This episode of the “DPM (Discrete Phase Model): BEGINNER Level” course introduces students to environmental particle simulation using ANSYS Fluent. Focusing on snowfall modeling, this tutorial provides a practical, real-world application of the Discrete Phase Model (DPM). In this hands-on session, participants will learn how to set up and simulate snowfall using DPM in ANSYS Fluent. The episode covers: Introduction to snowfall as a particle-fluid interaction problem Basic principles of DPM and its application to snowflake simulation Setting up snowflake particles, including size distribution and physical properties Configuring environmental conditions such as wind and temperature Implementing DPM models and injection methods for snowfall Running the simulation and visualizing snowfall patterns Analyzing results, including snowflake trajectories and accumulation patterns By the end of this episode, beginners will have gained practical experience in using DPM for environmental simulations. They will understand how to model particles with varying sizes and shapes, account for external forces like gravity and wind, and interpret the resulting particle trajectories and distributions. This snowfall simulation serves as an excellent introduction to DPM, providing a visually engaging and intuitive example that bridges theoretical concepts with practical CFD skills. The knowledge gained here will form a solid foundation for more complex particle-fluid interaction problems in future episodes and real-world engineering applications.

This episode of the “DPM (Discrete Phase Model): BEGINNER Level” course focuses on simulating the movement and distribution of dust particles entering a room using ANSYS Fluent. Participants will learn how to apply DPM to model real-world indoor air quality scenarios. In this practical session, students will explore the behavior of dust particles in an enclosed space. The episode covers: Introduction to indoor air quality issues and the importance of dust particle modeling Defining dust particle properties using DPM, including size distribution and material characteristics Setting up particle injection methods to simulate dust entering through windows, doors, or ventilation systems Implementing appropriate boundary conditions for room surfaces and air flow Configuring DPM tracking parameters and turbulence interactions Running the simulation to visualize dust particle trajectories and settling patterns Analyzing results, including particle concentration distributions and deposition locations Discussion on implications for indoor air quality management and cleaning strategies By the end of this episode, beginners will have gained valuable experience in applying DPM to a common environmental engineering problem. They will understand how to model particle transport in enclosed spaces, account for various forces affecting dust movement, and interpret results in the context of indoor air quality assessment. This dust particle simulation demonstrates the versatility of CFD in addressing everyday environmental concerns. It builds upon previous DPM knowledge while introducing concepts relevant to HVAC systems and building design. The skills developed here will be valuable for those interested in indoor air quality, environmental engineering, and provide a foundation for more advanced studies in particle transport and air filtration modeling.

This episode of the “DPM (Discrete Phase Model): BEGINNER Level” course delves into the practical application of DPM for simulating particle separation processes. Focusing on a gravity-based particle trapper, this tutorial demonstrates how to model and analyze particle behavior in industrial separation equipment using ANSYS Fluent. In this hands-on session, participants will learn to simulate a particle trapping scenario where gravity plays a crucial role. The episode covers: Introduction to particle separation processes and their importance in industry Overview of gravity-based particle trapping mechanisms Setting up the DPM model for a simple trapper geometry Defining particle properties and injection methods Configuring gravity and other relevant forces in the simulation Implementing boundary conditions specific to particle trapping Running the simulation and visualizing particle trajectories Analyzing trapping efficiency and particle distribution By the end of this episode, beginners will have gained valuable experience in applying DPM to industrial separation problems. They will understand how to model particle-fluid interactions in the presence of gravity, set up appropriate boundary conditions for trapping, and interpret simulation results to assess separator performance. This particle trapper simulation builds upon the foundational knowledge from previous episodes, introducing more complex particle-fluid interactions and practical industrial applications. The skills developed here will prepare participants for tackling more advanced multiphase flow problems in their engineering careers.

This episode of the “DPM (Discrete Phase Model): BEGINNER Level” course explores the critical application of CFD in public health, focusing on simulating the spread of COVID-19 through talking. Using ANSYS Fluent and DPM, participants will model the dispersion of respiratory droplets in a realistic scenario. In this practical session, students will learn to simulate the emission and transport of potentially virus-laden droplets during speech. The episode covers: Introduction to respiratory droplet transmission and its relevance to COVID-19 Defining droplet properties (size distribution, composition) using DPM Configuring the injection method to simulate talking Implementing appropriate boundary conditions and ambient air properties Running the simulation to visualize droplet dispersion patterns Analyzing results, including droplet trajectories, settling distances, and suspension times Discussion on the implications for social distancing and mask-wearing By the end of this episode, beginners will have gained valuable experience in applying DPM to a pressing real-world problem. They will understand how to model complex particle emissions, account for various forces affecting droplet movement, and interpret results in the context of infection risk assessment. This COVID-19 spread simulation demonstrates the power of CFD in addressing public health challenges. It builds upon previous DPM knowledge while introducing participants to biomedical applications of fluid dynamics. The skills developed here will be valuable for those interested in health-related engineering and provide a foundation for more advanced studies in airborne disease transmission modeling.

This episode of the “DPM (Discrete Phase Model): BEGINNER Level” course explores the effectiveness of face shields in preventing the spread of COVID-19. Using ANSYS Fluent and DPM, participants will simulate and analyze how face shields interact with respiratory droplets. In this practical session, students will learn to model the behavior of potentially virus-laden droplets when encountering a face shield. The episode covers: Introduction to personal protective equipment (PPE) and the role of face shields Defining respiratory droplet properties using DPM, including size distribution and composition Configuring injection methods to simulate coughing or sneezing Implementing boundary conditions for the face shield and surrounding air Running the simulation to visualize droplet trajectories and shield interactions Analyzing results, including droplet deflection, capture, and bypass patterns Comparing the effectiveness of face shields to other forms of PPE Discussion on the implications for public health guidelines and shield design By the end of this episode, beginners will have gained valuable experience in applying DPM to evaluate PPE effectiveness. They will understand how to model particle-surface interactions, interpret complex flow patterns around obstacles, and assess the performance of protective equipment. This face shield simulation demonstrates the application of CFD in designing and evaluating safety equipment. It builds upon previous DPM knowledge while introducing concepts relevant to occupational safety and public health. The skills developed here will be valuable for those interested in PPE design, industrial hygiene, and infection control, providing a foundation for more advanced studies in protective equipment modeling.

This episode of the “DPM (Discrete Phase Model): BEGINNER Level” course focuses on simulating the delivery of medication from an asthma spray inhaler into the lung using ANSYS Fluent. Participants will learn how to apply DPM to model this critical biomedical application using a pre-existing lung geometry. In this practical session, students will explore the complex process of inhaler medication delivery. The episode covers: Introduction to asthma inhalers and the importance of efficient drug delivery Overview of the provided lung geometry and its key features Defining medication droplet properties using DPM, including size distribution and drug composition Setting up the injection method to simulate the spray from an inhaler device Implementing appropriate boundary conditions for the pre-existing lung model Configuring DPM tracking parameters to account for droplet evaporation and drug deposition Implementing user-defined functions (UDFs) to model breath-actuated inhalation Running the simulation to visualize medication trajectories and deposition patterns Analyzing results, including drug delivery efficiency and localized deposition in different lung regions Discussion on implications for inhaler design and patient usage techniques By the end of this episode, beginners will have gained valuable experience in applying DPM to a critical biomedical engineering problem using a realistic lung model. They will understand how to model spray dynamics, account for physiological factors affecting drug delivery, and interpret results in the context of treatment efficacy. This inhaler simulation demonstrates the power of CFD in improving medical devices and treatment methods. It builds upon previous DPM knowledge while introducing concepts relevant to biomedical engineering and pharmacology. The skills developed here will be valuable for those interested in drug delivery systems, respiratory medicine, and provide a foundation for more advanced studies in biomedical fluid dynamics and targeted drug delivery modeling.

This episode of the “DPM (Discrete Phase Model): BEGINNER Level” course focuses on simulating the process of color spraying on a wall using a conical injection pattern in ANSYS Fluent. Participants will learn how to apply DPM to model this common industrial and artistic application. In this practical session, students will explore the dynamics of spray painting. The episode covers: Introduction to spray painting processes and the importance of accurate modeling Overview of the pre-defined simulation setup, including the wall geometry and spray nozzle location Defining paint droplet properties using DPM, including size distribution, density, and viscosity Setting up the conical injection method to simulate a realistic spray pattern Implementing appropriate boundary conditions for the wall surface and surrounding air Configuring DPM tracking parameters to account for droplet spreading and paint adhesion Running the simulation to visualize paint droplet trajectories and coverage patterns Analyzing results, including paint distribution, thickness, and overspray Discussion on the implications for spray efficiency, paint waste reduction, and finish quality By the end of this episode, beginners will have gained valuable experience in applying DPM to a practical industrial process. They will understand how to model spray dynamics, account for factors affecting paint deposition, and interpret results in the context of coating quality and efficiency. This color spraying simulation demonstrates the versatility of CFD in optimizing common manufacturing and finishing processes. It builds upon previous DPM knowledge while introducing concepts relevant to surface coating technologies. The skills developed here will be valuable for those interested in industrial painting, automotive finishing, and provide a foundation for more advanced studies in multi-phase flow and particle deposition modeling.