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Updated: Aug 5, 2026

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Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
Published on: December 13, 2016
A Focused Review on Multiscale Characterization and Process-Structure-Property Linkages in Aerospace Die Forgings
Lin Gao1, Yu-Qing Zhang1,2, Xiao Liu1
1Erzhong (Deyang) Heavy Equipment Co., Ltd., Deyang 618000, China.
Materials (Basel, Switzerland)
|July 28, 2026
Summary
Aerospace die forgings require multiscale analysis for optimal performance. Understanding microstructural evolution across all scales is key to controlling properties and ensuring safety in critical applications.
Area of Science:
- Materials Science
- Metallurgy
- Aerospace Engineering
Background:
- Aerospace die forgings are safety-critical components.
- Their performance depends on complex microstructural evolution across multiple length scales.
Purpose of the Study:
- To synthesize recent advancements in multiscale characterization and process-structure-property analysis of aerospace die forgings.
- To establish a framework linking macroscale integrity to nanoscale features.
- To review characterization techniques and modeling approaches.
Main Methods:
- Multiscale characterization including X-ray diffraction, EBSD, TEM/STEM, and atom probe tomography.
- Correlative workflows for defect evaluation.
- Analysis of forged titanium alloys, nickel-based superalloys, and aluminum alloys.
Main Results:
- A framework connecting macroscale metal-flow integrity to mesoscale gradients, microscale grain-boundary evolution, and nanoscale precipitation.
- Detailed discussion of alloy-specific mechanisms and property consequences.
- Identification of key microstructural features: phase stability, grain boundaries, precipitation, defects, and heterogeneity.
Conclusions:
- Coordinated control of multiscale features is essential for aerospace die forging performance.
- Multiscale descriptors can enhance predictive modeling (e.g., crystal-plasticity, ICME).
- Future priorities include 3D characterization, quantitative descriptors, and uncertainty-aware modeling.
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