Prediction of residual stress induced by laser shock processing based on artificial neural networks for FGH4095 superalloy

The New Technologies Developed from Laser Shock Processing

(2020) Jiajun Wu et al.   Materials

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

Nanosecond pulsed laser-generated stress effect inducing macro-micro-nano structures and surface topography evolution

(2019) Guoxin Lu et al.   Applied Materials Today

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

An enhanced rapid plasma nitriding by laser shock peening

(2018) Lei Tang et al.   MATERIALS LETTERS

Coefficient of determination for multiple measurement error models

(2014) C.-L. Cheng et al.   JOURNAL OF MULTIVARIATE ANALYSIS