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 H. K. Narang,M. M. Mahapatra,P. K. Jha and P. Biswas.Development of Fuzzy Logic System to Predict the SAW Weldment Shape Profiles[J].Journal of Marine Science and Application,2012,(3):387-391.[doi:10.1007/s11804-012-1133-2]
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Development of Fuzzy Logic System to Predict the SAW Weldment Shape Profiles


Development of Fuzzy Logic System to Predict the SAW Weldment Shape Profiles
H. K. Narang M. M. Mahapatra P. K. Jha and P. Biswas
H. K. Narang M. M. Mahapatra P. K. Jha and P. Biswas
1. Department of Mechanical & Industrial Engineering, IIT Roorkee, Roorkee 247667, India 2. Department of Mechanical Engineering, IIT Guwahati, Guwahati 781039, India
submerged arc welding (SAW) fuzzy-logic controller bead height weldment cross-sectional-area heat affected zone (HAZ) fuzzy model fuzzy logic system
A fuzzy model was presented to predict the weldment shape profile of submerged arc welds (SAW) including the shape of heat affected zone (HAZ). The SAW bead-on-plates were welded by following a full factorial design matrix. The design matrix consisted of three levels of input welding process parameters. The welds were cross-sectioned and etched, and the zones were measured. A mapping technique was used to measure the various segments of the weld zones. These mapped zones were used to build a fuzzy logic model. The membership functions of the fuzzy model were chosen for the accurate prediction of the weld zone. The fuzzy model was further tested for a set of test case data. The weld zone predicted by the fuzzy logic model was compared with the experimentally obtained shape profiles and close agreement between the two was noted. The mapping technique developed for the weld zones and the fuzzy logic model can be used for on-line control of the SAW process. From the SAW fuzzy logic model an estimation of the fusion and HAZ can also be developed.


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Last Update: 2012-09-06