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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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SI: Developments in the fracture and fatigue assessment of materials Views: 1,132 Downloads: 470 Vol. 12, No. 46 (2018) September 23, 2018 pp. 14-24

Investigating the contribution of geometrical parameters and immersion time on fracture toughness of jute fabric composites using statistical techniques

Dr. Bharath K N, G. B. Manjunatha

The aim of this work is to evaluate the failure analysis of jute fabric reinforced composite using statistical technique for marine applications. A fracture mechanics approach is proposed to determine the failure load and fracture…

10.3221/IGF-ESIS.46.02

Details: Investigating the contribution of geometrical parameters and immersion time on fracture toughness of jute fabric composites using statistical techniques PDF Visual Abstract

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Miscellanea Views: 1,526 Downloads: 579 Vol. 12, No. 44 (2018) March 26, 2018 pp. 106-122

Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm

Nabi Mehri Khansari, Filippo Berto, Namdar Karimi, S.M.N Ghoreishi, Mozhgan Mokari

Performance of Friction Stir Welding (FSW) as a solid-state process is approved in several engineering applications, especially aluminum industries. Identification of mechanical behavior of the associated welded zone is necessary due to…

10.3221/IGF-ESIS.44.09

Details: Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm PDF

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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

Investigating the contribution of geometrical parameters and immersion time on fracture toughness of jute fabric composites using statistical techniques

Development of an optimal process for friction stir welding based on GA-RSM hybrid algorithm