Bosung Lee’s Post

A vertical drone model which have designed for simulation in workbench for find out efficiency conditions.

⭕ Drone velocity vectors #XFLOW SIMULATION

The advanced TCAE software can accurately simulate the sound produced by drone propellers purely based on aerodynamic principles 🎧. This feature is particularly useful for drone models such as the DJI 9450 and the Phantom 3 drone. The TCAE software uses a combination of Computational Fluid Dynamics (CFD) and Computational Aeroacoustics (CAA) simulations to achieve this. The CFD simulation allows the software to analyze the airflow around the propeller, while the CAA simulation helps in predicting the sound generated by the propeller based on this airflow 💻💨. One of the key elements of this simulation is the pressure distribution with Line Integral Convolution (LIC). LIC is a method used in imaging vector fields, which is crucial in understanding the pressure variations around the propeller. This pressure distribution plays a significant role in the sound produced by the propeller 📊🔊. To get a better understanding of this amazing feature, check out this YouTube video:  https://lnkd.in/eDYyram7 This is a breakthrough in drone technology and a testament to the power of TCAE's advanced simulation capabilities. Get ready to experience the future of drone acoustics with TCAE 🚀🔬. #TCAE #DroneTechnology #CFDSimulation #CAASimulation #LIC #DJI9450 #Phantom3Drone #TechInnovation 

The FPV practice session was great, and I am now able to control the drone in AIR (Acro) mode without any assistive gyro correction for autoleveling. In Acro mode, the drone is leveled only with manual control stick inputs in yaw, pitch, and roll axes. This type of control is harder compared to Angle mode or Horizon mode, where the drone autocorrects its axes to self-level once the control inputs are centered. Here are my control rates in flight controller betaflight (version: 4.5). Actual rates. Pitch -mid-70-high-780-expo-45 Roll -mid-70-high-780-expo-45 Yaw -mid-70-high-650-expo-50 My Proportional Integral Derivative(PID loop)settings for tuning. These settings are set to eliminate prop wash. Master multiplier - 1.5 (motors)Dynamic Idle : 33% of motors RPM. Gyro filtering- 1.1

My drone inspection simulator is live and I would love to hear your feedback! Check it out here: https://lnkd.in/ghPK6NHf. How to Access the Demo: 1. Enter your email. 2. Verify with a quick 2FA code. 3. Take control of the drone and save your shots! How It Works: • Once the 3D environment loads, use the drone controls to adjust the position and rotation. • Capture your ideal viewpoints and add them to the shot list. • Continue until all required shots are covered. • Hit play to visualize the full inspection flight! I’d love to hear your thoughts on: • Is the simulator helpful when creating and understanding shot sheets? • What's the best way to share your shot sheet: PDF, video, link, or something else? Give it a try, and let me know what you think!

In the last few days, my focus has been on detailing the performance of various UAVs. Specifically, the MILKOR 380 was investigated to validate a tool ( entirely coded by myself ) that performs aerodynamics and performance analysis, using #JPADUAV solely as an aircraft geometry generator. The main work is split between MATLAB and three detailed Excel workbooks, which are used to evaluate aerodynamics, performance, weights, and balance. The main workflow is driven by an XML file, where the user can input data such as the mission strategy, mission type (Endurance or Range), the altitude at which the drone will fly, the payload weight, the desired MTOM, and the maximum fuel capacity of the fuel tank. The first results obtained for the investigated aircraft are summarized below. 1. Chosen payload = 210 kg (optimum payload) 2. MTOM (weight at convergence) = 1167 kg 3. Altitude = 20,000 ft 4. Rate of Climb @ sea level = 884 ft/min 5. Max speed @ 20,000 ft = 251 km/h 6. Mission type Endurance = 30 hours Center of Gravity (CG) excursion 1. Fwd Xcg/MAC = 0.347% 2. Aft Xcg/MAC = 0.49% Other tests will be conducted in the coming days. 😀 . #JPADUAV #MATLAB #Aircraft #Drone

Step by step guide on how to run a #cfd #simulation on AirShaper!

🌟 Revolutionizing Drone Aerodynamics with TCAE! 🛸🌬 Ever wondered what makes drones like the DJI Phantom 3 soar so gracefully in the sky? ✨ With TCAE's advanced CFD (Computational Fluid Dynamics) and CAA (Computational Aeroacoustics), we've unraveled the science behind its exceptional flight performance! 🚁🔬 📌 Here’s what we’ve achieved: ✅ Comprehensive 3D Flow Analysis: Visualize how air interacts with the drone’s propellers, body, and other components. ✅ Stability & Control Insights: Understand the aerodynamic forces impacting flight stability. ✅ Innovative Design Potential: Lay the groundwork for smarter, more efficient drone designs. Dive into our case study and free downloads here: 👉 https://lnkd.in/ekzBJEMS 🌐 🎥 Watch the simulation in action: 👉 https://lnkd.in/eE3TTiH4 🔧 Let’s push the boundaries of technology and innovation to take flight dynamics to the next level! 🚀 💡 Interested in drone technology, aerodynamics, or cutting-edge simulations? Let’s discuss how this could shape future designs! Drop your thoughts below! 💬👇 🌍 #DroneAerodynamics #CFDSimulation #CAAAnalysis #TechInnovation #AerospaceEngineering #DJIPhantom3 #FutureOfFlight #ResearchAndDevelopment #SimulationTechnology #ScienceInAction

Continuing with the process to design a part of drone (a propeller, actually) here we can see another method applied, called: Individual Topology Finalization