FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384341102> ?p ?o ?g. }

• W4384341102 endingPage "6371" @default.
• W4384341102 startingPage "6371" @default.
• W4384341102 abstract "Uniform temperature distribution during quenching thermal treatment is crucial for achieving exceptional mechanical and physical properties of alloy materials. Accurate and rapid prediction of the 3D transient temperature field model of large-scale aluminum alloy workpieces is key to realizing effective thermal treatment. This paper establishes a 3D transient temperature field model of large aluminum alloy workpieces and proposes a multi-loss consistency optimization-based physics-informed neural network (MCO-PINN) to realize soft sensing of the 3D temperature field model. The method is based on a MLP structure and adopts Gaussian activation functions. A surrogate model of the partial differential equation (PDE) is first constructed, and the residuals of the PDE, initial and boundary conditions, and observed data are encoded into the loss functions of the network. By establishing a Gaussian probability distribution model of each loss function and combining it with maximum likelihood estimation, the weight consistency optimization method of each loss function is then proposed to further improve the approximation ability of the model. To optimize the training speed of the network, an adaptive initial-value-eigenvector coding clustering (AIV-ECC) algorithm is finally proposed, which quickly determines the parameters of the Gaussian activation function, reduces the dependence on the initial value and improves the generalization performance of the network. Simulation and industrial experiments demonstrate that the proposed MCO-PINN can solve the 3D transient temperature field model with high precision and high time efficiency based on sparse measurements." @default.
• W4384341102 created "2023-07-15" @default.
• W4384341102 creator A5040523461 @default.
• W4384341102 creator A5058861954 @default.
• W4384341102 creator A5071493261 @default.
• W4384341102 creator A5072362512 @default.
• W4384341102 date "2023-07-13" @default.
• W4384341102 modified "2023-10-18" @default.
• W4384341102 title "Soft Sensor Modeling for 3D Transient Temperature Field of Large-Scale Aluminum Alloy Workpieces Based on Multi-Loss Consistency Optimization PINN" @default.
• W4384341102 cites W2015835788 @default.
• W4384341102 cites W2028415686 @default.
• W4384341102 cites W2072973137 @default.
• W4384341102 cites W2165698076 @default.
• W4384341102 cites W2171299328 @default.
• W4384341102 cites W2520398456 @default.
• W4384341102 cites W2550275735 @default.
• W4384341102 cites W2625995436 @default.
• W4384341102 cites W2790699875 @default.
• W4384341102 cites W2899283552 @default.
• W4384341102 cites W2903660960 @default.
• W4384341102 cites W2912374992 @default.
• W4384341102 cites W2948230027 @default.
• W4384341102 cites W2948551291 @default.
• W4384341102 cites W2965420085 @default.
• W4384341102 cites W2973886134 @default.
• W4384341102 cites W2980434596 @default.
• W4384341102 cites W2985622559 @default.
• W4384341102 cites W3006057502 @default.
• W4384341102 cites W3008101623 @default.
• W4384341102 cites W3030618279 @default.
• W4384341102 cites W3043174105 @default.
• W4384341102 cites W3096600878 @default.
• W4384341102 cites W3125071846 @default.
• W4384341102 cites W3154035348 @default.
• W4384341102 cites W3200951255 @default.
• W4384341102 cites W3205265842 @default.
• W4384341102 cites W4212954647 @default.
• W4384341102 cites W4213123144 @default.
• W4384341102 cites W4213322241 @default.
• W4384341102 cites W4226282825 @default.
• W4384341102 cites W4229015109 @default.
• W4384341102 cites W4280551229 @default.
• W4384341102 cites W4283208710 @default.
• W4384341102 cites W4285082008 @default.
• W4384341102 cites W4303646514 @default.
• W4384341102 cites W4310422533 @default.
• W4384341102 cites W4311808272 @default.
• W4384341102 cites W4312759149 @default.
• W4384341102 cites W4317538891 @default.
• W4384341102 cites W4320036720 @default.
• W4384341102 cites W4322707261 @default.
• W4384341102 cites W4323315273 @default.
• W4384341102 cites W4360764287 @default.
• W4384341102 cites W4375854791 @default.
• W4384341102 doi "https://doi.org/10.3390/s23146371" @default.
• W4384341102 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37514663" @default.
• W4384341102 hasPublicationYear "2023" @default.
• W4384341102 type Work @default.
• W4384341102 citedByCount "0" @default.
• W4384341102 crossrefType "journal-article" @default.
• W4384341102 hasAuthorship W4384341102A5040523461 @default.
• W4384341102 hasAuthorship W4384341102A5058861954 @default.
• W4384341102 hasAuthorship W4384341102A5071493261 @default.
• W4384341102 hasAuthorship W4384341102A5072362512 @default.
• W4384341102 hasBestOaLocation W43843411021 @default.
• W4384341102 hasConcept C11413529 @default.
• W4384341102 hasConcept C121332964 @default.
• W4384341102 hasConcept C126255220 @default.
• W4384341102 hasConcept C154945302 @default.
• W4384341102 hasConcept C163716315 @default.
• W4384341102 hasConcept C192562407 @default.
• W4384341102 hasConcept C202444582 @default.
• W4384341102 hasConcept C2776436953 @default.
• W4384341102 hasConcept C28826006 @default.
• W4384341102 hasConcept C33923547 @default.
• W4384341102 hasConcept C41008148 @default.
• W4384341102 hasConcept C62520636 @default.
• W4384341102 hasConcept C9652623 @default.
• W4384341102 hasConceptScore W4384341102C11413529 @default.
• W4384341102 hasConceptScore W4384341102C121332964 @default.
• W4384341102 hasConceptScore W4384341102C126255220 @default.
• W4384341102 hasConceptScore W4384341102C154945302 @default.
• W4384341102 hasConceptScore W4384341102C163716315 @default.
• W4384341102 hasConceptScore W4384341102C192562407 @default.
• W4384341102 hasConceptScore W4384341102C202444582 @default.
• W4384341102 hasConceptScore W4384341102C2776436953 @default.
• W4384341102 hasConceptScore W4384341102C28826006 @default.
• W4384341102 hasConceptScore W4384341102C33923547 @default.
• W4384341102 hasConceptScore W4384341102C41008148 @default.
• W4384341102 hasConceptScore W4384341102C62520636 @default.
• W4384341102 hasConceptScore W4384341102C9652623 @default.
• W4384341102 hasFunder F4320321001 @default.
• W4384341102 hasIssue "14" @default.
• W4384341102 hasLocation W43843411021 @default.
• W4384341102 hasLocation W43843411022 @default.
• W4384341102 hasLocation W43843411023 @default.
• W4384341102 hasOpenAccess W4384341102 @default.
• W4384341102 hasPrimaryLocation W43843411021 @default.

• next