Online Engineering Simulations

Here is a comprehensive follow-up post building on our previous updates. This time, a 15-minute video is provided, showing the entire workflow to go from nothing to having a HiL-based Driver in the Loop (DiL) setup. This video covers each step in detail, providing a thorough guide for anyone interested in creating their own simulation environment. #Engineering #DrivingSimulator #Tutorial The video is attached to this post for your convenience. You can also download the models and all files used to generate this example from here: https://lnkd.in/eU6bfYpX The fact that these tools are all (apart from Unreal & Google Earth) part of the MathWorks ecosystem meant that this comprehensive simulator could be made in my free time by utilizing the easy workflows and tool integrations between these tools (#MATLAB, #Simulink, #Simscape, RoadRunner, Speedgoat). As always, stay tuned for more updates, and feel free to reach out if you have any questions or feedback! Video Content Breakdown: - 0:00 - Intro - 0:27 - Google Earth: Used to define the inner and outer limits of the circuit. - 1:05 - MATLAB Live Script: Used to obtain elevation data from online sources, export RoadRunner-compatible files, calculate the minimized curvature optimal racing line, make a lap-time estimation, and export the optimal racing line back to Google Earth. - 3:53 - RoadRunner: Import the generated elevation and road files into RoadRunner, add grass and scenery, trees and buildings, and export to Unreal Datasmith. - 5:15 - Unreal: Open in Unreal, add HUD and minimap, any other blueprints needed, and compile to EXE. - 7:29 - Simscape Vehicle Model & Simulink ECU Model & Unreal-Simulink Integration: Quick walkthrough. - 9:08 - MATLAB Live Script: Used to keep track of high scores and changing settings on the car model, as well as what type of simulation (HiL/MiL) and map to run. - 11:14 - Unreal EXE: Example DiL run on Kyalami. - 12:46 - MATLAB Live Script: Post-processing results and performance. - 13:47 - MATLAB & Unreal: Example of changing vehicle size and tire parameters.

AI/ML for Engineers – Learning Pathway, Part 2 (Datasets, Code, Projects & Libraries for CAE & Simulation) If you're a mechanical or aerospace engineer diving into ML, you’ve probably realized this: There's no shortage of ML tutorials but very few tailored to simulation, CFD, or physics-based modeling. This second part of Justin Hodges, PhD's blog fills that gap. In the blog, you will find: ➡️ Which datasets actually matter in CAE applications. ➡️ Beginner-friendly vs. advanced datasets for meaningful projects. Links to real engineering data like: ➡️ AhmedML, WindsorML, DrivaerML (31TB of aero simulation data) ➡️ NASA Turbulence Modeling Challenge Cases (with goals for ML-based prediction) ➡️ Johns Hopkins Turbulence Databases ➡️ Stanford CTR DNS datasets, MegaFlow2D, Vreman Research, and more He also points to coding libraries, open-source projects, and suggestions for portfolio-building Especially helpful if you're not publishing papers or attending conferences. Read the full blog here: https://lnkd.in/ggT72HiC Image Source: A Python learning roadmap suggested by Maksym Kalaidov 🇺🇦 in CAE applications! He is a great expert to follow in the space of ML surrogates for engineering simulation. #mechanical #aerospace #automotive #cfd #machinelearning #datascience #ai #ml

A simple, scientific simulation tool for understanding the dynamic nature of production lines: The knowledge of relationships between cycle time, variation (uncontrollable random variation), WIP, capacity and throughput is quite useful to engineers and managers in manufacturing systems. It helps them understand the dynamic nature of production lines. There are not many opportunities for them to quickly and easily acquire this knowledge. One of the simple, quick and effective ways for engineers and managers to gain this knowledge is Monte Carlo simulation of production lines. However, I would not propose sophisticated simulation software and formal simulation knowledge to run Monte Carlo simulations of production lines. To facilitate production line simulation by engineers and managers for educational purpose, I have been offering free copies of our software tool FlowshopSim while limiting the number of work stations on the line to 8 and number of parallel machines at each station to 3. It enables them to run Monte Carlo simulation of a production line with or without animation. Engineers and managers can understand relationships between cycle time, variation, WIP, capacity and throughput by simulating production lines very easily in FlowshopSim without any simulation knowledge and expertise. FlowshopSim creates various charts including Gantt chart from the trace of simulation. These charts provide a lot of useful information about the dynamic nature of the production line. FlowshopSim can enrich the content of workshops and training programs for manufacturing people. Supporting fast and extensive what-if analysis, it can quickly provide a lot of knowledge about production lines unlike physical simulation (with Lego pieces or paper pieces) which takes a lot of time but provides very little knowledge of a production line. Users can see how products with different cycles times wait and progress on a production line in animation and on Gantt chart. Users can also play a minor variation of Dr. Goldratt's dice game in this tool. Production for any batch size including one-piece flow can be simulated using this tool. They can find out how random variation in cycle times can reduce productivity in one-piece flow. I do not know how many engineers and managers have curiosity about the nature of production lines and a little interest to know it using free, simple, scientific software tools. An older version of FlowshopSim is demonstrated in a brief YouTube video at https://lnkd.in/gzP84UPT. If any engineer/manager has some interest to know relationships between cycle time, variation, WIP, capacity and throughput on production lines by sensible and easy simulation, I can offer free copies of my simple, scientific production line simulator, FlowshopSim. He/she can contact me at prasad@optisol.biz . This offer will last for only 2 weeks from today. #productionline #simulation #simulationsoftware #manufacturing #dicegame