Welcome to Forethought India One-on-One Courses. Our program is designed to provide students with the skills and knowledge necessary to excel in their chosen profession. Our instructor for this course is Researcher Karuna Anna at Iowa State University
The "Computational Fluid Dynamics (CFD) in Chemical Engineering" course offers a comprehensive exploration of CFD techniques tailored specifically for chemical engineering applications. Over the span of multiple lectures, this course introduces students to the fundamental principles of fluid dynamics, numerical methods, and the intricacies of CFD simulations. Covering topics ranging from basic control volume analysis to advanced turbulence modeling, multiphase flows, heat transfer, and reacting flows, the course delves into the complexities of simulating chemical processes. It also emphasizes the practical aspects of CFD, including mesh generation, software utilization, validation techniques, and real-world applications within the chemical industry. As the course progresses, it delves deeper into intricate subjects like unstructured mesh generation, handling complex geometries, coupled problems, and the integration of cutting-edge technologies like machine learning for predictive analysis. Additionally, it explores the role of CFD in sustainable engineering, biomedicine, nanotechnology, renewable energy, and emerging trends, offering students a robust understanding of CFD's diverse applications within the realm of chemical engineering.
At the end of the program, students will receive a certificate & performance letter by the eductor indicating that they have completed the program and acquired the necessary skills and knowledge to excel in their chosen profession.
Computational Fluid Dynamics (CFD) in Chemical Engineering, by Karuna Anna
I am a patient and persistent learner. By training, I am a Computational Chemist with expertise in protein/peptide modeling, peptide folding, drug-receptor modeling, antigen-antibody interaction modeling, allosteric site identification and protein engineering. Computational methodologies/analyses such as enhanced sampling molecular dynamics simulations, molecular docking and calculations of thermodynamical parameters (entropy and free energy), all atom and coarse-grained modeling and simulations are my proficiencies. I am familiar with bioinformatics and cheminformatics libraries and also have working knowledge of ML models to solve problems in biochemistry.