Research graph
References from Optimizing strength of directly recycled aluminum chip-based parts through a hybrid RSM-GA-ANN approach in sustainable hot forging. Local targets link to admitted publications; unresolved targets remain external evidence.
Making sustainable aluminum by recycling scrap: The science of ’dirty’ alloys
2022 · External reference
Unresolved reference
2023 · External reference
Sustainability Study of a New Solid-State Aluminum Chips Recycling Process: A Life Cycle Assessment Approach
10.3390/su151411434 · 2023 · External reference
10.1177/1687814016661921
10.1177/1687814016661921 · External reference
Review of solid state recycling of aluminum chips
10.1016/j.resconrec.2017.06.004 · 2017 · External reference
Aluminium machining chips formation, treatment & recycling: A review
2016 · External reference
Solid state recycling of aluminium chips: Multi-technique characterization and analysis of oxidation
10.1016/j.mtla.2023.101864 · 2023 · External reference
Life Cycle Assessment of aluminum alloys chips recycling through single and multi-step Friction Stir Consolidation processes
10.1016/j.jmsy.2023.05.021 · 2023 · External reference
Effects of deformation temperature on second-phase particles and mechanical properties of 2219 Al-Cu alloy
10.1016/j.msea.2017.11.124 · 2018 · External reference
Optimization of hot press forging parameters in direct recycling of aluminium chip (AA 6061)
2014 · External reference
Multiresponse optimization and environmental analysis in direct recycling hot press forging of aluminum AA6061
10.3390/ma12121918 · 2019 · External reference
A new technique for recycling aluminium scrap
10.1016/s0924-0136(02)01133-0 · 2003 · External reference
Recycling of Plastics
2021 · External reference
Microstructural evolutions and mechanical properties of 6082 aluminum alloy part produced by a solution-forging integrated process
10.1016/j.jmatprotec.2022.117715 · 2022 · External reference
Effect of Direct Recycling Hot Press Forging Parameters on Mechanical Properties and Surface Integrity of AA7075 Aluminum Alloys
10.3390/met12101555 · 2022 · External reference
Microstructure and mechanical properties of Al-Mg-Si alloy during solution heat treatment and forging integrated forming process
10.1016/j.matchar.2022.111762 · 2022 · External reference
Characterization of AZ31B, AZ61A and AZ80A magnesium alloys with an emphasis on temperature compensation for their application to a hot forging
10.1016/j.jmapro.2022.10.054 · 2022 · External reference
Modeling of Hot Forging
10.1016/b978-0-08-096532-1.00529-x · 2014 · External reference
Microstructure and mechanical properties of AA1050/AA6061 multilayer composites via accumulative roll bonding and cryorolling and subsequent aging
10.1016/j.msea.2023.145069 · 2023 · External reference
"On the role of processing parameters in Producing recycled aluminum AA6061 based metal matrix composite (MMC-AlR) prepared using hot press forging (HPF) process
10.3390/ma10091098 · 2017 · External reference
Characterization of Chip Morphology for Aluminum Metal Matrix Composites in End Milling Machining
10.13189/ujme.2014.020705 · 2014 · External reference
A numerical investigation and experimental validation on chip morphology of Aluminum Alloy 6061 during orthogonal machining
2016 · External reference
Comparison of RSM with ANN in predicting tensile strength of friction stir welded AA7039 aluminium alloy joints
10.1016/s1003-6326(08)60221-6 · 2009 · External reference
Modelling and optimization of microhardness of electroless Ni-P-TiO2composite coating based on machine learning approaches and RSM
10.1016/j.jmrt.2021.03.063 · 2021 · External reference
The conversion of poultry slaughterhouse wastewater sludge into biodiesel: Process modeling and optimization
10.1016/j.renene.2021.07.016 · 2021 · External reference
Analysis and prediction of the tensile strength of aluminum alloy composite using statistical and artificial neural network technique
10.1088/2631-8695/abd4f1 · 2021 · External reference
ANN-GA based parametric optimization of Al-TiB2 metal matrix composite material processing technique
10.1016/j.mtcomm.2021.102444 · 2021 · External reference
A sustainable direct recycling of aluminum chip (AA6061) in hot press forging employing Response surface methodology
10.1016/j.procir.2014.07.023 · 2015 · External reference
tatistical optimization by the response surface methodology of direct recycled aluminum-alumina metal matrix composite (MMC-AlR) employing the metal forming process
2020 · External reference
A hybrid statistical approach for modeling and optimization of RON: A comparative study and combined application of response surface methodology (RSM) and artificial neural network (ANN) based on design of experiment (DOE)
10.1016/j.cherd.2016.05.023 · 2016 · External reference
Modelling of Friction Stir Extrusion using Artificial Neural Network (ANN)
2018 · External reference
Neural network application for prediction mechanical properties of Mg-Al-Zn alloys
2010 · External reference
10.1016/j.jestch.2015.02.001 · 2015 · Admitted local publication
Applicability of artificial neural network and nonlinear regression to predict mechanical properties of equal channel angular rolled Al5083 sheets
10.1590/1679-78252154 · 2016 · External reference
The effect of different parameters on mechanical properties of PA-6/clay nanocomposite through genetic algorithm and response surface methods
2015 · External reference
Optimizing the ECAP processing parameters of pure Cu through experimental, finite element, and response surface approaches
10.1515/rams-2022-0297 · 2023 · External reference
Comparative Study of Algorithms for Response Surface Optimization
10.3390/mca19010093 · 2014 · External reference
10.1109/cerma.2008.70
10.1109/cerma.2008.70 · External reference
Age hardening process modeling and optimization of aluminum alloy A356/Cow horn particulate composite for brake drum application using RSM, ANN and simulated annealing
10.1016/j.dt.2018.04.001 · 2018 · External reference
Unresolved reference
External reference
Evaluation of Mechanical Properties of Materials Based on Genetic Algorithm Optimizing BP Neural Network
2021 · External reference
10.1007/978-3-030-89010-0
10.1007/978-3-030-89010-0 · 2022 · External reference
Assessing the Mechanical Properties of a New High Strength Aluminum Hybrid MMC Based on the ANN Approach for Automotive Application
10.3390/ma15062015 · 2022 · External reference
Artificial neural networks to optimize the extrusion of an aluminium alloy
10.1007/s10845-009-0239-0 · 2010 · External reference
Comparison of artificial neural network (ANN) and response surface methodology (RSM) in predicting the compressive and splitting tensile strength of concrete prepared with glass waste and tin (Sn) can fiber
10.1016/j.jksues.2021.03.006 · 2023 · External reference
Comparison of response surface methodology and hybrid-training approach of artificial neural network in modelling the properties of concrete containing steel fibre extracted from waste tyres
10.1080/23311916.2019.1649852 · 2019 · External reference
Unresolved reference
External reference
Unresolved reference
2023 · External reference
A Comparative Study of a Machine Learning Approach and Response Surface Methodology for Optimizing the HPT Processing Parameters of AA6061/SiCp Composites
10.3390/jmmp7040148 · 2023 · External reference
Finite-sample inference and nonstandard asymptotics with Monte Carlo tests and R
10.1016/bs.host.2019.05.001 · 2019 · External reference
A review on optimal placement of phasor measurement unit (PMU),
10.1016/b978-0-323-90240-3.00028-x · 2022 · External reference
Microstructure and mechanical properties of AZ31B magnesium alloy recycled by solid-state process from different size chips
10.1016/j.jmatprotec.2009.04.002 · 2009 · External reference
Effects of Oxide Fragments on Microstructure and Mechanical Properties of AA6061 Aluminum Alloy Tube Fabricated by Thermomechanical Consolidation of Machining Chips
10.3390/ma16041384 · 2023 · External reference
The recycling of metals by plastic deformation: an example of recycling of aluminium and its alloys chips
10.1016/s0924-0136(99)00166-1 · 1999 · External reference
Effect of chip size on mechanical property and microstructure of AZ91D magnesium alloy prepared by solid state recycling
10.1016/j.matchar.2007.02.002 · 2008 · External reference
10.1016/b978-0-08-099417-8.00006-7
10.1016/b978-0-08-099417-8.00006-7 · 2014 · External reference
Unresolved reference
2013 · External reference
5.3.3.3.1. Two-level full factorial designs
2023 · External reference
10.3390/ma10080902
10.3390/ma10080902 · External reference
10.1520/e0008_e0008m-16a
10.1520/e0008_e0008m-16a · External reference
Unresolved reference
2018 · External reference
Unresolved reference
2023 · External reference
Unresolved reference
2022 · External reference
Unresolved reference
2023 · External reference
Utilization of a double-cross-linked amino-functionalized three-dimensional graphene networks as a monolithic adsorbent for methyl orange removal: Equilibrium, kinetics, thermodynamics and artificial neural network modeling
10.1016/j.envres.2021.112156 · 2022 · External reference
Exercising hybrid statistical tools GA-RSM, GA-ANN and GA-ANFIS to optimize FDM process parameters for tensile strength improvement
10.1016/j.cirpj.2020.05.009 · 2020 · External reference
The effect of plastic strain and temperature on the corrosion resistance of the Al-5.6Zn-2Mg powder metallurgy alloy during hot upsetting
10.1088/2631-8695/acfd0a · 2023 · External reference
Conjectured the behaviour of a recycled metal matrix composite (MMC-AlR) developed through hot press forging by means of 3D FEM simulation
10.3390/ma11060958 · 2018 · External reference
Experimental study on the chip morphology, tool–chip contact length, workpiece vibration, and surface roughness during high-speed face milling of A6061 aluminum alloy
10.1177/0954405419863221 · 2020 · External reference
Effect of operating temperature on direct recycling aluminium chips (AA6061) in hot press forging process
10.4028/www.scientific.net/amm.315.728 · 2013 · External reference
Unresolved reference
2017 · External reference
The influence of deformation conditions in solid-state aluminium welding processes on the resulting weld strength
10.1016/j.jmatprotec.2014.04.018 · 2014 · External reference
