G. Mauthner
Papers
1
Total Citations
1
H-Index
1
About
G. Mauthner is a researcher focused on advancing computational modeling for additive manufacturing, particularly directed energy deposition (DED) processes. Their key contributions lie in developing methodologies for element selection and clustering in multi-axis DED simulations, addressing the critical challenge of accurately capturing macroscale thermo-mechanical behavior using finite element methods. This work is foundational for improving simulation fidelity in complex, multi-axis deposition scenarios, where traditional approaches often fall short. With their most-cited paper from 2025 already garnering attention, Mauthner’s research bridges the gap between theoretical modeling and practical manufacturing applications. By refining how material deposition is simulated, they enable more precise predictions of thermal and mechanical responses, which is vital for optimizing process parameters and reducing defects in additively manufactured components. Their achievements highlight a commitment to solving real-world engineering problems through rigorous computational techniques, making their work highly relevant for students and researchers in mechanical engineering, materials science, and manufacturing. As the field of additive manufacturing continues to evolve, Mauthner’s contributions promise to enhance the reliability and efficiency of DED processes, marking them as an emerging voice in simulation-driven innovation.
Research Focus
Key Achievements
Top Papers
- 1