Published December 2013 | Version v1
Journal article

Application of Taguchi optimization technique in determining aluminum to brass friction stir welding parameters

  • 1. Department of Mechanical Engineering, Iran University of Science and Technology, Tehran (Iran, Islamic Republic of)
  • 2. Department of Automotive Engineering, Iran University of Science and Technology, Tehran (Iran, Islamic Republic of)
  • 3. Faculty of New Sciences and Technologies (FNST), University of Tehran, Tehran (Iran, Islamic Republic of)

Description

Highlights: • Lap joints between AA5083 and CuZn34 were successfully produced by FSW. • Taguchi optimization technique was used to find the optimum parameters in FSW. • To control the effectiveness of Taguchi method, a confirmation test was conducted. • Rotational speed plays a vital role and contributes 40% to the overall contribution. - Abstract: In this research Al–Mg and CuZn34 alloys were lap joined using friction stir welding during which the aluminum alloy sheet was placed on the CuZn34 and the process parameters were optimized using Taguchi L9 orthogonal design of experiments. The rotational speed, tool tilt angle and traverse speed were the parameters taken into consideration. The optimum process parameters were determined with reference to tensile shear strength of the joint. The predicted optimal value of tensile strength was confirmed by conducting the confirmation run using optimum parameters. Analysis of variance showed that rotational speed is the most dominant factor in deciding the joint soundness. Optical microscopy and scanning electron microscopy (SEM) analysis were used to probe the microstructures and chemical compositions

Availability note (English)

Available from http://dx.doi.org/10.1016/j.matdes.2013.06.003

Additional details

Identifiers

DOI
10.1016/j.matdes.2013.06.003;
PII
S0261-3069(13)00536-0;

Publishing Information

Journal Title
Materials and Design
Journal Volume
52
Journal Page Range
p. 587-592
ISSN
0261-3069
CODEN
MADSD2

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
45112795
Subject category
S36: MATERIALS SCIENCE;
Descriptors DEI
ALUMINIUM; ALUMINIUM ALLOYS; CHEMICAL COMPOSITION; FRICTION; JOINTS; MICROSTRUCTURE; OPTICAL MICROSCOPY; SCANNING ELECTRON MICROSCOPY; SHEAR PROPERTIES; TENSILE PROPERTIES; VELOCITY; WELDING
Descriptors DEC
ALLOYS; ELECTRON MICROSCOPY; ELEMENTS; FABRICATION; JOINING; MECHANICAL PROPERTIES; METALS; MICROSCOPY

Optional Information

Copyright
Copyright (c) 2013 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.