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Article
Effect of Die Angle on Stress Distribution in Extrusion Process of Aluminum Rod

Author: Rafid Jabbar Mohammed
Journal: Basrah Journal for Engineering Science مجلة البصرة للعلوم الهندسية ISSN: Print: 18146120; Online: 23118385 Year: 2014 Volume: 14 Issue: 2 Pages: 43-50
Publisher: Basrah University جامعة البصرة

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Abstract

Type of metal flow and stress distribution in metal extrusion process is a highly complex for the complicated die design. In this work a finite element simulation of Al-1100 rod extrusion was successfully achieved using the commercial finite element code Deform-3D.The results show that the finite element model was successfully simulate the stress distribution in the direct rod extrusion of Al-1100.Besides that the optimum die angle reduces the magnitude of normal, shear, and effective stresses. We can conclude from this studythat maximum stresses occour when the rod is with contact with the die at exit stage.


Article
Experimental Study and Artificial Neural Networks Prediction of Effective Parameters in Continuous Dieless Wire Drawing

Authors: Ameen Ahmed Nassar --- Jaafar Khalaf Ali --- Rafid Jabbar Mohammed
Journal: Basrah Journal for Engineering Science مجلة البصرة للعلوم الهندسية ISSN: Print: 18146120; Online: 23118385 Year: 2019 Volume: 19 Issue: 1 Pages: 52-63
Publisher: Basrah University جامعة البصرة

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Abstract

The dieless drawing process is an innovative methodemanated and appeared in coincidence with development of theconcept of metal superplasticity. It is utilized from the localheating of a wire or tube to a specified temperature and followedby a local cooling, so an additional deformation is inhibited. Inthis study, a special dieless drawing machine was designed tocarry out an experimental program on SUS304-stainless steel wirehaving diameter of (1.6-2) mm to investigate the main processparameters such as speeds, heat quantity, heating coil width andheating-cooling separation distance. Also, a numerical modelbased on thermo-mechanical analysis was developed and validatedwith experimental program. Furthermore, an artificial neuralnetwork ANN model based on current experimental data wasprepared to predict the dieless drawing behavior. A maximum areareduction of 40.7% was obtained in single pass. A 3.12mm/sfeeding velocity and 4.97mm/s drawing velocity were realizedthrough the experimental tests. The results showed that bothdrawing force and wire profile were effected by increasing offeeding speed, heating coil width and separation distance. Also, itis confirmed that strain rate was reduced by increasing the heatingcoil width and the reduction ratio was promoted. A maximumerror of 21% was recorded between ANN model and experimentalresults. The results showed a good agreement amongexperimental, numerical and ANN models.

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