Marcial Gonzalez, Ph.D.
School of Mechanical Engineering
West Lafayette, IN 47907
Predictive multiscale modeling and simulation
Our research sits at the interface of virtual-physical particulate engineering, and it focuses on developing predictive modeling, simulation, and characterization techniques, at and across different scales, to further the understanding of microstructure formation and evolution in confined particulate systems, with an emphasis in manufacturing processes and the relationship between product fabrication and performance.
Application areas of interest include:
(ii) continuous manufacturing (e.g., Quality by Design, model predictive control, and reduced order models), and
(iii) performance of pharmaceutical solid products (e.g., tensile strength, stiffness, swelling and disintegration), biomaterials (e.g., transport and feeding of corn stover) and energetic materials (e.g., deformation and heat generation under quasi-static, near-resonant and impact conditions, and formation and growth of hot spots) materials.
Multi-scale modeling, simulation and characterization of particulate products processing and performance
Mesoscale modeling and simulation energetic and mock composite materials under impact
Integrated biorefinery optimization: Analytical modeling of biomass transport and feeding systems
Continuous tableting pilot plant: Direct compaction, dry granulation, wet granulation
Understanding the effect of powder properties and processing conditions on the performance of pharmaceutical tablets
Thermomechanics of energetic and mock energetic composite materials under quasi-static and nearresonant excitations
Modeling granular material mixing and segregation using a finite element method and advection-diffusion-segregation (ADS) multi-scale model
Current and recent funding sources and sponsors
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Center for Particulate Products and Processes (CP3)
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