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Tribological and Mechanical Behavior of Brake Composite with ANN and TOPSIS
The demands in the present automotive industry need an effective braking mechanism for controlling the vehicle at varying speeds and pressures. In...
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ANN-based critical review of the effective moment of inertia of RC beams
This paper presents an artificial neural network (ANN)–based critical review of the ACI 318 Code formula for calculating the effective moment of...
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Utilization of ANN for the Prediction of Mechanical Properties in AlP0507-MWCNT-RHA Composites
Achieving optimal results for enhanced performance of aluminum metal matrix necessitated a substantial amount of effort, as it entailed investing...
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Experimental Study of Slurry Erosion of Ni-Hard Cast Iron and Prediction of Wear of Materials with the Use of Artificial Neural Network (ANN)
The wear resistance of Ni-Hard alloyed cast iron under slurry erosion is studied. An attempt to predict the erosion wear of materials with the help...
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Prediction Flow Behaviour of a Magnesium Alloy in Hot Deformation and a Comparative Study by Using Hyperbolic Sine Model and ANN Model
AbstractIn order to get flow behavior of a deformation state magnesium alloy Mg – Gd – Y – Zr – Ag – Er, hot compression tests were performed on a...
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Novel CTAB functionalized graphene oxide for selenium removal: adsorption results and ANN & RSM modeling
This study explored the potential of cetyltrimethylammonium bromide functionalized graphene oxide (CTAB@GO composite) to remove selenite and selenate...
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ANN Technique Implementation for Wear Prediction of Bronze-Based Composites Under Dry Sliding Conditions
The impact of cobalt-reinforced bronze-based metal matrix composites on tribological properties was examined. Cobalt metal powders with...
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Exploring how the metaverse of cultural heritage (MCH) influences users’ intentions to experience offline: a two-stage SEM-ANN analysis
The metaverse for cultural heritage (MCH) serves as a digital platform that enables users to access and engage with cultural heritage resources...
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Interface Optimisation of Dissimilar Wire Arc Additive Manufactured Wall Through ANN-TOPSIS Conjugate Algorithm
The development of functionally graded structures (FGS) through the wire arc additive manufacturing (WAAM) technique is frequently associated with a...
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A study on the practical application of the integrated ANN system for manufacturing the target quality of the injection molded product
The quality of the products manufactured by injection molding is greatly influenced by the process variables of the injection molding machine used...
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Machine Learning in Drilling of GFRP Composite Using ANN
Glass fiber reinforced plastic (GFRP) is in high demand due to its unique set properties for various engineering applications. But modeling and...
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Optimization of AWJC Parameters for Ti-6Al-4V Alloy Using ANN-Based GA and PSO
The objective of this study is to explore at the geometry of the kerf, surface topography, and surface morphology of titanium (Ti6Al4V) alloy...
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Heat Treatment Process Study and ANN-GA Based Multi-Response Optimization of C45 Steel Mechanical Properties
The main purpose of the present investigation is to achieve an optimization of the heat treatment process along with improving the mechanical...
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Investigation of the Wetting Behavior of Formulated SMAW Electrode Coating Fluxes With Regression and ANN Model
The SMAW electrode coating fluxes are formulated for the pipeline steels. The contact angle, spread area, work of adhesion, and floatation...
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Friction Stir Processing of Al 2124 Reinforced Graphene Metal Matrix Composites and Multi Characteristic Optimization Through Desirability Approach Integrated with ANN
Multi-response optimization of composites was performed using the Taguchi-based desirability approach. Parameters, namely tool rotation speed (900...
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Investigation and Optimization of the Tribological Parameters of Hypoeutectic A356/Gr/Sn Metal Matrix Composites Using Grey-Fuzzy and ANN Modeling Methods
The present work deals with the influence of the graphite and tin particles in the wear behavior of A356 alloy-based composites. The A356 alloy...
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Artificial Neural Network (ANN)-Based Residual Strength Prediction of Carbon Fibre Reinforced Composites (CFRCs) After Impact
This study presents an artificial neural network (ANN) model for predicting the residual strength of carbon fibre reinforced composites (CFRCs) after...
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Simultaneous study of different combinations of ZSM-5 templates and operating conditions in the MTP process; designing, modeling, and optimization by RSM-ANN-GA
The process of converting methanol to propylene is influenced by many parameters. Using smart techniques can be an effective way to investigate...
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Application of a Chained-ANN for Learning the Process–Structure Map** in Mg2SixSn1−x Spinodal Decomposition
This work establishes a reliable and accurate materials process–structure (PS) surrogate model that maps an 18-dimensional process parameter input...
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Microstructure Evolution and an ANN Approach for Microhardness Prediction of Suction Cast FeCoNiCrMnVNb Eutectic High-Entropy Alloys
The present work explores the design and development of Fe 35-X Co 10 Ni 25 Cr 15 Mn 5 V 10 Nbx ( x = 2.5, 5, 7.5, and 10 at. %) eutectic high-entropy alloys...
