Publications
Our publications showcase research contributions in simulation-driven multiphysics manufacturing, additive and advanced materials processing, and intelligent engineering systems. The work integrates experimental characterization, modeling, and AI/ML-driven approaches to address complex process–structure–property relationships across a range of engineering applications.
Efficient thermal management for eVTOLs: high voltage press-sinter manufactured bi-modal capillary wicks for controlled porosity
This work presents a novel approach to thermal management for next-generation eVTOL propulsion systems through the development of bi-modal capillary wick structures fabricated using a high-voltage press-sinter method (PSM). The study focuses on designing advanced porous structures with controlled porosity and permeability to enhance two-phase heat transfer performance in high-power systems.
Through a combination of experimental fabrication, parametric optimization using Design of Experiments (DOE), and detailed materials characterization, the research establishes clear relationships between process parameters and resulting material properties, including porosity, wettability, and structural integrity. The proposed manufacturing approach enables significantly reduced fabrication time and improved design flexibility compared to conventional methods.
This work contributes to the development of scalable, high-performance, and sustainable thermal management solutions, with direct relevance to aerospace, electrified propulsion, and energy systems, and reflects the group’s broader efforts in multiphysics-driven and intelligent manufacturing research.
Evaluation of hydrophilicity and surface morphology of nanosecond-pulsed laser-engineered surface textures on stainless steel, cobalt-chromium, and titanium alloys
This work investigates nanosecond-pulsed laser surface texturing of stainless steel, titanium, and cobalt-chromium alloys for biomedical applications, with a focus on enhancing surface functionality and biocompatibility. The study demonstrates how controlled laser-engineered micro-topographies can significantly influence surface morphology, wettability, and cellular response, which are critical factors for implant integration and performance.
Through a combination of experimental fabrication, surface characterization (SEM, profilometry, and contact angle analysis), and multiphysics-based numerical modeling, the research establishes a clear relationship between laser processing parameters and resulting surface properties. The results show that laser-textured surfaces exhibit improved hydrophilicity and enhanced potential for cell adhesion, particularly in stainless steel, while maintaining minimal oxidation under controlled processing conditions.
This work highlights the capability of laser-based surface engineering as a scalable and precise manufacturing approach, bridging simulation and experiments to design functional surfaces for next-generation biomedical devices. It further reflects the lab’s broader efforts in multiphysics-driven, sustainable, and intelligent manufacturing and materials processing.
This work was presented at the ASME International Mechanical Engineering Congress & Exposition 2024 (IMECE 2024), a leading international forum for advances in mechanical engineering. The paper highlights research in advanced manufacturing and multiphysics-driven process analysis, integrating simulation and experimental approaches to investigate complex engineering systems. It contributes to ongoing efforts in developing intelligent and sustainable manufacturing technologies and reflects active engagement with the broader research community.
This work presents a study on fostering an entrepreneurial mindset among graduating mechanical engineering students through structured coursework, training strategies, and the Question Formulation Technique (QFT). The research employs survey-based assessment and statistical analysis, including factor analysis and Cronbach’s alpha, to evaluate the impact of experiential learning approaches on students’ curiosity, innovation, and problem-solving abilities. The results demonstrate measurable improvements in students’ entrepreneurial thinking when exposed to targeted instructional frameworks, highlighting the importance of integrating innovation-driven methodologies within engineering education.