multi objective optimization of weld parameters of boiler steel using fuzzy based desirability function
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2014
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Abstract
The high pressure differential across the wall of pressure vessels is potentially dangerous and has caused many fatal
accidents in the history of their development and operation. For this reason the structural integrity of weldments is critical
to the performance of pressure vessels. In recent years much research has been conducted to the study of variations in
welding parameters and consumables on the mechanical properties of pressure vessel steel weldments to optimize weld
integrity and ensure pressure vessels are safe. The quality of weld is a very important working aspect for the
manufacturing and construction industries. Because of high quality and reliability, Submerged Arc Welding (SAW) is
one of the chief metal joining processes employed in industry. This paper addresses the application of desirability
function approach combined with fuzzy logic analysis to optimize the multiple quality characteristics (bead
reinforcement, bead width, bead penetration and dilution) of submerged arc welding process parameters of SA 516 Grade
70 steels(boiler steel). Experiments were conducted using Taguchi’s L27 orthogonal array with varying the weld
parameters of welding current, arc voltage, welding speed and electrode stickout. By analyzing the response table and
response graph of the fuzzy reasoning grade, optimal parameters were obtained. Solutions from this method can be useful
for pressure vessel manufacturers and operators to search an optimal solution of welding condition.
| Reference Key |
satheesh2014journalmulti
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|---|---|
| Authors | ;M. Satheesh;J. Edwin Raja Dhas |
| Journal | communications in statistics: simulation and computation |
| Year | 2014 |
| DOI |
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