Casting Simulation Within the Framework of ICME: Coupling of Solidification, Heat Treatment, and Structural Analysis

Guo, J.; Scott, Sam; Cao, Wei; Köser, Ole

doi:10.1007/s11837-016-1866-5

Cited by 4 publications

(1 citation statement)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bryan et al [9] demonstrated alloy design using the ICME-based modeling approach, and sought to provide insight into an integrative approach that captured the important underlying material physics through relationships parameterized by descriptive thermodynamic and kinetic factors. Guo et al [10] developed a numerical approach to predict casting microstructure, defects formation and mechanical properties from solidification to heat treatment based on ICME approach. This method was applied to simulation of automotive casting process and showed good agreement with experiment.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Magnesium Alloy Casting Process: An Integrated Computational Materials Engineering (ICME) Approach

Chang

Shen

Fan

et al. 2021

MSF

View full text Add to dashboard Cite

Traditional casting process optimization usually adopts empirical trial and error method. Process parameters were modified repeatedly within a certain range until a satisfactory solution is obtained, which is costly and inefficient. Therefore, based on integrated computational materials engineering, Magnesium Alloy Simulation Integrated Platform (MASIP) was constructed. MASIP completed the automatic operation of the entire simulation process from the CAD model data input to the process-microstructure-performance. It realized the rapid optimization simulation prediction of process-microstructure-performance, and solved the problems of long cycle and low efficiency of traditional process optimization. This paper studied the low-pressure casting optimization process of magnesium alloy thin-walled cylindrical parts based on MASIP. The calculation took casting temperature, mold temperature and holding pressure as the optimized variables, and the yield strength of the casting as the target variable. The experimental results showed that MASIP can fairly complete the structure simulation and performance prediction of castings, greatly reduce the time cost of the calculation process, and improve the efficiency of process optimization.

show abstract

Section: Introductionmentioning

confidence: 99%