TY  - CONF
AV  - none
TI  - Optimum welding parameter for GMA welding using soft computing techniques
ID  - scholars8070
N2  - In this paper, a study on the welding parameters for pipeline is done by application of Metal Inert Gas (MIG) welding by taking into account welding speed and wire feed rate as the parameters. These parameters are important to determine the tensile strength and weld bead penetration of the welded specimen. Large data sets are necessary to train the Neural Network using Matlab ANN tool and hence enable to predict the desired output. The predicted output is validated by comparing with experimental data. © 2017 Author(s).
N1  - cited By 1; Conference of 3rd Advanced Materials Conference 2016, AMC 2016 ; Conference Date: 28 November 2016 Through 29 November 2016; Conference Code:132474
SN  - 0094243X
PB  - American Institute of Physics Inc.
Y1  - 2017///
VL  - 1901
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85038358071&doi=10.1063%2f1.5010509&partnerID=40&md5=f9028a723c9a5585b12c008705dd4692
A1  - Pedapati, S.R.
A1  - Shasidaran
A1  - Kamal, S.
A1  - Rani, A.M.A.
ER  -