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🎯 Solving Plate with Central Hole Under Tension/Compression in ANSYS Workbench | Avoid Rigid Body Motion Error! 🔧📐
Hey #FEA enthusiasts! 👋
Welcome to another post that will really help beginners in Finite Element Analysis understand an important concept often missed when setting up simulations in ANSYS Workbench. 🚀
Today, we’re discussing a classic case:
🔵 A plate with a central hole, subjected to tensile or compressive loads applied on both ends.
It seems simple, right? But wait till you try solving it in the Static Structural module — you'll run into a nasty error:
⚠️ “Rigid Body Motion Detected”
So what’s going on here, and how do we fix it? Let’s break it down! 🧩👇
📌 Problem Setup:
We’ve modeled a rectangular plate 🟦 with a central circular hole ⭕. Loads are applied symmetrically on both ends, either as pressure or force.
🔍 Image 1: Shows how we split the geometry using planes and applied Shared Topology to ensure continuity of mesh.
❗ The Rigid Body Motion Error Explained:
When you run this simulation without any boundary conditions to restrict vertical edges, ANSYS gives you a warning 🚨:
“Rigid Body Motion” – This means the plate is trying to move infinitely like it's floating in space! 🌌
But why? 🤔
Well, even though the problem is symmetric and theoretically should stay balanced, numerical residuals (tiny unintended forces/imbalances) can arise during the solve phase.
Since Static Structural analysis is not dynamic, it can’t stabilize this motion on its own.
As a result, even a very minor imbalance in a non-loading direction will cause the plate to move endlessly 🚀.
🖼️ Image 2: Clearly shows the error message you’ll get when boundary conditions are missing.
💡 Solution: Add Remote Displacement BCs!
To fix this, we recommend applying Remote Displacement boundary conditions or similar BCs to the four vertical edges of the plate.
🔧 Set them as Deformable (not rigid).
🤝 This lets them absorb minor residuals without over-constraining the structure.
This way, we’re not over-restricting the model, but just preventing it from behaving like it's in zero gravity 😅.
🖼️ Image 3: Demonstrates how Remote Displacements are applied to the vertical edges.
🌪️ Residual Forces: Not a Big Deal!
The force imbalance that causes rigid body motion is usually extremely minor (think micronewtons).
It doesn’t affect your stress or deformation results in any realistic sense — it's just a numerical artifact.
🖼️ Image 4: Visualizes the residuals/imbalances that cause the issue.
📊 Final Result: Stress & Deformation
Once boundary conditions are properly applied, the simulation runs smoothly! ✅
You can now view the true stress distribution 🔵🔴 around the hole and the deformed shape of the plate under load.
🖼️ Image 5: Shows beautiful results — stress contours and the deformed + undeformed geometry overlay.
📽️ Check Out Our Full Video Tutorial on YouTube!
🎬 If you’re a beginner in FEA or ANSYS, this video is a must-watch. We show each step, explain the reasoning, and help you avoid common pitfalls.
👉 Don’t forget to Like 👍, Subscribe 🔔, and Share 🗣️ with your fellow engineers!
❤️ Support us by joining our memberships or giving a one-time tip — it helps us stay motivated and keep making these tutorials for you!
Similar tutorial: https://www.youtube.com/watch?v=pkiAM...
#ANSYS #FEA #FiniteElementAnalysis #EngineeringTips #Simulation #MechanicalEngineering #StressAnalysis #CAE #DesignValidation
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✨ February 28th: The Discovery of DNA's Structure Begins ✨
On February 28, 1953, scientists James Watson and Francis Crick made a breakthrough in understanding the structure of DNA, revealing its iconic double helix form. 🧬✨ This discovery revolutionized biology and medicine, laying the foundation for modern genetics.
Their model showed how DNA stores and transmits genetic information, unlocking secrets of heredity and enabling advancements like genetic engineering, genome sequencing, and personalized medicine. It also inspired countless researchers to explore the mysteries of life at a molecular level.
The story of DNA’s discovery reminds us how curiosity, collaboration, and persistence can unravel the fundamental workings of life itself.
💡 Takeaway: Every major discovery starts with a question. Never stop asking “why” or “how”—your curiosity might change the world.
🎯 Motivation for today: “Understanding life’s building blocks opens the door to infinite possibilities.”
#DNADiscovery
#DoubleHelix
#WatsonAndCrick
#GeneticsRevolution
#HistoryOfScience
#MolecularBiology
#GeneticBreakthrough
#BiologyMatters
#ScienceInnovation
#CuriosityLeadsToDiscovery
#InspirationFromHistory
#UnlockingLife
#GeneticsAndBeyond
#StayCurious
#ThinkBig
#dinfinity
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How can you visualize stress distribution in mechanical components using Python?
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✨ February 27th: A Breakthrough in Medical Imaging ✨
On February 27, 1897, English physicist J.J. Thomson delivered a lecture describing the discovery of X-rays and their potential applications in medicine and science. 🩻✨ This revolutionary discovery, made by Wilhelm Röntgen two years earlier, was rapidly transforming healthcare by enabling doctors to see inside the human body without surgery.
Thomson’s lecture emphasized how X-rays, a completely invisible form of electromagnetic radiation, could capture images of bones and other internal structures. This marked the beginning of modern diagnostic medicine, saving countless lives and revolutionizing how we diagnose and treat illnesses.
The story of X-rays reminds us how science can uncover hidden worlds, turning invisible forces into life-saving tools.
💡 Takeaway: The greatest innovations often start by looking beyond what’s visible. Stay curious, and you may uncover solutions no one else sees.
🎯 Motivation for today: “What’s invisible to the eye may hold the key to changing the world.”
#XRayDiscovery
#WilhelmRöntgen
#JJThomson
#MedicalBreakthrough
#HistoryOfScience
#InnovationInMedicine
#RevolutionaryScience
#LifeSavingTechnology
#InspirationThroughInnovation
#ScienceMatters
#CuriosityLeadsToDiscovery
#DiagnosticImaging
#HealthcareRevolution
#StayCurious
#ThinkBeyondLimits
#dinfinity
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Which Python library can be used for simulating rigid body dynamics?
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What does the Python function scipy.integrate.odeint() do in mechanical system simulations?
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✨ February 26th: The Launch of a Revolutionary Innovation ✨
On February 26, 1909, the world’s first plastic, known as Bakelite, was patented by Belgian chemist Leo Baekeland. 🧪✨ This invention marked the dawn of the Age of Plastics, revolutionizing industries from manufacturing to electronics and beyond.
Bakelite was the first synthetic material made from completely artificial components. Its durability, heat resistance, and versatility made it the go-to material for products like telephones, radios, and electrical insulators. It demonstrated how chemistry could create entirely new materials to solve practical problems.
Baekeland’s innovation reminds us of the power of creativity and science to create materials that shape our everyday lives, even over a century later.
💡 Takeaway: The smallest innovations can build entire industries. Never underestimate the impact of your ideas.
🎯 Motivation for today: “Innovation isn’t just creating something new—it’s creating something that lasts.”
#Bakelite
#LeoBaekeland
#HistoryOfPlastics
#MaterialRevolution
#ScienceInnovation
#ChemistryMatters
#IndustrialBreakthrough
#HistoryOfInnovation
#EverydayScience
#InventorsLegacy
#StayCurious
#ScienceAndInnovation
#CreatingTheFuture
#ThinkBig
#ProgressThroughChemistry
#dinfinity
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In computational fluid dynamics (CFD), which Python library is used for mesh generation and solving flow problems?
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✨ February 25th: The Birth of Quantum Mechanics ✨
On February 25, 1927, German physicist Werner Heisenberg introduced the Heisenberg Uncertainty Principle, a cornerstone of quantum mechanics. 🔬✨ This principle transformed our understanding of the atomic and subatomic world, showing that we can’t simultaneously know both the position and momentum of a particle with absolute precision.
Heisenberg’s work shattered classical notions of certainty and predictability, introducing the concept of probability at the quantum level. This revolutionary idea paved the way for advancements in physics, chemistry, and technology, including semiconductors, lasers, and quantum computing.
The Uncertainty Principle teaches us that even in uncertainty, there is immense potential for discovery and innovation.
💡 Takeaway: Embrace uncertainty—it’s often the birthplace of groundbreaking ideas and opportunities.
🎯 Motivation for today: “In the unknown lies the power to innovate and reshape the future.”
#Heisenberg
#QuantumMechanics
#UncertaintyPrinciple
#PhysicsRevolution
#ScienceHistory
#AtomicWorld
#QuantumInnovation
#HistoryOfDiscovery
#ThinkBigThinkQuantum
#InspirationThroughScience
#PhysicsMatters
#BreakthroughIdeas
#StayCurious
#ScienceForTheFuture
#InnovationThroughUncertainty
#dinfinity
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Computer-aided design and analysis is a crucial aspect of modern engineering, and this channel is dedicated to providing educational content on this topic. This channel covers a range of CAD and CAE tools.
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