Sensitivity analysis of the artificial neural networks in a system for durability prediction of forging tools to forgings made of C45 steel

Durability analysis of forging tools after different variants of surface treatment using a decision-support system based on artificial neural networks

(2018) Barbara Mrzygłód et al.   Archives of Civil and Mechanical Engineering

Phenomena and degradation mechanisms in the surface layer of die inserts used in the hot forging processes

(2017) Marek Hawryluk et al.   ENGINEERING FAILURE ANALYSIS

Review of selected methods of increasing the life of forging tools in hot die forging processes

(2016) Marek Hawryluk   Archives of Civil and Mechanical Engineering

The expert system supporting the assessment of the durability of forging tools

(2015) Z. Gronostajski et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Failure analysis of forging die insert protected with diffusion layer and PVD coating

(2015) M. Podgrajšek et al.   SURFACE & COATINGS TECHNOLOGY

Adapted surface properties of hot forging tools using plasma technology for an effective wear reduction

(2015) H. Paschke et al.   WEAR

Radial forging force prediction through MR, ANN, and ANFIS models

(2014) A. Azari et al.   NEURAL COMPUTING & APPLICATIONS

In situ FTIR-ATR observation of structural dynamics of H2PO4− in precrystallisation solution

(2013) C. Sun et al.   MATERIALS RESEARCH INNOVATIONS

Modeling the Correlation of Composition-Processing-Property for TC11 Titanium Alloy Based on Principal Component Analysis and Artificial Neural Network

(2012) Yu Sun et al.   JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE

Estimation of plastic deformation and abrasive wear in warm forging dies

(2012) Changhyok Choi et al.   JOURNAL OF MATERIALS PROCESSING TECHNOLOGY

Die shape optimisation for net-shape accuracy in metal forming using direct search and localised response surface methods

(2011) Bin Lu et al.   STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION

Expert system to predict forging load and axial stress

(2010) Tapas Gangopadhyay et al.   APPLIED SOFT COMPUTING