Simulation in CAD Modeling

I’ve created a step-by-step video course on how to model a Formula 1 car in SOLIDWORKS 🏎️👉 https://lnkd.in/eZbDrbEn This steering wheel is just one piece of the much bigger project. Inside the full course, I guide you through: ✅ Building a complete Formula 1 car from scratch in SOLIDWORKS ✅ Running CFD simulations to analyze aerodynamics ✅ Identifying drag problems and design flaws ✅ Making smart design changes that reduce drag and boost downforce by +236% (!) One comment I often hear is: “In real life you don’t have perfect blueprints available.” I actually think differently. In fact, as a Lead Product Designer myself, I always use underlayers when creating new designs. An underlayer doesn’t have to be a perfect technical line drawing — it can also be a picture of a similar product or even a simple hand sketch. The point is: you don’t have to start from a completely blank sheet in SOLIDWORKS. Having a visual reference accelerates creativity and keeps your design process structured. The course isn’t just about modeling a car — it’s about learning how to think and work like a SOLIDWORKS pro. By the end, you’ll have the skills to design, analyze, and optimize complex products that impress clients, employers, and even yourself. Curious to get started? In the free preview, I’ll kick things off by modeling an F1 driver helmet step by step 🏎️👉 https://lnkd.in/eZbDrbEn #SOLIDWORKS #SolidWorksTutorial #SolidWorksDesign #SurfaceModeling #CAD #3DModeling #3DDesign #EngineeringDesign #MechanicalEngineering #ProductDesign #EngineeringEducation #Innovation #CFD #AutomotiveDesign #Formula1 #CADDesigner #DassaultSystems

In CAD, every hinge is perfect. But in reality, nothing ever moves that clean. When I first started designing assemblies, I trusted the geometry with closed eyes. If it rotated in CAD, it would rotate in real life… right? ➥Wrong. That’s where motion simulation in Solid Edge changes the game. Here’s what it shows you before the shop floor does: ➮ Clearances that look fine in 2D — but bind once gravity and real tolerances join the picture ➮ “Ideal” pins or bolts that actually flex, shear, or seize under load ➮ Collisions you’ll never notice in a static model until it’s too late It’s not just about movement. It’s about truth: how parts behave when friction, mass, and gravity step in. CAD doesn’t care if your lever jams or your linkage binds. But the shop floor will. Motion simulation lets you see it and fix it before steel is cut. What’s the biggest surprise you’ve caught in motion simulation before it reached the shop? #engineering #cad #solidworks #solidedge #dfm #designformanufacturability #projektdesign #mechanicalengineering #manufacturing #simulation #stressanalysis

𝗕𝗮𝗹𝗮𝗻𝗰𝗶𝗻𝗴 𝗔𝗰𝗰𝘂𝗿𝗮𝗰𝘆, 𝗦𝗽𝗲𝗲𝗱 & 𝗠𝗲𝗺𝗼𝗿𝘆 𝗶𝗻 𝗙𝗶𝗻𝗶𝘁𝗲 𝗘𝗹𝗲𝗺𝗲𝗻𝘁 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 I’ve just released a 150-page guide that distills 11 critical trade-offs faced by every FEA analyst when transforming CAD into credible results. Download the PDF below and keep it handy for your next simulation. 𝗪𝗵𝗮𝘁’𝘀 𝗶𝗻𝘀𝗶𝗱𝗲 • The “Accuracy-Speed-Memory” triangle: Understand where higher-order elements or sparse iterative solvers fit on the spectrum and how to achieve a balanced solution.   • Mesh and element strategy: Adaptive refinement checklists, aspect-ratio warning signs, and when quadratic is preferable to linear.   • Dimensional reduction for smart modeling: Make informed choices between 1D, 2D, or 3D; decision tables illustrate the cost of neglecting out-of-plane effects.   • Solver showdown: Direct vs. iterative, modal vs. full frequency response, plus a brief “million-DOF” rule of thumb.   • Contact and nonlinearity playbook: Penalty vs. Lagrange, tiers of friction modeling, and tips for convergence.   • Material-model ladder: From Hooke’s law to coupled viscoplastic-damage, with advice on when “simple” is the smarter choice.   • Hardware and workflow acceleration: CPU, GPU, cloud, and automation scripts that transform late-night meshing into coffee-break tasks. Each section concludes with actionable heuristics and, in some cases, flowcharts (e.g., implicit vs explicit time integration), allowing you to justify your design choices during reviews. Simulation success is no longer limited by compute power alone—it depends on engineering judgment, such as knowing where to invest in fidelity and where to conserve cycles. Master these trade-offs, and you’ll deliver results that are both reliable 𝘢𝘯𝘥 timely. So, read the PDF, and let’s talk about which trade-off trips you up the most often. 1. Which of the 11 trade-offs do you struggle with the most in day-to-day projects, and why?  2. What is your bottleneck in transitioning from CAD to Mesh?  3. What rule of thumb assists you in deciding between direct and iterative solvers for large assemblies?  4. How have cloud or GPU resources influenced the way you mesh or model compared to five years ago?     P.S. What trade-off surprised you? 

🚀 Design → Simulation → Iteration One of the biggest lessons from building Mark I and Mark II has been the value of an efficient workflow. When every design tweak can quickly move from CAD into CFD, it becomes much easier to test ideas, spot trends, and make informed decisions about what really works aerodynamically. Below you can find a short video on my current Workflow. This balance between speed and detail is what makes iterative design possible — and what keeps projects like F2026 moving forward. ⚠️ Quick note: this demo run was set up with a coarse mesh and only a few iterations. I didn’t perform mesh checks or convergence studies, so the absolute values aren’t the point here. The goal was simply to demonstrate the process — how a fast workflow lets you explore concepts and see their effects before committing to a full, high-resolution analysis. #CFD #Workflow #Engineering #CAD #OpenFOAM #Simulation #Innovation #DesignEngineering #MotorsportEngineering #AeroDesign #ComputationalFluidDynamics #F2026 #Formula1 #F1