Prediction of the Vickers Microhardness and Ultimate Tensile Strength of AA5754 H111 Friction Stir Welding Butt Joints Using Artificial Neural Network

Monitoring of the friction stir welding process by means of thermography

(2016) L.M. Serio et al.   Nondestructive Testing and Evaluation

Effect of Friction Stir Process Parameters on the Mechanical and Thermal Behavior of 5754-H111 Aluminum Plates

(2016) Livia Serio et al.   Materials

Sensitivity Analysis of the Artificial Neural Network Outputs in Friction Stir Lap Joining of Aluminum to Brass

(2013) Mohammad Hasan Shojaeefard et al.   Advances in Materials Science and Engineering

Predicting the grain size and hardness of AZ91/SiC nanocomposite by artificial neural networks

(2012) P. Asadi et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Modelling and Pareto optimization of mechanical properties of friction stir welded AA7075/AA5083 butt joints using neural network and particle swarm algorithm

(2012) Mohammad Hasan Shojaeefard et al.   MATERIALS & DESIGN

The use of neural network and discrete Fourier transform for real-time evaluation of friction stir welding

(2011) Enkhsaikhan Boldsaikhan et al.   APPLIED SOFT COMPUTING

Soil Heat Flux Modeling Using Artificial Neural Networks and Multispectral Airborne Remote Sensing Imagery

(2011) Dario J. Canelón et al.   Remote Sensing

Tensile and Fatigue Behavior of Friction-Stir Welded Tailor-Welded Blank of Aluminum Alloy 5754

(2010) M. Garware et al.   JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE

High speed friction stir welding of aluminium alloys

(2010) D. M. Rodrigues et al.   SCIENCE AND TECHNOLOGY OF WELDING AND JOINING

Using a neural network for predicting the average grain size in friction stir welding processes

(2009) Livan Fratini et al.   COMPUTERS & STRUCTURES

Recent advances in friction-stir welding – Process, weldment structure and properties

(2008) R NANDAN et al.   PROGRESS IN MATERIALS SCIENCE