scholarly journals Review on Quality Control Methods in Metal Additive Manufacturing

2021 ◽  
Vol 11 (4) ◽  
pp. 1966
Author(s):  
Jungeon Lee ◽  
Hyung Jun Park ◽  
Seunghak Chai ◽  
Gyu Ri Kim ◽  
Hwanwoong Yong ◽  
...  
Keyword(s):  
Residual Stress ◽  
Quality Control ◽  
Additive Manufacturing ◽  
Stress Generation ◽  
Quality Monitoring ◽  
Control Methods ◽  
Monitoring Methods ◽  
Metal Additive Manufacturing ◽  
Dimensional Errors ◽  
Metal Additive

Metal additive manufacturing (AM) has several similarities to conventional metal manufacturing, such as welding and cladding. During the manufacturing process, both metal AM and welding experience repeated partial melting and cooling, referred to as deposition. Owing to deposition, metal AM and welded products often share common product quality issues, such as layer misalignment, dimensional errors, and residual stress generation. This paper comprehensively reviews the similarities in quality monitoring methods between metal AM and conventional metal manufacturing. It was observed that a number of quality monitoring methods applied to metal AM and welding are interrelated; therefore, they can be used complementarily with each other.

scholarly journals Study on Residual Stress Relief Technology Using Phase Transformation in Metal Additive Manufacturing

2020 ◽  
Vol 86 (2) ◽  
pp. 177-184
Author(s):  
Ichiro ARAIE ◽  
Hiroshi AMIOKA ◽  
Katsuya MATSUMURA ◽  
Atsushi HIROTA ◽  
Keiichi TANIGUCHI ◽  
...  
Keyword(s):  
Residual Stress ◽  
Phase Transformation ◽  
Additive Manufacturing ◽  
Stress Relief ◽  
Metal Additive Manufacturing ◽  
Metal Additive

scholarly journals Uncertainty quantification and reduction in metal additive manufacturing

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Zhuo Wang ◽  
Chen Jiang ◽  
Pengwei Liu ◽  
Wenhua Yang ◽  
Ying Zhao ◽  
...  
Keyword(s):  
Quality Control ◽  
Additive Manufacturing ◽  
Computational Model ◽  
Uncertainty Quantification ◽  
High Throughput ◽  
Surrogate Model ◽  
Metal Additive Manufacturing ◽  
Uncertainty Sources ◽  
Melt Pool ◽  
Metal Additive

AbstractUncertainty quantification (UQ) in metal additive manufacturing (AM) has attracted tremendous interest in order to dramatically improve product reliability. Model-based UQ, which relies on the validity of a computational model, has been widely explored as a potential substitute for the time-consuming and expensive UQ solely based on experiments. However, its adoption in the practical AM process requires overcoming two main challenges: (1) the inaccurate knowledge of uncertainty sources and (2) the intrinsic uncertainty associated with the computational model. Here, we propose a data-driven framework to tackle these two challenges by combining high throughput physical/surrogate model simulations and the AM-Bench experimental data from the National Institute of Standards and Technology (NIST). We first construct a surrogate model, based on high throughput physical simulations, for predicting the three-dimensional (3D) melt pool geometry and its uncertainty with respect to AM parameters and uncertainty sources. We then employ a sequential Bayesian calibration method to perform experimental parameter calibration and model correction to significantly improve the validity of the 3D melt pool surrogate model. The application of the calibrated melt pool model to UQ of the porosity level, an important quality factor, of AM parts, demonstrates its potential use in AM quality control. The proposed UQ framework can be generally applicable to different AM processes, representing a significant advance toward physics-based quality control of AM products.

scholarly journals Residual Stress Reduction Technology in Heterogeneous Metal Additive Manufacturing

Materials ◽  
2020 ◽  
Vol 13 (23) ◽  
pp. 5516
Author(s):  
Myoung-Pyo Hong ◽  
Young-Suk Kim
Keyword(s):  
Residual Stress ◽  
Additive Manufacturing ◽  
Real Time ◽  
Stress Reduction ◽  
Room Temperature ◽  
High Hardness ◽  
Large Area ◽  
Metal Additive Manufacturing ◽  
Thermal Deviation ◽  
Metal Additive

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.

Sign in / Sign up

Export Citation Format

Share Document