has been cited by the following article(s):
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[1]
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Parametric Optimization of Friction Welding on 15CDV6 Aerospace Steel Rods Using Particle Swarm Algorithm
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International Joint Conference on Advances in …,
2022 |
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[2]
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Parametric optimization of mig welding for tensile Strength, hardness and surface roughness
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2022 |
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[3]
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Welding Quality Prediction using Advanced Artificial Intelligence Techniques
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2020 |
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[4]
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Theoretical study of GDM-SA-SVR algorithm on RAFM steel
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2020 |
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[5]
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Implementación de método de solución metaheurístico para un problema de selección de portafolio de proyectos
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2020 |
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[6]
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Dynamic Modeling of Weld Bead Geometry Features in Thick Plate GMAW Based on Machine Vision and Learning
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2020 |
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[7]
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A Review on Welding Quality Prediction using Artificial Intelligence Techniques
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International Conference on Recent Advancement in Science & Technology,
2020 |
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[8]
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Improved Welding Quality Prediction for Metal Inert Gas Welding using Artificial Intelligence
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2020 |
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[9]
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Yield Stress Prediction Model of RAFM Steel Based on the Improved GDM-SA-SVR Algorithm.
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Computers, Materials & Continua,
2019 |
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[10]
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Yield Stress Prediction Model of RAFM Steel Based on the Improved GDM-SA-SVR Algorithm
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2019 |
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[11]
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Experimental and numerical study on fatigue performance for TIG welding and EB welding of RAFM steel plate
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2019 |
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[12]
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Finite element simulation and optimization of orbital welding process parameters
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2018 |
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[13]
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Numerical simulation and experimental research on temperature and stress fields in TIG welding for plate of RAFM steel
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Fusion Engineering and Design,
2018 |
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[14]
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Application of Genetic Algorithm Optimization Technique in TIG Welding of 15CDV6 Aerospace Steel
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Silicon,
2018 |
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[15]
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"UMA SOLUÇÃO PARA A PREDIÇÃO DO ÍNDICE FLUVIOMÉTRICO DO RIO AMAZONAS EM SANTARÉM UTILIZANDO ABORDAGEM NEURO -FUZZY"
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2018 |
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[16]
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A Neuro-Fuzzy Approach For Forecasting Flood And Drought Events: A Case Study In The Brazilian Amazon
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2018 |
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[17]
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Effect of heat input, heat treatment on microstructure and mechanical properties of GTA welded aerospace material 15CDV6
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Journal of Materials Research,
2017 |
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[18]
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Application of GRA and TOPSIS Optimization Techniques in GTA Welding of 15CDV6 Aerospace Material
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Transactions of the Indian Institute of Metals,
2017 |
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[19]
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Identification of plastic strain using thermoelastic stress analysis
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2017 |
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[20]
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Weld Bead Geometry Dimensions Measurement based on Pixel Intensity by Image Analysis Techniques
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Journal of The Institution of Engineers (India): Series C,
2017 |
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[21]
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Comparison of Mechanical Properties on 15CDV6 Steel Plates by TIG-Welding with and without copper coated filler wires
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International Journal of Advanced Research Foundation,
2015 |
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[1]
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Dynamic Modeling of Weld Bead Geometry Features in Thick Plate GMAW Based on Machine Vision and Learning
Sensors,
2020
DOI:10.3390/s20247104
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[2]
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Improved Welding Quality Prediction for Metal Inert Gas Welding using Artificial Intelligence
International Journal of Scientific Research in Science, Engineering and Technology,
2020
DOI:10.32628/IJSRSET207635
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[3]
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Finite element simulation and optimization of orbital welding process parameters
Materials Today: Proceedings,
2018
DOI:10.1016/j.matpr.2018.02.274
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