Using an artificial neural network to predict the residual stress induced by laser shock processing

The New Technologies Developed from Laser Shock Processing

(2020) Jiajun Wu et al.   Materials

Surface Grain Refinement of 304L Stainless Steel by Combined Severe Shot Peening and Reversion Annealing Treatment

(2020) Xuanpei Wu et al.   Coatings

Influence of surface quality on residual stress of API 5L X80 steel submitted to static load and its prediction by artificial neural networks

(2020) Danillo Pedro Silva et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Artificial neural network-based prediction model of residual stress and hardness of nickel-based alloys for UNSM parameters optimization

(2020) J.P.B.A. Sembiring et al.   Materials Today Communications

Evaluating methods for quality of laser shock processing

(2019) Jiajun Wu et al.   OPTIK

Laser shock peening of laser additive manufactured Ti6Al4V titanium alloy

(2018) Wei Guo et al.   SURFACE & COATINGS TECHNOLOGY

Effect of shot-peening and low-plasticity burnishing on the high-cycle fatigue strength of DIN 34CrNiMo6 alloy steel

(2018) Alexander Avilés et al.   INTERNATIONAL JOURNAL OF FATIGUE

Compound technology of manufacturing and multiple laser peening on microstructure and fatigue life of dual-phase spring steel

(2016) S. Prabhakaran et al.   MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING

A comparison of neutron diffraction and hole-drilling residual strain measurements in thermally sprayed coatings

(2012) R. Ahmed et al.   SURFACE & COATINGS TECHNOLOGY

Artificial neural network approach to predict the flow stress in the isothermal compression of as-cast TC21 titanium alloy

(2011) Yanchun Zhu et al.   COMPUTATIONAL MATERIALS SCIENCE

Modelling of residual stresses in the shot peened material C-1020 by artificial neural network

(2008) Cetin Karataş et al.   EXPERT SYSTEMS WITH APPLICATIONS

Estimation of flow stress behavior of AA5083 using artificial neural networks with regard to dynamic strain ageing effect

(2007) H. Sheikh et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY