Reference health
Multimodal Data-Driven Design of Low Pressure Die Casting Gating System for Aluminum Alloy Cabin
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Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 17 checked references that resolve
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First-principle investigation of pressure and temperature influence on structural, mechanical and thermodynamic properties of Ti3AC2 (A = Al and Si)
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Phase prediction and effect of intrinsic residual strain on phase stability in high-entropy alloys with machine learning
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Predict the phase formation of high-entropy alloys by compositions
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Efficient alloy design of Sr-modified A356 alloys driven by computational thermodynamics and machine learning
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Dramatically Enhanced Combination of Ultimate Tensile Strength and Electric Conductivity of Alloys via Machine Learning Screening
resolves10.2478/v10172-011-0109-6
Effect of Vortex Runner Gating System on the Mechanical Strength of Al-12Si Alloy Castings
resolves10.1016/j.nexus.2021.100002
A systematic review on methods of optimizing riser and gating system based on energy Nexus approach
resolves10.1016/j.jmatprotec.2007.08.036
Numerical optimization of gating system parameters for a magnesium alloy casting with multiple performance characteristics
resolves10.1007/s00170-018-2980-z
A computer-aided system for multi-gate gating-system design for die-casting dies
resolves10.1007/s00170-012-4190-4
An intelligent system for low-pressure die-cast process parameters optimization
resolves10.1631/jzus.A1100250
Multi-objective process parameter optimization for energy saving in injection molding process
resolves10.1016/j.jmapro.2020.01.016
Optimization of solidification in die casting using numerical simulations and machine learning
resolves10.1007/s00170-020-06143-7
Engineering computing and data-driven for gating system design in investment casting
resolves10.1016/j.jmrt.2023.05.024
Thermal and solute diffusion in
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-Mg dendrite growth of Mg-5wt.%Zn alloy: A phase-field study
resolves10.1103/PhysRevE.57.4323
Quantitative phase-field modeling of dendritic growth in two and three dimensions
resolves10.1016/j.jmst.2020.10.035
Optimizing microstructure, shrinkage defects and mechanical performance of ZL205A alloys via coupling travelling magnetic fields with unidirectional solidification
The 12 references without a DOI — listed, not checked
no DOI — not checkedProgress in materials genome engineering in china
no DOI — not checkedMachine learning for materials research and development
no DOI — not checkedUnderstanding and design of metallic alloys guided by phase-field simulations
no DOI — not checkedPhase transformations in an ultralight bcc mg alloy during anisothermal ageing
no DOI — not checkedRole of interfacial energy anisotropy in dendrite orientation in al-zn alloys: A phase field study
no DOI — not checkedRevealing high-fidelity phase selection rules for high entropy alloys: A combined calphad and machine learning study
no DOI — not checkedFrom classical thermodynamics to phase-field method
no DOI — not checkedDesign of new al-si-mg alloys by multi-modal mixed input simulation experiment
no DOI — not checkedOptimal design of the gating and riser system for complex casting using an evolutionary algorithm
no DOI — not checkedRobustness of machine learning to color, size change, normalization, and image enhancement on micrograph datasets with large sample differences
no DOI — not checkedref26
no DOI — not checkedOptimization of low-pressure die casting process parameters for reduction of shrinkage porosity in zl205a alloy casting using taguchi method
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