Microstructure and Mechanical Properties of 3D-Printed 316L Stainless Steel at Different Shot Peening Durations

Pan, Haijun; Tao, Wenyu; Zhang, Bin; Jiang, Peng; Wang, Zhizhi; Wu, Wangping; Liu, Lin; Li, Jing; Wu, Zhiqiang; Cai, Zhihui

doi:10.1007/s11665-023-08846-w

J. of Materi Eng and Perform

2023

DOI: 10.1007/s11665-023-08846-w

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Microstructure and Mechanical Properties of 3D-Printed 316L Stainless Steel at Different Shot Peening Durations

Haijun Pan,

Wenyu Tao,

Bin Zhang

et al.

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2024

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Cited by 2 publications

References 43 publications

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Optimization of shot-peening parameters for steel AISI 316L via response surface methodology (RSM): introducing two novel mechanical aspects

Ebrahimzadeh,

Martínez,

Pariente

et al. 2024

Int J Adv Manuf Technol

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The study explores the application of shot-peening (SP) on AISI 316L stainless steel to enhance mechanical properties. It focuses on optimizing SP parameters—coverage percentage (C) ranging from 100 to 4500% and shot velocity (P) between 1.5 and 6 bar while other SP factors were maintained constant—using response surface methodology (RSM) entails creating a mathematical model to analyze data accurately. This model explores interactions among initial configurations to optimize mechanical properties and enhance the performance of the current steel after the SP surface treatment. These properties evaluated include cumulative compressive residual stress (CCRS), cumulative full-width at half-maximum (CFWHM) newfangled factors for researchers to analyze, austenite transformation to martensite, micro-hardness, and surface roughness. Through the RSM model, increasing P leads to an increase in all response values in each one, except for microhardness, which registers a minor decrease from 1.5 to 6 bar. Elevating C promotes responses, excluding roughness, decreasing until 2300% and reaching its minimum. At 4500% C, roughness peaks, exceeding the initial amount at 100% C. In the optimization section, it seeks a passable value for each parameter. Desired responses involve maximizing CCRS, CFWHM, and micro-hardness while minimizing martensite and roughness. For interactions in all responses, at P = 6 bar and C = 1860%, values for each response were CCRS = 218 (MPa.mm), CFWHM = 0.6871 (°.mm), micro-hardness = 394 (HV), martensite conversion = 48 (%), and roughness = 5.45 (µm). Response reassessment in the real tests by comparison RSM model in optimal points showed a minimum error of 4.05 for roughness and a maximum error of 12.09 for CCRS. Other responses contained errors between this spectrum.

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Optimization of shot-peening parameters for steel AISI 316L via response surface methodology (RSM): introducing two novel mechanical aspects

Ebrahimzadeh,

Martínez,

Pariente

et al. 2024

Int J Adv Manuf Technol

View full text Add to dashboard Cite

show abstract

Effect of Shot Peening Duration on Microstructure and Mechanical Properties of GH4169 Alloy Prepared by 3D Printing

Tao,

Pan,

Zhao

et al. 2024

J. of Materi Eng and Perform

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Microstructure and Mechanical Properties of 3D-Printed 316L Stainless Steel at Different Shot Peening Durations

Cited by 2 publications

References 43 publications

Optimization of shot-peening parameters for steel AISI 316L via response surface methodology (RSM): introducing two novel mechanical aspects

Optimization of shot-peening parameters for steel AISI 316L via response surface methodology (RSM): introducing two novel mechanical aspects

Effect of Shot Peening Duration on Microstructure and Mechanical Properties of GH4169 Alloy Prepared by 3D Printing

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