Research & Initiatives
The SIMMAP Lab conducts cutting-edge research at the intersection of multiphysics simulation, advanced manufacturing, materials processing, and intelligent engineering systems. Our initiatives integrate experimental investigation, data-driven methodologies, and digital twin frameworks to address complex process–structure–property relationships and develop scalable solutions for real-world engineering challenges in aerospace, biomedical, and energy applications.
Track 1. Multiphysics Modeling & Simulation
We develop high-fidelity computational models to study coupled thermal, fluid, and material interactions in manufacturing systems.
Tools & Methods:
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ANSYS (Transient Thermal, Structural)
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Flow-3D (multiphase and laser interaction modeling)
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Custom physics-based models (heat transfer, phase change, fluid flow)
Track 2. Advanced & Additive Manufacturing
Our research focuses on laser-based manufacturing, additive manufacturing, and high-voltage press-sintering processes for fabricating complex and functional materials.
Equipment:
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CO₂ laser systems (≈750 W)
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High-voltage press-sinter setup (Sunstone welder system)
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3D printing systems for rapid prototyping
Track 3. Materials & Surface Engineering
We investigate material behavior, microstructure evolution, and surface modification techniques to tailor functional properties.
Characterization Tools:
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Confocal microscopy
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Optical microscopy (Amscope)
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Surface wettability (contact angle analysis)
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Microstructure analysis and polishing setups
Track 4. Experimental Characterization & Validation
We conduct controlled experiments to validate simulation results and establish process–structure–property relationships.
Capabilities:
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Thermal testing and heat flux experiments
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Mechanical response and hardness evaluation
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Porosity and permeability measurements
Track 5. AI/ML & Digital Twin for Manufacturing
We develop data-driven models and digital twin frameworks for predictive modeling, optimization, and real-time process monitoring.
Models & Techniques:
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Regression models (linear, polynomial)
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Decision trees and random forest models
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Neural networks (basic feedforward models)
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Design of Experiments (DOE) + ANOVA
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Surrogate modeling for process optimization
Track 6. Thermal Management & Energy Systems
We design and fabricate advanced thermal management solutions, including porous wick structures for two-phase heat transfer systems.
Focus Areas:
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Capillary-driven flow and heat transfer
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Porous media design and optimization
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High-performance cooling for aerospace systems
Track 7. Real-World Applications & Systems Integration
We translate research into practical engineering solutions across multiple domains.
Applications:
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Aerospace (eVTOL thermal systems)
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Biomedical (surface-engineered implants)
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Energy systems (efficient heat transfer devices)
