Enhancement in microstructural and mechanical performance of AA7075 aluminum alloy via severe shot peening and ultrasonic nanocrystal surface modification

Efe, Yusuf; Karademir, İbrahim; Hüsem, Fazıl; Maleki, Erfan; Karimbaev, Ruslan; Amanov, Auezhan; Ünal, Okan

doi:10.1016/j.apsusc.2020.146922

Cited by 80 publications

(20 citation statements)

References 54 publications

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“…where a 1 , a 2 , a 3 , a 4 and a 5 are the outputs of the first to fifth layers respectively. The function M assigns the values of the 2 considered input parameters of surface coverage and stress amplitude to the output parameter of fatigue life m(1).…”

Section: Neural Networkmentioning

confidence: 99%

Analysing the Fatigue Behaviour and Residual Stress Relaxation of Gradient Nano-Structured 316L Steel Subjected to the Shot Peening via Deep Learning Approach

et al. 2021

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In this study, the effect of kinetic energy of the shot peening process on microstructure, mechanical properties, residual stress, fatigue behavior and residual stress relaxation under fatigue loading of AISI 316L stainless steel were investigated to figure out the mechanisms of fatigue crack initiation and failure. Varieties of experiments were applied to obtain the results including microstructural observations, measurements of hardness, roughness, induced residual stress and residual stress relaxation as well as axial fatigue test. Then deep learning approach through neural networks was used for modelling of mechanical properties and fatigue behavior of shot peened material. Comprehensive parametric analyses were performed to survey the effects of different key parameters. Afterward, according to the results of neural network analysis, further experiments were performed to optimize and experimentally validate the desirable parameters. Based on the obtained results the favorable range of shot peening coverage regarding improved mechanical properties and fatigue behavior was identified as no more than 1750% considering Almen intensity of 21 A (0.001 inch). Graphic abstract

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Section: Neural Networkmentioning

confidence: 99%

Analysing the Fatigue Behaviour and Residual Stress Relaxation of Gradient Nano-Structured 316L Steel Subjected to the Shot Peening via Deep Learning Approach

et al. 2021

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“…SP is a cold working process whereby small shots are thrust at the surface of a material at a certain velocity. A single shot mechanically deforms the material by creating a dimple when it strikes the surface [21,22].…”

Section: Introductionmentioning

confidence: 99%

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

2021

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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

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“…The mechanical properties of commercially pure Al alloy (e.g., AA1050-H14 [3]) can be listed as follows: σ u of 78-107 MPa [8,14,19], σ y of 74-128 MPa [8,19], elastic modulus of 68-71 GPa [3,19], and hardness of 25-30 HV [8,20]. These mechanical properties are relatively poor compared to their alloyed counterparts (e.g., AA2020-T4 [21], AA2024 [22], 5056 Al alloy [23], AA7075 [24,25]) and thus restrict their usage in applications with moderate stress, indentation, and friction [10,14,18]. Consequently, there has been a growing interest in improving the mechanical properties (particularly hardness) of pure Al alloy with an acceptable compromise in other physicochemical properties [2,26] by using different strategies such as SPD methods [5,17,20,26] and incorporation of nanoparticles into pure Al [8,10].…”

Section: Introductionmentioning

confidence: 99%

“…SP is a well-known mechanical surface treatment method to improve the fatigue life of materials used in various engineering applications (e.g., automotive, aerospace, and biomedical applications) [1,24,25,[35][36][37][38][39][40]. More specifically, it is an enticing process for enhancing mechanical properties (i.e., hardness, roughness, residual stress, σ y [1,6,22,23,[41][42][43]), corrosion resistance [34,35,42,44,45], electrical conductivity [14], wear resistance [24], and biological properties [6,46,47] of engineering alloys.…”

Section: Introductionmentioning

confidence: 99%

Modification of Surface and Subsurface Properties of AA1050 Alloy by Shot Peening

et al. 2021

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AA1050 Al alloy samples were shot-peened using stainless-steel shots at shot peening (SP) pressures of 0.1 and 0.5 MPa and surface cover rates of 100% and 1000% using a custom-designed SP system. The hardness of shot-peened samples was around twice that of unpeened samples. Hardness increased with peening pressure, whereas the higher cover rate did not lead to hardness improvement. Micro-crack formation and embedment of shots occurred by SP, while average surface roughness increased up to 9 µm at the higher peening pressure and cover rate, indicating surface deterioration. The areal coverage of the embedded shots ranged from 1% to 5% depending on the peening parameters, and the number and the mean size of the embedded shots increased at the higher SP pressure and cover rate. As evidenced and discussed through the surface and cross-sectional SEM images, the main deformation mechanisms during SP were schematically described as crater formation, folding, micro-crack formation, and material removal. Overall, shot-peened samples demonstrated improved mechanical properties, whereas sample surface integrity only deteriorated notably during SP at the higher pressure, suggesting that selecting optimal peening parameters is key to the safe use of SP. The implemented methodology can be used to modify similar soft alloys within confined compromises in surface features.

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Enhancement in microstructural and mechanical performance of AA7075 aluminum alloy via severe shot peening and ultrasonic nanocrystal surface modification

Cited by 80 publications

References 54 publications

Analysing the Fatigue Behaviour and Residual Stress Relaxation of Gradient Nano-Structured 316L Steel Subjected to the Shot Peening via Deep Learning Approach

Analysing the Fatigue Behaviour and Residual Stress Relaxation of Gradient Nano-Structured 316L Steel Subjected to the Shot Peening via Deep Learning Approach

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

Modification of Surface and Subsurface Properties of AA1050 Alloy by Shot Peening

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