This page has only limited features, please log in for full access.
Additive manufacturing (AM) is regarded as one of the breakthrough innovations since the 19th century, whose impact on the manufacturing world is recognized as the same with the impact of airplane on the transportation industry [1]. Selective laser melting (SLM), one of the most popular AM techniques for processing metallic materials, has demonstrated its great potentials in medical, aerospace and automotive applications. The SLM technique itself is a complex metallurgical process, involving multi-physics phenomenon in laser scanning, powder melting and bonding procedure. Such a process may introduce a variety of defects and flaws such as pores and cracks, significantly reducing the mechanical performance of the final products. In this paper, we present experimental studies and micromechanical modeling to investigate the effects of the internal pores on the mechanical properties of 316L stainless steel (SS316L) processed by the SLM technique. Specifically, the internal pore characteristics such as size, morphology, spatial distribution and porosity (defined as the total volume of the pores divided by the total volume of the material) of the SLM processed SS316L is experimentally characterized and correlated with the mechanical properties. More importantly, a micromechanical model taking into account the statistical pore characteristics from the XCT analysis is developed to predict the elastic properties of the SS316L product. The numerical prediction results show good agreement with two analytical models and the experimental characterization of the mechanical properties. The present study provides future designers a methodology in predicting the mechanical properties using the XCT analysis results, which is a promising possibility of saving the expensive cost on destructive testing.
Xue Wang; Liping Zhao; Jerry Ying Hsi Fuh; Heow Pueh Lee. Experimental characterization and micromechanical-statistical modeling of 316L stainless steel processed by selective laser melting. Computational Materials Science 2020, 177, 109595 .
AMA StyleXue Wang, Liping Zhao, Jerry Ying Hsi Fuh, Heow Pueh Lee. Experimental characterization and micromechanical-statistical modeling of 316L stainless steel processed by selective laser melting. Computational Materials Science. 2020; 177 ():109595.
Chicago/Turabian StyleXue Wang; Liping Zhao; Jerry Ying Hsi Fuh; Heow Pueh Lee. 2020. "Experimental characterization and micromechanical-statistical modeling of 316L stainless steel processed by selective laser melting." Computational Materials Science 177, no. : 109595.
Additive manufacturing (commonly known as 3D printing) is defined as a family of technologies that deposit and consolidate materials to create a 3D object as opposed to subtractive manufacturing methodologies. Fused deposition modeling (FDM), one of the most popular additive manufacturing techniques, has demonstrated extensive applications in various industries such as medical prosthetics, automotive, and aeronautics. As a thermal process, FDM may introduce internal voids and pores into the fabricated thermoplastics, giving rise to potential reduction on the mechanical properties. This paper aims to investigate the effects of the microscopic pores on the mechanical properties of material fabricated by the FDM process via experiments and micromechanical modeling. More specifically, the three-dimensional microscopic details of the internal pores, such as size, shape, density, and spatial location were quantitatively characterized by X-ray computed tomography (XCT) and, subsequently, experiments were conducted to characterize the mechanical properties of the material. Based on the microscopic details of the pores characterized by XCT, a micromechanical model was proposed to predict the mechanical properties of the material as a function of the porosity (ratio of total volume of the pores over total volume of the material). The prediction results of the mechanical properties were found to be in agreement with the experimental data as well as the existing works. The proposed micromechanical model allows the future designers to predict the elastic properties of the 3D printed material based on the porosity from XCT results. This provides a possibility of saving the experimental cost on destructive testing.
Xue Wang; Liping Zhao; Jerry Ying Hsi Fuh; Heow Pueh Lee. Effect of Porosity on Mechanical Properties of 3D Printed Polymers: Experiments and Micromechanical Modeling Based on X-Ray Computed Tomography Analysis. Polymers 2019, 11, 1154 .
AMA StyleXue Wang, Liping Zhao, Jerry Ying Hsi Fuh, Heow Pueh Lee. Effect of Porosity on Mechanical Properties of 3D Printed Polymers: Experiments and Micromechanical Modeling Based on X-Ray Computed Tomography Analysis. Polymers. 2019; 11 (7):1154.
Chicago/Turabian StyleXue Wang; Liping Zhao; Jerry Ying Hsi Fuh; Heow Pueh Lee. 2019. "Effect of Porosity on Mechanical Properties of 3D Printed Polymers: Experiments and Micromechanical Modeling Based on X-Ray Computed Tomography Analysis." Polymers 11, no. 7: 1154.