Study of ductile fracture and preform design of upsetting process using adaptive network fuzzy inference system-Reference-Cited by-同舟云学术

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Study of ductile fracture and preform design of upsetting process using adaptive network fuzzy inference system

Published:2003-09 Issue:1-3 Volume:140 Page:576-582
ISSN:0924-0136
Container-title:Journal of Materials Processing Technology
language:en
Short-container-title:Journal of Materials Processing Technology

Author:

Lu Yuung-Hwa,Yeh Fung-Huei,Li Ching-Lun,Wu Ming-Tsung,Liu Chun-Ho

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Computer Science Applications,Modelling and Simulation,Ceramics and Composites

Reference17 articles.

1. The application of neural networks in the prediction of sprint-back in an L-shaped bend;Lin;Int. J. Adv. Manuf. Technol.,1999

2. The application of neural networks and statistical methods to process design in metal forming processes;Kim;Int. J. Adv. Manuf. Technol.,1999

3. Fuzzy neural network modeling of material properties;Hancheng;J. Mater. Process. Technol.,2002

4. ANFIS: adaptive-network-based fuzzy inference system;Jang;IEEE Trans. Syst. Man Cybernet.,1993

5. Ductile fracture in axisymmetric extrusion and drawing. Part 2. Workability in extrusion and drawing;Oh;Trans. ASME J. Eng. Ind.,1989

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1. Predictive modeling of damage evolution and ductile fracture in bending process;Materials Today Communications;2022-06

2. A Study on the Warm Forging-Flaring Process of Brass Tube;Advanced Materials Research;2014-05

3. Neural network approach for the selection of processing parameters of aluminium—iron composite preforms during cold upsetting;Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture;2009-10-01

4. Predicting physico-mechanical properties of LLDPE and PDMS rubber blends using ANFIS-based model;Plastics, Rubber and Composites;2009-06

5. Some investigation on the cold deformation behaviour of sintered iron–0.8% carbon alloy powder preforms;Journal of Materials Processing Technology;2008-07

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