Mastering CONVERGE CFD through Practical Challenges
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This book offers a comprehensive, application-focused guide to computational fluid dynamics (CFD) using the CONVERGE platform. Designed for students, researchers, and engineering professionals, the book presents a structured, hands-on approach to mastering key topics in fluid flow, heat transfer, combustion processes, and emissions modeling.
Across eleven progressively advanced chapters, readers explore simulation workflows that begin with fundamental cases—such as laminar channel flow and backward-facing step recirculation—and build up to complex applications, including supersonic expansion fans, conjugate heat transfer, port fuel injection, and diesel engine combustion with emissions analysis. Each challenge walks through the full simulation process, from geometry setup and mesh configuration to solver execution and post-processing using CONVERGE Studio and ParaView.
Emphasizing reproducibility and practical implementation, the book includes ready-to-use input files, detailed installation instructions, solver configuration guidance, and model explanations. It supports both independent learners and academic instruction, effectively bridging the gap between CFD theory and its real-world application.
Whether you are new to CFD or transitioning to CONVERGE, this resource provides the tools, workflows, and insights needed to confidently simulate complex engineering systems with accuracy and efficiency.
Details
- Publication Date
- Apr 16, 2025
- Language
- English
- ISBN
- 9781326511227
- Category
- Engineering
- Copyright
- All Rights Reserved - Standard Copyright License
- Contributors
- By (author): Abdellatif Sadeq
Specifications
- Format
- EPUB
Keywords
CONVERGE CFDComputational Fluid DynamicsCFD simulationsCombustion modelingEngine simulationSpray modelingAdaptive Mesh RefinementParaView post-processingInternal combustion enginesHeat transfer simulationEmissions predictionPFI engineDiesel engine modelingMultiphase flowShock wave simulationConjugate heat transferTurbulence modelingNumerical methodsThermal-fluid systemsSimulation-based learning