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Analytical, Numerical and Physical Models Views: 959 Downloads: 740 Vol. 17, No. 66 (2023) September 27, 2023 pp. 191-206

Prediction of Mechanical Behavior of Epoxy Polymer Using Artificial Neural Networks (ANN) And response Surface Methodology (RSM)

Khalissa Saada, Salah Amroune, Moussa Zaoui

The aim of this study is to analyze the effect of different geometries and sections on the mechanical properties of epoxy specimens. Five tensile tests were carried out on three types of series. The experimental results obtained were…

10.3221/IGF-ESIS.66.12

Details: Prediction of Mechanical Behavior of Epoxy Polymer Using Artificial Neural Networks (ANN) And response Surface Methodology (RSM) PDF Visual Abstract

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Structural Integrity and Safety: Experimental and Numerical Perspectives Views: 852 Downloads: 715 Vol. 16, No. 61 (2022) June 19, 2022 pp. 487-495

Natural Frequency based delamination estimation in GFRP beams using RSM and ANN

T. G. Sreekanth

The importance of delamination detection can be understood from aircraft components like Vertical Stabilizer, which is subjected to heavy vibration during the flight movement and it may lead to delamination and finally even flight crash…

10.3221/IGF-ESIS.61.32

Details: Natural Frequency based delamination estimation in GFRP beams using RSM and ANN PDF Visual Abstract

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Advanced Manufacturing and Processing Views: 711 Downloads: 554 Vol. 15, No. 56 (2021) March 28, 2021 pp. 84-93

Development of mathematical model and optimization of GMA welding parameters of IS 2062 grade A steel weldments

Saadat Ali Rizvi, Wajahat Ali

In this experimental works, the effect of GMA welding process parameters, such as arc voltage, wire feed speed, and gas flow rate on the mechanical quality of IS 2062 structural steel of grade A has been studied. Process parameters play an…

10.3221/IGF-ESIS.56.07

Details: Development of mathematical model and optimization of GMA welding parameters of IS 2062 grade A steel weldments PDF Visual Abstract

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Prediction of Mechanical Behavior of Epoxy Polymer Using Artificial Neural Networks (ANN) And response Surface Methodology (RSM)

Natural Frequency based delamination estimation in GFRP beams using RSM and ANN

Development of mathematical model and optimization of GMA welding parameters of IS 2062 grade A steel weldments