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Lucilla Almeida


 

Ansys Blog Authors

Lucilla Almeida

CAE Specialist Rocky-DEM, ESSS

Lucilla focuses on applying Computational Fluid Dynamics to solve common engineering problems. She is a CAE Specialist at ESSS, responsible for technical sales devlopment, post sales, and the support of the product Rocky-DEM. Prior to joining ESSS, she was a trainee at Petrobras Research & Development Center in the Primary Petroleum Processing group.

Education: 

  • Bachelor of Science degree in Chemical Engineering from Universidade Federal do Rio de Janeiro
  • Master of Science degree in Chemical Engineering from Universidade Federal do Rio de Janeiro
  • Doctor of Science degree in Nuclear Engineering from Universidade Federal do Rio de Janeiro

Professional Credentials: 

  • An Introduction to Interactive Programming in Python (Parts 1 & 2) from Rice University
  • Programming for Everybody (Getting Started with Python) from the University of Michigan
  • Principles of Computing (Parts 1 & 2) from Rice University
  • Python Data Structures from the University of Michigan
  • Using Python to Access Web Data from the University of Michigan
  • Using Data Bases with Python from the University of Michigan
  • Python for Eveybody Specialization from Cousera Course Certificates

Articles by This Author

Simulation of particle transport in a pipe can be used to assess erosion

Using CFD-DEM Coupling to Model Non-Spherical Particle and Fluid Flow

Coupling computational fluid dynamics (CFD) with the discrete element method (DEM) enables engineers to assess non-spherical particle-fluid interactions.

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Visualize thermal dynamics

Ansys Innovation Courses Help Second-Year University Students “Visualize” Thermodynamics

Ansys Innovation Courses allow professor to concentrate her lectures on teaching the fundamentals of thermodynamics, while students learn about simulation on their own through online courses.

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Podbike FRIKAR e-bike

Cool, Compact and Comfortable: Podbike FRIKAR Redefines the Velomobile

See how Podbike used computer-aided design (CAD) and simulation to develop FRIKAR, a fully encapsulated, energy-efficient, all-weather, four-wheel e-bike.

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