Published August 1, 2018 | Version v1
Journal article

Mathematical modelling to predict mechanical properties of Copper (C101) feedstock in continuous extrusion

  • 1. School of Mechanical Engineering, Adama Science & Technology University, Adama, Post Box No.1888, Ethiopia. (Ethiopia)
  • 2. Department of Mechanical Engineering, Indian Institute of Technology BHU, Varanasi 221005, India. (India)
  • 3. Department of Mechanical Engineering, Kamla Nehru Institute of Technology, Sultanpur 228118, India. (India)

Description

The continuous extrusion process is a process for producing endless profiles with a high degree of accuracy. The two important and vital process parameters are extrusion wheel velocity and product diameter which affect the mechanical and metallurgical properties of the material. In this work, continuous extrusion of pure copper (C101) rod has been carried out on commercial setup TBJ 350 for feedstock diameter of 9.5 mm at different extrusion wheel velocities and product diameters using different die sizes. The yield strength and percent elongation of extruded feedstock at different wheel velocities and product diameters has been estimated by carrying out the tensile test. The continuous extrusion process has been carried out based on two factor three-level central composite rotatable design using response surface methodology. A mathematical model has been developed to predict the mechanical properties of the extruded feedstock through continuous extrusion process and its validation has been carried out using ANOVA technique. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1757-899X/404/1/012052

Additional details

Publishing Information

Journal Title
IOP Conference Series. Materials Science and Engineering (Online)
Journal Volume
404
Journal Issue
1
Journal Page Range
[10 p.]
ISSN
1757-899X

Conference

Title
1. International Conference on Contemporary Research in Mechanical Engineering with Focus on Materials and Manufacturing
Acronym
ICCRME-2018
Dates
6-7 Apr 2018
Place
Lucknow (India)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52094489
Subject category
S36: MATERIALS SCIENCE; S42: ENGINEERING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ACCURACY; COMPUTERIZED SIMULATION; COPPER; DESIGN; ELONGATION; EXTRUSION; MATHEMATICAL MODELS; YIELD STRENGTH
Descriptors DEC
DEFORMATION; ELEMENTS; FABRICATION; MATERIALS WORKING; MECHANICAL PROPERTIES; METALS; SIMULATION; TRANSITION ELEMENTS