
Laser Powder Bed Fusion ◽  
Powder Bed ◽  
Crack Growth Rates ◽  
Near Threshold

scholarly journals On the Relevance of Volumetric Energy Density in the Investigation of Inconel 718 Laser Powder Bed Fusion

Materials ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 538 ◽  
Author(s):  
Fabrizia Caiazzo ◽  
Vittorio Alfieri ◽  
Giuseppe Casalino
Keyword(s):  
Surface Roughness ◽  
Energy Density ◽  
Process Parameters ◽  
Vickers Hardness ◽  
Powder Bed Fusion ◽  
Processing Conditions ◽  
Laser Powder Bed Fusion ◽  
Powder Bed ◽  
Fractional Density ◽  
Experimental Variation

Laser powder bed fusion (LPBF) can fabricate products with tailored mechanical and surface properties. In fact, surface texture, roughness, pore size, the resulting fractional density, and microhardness highly depend on the processing conditions, which are very difficult to deal with. Therefore, this paper aims at investigating the relevance of the volumetric energy density (VED) that is a concise index of some governing factors with a potential operational use. This paper proves the fact that the observed experimental variation in the surface roughness, number and size of pores, the fractional density, and Vickers hardness can be explained in terms of VED that can help the investigator in dealing with several process parameters at once.

Heat source model calibration for thermal analysis of laser powder-bed fusion

2020 ◽  
Vol 106 (7-8) ◽  
pp. 3367-3379 ◽  
Author(s):  
Shahriar Imani Shahabad ◽  
Zhidong Zhang ◽  
Ali Keshavarzkermani ◽  
Usman Ali ◽  
Yahya Mahmoodkhani ◽  
...  
Keyword(s):  
Thermal Analysis ◽  
Heat Source ◽  
Model Calibration ◽  
Source Model ◽  
Powder Bed Fusion ◽  
Laser Powder Bed Fusion ◽  
Heat Source Model ◽  
Powder Bed

scholarly journals Improvement of polymer properties for powder bed fusion by combining in situ PECVD nanoparticle synthesis and dry coating

2021 ◽  
Author(s):  
Juan S. Gómez Bonilla ◽  
Björn Düsenberg ◽  
Franz Lanyi ◽  
Patrik Schmuki ◽  
Dirk W. Schubert ◽  
...  
Keyword(s):  
Nanoparticle Synthesis ◽  
Powder Bed Fusion ◽  
Dry Coating ◽  
Powder Bed ◽  
Polymer Properties
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