Shape Optimization Course with ANSYS Fluent Adjoint Solver & RBF Morph

Shape Optimization Course with ANSYS Fluent Adjoint Solver & RBF Morph

Price: $300 $209

Master the art of design optimization using CFD with our comprehensive “RBF: All Levels” course. Focused on ANSYS Fluent, this training guides you through shape optimization using the Radial Basis Function (RBF) method for mesh morphing. From fundamentals to advanced applications, you’ll learn to define target parameters, perform sensitivity analysis, and implement mesh morphing techniques. Through detailed video lessons and practical projects, including flow around cylinders, airfoil optimization, and pipeline pressure drop reduction, you’ll gain the skills to tackle real-world design challenges. Whether you’re a beginner or experienced CFD engineer, this course will elevate your capabilities in advanced simulation and design optimization.

Latest Lesson in This Course

Added Nov 18, 2024

Minimizing Pressure Drop by Adjoint Solver (RBF) CFD Simulation

Master Pressure Drop Minimization: Advanced CFD Optimization with ANSYS Fluent Elevate your Computational Fluid Dynamics (CFD) expertise with our cutting-edge episode, “Minimizing Pressure Drop by Adjoint Solver (RBF), ANSYS Fluent CFD Simulation Training,” a key component of our comprehensive “RBF: All Levels” course. This advanced lesson will equip you with the skills to optimize complex fluid systems using ANSYS Fluent’s powerful Adjoint Solver and Gradient-Based Optimizer. Episode Overview: Revolutionize Pipe Flow Optimization In this detailed tutorial, you’ll dive deep into the intricacies of minimizing pressure drop in a U-shaped pipe bend. Learn how to leverage state-of-the-art numerical simulation techniques to significantly improve fluid system efficiency. We’ll guide you through a sophisticated three-stage optimization process, demonstrating the practical application of the Adjoint Solver and Radial Basis Function (RBF) method in real-world scenarios. Key Learning Objectives Master the three-stage CFD optimization process for complex pipe geometries Apply Adjoint Solver methodology for advanced sensitivity analysis in fluid systems Implement RBF mesh morphing techniques for precise geometry optimization Analyze and interpret complex optimization results for industrial fluid flow applications Comprehensive Exploration of Pressure Drop Optimization 1. Project Setup and Initial Simulation - Detailed walkthrough of U-shaped pipe geometry creation in Design Modeler - Advanced structured meshing techniques in ANSYS Meshing for fluid flow accuracy - Setup and execution of initial flow simulation for baseline performance assessment 2. Advanced Adjoint Solver Application - Definition and significance of pressure drop as a critical optimization target - In-depth explanation of shape sensitivity analysis for complex pipe geometries - Techniques for interpreting sensitivity data to guide design improvements in fluid systems 3. Gradient-Based Optimizer Mastery - Step-by-step guide to configuring the Design Tool tab for pipe flow optimization - Implementation of RBF mesh morphing for precise pipe geometry deformation - Strategies for defining and refining optimization objectives and constraints in fluid dynamics 4. Result Analysis and Interpretation - Advanced techniques for analyzing velocity and pressure contours in pipe bends - Interpretation of shape sensitivity contours for fluid flow performance - Evaluation of design changes and their impact on pressure drop reduction Why This Episode Is Crucial for Fluid Systems Engineers Provides hands-on experience with industry-leading CFD optimization tools Demonstrates practical application of theoretical concepts in pipe flow design Enhances your ability to tackle complex fluid dynamics challenges in industrial settings Prepares you for advanced optimization projects in various engineering fields Who Should Watch This episode is ideal for: Process engineers working on industrial piping systems HVAC engineers optimizing ductwork and fluid distribution CFD specialists seeking to enhance their optimization skills in complex geometries Researchers and students in fluid dynamics and thermal systems Transform Your Approach to Fluid System Optimization Don’t miss this opportunity to revolutionize your fluid system design skills. This episode is your gateway to mastering some of the most advanced and efficient optimization techniques available in the industry. What You'll Gain Proficiency in using Adjoint Solver for pipe flow sensitivity analysis Skills to implement RBF mesh morphing for precise pipe geometry optimization Ability to achieve significant performance improvements (e.g., 38% reduction in pressure drop) Practical knowledge directly applicable to real-world fluid engineering challenges Enroll now to transform your approach to CFD-based fluid system optimization. Whether you’re designing industrial piping networks, optimizing HVAC systems, or refining process equipment, this course will equip you with the tools and knowledge to excel in your field. Join us in exploring the cutting-edge of fluid dynamics CFD technology and take your optimization skills to new levels of efficiency and performance!

Beginner, Intermediate, Advanced
5 Lessons
2h 48m 48s
  • 0% Complete
  • Shape Optimization Course with ANSYS Fluent Adjoint Solver & RBF Morph
    ANSYS Fluent

    Shape Optimization Course with ANSYS Fluent Adjoint Solver & RBF Morph

    Price: $300 $209

    Master the art of design optimization using CFD with our comprehensive “RBF: All Levels” course. Focused on ANSYS Fluent, this training guides you through shape optimization using the Radial Basis Function (RBF) method for mesh morphing. From fundamentals to advanced applications, you’ll learn to define target parameters, perform sensitivity analysis, and implement mesh morphing techniques. Through detailed video lessons and practical projects, including flow around cylinders, airfoil optimization, and pipeline pressure drop reduction, you’ll gain the skills to tackle real-world design challenges. Whether you’re a beginner or experienced CFD engineer, this course will elevate your capabilities in advanced simulation and design optimization.

    Beginner, Intermediate, Advanced
    5 Lessons
    2h 48m 48s
    Latest Lesson in This Course

    Added Nov 18, 2024

    Minimizing Pressure Drop by Adjoint Solver (RBF) CFD Simulation

    Master Pressure Drop Minimization: Advanced CFD Optimization with ANSYS Fluent Elevate your Computational Fluid Dynamics (CFD) expertise with our cutting-edge episode, “Minimizing Pressure Drop by Adjoint Solver (RBF), ANSYS Fluent CFD Simulation Training,” a key component of our comprehensive “RBF: All Levels” course. This advanced lesson will equip you with the skills to optimize complex fluid systems using ANSYS Fluent’s powerful Adjoint Solver and Gradient-Based Optimizer. Episode Overview: Revolutionize Pipe Flow Optimization In this detailed tutorial, you’ll dive deep into the intricacies of minimizing pressure drop in a U-shaped pipe bend. Learn how to leverage state-of-the-art numerical simulation techniques to significantly improve fluid system efficiency. We’ll guide you through a sophisticated three-stage optimization process, demonstrating the practical application of the Adjoint Solver and Radial Basis Function (RBF) method in real-world scenarios. Key Learning Objectives Master the three-stage CFD optimization process for complex pipe geometries Apply Adjoint Solver methodology for advanced sensitivity analysis in fluid systems Implement RBF mesh morphing techniques for precise geometry optimization Analyze and interpret complex optimization results for industrial fluid flow applications Comprehensive Exploration of Pressure Drop Optimization 1. Project Setup and Initial Simulation - Detailed walkthrough of U-shaped pipe geometry creation in Design Modeler - Advanced structured meshing techniques in ANSYS Meshing for fluid flow accuracy - Setup and execution of initial flow simulation for baseline performance assessment 2. Advanced Adjoint Solver Application - Definition and significance of pressure drop as a critical optimization target - In-depth explanation of shape sensitivity analysis for complex pipe geometries - Techniques for interpreting sensitivity data to guide design improvements in fluid systems 3. Gradient-Based Optimizer Mastery - Step-by-step guide to configuring the Design Tool tab for pipe flow optimization - Implementation of RBF mesh morphing for precise pipe geometry deformation - Strategies for defining and refining optimization objectives and constraints in fluid dynamics 4. Result Analysis and Interpretation - Advanced techniques for analyzing velocity and pressure contours in pipe bends - Interpretation of shape sensitivity contours for fluid flow performance - Evaluation of design changes and their impact on pressure drop reduction Why This Episode Is Crucial for Fluid Systems Engineers Provides hands-on experience with industry-leading CFD optimization tools Demonstrates practical application of theoretical concepts in pipe flow design Enhances your ability to tackle complex fluid dynamics challenges in industrial settings Prepares you for advanced optimization projects in various engineering fields Who Should Watch This episode is ideal for: Process engineers working on industrial piping systems HVAC engineers optimizing ductwork and fluid distribution CFD specialists seeking to enhance their optimization skills in complex geometries Researchers and students in fluid dynamics and thermal systems Transform Your Approach to Fluid System Optimization Don’t miss this opportunity to revolutionize your fluid system design skills. This episode is your gateway to mastering some of the most advanced and efficient optimization techniques available in the industry. What You'll Gain Proficiency in using Adjoint Solver for pipe flow sensitivity analysis Skills to implement RBF mesh morphing for precise pipe geometry optimization Ability to achieve significant performance improvements (e.g., 38% reduction in pressure drop) Practical knowledge directly applicable to real-world fluid engineering challenges Enroll now to transform your approach to CFD-based fluid system optimization. Whether you’re designing industrial piping networks, optimizing HVAC systems, or refining process equipment, this course will equip you with the tools and knowledge to excel in your field. Join us in exploring the cutting-edge of fluid dynamics CFD technology and take your optimization skills to new levels of efficiency and performance!

    1. Section 1

      Concept

      1. Master RBF Morph: Revolutionize Your Design Optimization Skills Embark on your journey to advanced design optimization with the first episode of our “RBF: All Levels” course. This foundational lesson, “RBF Morph (Mesh Morphing) Introduction,” sets the stage for mastering cutting-edge techniques in Computational Fluid Dynamics (CFD) using ANSYS Fluent. Episode Overview: Unveiling the Power of Mesh Morphing In this comprehensive introductory video, you’ll dive deep into the core concepts of RBF Morph and Mesh Morphing. This episode is carefully crafted to provide both novices and experienced engineers with a solid foundation in design optimization techniques, preparing you for the advanced applications to come. Key Learning Objectives Grasp the fundamental principles of design optimization in CFD Understand the role of mesh morphing in enhancing simulation accuracy Explore various optimization methods available in ANSYS Fluent Learn the basics of the Radial Basis Function (RBF) approach Episode Highlights: From Basics to Advanced Concepts 1. Design Optimization Fundamentals - Comprehensive overview of design optimization principles - Comparison of different optimization methods in CFD software - Insights into when and why to use specific optimization techniques 2. Shape Optimization Process - Detailed explanation of the three-step simulation process: 1. Conventional flow solution 2. Adjoint solution 3. Gradient-based optimization solution - Understanding how each step contributes to achieving optimal designs 3. Adjoint Solver Deep Dive - Introduction to adjoint solver methodology - Exploration of inputs, governing equations, and observable definitions - How adjoint solvers revolutionize the optimization process 4. Mesh Morphing Techniques Unveiled - Comprehensive overview of mesh morphing methods: 1. Direct interpolation 2. Polynomial approaches 3. Radial Basis Function (RBF) method - Pros and cons of each method and their ideal applications Why This Episode Is Crucial Lays the groundwork for advanced optimization techniques Provides a clear roadmap for the entire course Offers insights into industry-standard tools and methodologies Prepares you for practical applications in subsequent episodes Who Should Watch This episode is perfect for: CFD engineers looking to enhance their optimization skills Mechanical and aerospace design engineers Students and researchers in fluid dynamics and related fields Anyone interested in cutting-edge design optimization techniques Take Your First Step Towards CFD Mastery Don’t miss this opportunity to start your journey into advanced design optimization. This introductory episode of “RBF: All Levels” will equip you with the knowledge and insights needed to tackle complex engineering challenges using state-of-the-art CFD techniques. What You'll Gain A solid understanding of RBF Morph and Mesh Morphing concepts Insights into the latest trends in CFD optimization Foundation for mastering ANSYS Fluent’s advanced features Preparation for tackling real-world optimization problems Enroll now and take the first step towards becoming a CFD optimization expert. Whether you’re aiming to optimize aerodynamics, enhance heat transfer, or improve fluid flow systems, this course will provide you with the tools and knowledge to excel in your field. Join us in exploring the cutting-edge of CFD technology and transform your approach to design optimization!

        Lesson 1 16m 28s Free Lesson
    2. Section 2

      RBF Morph in ANSYS Fluent

      1. Master RBF Morph in ANSYS Fluent: Advanced Mesh Morphing Techniques Dive deep into the powerful world of design optimization with our comprehensive episode, “RBF Morph (Mesh Morphing) Concepts in ANSYS Fluent,” part of the acclaimed “RBF: All Levels” course. This essential lesson equips you with the knowledge and skills to leverage ANSYS Fluent’s advanced design optimization tools effectively. Episode Overview: Unlocking ANSYS Fluent's Design Tab In this detailed tutorial, you’ll gain an in-depth understanding of the design tab environment in ANSYS Fluent. We’ll guide you through each crucial step of the design optimization process, ensuring you grasp the rationale behind every option and feature. Key Learning Objectives Navigate the ANSYS Fluent design tab with confidence Understand and apply gradient-based optimization techniques Master various morphing methods for mesh manipulation Implement and analyze adjoint solutions for sensitivity analysis Comprehensive Exploration of Design Optimization Tools 1. Design Tab Fundamentals - Thorough introduction to the design tab interface - Overview of key features and their significance in optimization workflows 2. Gradient-Based Optimization Techniques - Deep dive into gradient-based methods - Understanding observables and operations crucial for effective optimization 3. Advanced Design Tools and Morphing Methods - Exploration of various design tools available in ANSYS Fluent - Detailed look at different morphing methods and their applications 4. Objective Setting and Constraint Management - Techniques for defining and modifying optimization objectives - Strategies for setting and managing design constraints effectively 5. Gradient-Based Optimizer Mastery - In-depth analysis of the gradient-based optimizer - Tips and tricks for optimizing your design process 6. Adjoint Solution Post-Processing - Advanced techniques in sensitivity analysis - Interpreting and applying adjoint solution results for design improvements Why This Episode Is Essential Provides hands-on experience with ANSYS Fluent’s most powerful optimization tools Offers practical insights for real-world design challenges Enhances your ability to create more efficient and effective designs Prepares you for advanced applications in subsequent course episodes Who Should Watch This episode is ideal for: CFD engineers looking to enhance their optimization skills Mechanical and aerospace designers seeking advanced ANSYS Fluent knowledge Researchers exploring cutting-edge design optimization techniques Anyone involved in complex fluid dynamics simulations and design processes Elevate Your Design Optimization Expertise Don’t miss this opportunity to master the intricacies of RBF Morph and Mesh Morphing in ANSYS Fluent. This episode is your gateway to becoming a proficient user of some of the most advanced design optimization tools available in the industry. What You'll Gain Proficiency in navigating and utilizing ANSYS Fluent’s design tab Advanced knowledge of gradient-based optimization techniques Skills to implement and analyze complex mesh morphing strategies Ability to conduct sophisticated sensitivity analyses for design refinement Enroll now to transform your approach to CFD-based design optimization. Whether you’re optimizing aerodynamics, enhancing heat transfer systems, or refining complex fluid flow designs, this course will equip you with the tools and knowledge to excel in your field. Join us in exploring the cutting-edge of CFD technology and take your design optimization skills to the next level!

        Lesson 1 1h 6m 30s
    3. Section 3

      Minimizing Pressure Drop

      1. Master Pressure Drop Minimization: Advanced CFD Optimization with ANSYS Fluent Elevate your Computational Fluid Dynamics (CFD) expertise with our cutting-edge episode, “Minimizing Pressure Drop by Adjoint Solver (RBF), ANSYS Fluent CFD Simulation Training,” a key component of our comprehensive “RBF: All Levels” course. This advanced lesson will equip you with the skills to optimize complex fluid systems using ANSYS Fluent’s powerful Adjoint Solver and Gradient-Based Optimizer. Episode Overview: Revolutionize Pipe Flow Optimization In this detailed tutorial, you’ll dive deep into the intricacies of minimizing pressure drop in a U-shaped pipe bend. Learn how to leverage state-of-the-art numerical simulation techniques to significantly improve fluid system efficiency. We’ll guide you through a sophisticated three-stage optimization process, demonstrating the practical application of the Adjoint Solver and Radial Basis Function (RBF) method in real-world scenarios. Key Learning Objectives Master the three-stage CFD optimization process for complex pipe geometries Apply Adjoint Solver methodology for advanced sensitivity analysis in fluid systems Implement RBF mesh morphing techniques for precise geometry optimization Analyze and interpret complex optimization results for industrial fluid flow applications Comprehensive Exploration of Pressure Drop Optimization 1. Project Setup and Initial Simulation - Detailed walkthrough of U-shaped pipe geometry creation in Design Modeler - Advanced structured meshing techniques in ANSYS Meshing for fluid flow accuracy - Setup and execution of initial flow simulation for baseline performance assessment 2. Advanced Adjoint Solver Application - Definition and significance of pressure drop as a critical optimization target - In-depth explanation of shape sensitivity analysis for complex pipe geometries - Techniques for interpreting sensitivity data to guide design improvements in fluid systems 3. Gradient-Based Optimizer Mastery - Step-by-step guide to configuring the Design Tool tab for pipe flow optimization - Implementation of RBF mesh morphing for precise pipe geometry deformation - Strategies for defining and refining optimization objectives and constraints in fluid dynamics 4. Result Analysis and Interpretation - Advanced techniques for analyzing velocity and pressure contours in pipe bends - Interpretation of shape sensitivity contours for fluid flow performance - Evaluation of design changes and their impact on pressure drop reduction Why This Episode Is Crucial for Fluid Systems Engineers Provides hands-on experience with industry-leading CFD optimization tools Demonstrates practical application of theoretical concepts in pipe flow design Enhances your ability to tackle complex fluid dynamics challenges in industrial settings Prepares you for advanced optimization projects in various engineering fields Who Should Watch This episode is ideal for: Process engineers working on industrial piping systems HVAC engineers optimizing ductwork and fluid distribution CFD specialists seeking to enhance their optimization skills in complex geometries Researchers and students in fluid dynamics and thermal systems Transform Your Approach to Fluid System Optimization Don’t miss this opportunity to revolutionize your fluid system design skills. This episode is your gateway to mastering some of the most advanced and efficient optimization techniques available in the industry. What You'll Gain Proficiency in using Adjoint Solver for pipe flow sensitivity analysis Skills to implement RBF mesh morphing for precise pipe geometry optimization Ability to achieve significant performance improvements (e.g., 38% reduction in pressure drop) Practical knowledge directly applicable to real-world fluid engineering challenges Enroll now to transform your approach to CFD-based fluid system optimization. Whether you’re designing industrial piping networks, optimizing HVAC systems, or refining process equipment, this course will equip you with the tools and knowledge to excel in your field. Join us in exploring the cutting-edge of fluid dynamics CFD technology and take your optimization skills to new levels of efficiency and performance!

        Lesson 1 23m 11s
    4. Section 4

      Minimizing Drag Force

      1. Master Drag Force Minimization with Adjoint Solver (RBF) in ANSYS Fluent Dive into the cutting-edge world of Computational Fluid Dynamics (CFD) optimization with our comprehensive episode, “Minimizing Drag Force by Adjoint Solver (RBF), ANSYS Fluent CFD Simulation Training.” This crucial lesson in our “RBF: All Levels” course will equip you with advanced skills to optimize designs using ANSYS Fluent’s powerful Adjoint Solver and Gradient-Based Optimizer. Episode Overview: Revolutionize Your CFD Optimization Skills In this detailed tutorial, you’ll learn how to minimize drag force on a cylindrical obstacle using state-of-the-art numerical simulation techniques. We’ll guide you through a three-stage optimization process, demonstrating how to leverage the Adjoint Solver and Radial Basis Function (RBF) method for superior results. Key Learning Objectives Master the three-stage CFD optimization process Understand and apply Adjoint Solver methodology for sensitivity analysis Implement RBF mesh morphing techniques for design optimization Analyze and interpret optimization results for real-world applications Comprehensive Exploration of Drag Force Minimization 1. Project Setup and Initial Simulation - Detailed walkthrough of geometry creation in Design Modeler - Structured meshing techniques in ANSYS Meshing - Conventional flow simulation setup and execution 2. Advanced Adjoint Solver Application - Definition and significance of observables in optimization - In-depth explanation of shape sensitivity analysis - Techniques for interpreting sensitivity data for design improvements 3. Gradient-Based Optimizer Mastery - Step-by-step guide to setting up the Design Tool tab - Implementation of RBF mesh morphing for geometry deformation - Strategies for defining optimization objectives and constraints 4. Result Analysis and Interpretation - Techniques for analyzing velocity and pressure contours - Interpretation of shape sensitivity contours - Evaluation of design changes and their impact on drag force Why This Episode Is Crucial Provides hands-on experience with industry-leading CFD optimization tools Demonstrates practical application of theoretical concepts Enhances your ability to tackle complex fluid dynamics challenges Prepares you for advanced optimization projects in various industries Who Should Watch This episode is ideal for: CFD engineers seeking to enhance their optimization skills Aerospace and automotive design engineers Researchers in fluid dynamics and aerodynamics Students and professionals looking to master advanced ANSYS Fluent techniques Transform Your Approach to CFD Optimization Don’t miss this opportunity to revolutionize your CFD optimization skills. This episode is your gateway to mastering some of the most advanced and efficient design optimization techniques available in the industry. What You'll Gain Proficiency in using Adjoint Solver for sensitivity analysis Skills to implement RBF mesh morphing for design optimization Ability to achieve significant performance improvements (e.g., 70% drag reduction) Practical knowledge applicable to real-world engineering challenges Enroll now to transform your approach to CFD-based design optimization. Whether you’re optimizing aerodynamics, enhancing vehicle performance, or refining complex fluid flow systems, this course will equip you with the tools and knowledge to excel in your field. Join us in exploring the cutting-edge of CFD technology and take your optimization skills to the next level!

        Lesson 1 34m 34s
    5. Section 5

      Maximizing Lift to Drag Ratio

      1. Master Airfoil Optimization: Maximize Lift-to-Drag Ratio with ANSYS Fluent Elevate your CFD skills with our cutting-edge episode, “Maximizing Lift to Drag Ratio by Adjoint Solver (RBF), ANSYS Fluent CFD Simulation Tutorial,” part of the comprehensive “RBF: All Levels” course. This advanced lesson will equip you with the expertise to optimize airfoil designs using ANSYS Fluent’s powerful Adjoint Solver and Gradient-Based Optimizer. Episode Overview: Revolutionize Aerodynamic Design Optimization In this detailed tutorial, you’ll dive deep into the world of airfoil performance optimization. Learn how to leverage state-of-the-art numerical simulation techniques to maximize the lift-to-drag ratio, a critical factor in aerodynamic design. We’ll guide you through a sophisticated three-stage optimization process, demonstrating the practical application of the Adjoint Solver and Radial Basis Function (RBF) method. Key Learning Objectives Master the three-stage CFD optimization process for airfoil design Apply Adjoint Solver methodology for advanced sensitivity analysis Implement RBF mesh morphing techniques for precise geometry optimization Analyze and interpret complex optimization results for real-world aerodynamic applications Comprehensive Exploration of Airfoil Performance Optimization 1. Project Setup and Initial Simulation - Detailed walkthrough of airfoil geometry creation in Design Modeler - Advanced unstructured meshing techniques in ANSYS Meshing - Setup and execution of initial flow simulation for baseline performance 2. Advanced Adjoint Solver Application - Definition and significance of lift-to-drag ratio as an optimization target - In-depth explanation of shape sensitivity analysis for airfoils - Techniques for interpreting sensitivity data to guide design improvements 3. Gradient-Based Optimizer Mastery - Step-by-step guide to configuring the Design Tool tab for airfoil optimization - Implementation of RBF mesh morphing for precise airfoil geometry deformation - Strategies for defining and refining optimization objectives and constraints 4. Result Analysis and Interpretation - Advanced techniques for analyzing velocity and pressure contours around airfoils - Interpretation of shape sensitivity contours for aerodynamic performance - Evaluation of design changes and their impact on lift-to-drag ratio Why This Episode Is Crucial for Aerodynamic Engineers Provides hands-on experience with industry-leading CFD optimization tools Demonstrates practical application of theoretical concepts in airfoil design Enhances your ability to tackle complex aerodynamic challenges Prepares you for advanced optimization projects in aerospace and automotive industries Who Should Watch This episode is ideal for: Aerospace engineers focusing on aircraft wing design Automotive aerodynamicists working on vehicle performance CFD specialists seeking to enhance their optimization skills Researchers and students in aerodynamics and fluid dynamics Transform Your Approach to Aerodynamic Optimization Don’t miss this opportunity to revolutionize your aerodynamic design skills. This episode is your gateway to mastering some of the most advanced and efficient optimization techniques available in the aerospace industry. What You'll Gain Proficiency in using Adjoint Solver for airfoil sensitivity analysis Skills to implement RBF mesh morphing for precise airfoil shape optimization Ability to achieve significant performance improvements (e.g., 83% increase in lift-to-drag ratio) Practical knowledge directly applicable to real-world aerodynamic engineering challenges Enroll now to transform your approach to CFD-based aerodynamic optimization. Whether you’re designing aircraft wings, optimizing racing car aerodynamics, or refining wind turbine blades, this course will equip you with the tools and knowledge to excel in your field. Join us in exploring the cutting-edge of aerodynamic CFD technology and take your optimization skills to new heights!

        Lesson 1 28m 5s
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    Shape Optimization with ANSYS Fluent Adjoint Solver & RBF Morph

    Modern engineering design is no longer limited to analyzing existing geometries. Today's engineers are expected to improve performance, reduce energy consumption, minimize pressure losses, increase aerodynamic efficiency, and create optimized products faster than ever before. This is where shape optimization and automated design improvement become essential.

    The Shape Optimization with ANSYS Fluent Adjoint Solver & RBF Morph course is designed for engineers, CFD specialists, researchers, and product designers who want to move beyond simulation and begin using CFD as a true design optimization tool. Through practical engineering projects, you will learn how to identify performance-sensitive regions, automate geometry improvements, and optimize designs using advanced adjoint-based workflows and mesh morphing techniques.

    As part of the advanced engineering training ecosystem developed by MR CFD, this course focuses on simulation-driven design optimization rather than traditional CFD analysis. Together with other specialized CFD Courses, it helps engineers develop skills increasingly demanded in aerospace, automotive, energy, and industrial product development.

    Why Learn Shape Optimization and CFD-Driven Design?

    Traditional engineering design often relies on trial-and-error modifications that require multiple simulations and lengthy development cycles.

    Shape optimization allows engineers to:

    • Reduce aerodynamic drag

    • Increase lift performance

    • Minimize pressure losses

    • Improve thermal performance

    • Enhance fluid flow efficiency

    • Reduce product development costs

    • Accelerate design iterations

    • Improve overall engineering performance

    By integrating optimization directly into the simulation workflow, engineers can achieve better designs with significantly fewer manual iterations.

    Fundamentals of CFD Shape Optimization

    Shape optimization combines simulation, sensitivity analysis, and automated geometry modification to improve engineering performance.

    Design Variables and Optimization Objectives

    Learn how engineers define performance goals and identify measurable optimization targets.

    Examples include:

    • Drag reduction

    • Pressure drop minimization

    • Flow uniformity improvement

    • Lift enhancement

    • Efficiency maximization

    Performance-Driven Engineering Design

    Understand how simulation results are converted into actionable design improvements.

    Optimization Workflows in CFD

    Develop a clear understanding of modern optimization methodologies used in engineering industries.

    Adjoint Solver for Design Sensitivity Analysis

    The Adjoint Solver is one of the most powerful tools available for CFD-based optimization.

    Sensitivity Mapping and Performance Analysis

    Learn how to identify which regions of a geometry have the greatest impact on performance.

    Gradient-Based Optimization

    Understand how adjoint methods efficiently calculate design sensitivities without requiring hundreds of design iterations.

    Engineering Applications

    Adjoint optimization is widely used for:

    • Aerodynamic design

    • Turbomachinery optimization

    • Automotive engineering

    • Aerospace systems

    • Industrial flow equipment

    Mesh Morphing Techniques for Geometry Optimization

    Effective optimization requires controlled geometry modification without rebuilding the mesh from scratch.

    Mesh Morphing Fundamentals

    Learn how mesh morphing enables smooth geometry changes while preserving mesh quality.

    Boundary and Internal Mesh Manipulation

    Understand how both surface and internal mesh regions can be modified during optimization.

    Maintaining Simulation Accuracy

    Explore strategies for preserving solution quality while performing geometry updates.

    Radial Basis Function (RBF) Morphing Methods

    RBF Morph is one of the most widely used techniques for advanced shape optimization.

    RBF-Based Geometry Control

    Learn how Radial Basis Functions create smooth and efficient geometry deformations.

    Design Space Exploration

    Investigate multiple design alternatives while maintaining computational efficiency.

    Optimization Workflow Integration

    Understand how RBF Morph supports automated engineering optimization processes.

    Aerodynamic Shape Optimization Applications

    One of the most common uses of shape optimization is aerodynamic design.

    Cylinder Drag Reduction

    Analyze how geometry modifications influence flow separation and aerodynamic resistance.

    Flow Control Strategies

    Investigate techniques used to improve aerodynamic efficiency.

    Performance Improvement Through Simulation

    Learn how optimization helps engineers achieve measurable aerodynamic gains.

    Airfoil Optimization and Lift-to-Drag Enhancement

    Airfoil design remains one of the most important applications of CFD optimization.

    Lift and Drag Performance Analysis

    Study the relationship between geometry and aerodynamic performance.

    Airfoil Shape Improvement

    Apply optimization methods to improve aerodynamic efficiency.

    Aerospace Engineering Applications

    Understand how modern aircraft design relies heavily on simulation-driven optimization.

    Pressure Drop Reduction in Industrial Flow Systems

    Optimization is equally valuable in internal flow applications.

    Pipeline Flow Optimization

    Learn how geometry modifications can reduce pressure losses and improve flow performance.

    Energy Efficiency Improvement

    Investigate optimization strategies used in process and energy industries.

    Industrial Engineering Applications

    Apply CFD optimization principles to practical fluid transport systems.

    Learning Outcomes

    After completing this course, you will be able to:

    • Understand CFD-based shape optimization principles

    • Perform design sensitivity analysis

    • Use adjoint optimization workflows

    • Apply mesh morphing techniques

    • Implement RBF-based geometry modification

    • Optimize aerodynamic designs

    • Reduce pressure losses in flow systems

    • Interpret optimization results effectively

    • Develop simulation-driven design strategies

    • Apply optimization techniques to real engineering projects

    Technical Skills You Will Develop

    Optimization Skills

    • Shape optimization

    • Design sensitivity analysis

    • Objective function development

    • Performance-driven design

    CFD Engineering Skills

    • Adjoint Solver workflows

    • Optimization setup

    • Result interpretation

    • Design evaluation

    Product Development Skills

    • Aerodynamic optimization

    • Pressure drop reduction

    • Design improvement strategies

    • Engineering decision-making

    Who Should Take This Course?

    CFD Engineers

    Engineers seeking to move beyond simulation and into optimization-driven design.

    Aerospace Engineers

    Professionals focused on aerodynamic performance and flow efficiency.

    Mechanical Engineers

    Engineers involved in product development and performance optimization.

    Product Designers

    Design specialists interested in simulation-based engineering improvements.

    Researchers

    Researchers working on optimization algorithms, advanced simulation workflows, and engineering innovation.

    Why Learn with MR CFD?

    MR CFD focuses on practical engineering applications that solve real-world design challenges. This course teaches optimization workflows used across industry rather than isolated software features.

    Combined with other specialized CFD Courses, it provides a pathway toward advanced engineering analysis, simulation-driven product development, and modern optimization methodologies.

    Transform CFD into a Design Optimization Tool

    Simulation tells you how a design performs. Optimization tells you how to make it better.

    Enroll in the Shape Optimization with ANSYS Fluent Adjoint Solver & RBF Morph course and learn how to automate design improvement, reduce engineering development cycles, and create higher-performing products through advanced CFD-driven optimization techniques.

    <p>Shape optimization is the process of automatically improving geometry performance by modifying design parameters based on simulation results.</p>

    <p>An Adjoint Solver calculates design sensitivities efficiently, helping engineers identify which geometric changes will most improve performance.</p>

    <p>Mesh morphing is a technique that modifies geometry while preserving mesh quality, eliminating the need for complete remeshing during optimization.</p>

    <p>RBF (Radial Basis Function) Morphing is a geometry deformation method used to smoothly modify complex shapes during optimization studies.</p>

    <p>Shape optimization reduces development time, improves product performance, and minimizes costly trial-and-error engineering iterations.</p>

    <p>Aerospace, automotive, energy, turbomachinery, manufacturing, and process engineering industries widely use optimization-driven design methods.</p>

    <p>Basic CFD knowledge is recommended. The course focuses on optimization concepts rather than introductory CFD fundamentals.</p>

    <p>Yes. Several practical examples focus on drag reduction, lift enhancement, and aerodynamic performance improvement.</p>

    <p>Absolutely. Optimization techniques are commonly used to improve flow efficiency and reduce pressure drop in piping and fluid systems.</p>