Affiliations: Department of Industrial Engineering and Management,
Siddaganga Institute of Technology, Tumkur – 572 103, Karnataka, India | Department of Mechanical Engineering, Indian Institute
of Technology, Kharagpur – 721 302, India
Note: [] Corresponding author: Associate Professor, Department of
Mechanical Engineering, Indian Institute of Technology, Kharagpur – 721 302,
India. Tel.: +91 3222 282992; Fax: +91 3222 282278; E-mail:
dkpra@mech.iitkgp.ernet.in
Abstract: Metal inert gas welding is a multi-input and multi-output process.
In forward modeling, the outputs (also known as the responses) are expressed as
the functions of input variables (also called the process parameters), whereas
in reverse modeling, the latter are represented as the functions of the former.
The above modeling may be required for an effective on-line control of a
process. Statistical regression analysis can tackle the problem of forward
modeling efficiently but it may not be always able to solve the problem of
reverse modeling. The present work is a novel attempt to carry out the forward
and reverse modeling of the said welding process using fuzzy logic-based
approaches. The developed soft computing-based approaches are found to solve
the above problem efficiently.
