Optimization of Shot Peening Effective Parameters on Surface Hardness Improvement

被引：28

作者：

Maleki, Erfan ^{[1
,2
]}

Unal, Okan ^{[3
]}

机构：

[1] Sharif Univ Technol, Mech Engn Dept, Int Campus, Kish Isl 111558639, Iran

[2] Politecn Milan, Mech Engn Dept, I-23994488 Milan, Italy

[3] Karabuk Univ, Mech Engn Dept, TR-78050 Karabuk, Turkey

来源：

METALS AND MATERIALS INTERNATIONAL | 2021年 / 27卷 / 09期

关键词：

Shot peening; Surface treatments; Hardness; Modeling; Artificial neural network; ARTIFICIAL NEURAL-NETWORK; FINITE-ELEMENT SIMULATION; FATIGUE BEHAVIOR; RESIDUAL-STRESS; CARBON-STEEL; AISI; 304; MODEL; MICROSTRUCTURE; DEFORMATION; PREDICTION;

D O I：

10.1007/s12540-020-00758-x

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Shot peening is well-known process for mechanical properties integrity in metallic materials. In present study influences of different shot peening treatments on the surface hardness of different carbon steels were investigated experimentally and then alternative approach by using artificial neural network is presented for hardness prediction of the shot peened surface. After modeling a comprehensive parametric investigations and sensitivity analysis were applied according to the influence of the related effective parameters on surface hardness improvements. Graphic

引用

页码：3173 / 3185

页数：13

共 50 条

[31] Shot peening optimization by means of `DoE': Numerical simulation and choice of treatment parameters
Politecnico di Milano, Milano, Italy
Int J Mater Prod Technol, 2-3 (83-109):
[32] Strengthening of gears by shot peening (optimization of shot diameter and peening angle for gear shape)
Mitsubayashi, Masahiko
Aihara, Hideo
Ogino, Mineo
Inagaki, Hideto
Saito, Akinori
Ogawa, Kazuyoshi
Miyata, Takashi
Nippon Kikai Gakkai Ronbunshu, A Hen/Transactions of the Japan Society of Mechanical Engineers, Part A, 1995, 61 (585): : 1080 - 1085
[33] Investigating the effect of shot peening parameters on the peened surface damage using FEA
Mousa, Hamzah
Omari, Mohammad A.
RESULTS IN ENGINEERING, 2023, 19
[34] Optimization of shot peening parameters for AA7B50-T7751 using response surface methodology
Li, Bin
Qin, Zhi
Xue, Hongqian
Sun, Zhidan
Gao, Tao
SIMULATION MODELLING PRACTICE AND THEORY, 2022, 115
[35] Peenstresssm software selects shot peening parameters
Le Guernic, Y
SURFACE MODIFICATION TECHNOLOGIES XI, 1998, : 1008 - 1018
[36] INFLUENCE OF SHOT PEENING PARAMETERS ON PROCESS EFFECTIVENESS
Elbella, Abdalla
Fadul, Fawaz
Uddanda, Sri Harsha
Kasarla, Nagender Reddy
INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION - 2012, VOL 3, PTS A-C: DESIGN, MATERIALS, AND MANUFACTURING, 2013, : 2015 - 2021
[37] Fatigue Limit Improvement and Rendering Surface Defects Harmless by Shot Peening for Carburized Steel
Tsuji, Toshiya
Fujino, Masashi
Takahashi, Koji
METALS, 2023, 13 (01)
[38] SURFACE ROUGHNESS, HARDNESS, AND FATIGUE-CORROSION CHARACTERISTIC OF AISI 316L BY SHOT PEENING
Iswanto, P. T.
Maliwemu, E. U. K.
Malau, V
Imaduddin, F.
Sadida, H. M.
METALURGIJA, 2020, 59 (02): : 183 - 186
[39] Parameters Optimization of Laser Shot Peening Based On Multi-island Genetic Algorithm
Wang, W.
Zhou, J. Z.
Huang, S.
Fan, Y. J.
Wang, C. D.
Fan, J. R.
ADVANCES IN MECHATRONICS TECHNOLOGY, 2011, 43 : 387 - +
[40] Fatigue strength improvement of an aluminum alloy with a crack-like surface defect using shot peening and cavitation peening
Takahashi, Koji
Osedo, Hiroko
Suzuki, Takaya
Fukuda, Shinsaku
ENGINEERING FRACTURE MECHANICS, 2018, 193 : 151 - 161

← 1 2 3 4 5 →