Finite Volume Analysis and Neural Network Modeling of Wear During Hot Forging of a Steel Splined Hub

Arabian Journal for Science and Engineering

Volumn 37, Issue 3, 2012, Pages 821-829

  Yazdi, M R Soleymani ^a   Bagheri, Gh Seyed ^b   Tahmasebi, M ^c  

^a IMAM HOSSEIN UNIVERSITY   (Iran)

^b Iran University of Industries and Mines IUIM   (Iran)

^c ATA Co   (Iran)

Author keywords

Die wear; Finite volume analysis; Hot forging; Neural network

Indexed keywords

EID: 84859193765     PISSN: 13198025     EISSN: 21914281     Source Type: Journal    
DOI: 10.1007/s13369-012-0210-9     Document Type: Article

References (12)

1. Persson A.: Strain-based Approach to Crack Growth and thermal Fatigue Life of Hot Work Tool Steels. Scand. J. Metall. 33, 53-64 (2004).
2. Archard J. F.: Contacts and rubbing of flat surface. J. Appl. Phys. 24, 981-988 (1953).
3. Vardan, O. C.; Bagchi, A.; Altan, T.: Investigation of die wear in upsetting using the FEM code ALPID. In: Proceeding of Fifteenth North American Manufacturing Research Conference, pp. 386-393 (1987).
4. Sovis T., Engel U., Geiger M.: A theoretical study on wear simulation in metal forming process. J. Mater. Process. Technol. 34, 233-240 (1992).
5. Lee G. A., Im Y. T.: Finite-element investigation of the wear and elastic deformation of dies in metal forming. J. Mater. Process. Technol. 89-90, 123-127 (1999).
6. Lee H. C.: Tool life prediction for the bolt forming process based on high cycle fatigue and wear. J. Mater. Process. Technol. 201, 348-353 (2008).
7. Ding P. R., Ju D. Y., Inoue T.: Numerical simulation of forging and subsequent heat treatment of a rod by a finite volume method. J. Acta Metallurgica Sinica (English Letters) 13, 270-280 (2000).
8. Lee, B. K.; Kwon, H. H.: A study on the automated process planning system for cold forging of non-axisymmetric parts using FVM simulation. J. Mater. Process. Technol. 130-131, 524-531 (2002).
9. Kim S. H., Chung S. W.: The effect of die geometry on the double shear extrusion by parametric FVM simulation. J. Scripta Materialia 51, 1117-1122 (2004).
10. Kim S. H., Chung S. W.: Investigation of lubrication effect on the backward extrusion of thin-walled rectangular aluminum case with large aspect ratio. J. Mater. Process. Technol. 180, 185-192 (2006).
11. Lee R. S., Jou J. L.: Application of Numerical Simulation for Wear Analysis of Warm Forging Die. J. Mater. Process. Technol. 140, 43-48 (2003).
12. Kazan R., Firat M.: Prediction of spring back in wipe-bending process of sheet metal using neural network. J. Mater. Des. 30, 418-423 (2009).