Ahmed Aboutaleb

🚀 **Unlocking New Horizons with Physics-Informed Neural Networks (PINNs)** ⚙️ Physics-Informed Neural Networks (PINNs) are transforming the landscape of predictive modeling by integrating physical laws directly into neural network architectures. Leveraging a NASA dataset on lithium-ion batteries, researchers have applied a PINN approach. This approach is guided by an equation that describes the change in the State of Health (SOH) of the battery over time across various charging and discharging cycles to accurately model battery behavior. This fusion of physics and machine learning has demonstrated a significant enhancement in prediction accuracy, achieving improvements of around 34%. The success of this method highlights the potential of PINNs to revolutionize various fields by embedding domain-specific knowledge into machine learning models, leading to smarter and more reliable predictions. #MachineLearning #PhysicsInformedNeuralNetworks #PINN #PredictiveModeling #Innovation #Research #DataScience #AI

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Advances in mechanical metamaterials for vibration isolation: "The adverse effect of mechanical vibration is inevitable and can be observed in machine components either on the long- or short-term of machine life-span based on the severity of oscillation. This in turn motivates researchers to find solutions to the vibration and its harmful influences through developing and creating isolation structures. The isolation is of high importance in reducing and controlling the high-amplitude vibration. Over the years, porous materials have been explored for vibration damping and isolation. Due to the closed feature and the non-uniformity in the structure, the porous materials fail to predict the vibration energy absorption and the associated oscillation behavior, as well as other the mechanical properties. However, the advent of additive manufacturing technology opens more avenues for developing structures with a unique combination of open, uniform, and periodically distributed unit cells. These structures are called metamaterials, which are very useful in the real-life applications since they exhibit good competence for attenuating the oscillation waves and controlling the vibration behavior, along with offering good mechanical properties. This study provides a review of the fundamentals of vibration with an emphasis on the isolation structures, like the porous materials (PM) and mechanical metamaterials, specifically periodic cellular structures (PCS) or lattice cellular structure (LCS)..."

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Largest Gear Reduction Machine Features 100 Gears and Takes Eons to Complete One Rotation To celebrate being 1 billion seconds old, Daniel de Bruin built a machine that visualizes the immense scale of a googol. A googol equals 1.0 x 10^100, or 1 followed by 100 zeros. To put that into perspective, scientists estimate there are between 120 and 300 sextillion stars in the observable universe, translating to around 10^78 to 10^82 atoms. De Bruin's gear reduction machine illustrates how it would theoretically take more power to turn the last gear one revolution than the universe could provide. The machine has 100 gears, each pair reducing the rotation by 1 to 10. For the last gear to spin once, the first gear needs to revolve a googol times. As de Bruin explains, "Today at 14:52 I will be exactly 1 billion seconds old. To celebrate, I built this machine that visualizes the number googol. That's a 1 with a hundred zeros—a number bigger than the atoms in the known universe. This machine has a gear reduction of 1 to 10 a hundred times. In order to get the last gear to turn once, you'll need to spin the first one a googol amount around. Or better said, you'll need more energy than the entire known universe has to do that. That boggles my mind." De Bruin was inspired by Arthur Ganson's "Machine with Concrete," a gear reduction machine with twelve pairs of worms and gears, each reducing rotations by 1/50. The input shaft at 200 RPMs results in the final gear, encased in concrete, completing one rotation in over 2 trillion years. De Bruin's machine celebrates a personal milestone and serves as a striking representation of the vastness of large numbers and physical limits #innovation #engineering #design #future #technology #education

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I'm excited to kick off a 30-day journey of Simulink projects with a dynamic simulation of an aircraft's roll, pitch, and yaw movements! This project marks the beginning of a series dedicated to showcasing my skills and passion for aerospace engineering. 🌌✈️ In this simulation, I've meticulously modeled the three primary axes of aircraft motion, demonstrating the complexities and beauty of flight dynamics. Each movement is precisely calculated and animated, providing a comprehensive understanding of how aircraft maneuver in the skies. 🔹 Roll: Watch how the aircraft banks left and right, crucial for turning. 🔹 Pitch: Observe the nose moving up and down, essential for climb and descent. 🔹 Yaw: See the aircraft's nose swivel left and right, maintaining directional control. This is just the start! Over the next 30 days, I will dive into more advanced aerospace simulations and projects, continuously honing my skills and contributing to my expertise in aerospace engineering. Stay tuned for more exciting updates and detailed projects that push the boundaries of aerospace technology! #AerospaceEngineering #Simulink #FlightDynamics #AircraftSimulation #30DayChallenge #RollPitchYaw #AerospaceJourney #EngineeringExcellence

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🌟 I’m excited to present my 3D model – a meticulously designed crank wheel created using CATIA which I made for my Final Year Project titled "From Birds to Bots: Design and Fabrication of Biomimetic Ornithopter". (FYP Partner Moina Ali) This project was a deep dive into the aerodynamics of flapping birds and Insects. For the Flapping Mechanism we selected, to fabricate the ornithopter with "Crank Wheel Mechanism". A crank wheel mechanism, also known as a crank and wheel or crankshaft mechanism, is a fundamental mechanical system used to convert rotational motion into linear motion, or vice versa. It has the following 2 operations: 1. Rotational to Linear Motion: When the wheel (attached to the crankshaft) rotates, the crankshaft also rotates. This rotational motion is transferred to the connecting rod, which moves in a circular path. The other end of the connecting rod is attached to the slider, which moves linearly. 2. Linear to Rotational Motion: Conversely, if the slider is moved linearly (such as by a piston in an engine), this linear motion is transferred through the connecting rod to the crankshaft, causing it to rotate. #MechanicalDesign #3DModeling #CATIA #Engineering #Innovation #CrankWheel #FinalYearProject #DMUKinematics

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knockout ejection simulation with load graph to know how much load can be bearable to ejection pin .

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In this demo, we use an off-road vehicle headlight as an example to run a conjugate heat transfer simulation using the immersed boundary method to show how engineers can optimize the heat sink to ensure highlighting performance and minimize LED temperature. #automotive #simulation #CFD

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🚀 Just wrapped up an intensive LS-DYNA course on Udemy! Through this course, I've delved into the intricacies of Finite Element Analysis, Material Modeling, and Advanced Simulation techniques. Excited to leverage this powerful simulation tool for innovative engineering solutions #LSDYNA #Engineering #Simulation #ContinuousLearning #SkillDevelopment #Udemy

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AI for CFD is here !!! Wondering how much data they used to train this model !!

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Topology -optimized of a TriangularBracket 🔧 Project Overview: I'm thrilled to share a recent project where I utilized topology optimization techniques in ANSYS to design an optimized triangular bracket. The objective was to reduce weight while maintaining structural integrity and performance, essential for various engineering applications. 🎯 Objective: - Reduce Weight: Minimize material usage without compromising the bracket's strength and durability. - Optimize Performance: Ensure the bracket meets all performance requirements under various load conditions. 🛠️ Tools Used: - ANSYS Workbench: For creating the model, applying loads, and running simulations. - ANSYS Mechanical: For structural analysis and optimization processes. 📊Key Steps in the Process: 1. Geometry Creation: Designed the initial triangular bracket model. 2. Material Properties: Defined material properties suitable for structural applications. 3. Boundary Conditions: Applied realistic load conditions and boundary constraints. 4. Topology Optimization: Ran the optimization process to determine the best material layout. 5. Post-Processing: Analyzed the results to validate the optimized design. 🚀 Results: - Achieved a significant weight reduction while maintaining the necessary structural performance. - Optimized design ready for potential applications in various engineering fields. 🔗 Feel free to connect and reach out if you have any questions or if you're interested in discussing more about this. #TopologyOptimization #ANSYS #Engineering #TriangularBracket #StructuralDesign #FiniteElementAnalysis #Innovation #CAD #Simulation

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SEG Software is not just another tool; it's an advanced platform meticulously crafted for the precise and swift production of 3D digital prototypes and workshop drawings. With SEG, we empower engineers and designers to streamline the process of creating pressure vessels, Towers, TEMA Heat exchangers, Storage Tanks with fixed roof, spherical tanks, ducts, equipment piping, and Slug catchers. Here's why SEG stands out: 1. **Accuracy**: With SEG, precision is non-negotiable. Our software ensures that every detail is captured flawlessly, leading to error-free designs and enhanced project efficiency. 2. **Speed**: Time is of the essence, and SEG understands that. By automating repetitive tasks and leveraging advanced algorithms, we enable rapid generation of digital prototypes and workshop drawings, saving you valuable time without compromising quality. 3. **Versatility**: Whether you're working on pressure vessels, heat exchangers, or storage tanks, SEG has got you covered. Our comprehensive platform accommodates a wide range of static equipment, empowering you to tackle diverse projects with ease. 4. **Ease of Use**: We believe in making complex tasks simple. That's why SEG boasts an intuitive interface designed to minimize learning curves and maximize productivity. Whether you're a seasoned professional or a novice, you'll find SEG easy to navigate and master. 5. **Enhanced Collaboration**: Collaboration is key to success in today's interconnected world. With SEG, teams can seamlessly collaborate on projects, share insights, and iterate designs in real-time, fostering greater synergy and driving innovation. It's time to elevate your static equipment modeling and detailing capabilities with SEG. Experience the future of engineering software—experience SEG. https://lnkd.in/dmazx8W8

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A transportation solution for a 16-ton electric motor was created through #SolidWorks modeling. #Slidorks_Solution. #Solidworks_Motion #Autocad_Plant_3D

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Unveiling the Aerodynamic Shift: A Look Back at 2000's Cars and Their Impact on Today's Designs Imagine a time before today's sleek, fuel-efficient vehicles. The 2000's were a turning point in automotive design, with a growing emphasis on aerodynamics. My recent study, conducted using Simcenter Star-CCM+ software in TANSAM Center of Excellence powered by Siemens a government initiative by TIDCO , specifically focused on the lift and drag forces of the cars manufactured during that era. This research is not just about the past; it is about understanding the foundation for the aerodynamic advancements shaping the industry today. Key Findings and Their Lasting Influence: The Streamlining Revolution: The study identified a shift towards car designs with lower drag coefficients. This focus on streamlining, achieved through techniques like tapered rooflines and underbody panels, reduced air resistance, leading to improved fuel efficiency and higher top speeds. These principles continue to be core tenants of modern aerodynamic design. The Balancing Act: Lift vs. Drag: While minimizing drag is crucial, the research also highlighted the importance of managing lift. Excessive lift can compromise handling and stability. The findings from the 2000's cars provide valuable insights into achieving the optimal balance between these two forces, knowledge that informs the development of safe and efficient vehicles today. The automotive industry is constantly evolving. In TANSAM Center of Excellence we are eager to connect with #Industries, #OEM's to delve deeper into the fascinating world of aerodynamics. Let's leverage the knowledge of the past to propel us towards a future of efficient, sustainable, and exhilarating vehicles. #automotive #aerodynamics #SimcenterStarCCM #collaboration #futureofmobility #audi #BMW #MercedesBenz #Engineering

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Power your Aerodynamic simulations with NAVASTO 's Artificial Intelligence technology! Artificial intelligence (AI) has been transforming the field of aerodynamics, bringing a remarkable shift in engineering simulations. Through the utilization of computational advancements that AI has been unlocking, Fluid flow dynamics can be simulated. The final model design and evaluation process can be accelerated by using the right AI models, reducing the calculation time from 12 hours to only 20 milliseconds. With AI algorithms that analyze complex wind tunnel airflow patterns, NAVASTO paves the way for the streamlined engineering design and analysis of systems and materials that minimize drag and maximize energy utilization with thoroughly accelerated AI-assisted engineering. Read full article: https://lnkd.in/gwg283rb #mechanicalengineering #mechanical #automotive #aerospace #cfd

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Engineering life hack: Too chilly in your cube? Turn your tower around so the CPU fan is blowing toward you and fire up a complex FEA model. This might also work for keeping coffee warm, but I’ll have to run the CFD/Thermal Analysis to be sure.

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rigid dynamic analysis of an actuator mechanism

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Just wrapped up a fun project where I used SolidWorks Simulation to do some fatigue and static analysis on a vehicle suspension system. This was purely for practice, but I learned a ton! 🔍 **What I Did:** I picked a vehicle suspension system to see how it holds up under different conditions. Using SolidWorks Simulation, I ran a couple of analyses: 1. **Static Analysis:** Checked how the suspension handles maximum loading conditions. This helped me spot where the stress points are and where things might break. 2. **Fatigue Analysis:** Looked at how the suspension components would perform over time with repeated loading. This gave me an idea of the system's durability and where it might need design tweaks. 📊 **What I Learned:** - **Stress Points:** The static analysis showed me where the most stress happens, which is super useful for making improvements. - **Durability:** The fatigue analysis helped me understand how long the suspension might last under normal use. 💡 **Why It's Cool:** Suspension systems are key for a smooth and safe ride. By simulating different scenarios, we can predict issues and improve designs before they become real problems. It's all about making cars safer and more reliable! Really happy with how this turned out and can't wait to apply these insights to more projects.🚀 #Engineering #MechanicalEngineering #SolidWorks #Simulation #VehicleDynamics #FEA #FatigueAnalysis #StaticAnalysis #LearningByDoing #Innovation

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My last assignment as a PolyU IC employee! My former bosses asked me to design a few "advanced" MatLab sessions, one of which involved simulation via ODEs (ordinary differential equations). I decided to use ballistics as an example. I mean, who wouldn't want to hit a cocky engineering instructor with a supersonic (hypersonic?) projectile from dozens of kilometers away? The simulation animation shown here (Python version) includes the effect of Newtonian air resistance, so the trajectory is not quite parabolic (as you were taught in high school physics). In fact, ballistics with air resistance doesn't have a solution in a closed form, i.e. you can't search for a general formula online. (Take that ChatGPT!!) You need to run the simulation each time you wish to hit a new target, although in practice we usually compile all possible firing solutions into a table. As a bonus, I even threw in the principle of time on target. For the same muzzle velocity, you can (usually) land 2 rounds on the same target simultaneously by timing the 2nd shot and adjusting its firing angle. Two for the price of one! Unfortunately, I was later told that PolyU policy won't allow teaching using applications in warfare. No big deal, I replaced the words artillery, shells, etc. with catapult, pumpkins, etc. based on the Punkin Chunkin competitions in the US. (I'm not kidding!) The problem is I totally forgot to change the parameters to more realistic values. So future PolyU students will learn about catapults launching pumpkins at Mach 3 to a distance of over 20 km. Oops! #python #simulation #ballistics #artillery #artillerysimulation #ballisticssimulation #timeontarget

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