An active machine learning approach for optimal design of magnesium alloys using Bayesian optimisation. [PDF]
Ghorbani M +3 more
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Review of Magnesium Wheel Types and Methods of Their Manufacture. [PDF]
Dziubinska A +4 more
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Linear Elastic FE-Analysis of Porous, Laser Welded, Heat Treatable, Aluminium High Pressure Die Castings Based on X-Ray Computed Tomography Data. [PDF]
Teichmann F +4 more
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A Method for Straightening Distorted Giga-Cast Large Thin-Walled Components. [PDF]
Park D, Park J, Kim N.
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Corrosion and Residual Strength Analysis of High Pressure Die Casting AM Series Mg Alloys. [PDF]
Zheng T, Hu Y, Meng W, Tang A, Pan F.
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Novel Magnesium Nanocomposite for Wire-Arc Directed Energy Deposition. [PDF]
Dieringa H +8 more
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Nano-Enhanced Phase Reinforced Magnesium Matrix Composites: A Review of the Matrix, Reinforcement, Interface Design, Properties and Potential Applications. [PDF]
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How High‐Pressure Die‐Cast Component (HPDC) Foundries Benefit from Numerical Simulation
Advanced Engineering Materials, 2003The value of simulating the high pressure die‐casting process is demonstrated by showing and discussing the abilities of state‐of‐the‐art modeling of a typical component of the electronics industry. Process parameters, which can be optimized by simulation as well as process improvements, are identified.
Wendt, Joachim, Pellikka, Eero
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Abstract The application of computer aided engineering (CAE) has become a trend in manufacture industry due to its great efficiency and reliability. In casting industries, numerical modelling of the casting process based on CAE has replaced traditional trial-and-error R&D procedures in many aspects.
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