Chong Teng

Ansys (United States)

Papers

1

Total Citations

1

H-Index

1

About

Chong Teng is a leading researcher in advanced manufacturing simulation, with a primary focus on directed energy deposition (DED) additive processes. His work centers on developing high-fidelity finite element method (FEM) models that accurately capture the complex thermo-mechanical behavior of multi-axis DED, addressing critical challenges in element selection and clustering strategies. Teng’s most cited paper, "Methodology for element selection and clustering in multi-axis directed energy deposition simulation" (2025), introduces specific modeling techniques essential for simulating macroscale material deposition physics. This work has already garnered attention for its practical approach to improving simulation accuracy, laying the groundwork for more reliable predictions of thermal histories and residual stresses in additively manufactured components. By bridging the gap between computational modeling and real-world DED process control, Teng enables engineers to optimize build strategies and reduce trial-and-error experimentation. His contributions are particularly valuable for industries requiring complex, multi-axis deposition paths, such as aerospace and tooling. With a growing citation impact and a focus on actionable methodologies, Chong Teng is establishing himself as a key voice in the simulation-driven future of additive manufacturing.

Research Focus

Key Achievements

1
H-Index
1
Papers
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Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Methodology for element selection and clustering in multi-axis directed energy deposition simulation
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Ansys (United States)

Top Papers

  1. 1

Key Collaborators

Contact & Links

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