A smart prediction tool for estimating the impact strength of welded                     joints prepared by vibratory welding process

Rao, P. Govinda; Rao, P. Srinivasa; Krishna, A. Murali

doi:10.1177/0954408915578791

Cited by 10 publications

(7 citation statements)

References 9 publications

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“…By varying the input parameters of the metal engravers like voltage, frequency and vibrational period the process is done and enhancement of properties are taken place. P.Govinda Rao., et.al., [7][8][9][10][11][12] introduced the new experimental setup for inducing mechanical vibrations through unbalanced weight's. By considering the input parameters like vibrating period for specimens and voltage of the vibromotor.…”

Section: Introductionmentioning

confidence: 99%

Influence of Mode of Power Source on the Mechanical Properties of Vibratory Weld Joints

Rao*,

Prasad,

Suresh

2019

IJITEE

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Welding plays a major role in modern technology. During welding, a portion of the specimen is subjected to heating. Because of different heating and cooling cycles of the specimen, residual stresses induced in the specimen i.e., mechanical properties gets reduced. To enhance the mechanical properties there are different techniques are available i.e., thermal and non-thermal methods. Vibratory welding is the one of the non-thermal method; mechanical properties of steel specimens are analyzed under with and without vibrations under different power source condition. In this paper input parameters which are considered is straight polarity, reverse polarity and alternate current. Tensile and hardness property of the steel specimen are analyzed and compared with the without vibratory condition.

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Section: Introductionmentioning

confidence: 99%

Influence of Mode of Power Source on the Mechanical Properties of Vibratory Weld Joints

Rao*,

Prasad,

Suresh

2019

IJITEE

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“…11 Rao et al proposed vibratory welding technique to improve the joint toughness. 12 Fatima et al studied dissimilar welding of austenitic stainless steel with low carbon steel and commented that dissimilar welding is difficult and good quality can be obtained selecting optimum parameters. 13 Literature indicates that many investigations were carried out on dissimilar welding between different stainless steels and low carbon steel, and successful joining with adequate strength is predominantly dependent on selection of suitable process parameters.…”

Section: Introductionmentioning

confidence: 99%

“…proposed vibratory welding technique to improve the joint toughness. 12 Fatima et al. studied dissimilar welding of austenitic stainless steel with low carbon steel and commented that dissimilar welding is difficult and good quality can be obtained selecting optimum parameters.…”

Section: Introductionmentioning

confidence: 99%

Dissimilar GTAW between AISI 304 and AISI 4340 steel: Multi-response optimization by analytic hierarchy process

Bhattacharya

Singla

2016

Proceedings of the Institution of Mechanical Engineers, Part E:

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In general, welding of dissimilar metals is more challenging than similar metals. This paper presents the outcomes of a detailed experimental study carried out to investigate the effect of process parameters and their interactions during dissimilar welding between AISI 304 austenitic stainless steel and AISI 4340 alloy steel and proposes an approach for multi-response optimization of process parameters. Six different process parameters and three interactions amongst them are considered during gas tungsten arc welding and the results are analyzed to devise the significance and contribution of each parameter, interaction on the welded joint pertaining to tensile strength, toughness, distortion and fusion zone microhardness variation. Detailed experimental study and analysis showed that maximum tensile strength, toughness, or minimum distortion is obtained at different parametric combinations. Thus, in order to search a best process combination that optimizes multiple responses, analytic hierarchy process is applied with a modified approach to assign the relative importance of each alternative. The steps involved in the approach are also discussed and the optimum parametric combination is selected that maximizes the joint mechanical strength. Results show that maximum joint strength is achieved when ER 308 filler material, Ar þ H 2 shielding gas with moderate flow rate and suitable pre-heating as well as post-heating are used.

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“…A detailed Metallurgical analysis has been performed in [19,20]. From the micro structural evolution it has been found that grain refinement occurs during random vibrations process.…”

Section: Variation In Metallurgical Propertiesmentioning

confidence: 99%

“…Compared to above said techniques, vibratory assisted welding has advantages such as economic, flexibility in use, pollution free and less manufacturing time [18]. Due to these special characteristics, vibratory welding techniques have been implemented effectively with varying degree of success [19][20][21]. Even though, the effect of vibratory parameters on mechanical properties of weldments is still a remaining question mark to the researchers.…”

Section: Vibratory Weldingmentioning

confidence: 99%

GRNN-Immune Based Strategy for Estimating and Optimizing the Vibratory Assisted Welding Parameters to Produce Quality Welded Joints

Rao¹,

Rao²,

Deepak³

2017

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Abstract.Welding is the process of producing permanent joints with the application of pressure and/or heat energy. During welding operation, weldments may be subjected to uneven thermal stresses. These stresses influence the metallurgical structure of the component. Due to this, the strength of the weld joint is reduced. Therefore, vibratory weld treatment during welding has been proposed in the present work to enhance the flexural and impact strength of weldments. However, it is found that the mechanical properties have shown nonlinear behavior with the chosen input parameters. Hence, an efficient Neural Network (NN) based prediction tool is developed to approximate the mechanical properties of weldments without performing the experiments, output values can be predicted for the given input values. Further, an immune based strategy is integrated to the developed prediction tool in order to obtain desired quality welded joints.

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A smart prediction tool for estimating the impact strength of welded joints prepared by vibratory welding process

Cited by 10 publications

References 9 publications

Influence of Mode of Power Source on the Mechanical Properties of Vibratory Weld Joints

Influence of Mode of Power Source on the Mechanical Properties of Vibratory Weld Joints

Dissimilar GTAW between AISI 304 and AISI 4340 steel: Multi-response optimization by analytic hierarchy process

GRNN-Immune Based Strategy for Estimating and Optimizing the Vibratory Assisted Welding Parameters to Produce Quality Welded Joints

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