Influences of Shot Peening Parameters on Mechanical Properties and Fatigue Behavior of 316 L Steel: Experimental, Taguchi Method and Response Surface Methodology

Abstract

Severe plastic deformation methods like shot peening (SP) are known as efficient surface treatments and grain refining processes which afford more effective properties in metallic materials. In the current research, a comprehensive study was carried out on SP of AISI 316 L steel. It included 42 different SP treatments with a wide range of Almen intensities of 12–27 A and various coverage degrees (100%–1500%). Several experimental tests were conducted in order to explore the microstructure, grain size, surface topography, hardness, wettability, and residual stresses of the specimens. Next, two different approaches including Taguchi method (TM), and response surface methodology (RSM) were deployed for modeling, analysis, and optimization. RSM and TM were used to examine the influence of the effective parameters. Based on the optimized results, the fatigue behavior of the selected treatments was investigated experimentally in both smooth and notched specimens. Graphical abstract

Enhanced cooling rates in laser directed energy deposition with interlayer peening

“…Typical parameters based on engineering experience were used for peening in this study and are summarized in Table 1. No attempt was made to optimize the peening process which is beyond the scope of this work although the parameters are in the approximate range of what has been done in past work such as that by Maleki et al (2021), Kalentics et al (2017aKalentics et al ( , 2017b and Liu et al (2022).…”

Insights into the Response Differences of Ultrasonic Rolled A3 Carbon Steels and 316L Stainless Steels to Scale and Wax Precipitation Behavior

“…Till now, many mechanical surface treatment techniques, including shot peening (SP), laser shock peening (LSP), and ultrasonic nanocrystal surface modification (UNSM), deep rolling, have been developed to achieve the surface modification of metallic materials. [ 17–20 ] However, some negative aspects supplied the influence from uneven surface and some microcracks could destroy the surface finish of the sample. [ 19,21 ]…”

“…Till now, many mechanical surface treatment techniques, including shot peening (SP), laser shock peening (LSP), and ultrasonic nanocrystal surface modification (UNSM), deep rolling, have been developed to achieve the surface modification of metallic materials. [17][18][19][20] However, some negative aspects supplied the influence from uneven surface and some microcracks could destroy the surface finish of the sample. [19,21] Hence, in recent years, an emerging surface treatment technique referred to as the ultrasonic surface rolling process (USRP) has shown tremendous potential applications for the surface protection of gathering pipelines.…”

Application of Deep Neural Network to Predict the High-Cycle Fatigue Life of AISI 1045 Steel Coated by Industrial Coatings

“…Therefore, considering effective approaches to improve the corrosion resistance and fatigue have critical roles in this area [4,5]. To improve the corrosion resistance of conventionally manufactured materials (specially steels), varieties of treatments can be performed such as shot peening [6][7][8][9][10][11][12][13][14], carburizing [15][16][17], and plating [18][19][20][21][22]. In addition, rather than conventional materials, recently different postprocessing methods were also applied on the additively manufactured metallic materials as well to improve the mechanical properties [23][24][25][26][27][28][29][30][31][32].…”