Determination of residual stress for Inconel 718 samples fabricated through different scanning strategies in selective laser melting

Selective laser melting (SLM) technique is a widely adopted fabrication procedure in metal additive manufacturing. One of the reasons for the extensive usage of SLM is the material freedom which it offers; therefore, Nickel alloy IN718 metal components were fabricated for this study. However, like in any manufacturing process, physical defects are evident in SLM fabricated parts. The origin of these defects can be attributed to the variation in the process parameters. For any physical components fabricated using the SLM technique, various stresses are developed due to the thermal gradients during the fabrication process. The developed stresses are hence termed as residual stresses. These stresses can be detrimental to the mechanical properties of the part. Residual stresses lead to warping of the part during the fabrication process, thereby leading to failure of the component. Therefore, it is necessary to investigate the effect of change in process parameters on the residual stresses. Although each process parameter has its effect on the overall properties and residual stresses, to limit the scope of the study, the scan strategy is the only parameter that is varied. Scan strategies adopted here are checkered, stripes scan strategy, FO1, and customized scan strategy, where the angle between the consecutive layers has been changed consistently at an angle of 67° . In this study, the residual stresses are measured using the contour deflection method. Based on the results, various levels of residual stresses were observed for different scan strategies. It was concluded that a more uniform scan strategy results in less residual stress.

[1]  I. Ashcroft,et al.  Geometrical effects on residual stress in selective laser melting , 2019, Additive Manufacturing.

[2]  Narges Shayesteh Moghaddam,et al.  Analysis of the deviation in properties of selective laser melted samples fabricated by varying process parameters , 2020, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[3]  Charlie C. L. Wang,et al.  The status, challenges, and future of additive manufacturing in engineering , 2015, Comput. Aided Des..

[4]  Y. L. Feng,et al.  Effect of laser energy density on the microstructure, mechanical properties, and deformation of Inconel 718 samples fabricated by selective laser melting , 2019, Journal of Alloys and Compounds.

[5]  M. Elahinia,et al.  Anisotropic tensile and actuation properties of NiTi fabricated with selective laser melting , 2018 .

[6]  Peng Can,et al.  Study on Improvement of Surface Roughness and Induced Residual Stress for Additively Manufactured Metal Parts by Abrasive Flow Machining , 2018 .

[7]  K. Mumtaz,et al.  Processing Parameter Effects on Residual Stress and Mechanical Properties of Selective Laser Melted Ti6Al4V , 2018, Journal of Materials Engineering and Performance.

[8]  Effect of heat treatment on mechanical properties and residual stresses in additively manufactured parts , 2018 .

[9]  Narges Shayesteh Moghaddam,et al.  Achieving superelasticity in additively manufactured NiTi in compression without post-process heat treatment , 2019, Scientific Reports.

[10]  A. Waterman The Role of the National Science Foundation , 1960 .

[11]  Y. Kevin Chou,et al.  A Method to Estimate Residual Stress in Metal Parts Made by Selective Laser Melting , 2015 .

[12]  D. Dimitrov,et al.  Influence of process parameters on residual stress related distortions in selective laser melting , 2018 .

[13]  Patrice Peyre,et al.  Tailoring residual stress profile of Selective Laser Melted parts by Laser Shock Peening , 2017 .

[14]  Yong-qiang Yang,et al.  The Effect of a Scanning Strategy on the Residual Stress of 316L Steel Parts Fabricated by Selective Laser Melting (SLM) , 2018, Materials.

[15]  M. Fitzpatrick,et al.  Residual stress evaluation in selective-laser-melting additively manufactured titanium (Ti-6Al-4V) and inconel 718 using the contour method and numerical simulation , 2018, Additive Manufacturing.

[16]  W. King,et al.  An Experimental Investigation into Additive Manufacturing-Induced Residual Stresses in 316L Stainless Steel , 2014, Metallurgical and Materials Transactions A.

[17]  Alexander M. Rubenchik,et al.  Laser peening: A tool for additive manufacturing post-processing , 2018, Additive Manufacturing.

[18]  C. Casavola,et al.  EXPERIMENTAL ANALYSIS OF RESIDUAL STRESSES IN THE SELECTIVE LASER MELTING PROCESS , 2008 .

[19]  Mohammad Elahinia,et al.  Texture, aging, and superelasticity of selective laser melting fabricated Ni-rich NiTi alloys , 2017 .

[20]  Amirhesam Amerinatanzi,et al.  On the effects of selective laser melting process parameters on microstructure and thermomechanical response of Ni-rich NiTi , 2018 .

[21]  Lei Liu,et al.  Microstructure, residual stress and tensile properties control of wire-arc additive manufactured 2319 aluminum alloy with laser shock peening , 2018 .

[22]  Christopher J. Sutcliffe,et al.  Determination of the effect of scan strategy on residual stress in laser powder bed fusion additive manufacturing , 2018, Additive Manufacturing.

[23]  Yuebin Guo,et al.  Residual Stress in Metal Additive Manufacturing , 2018 .

[24]  M. Prime Cross-sectional mapping of residual stresses by measuring the surface contour after a cut , 2001 .

[25]  Jarred C. Heigel,et al.  Experimental Investigation of Residual Stress and its Impact on Machining in Hybrid Additive/Subtractive Manufacturing , 2018 .

[26]  M. Vedani,et al.  Effects of Platform Pre-Heating and Thermal-Treatment Strategies on Properties of AlSi10Mg Alloy Processed by Selective Laser Melting , 2018, Metals.

[27]  M. Elahinia,et al.  Effect of manufacturing parameters on mechanical properties of 316L stainless steel parts fabricated by selective laser melting: A computational framework , 2016 .