Effect of laser polishing on the microstructure and mechanical properties of stainless steel 316L fabricated by laser powder bed fusion

Chen, Lan; Richter, Brodan; Zhang, Xinzhou; Bertsch, K.M.; Thoma, Dan J.; Pfefferkorn, Frank E.

doi:10.1016/j.msea.2020.140579

Cited by 60 publications

(27 citation statements)

References 43 publications

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“…Hence, optimization of the processing parameter is an important factor for achieving high mechanical properties for LPBF made 316L SS. Many studies have been done on the optimization of process parameter for LPBF processed material including 316L SS [5,12,14,15,16,17,[21][22][23][24][25][26][27][28][29][30][31][32][33][34]. Multiple parameters are controlled during the AM process and some important ones are reviewed here.…”

Section: Laser Powder Bed Fusion (Lpbf) Process Parametersmentioning

confidence: 99%

A comprehensive investigation on application of machine learning for optimization of process parameters of laser powder bed fusion-processed 316L stainless steel

Eshkabilov

Ara

Azarmi

2022

Int J Adv Manuf Technol

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Metal 3D printing has gained a lot of attention among industries since it offers a practical solution to problems rising during manufacturing of parts and components with complex geometry. This is an additive technology that eliminated several fabrication steps and at the same time reduces material waste during manufacturing process. However, in all additive manufacturing technologies, the final properties of the parts are determined by the operational process parameters. In this study, several machine learning algorithms were examined to characterize the effects of the printing process parameters on relative density, hardness, yield strength, and tensile strength in manufactured parts. It was possible by using "Big Data" collected from a large number of previously published articles on application of Laser Powder Bed Fusion (LPBF) for 3D printing of 316L stainless steel samples. Among different process parameters, laser power, laser energy density, and scanning speed were proven to have the largest effects directly on physical and mechanical properties of LPBF processed parts. Six different classification models and five support vector machine regression-based models were tested to find the most accurate prediction algorithm. To validate the obtained results from the applied machine learning models, a set of 316L specimens were produced using LPBF technology using a random set of process parameters. The physical and mechanical properties of 3D printed samples were tested and compared to the ones those predicted from the optimum models from machine learning analysis. The results were in great agreement, which shows the high accuracy of the developed machine learning algorithms in this study.

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Section: Laser Powder Bed Fusion (Lpbf) Process Parametersmentioning

confidence: 99%

A comprehensive investigation on application of machine learning for optimization of process parameters of laser powder bed fusion-processed 316L stainless steel

Eshkabilov

Ara

Azarmi

2022

Int J Adv Manuf Technol

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“…The results showed that laser polishing can improve the HCF behavior of AISI 1045 steel parts. Chen et al [129] characterized the surface microstructure and morphology of the LP-PBF stainless-steel 316L before and after laser polishing. The results indicated that the surface roughness can be effectively reduced from 4.84 µm to 0.65 µm (Sa) by laser polishing, as well as the proportion of low angle grain boundaries (2 • -5 • ) is increased and the average grain diameter is reduced.…”

Section: Laser Polishingmentioning

confidence: 99%

A Review of Post-Processing Technologies in Additive Manufacturing

Peng

Kong

Fuh

et al. 2021

JMMP

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Additive manufacturing (AM) technology has rapidly evolved with research advances related to AM processes, materials, and designs. The advantages of AM over conventional techniques include an augmented capability to produce parts with complex geometries, operational flexibility, and reduced production time. However, AM processes also face critical issues, such as poor surface quality and inadequate mechanical properties. Therefore, several post-processing technologies are applied to improve the surface quality of the additively manufactured parts. This work aims to document post-processing technologies and their applications concerning different AM processes. Various types of post-process treatments are reviewed and their integrations with AM process are discussed.

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“…Polishing offers further potential for the production of smooth surfaces on manufactured parts. Various applications are known from publications [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39]. With laser polishing, roughness peaks on the surface can be quickly heated to melting temperature and thus made to flow.…”

Section: Introductionmentioning

confidence: 99%

“…With laser polishing, roughness peaks on the surface can be quickly heated to melting temperature and thus made to flow. After solidification of the molten bath, a balanced topography is created [25][26][27]. With this process, in addition to the surface roughness, properties of the material can also be changed or affected [28,29].…”

Section: Introductionmentioning

confidence: 99%

Efficient Finishing of Laser Beam Melting Additive Manufactured Parts

Henning

Aliyev

Gindorf

2021

JMMP

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In many cases, the functional performance of additively manufactured components can only be ensured by finishing the functional surfaces. Various methods are available for this purpose. This paper presents a procedure for selecting suitable processes for finishing laser beam melting additive–manufactured parts which is ultimately based on technological knowledge. It was experimentally proven that the use of several consecutive finishing processes is beneficial to achieve better surface quality. One finishing process chain was particularly effective (namely particle blasting/vibratory grinding/plasma electrolytic polishing) and the technological limits of this method were investigated in this study. The optimal parameters for this process combination ensured a surface roughness Sa < 1 µm.

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Effect of laser polishing on the microstructure and mechanical properties of stainless steel 316L fabricated by laser powder bed fusion

Cited by 60 publications

References 43 publications

A comprehensive investigation on application of machine learning for optimization of process parameters of laser powder bed fusion-processed 316L stainless steel

A comprehensive investigation on application of machine learning for optimization of process parameters of laser powder bed fusion-processed 316L stainless steel

A Review of Post-Processing Technologies in Additive Manufacturing

Efficient Finishing of Laser Beam Melting Additive Manufactured Parts

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