Xu Guoqing

In the field of viscoelastic flow simulation, there are many scenarios where we only take small steps in the rheological parameter space. This is important in, for example, optimization, sensitivity analysis, machine learning (data generation) and my personal favourite: uncertainty quantification. I’m excited to share the latest work by Martien Hulsen and myself, where we introduce a new fully-implicit numerical approach to do exactly that in a stable and efficient way. For details, see the (open access) publication below. https://lnkd.in/e4p8xiri

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#Article 📜 Dynamic Vibration Absorbing Performance of 5-DoF Magnetically Suspended Momentum Wheel Based on Damping Regulation by Biao Xiang and Hu Liu 🔗 https://lnkd.in/g8fN7Shd MDPI; Xidian University; Beihang University #comprehensivedamping #antivibrationperformance #dampingregulation #Abstract The vibration performance is critical to the suspension control and the torque precision of the magnetically suspended momentum flywheel (MSMW). The translational and torsional vibration of the MSMW are investigated in this article, and the damping regulation method is proposed to improve the anti-vibration performance of the MSMW. Firstly, the modellings of the MSMW, including the dynamic models and the displacement coordinate, are developed, and the comprehensive damping characteristics of the MSMW are investigated. Moreover, the transfer functions of the translational and the torsional vibrations are established using the dimensionless model, and the relationship between the dynamic response and the stiffness/damping coefficient is studied. Furthermore, the numerical simulations of the dynamic response of the translational and torsional vibration are conducted. Finally, the experiments are designed to verify the vibration characteristics of the MSMW, and the dynamic displacements are measured to analyze the anti-vibration performance of the proposed damping regulation method. The results indicate that the displacement deflection of the translational vibration is reduced by 68.8%, and the angle deflection of the torsional vibration is mitigated by 71.2% by regulating the damping coefficient.

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🚀 Just Released: Explore the Latest Findings from #CES! Section Category: Engineering Science A Particle Packing Electrode Model for Microstructure Optimization of Lithium-Ion Batteries Yiting Lin, Yunqi Cai, Cheng Lian, Honglai Liu Read now: https://lnkd.in/dv3K5uvW #Performancemodeling #Porouselectrodes #Particlepackingelectrodemodel #Microstructureoptimization #Lithiumionbatteries

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New publication in JMMP MDPI! 🌟 📜 A Machine Learning Approach for Mechanical Component Design Based on Topology Optimization Considering the Restrictions of Additive Manufacturing 🎓 Authors Abid Ullah, Karim Asami, Lukas Holtz, Tim Röver, Kashif Azher, Katharina Bartsch, and Prof. Dr.-Ing. Claus Emmelmann 🏫 Hamburg University of Technology, RMIT University, TECCON Consulting and Engineering GmbH, King Fahd University of Petroleum & Minerals - KFUPM, and Fraunhofer Institute for Additive Production Technology In this work, a machine learning (ML) model that generates a parameterized optimized topology is presented, capable of eliminating the conventional iterative steps of TO, which shortens the development cycle and decreases overall development costs. Read the full article here: 🔗 https://lnkd.in/dAKRcGDf #machinelearning #design #topology #optimization #additivemanufacturing

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0→∞ what is the next big step? This algorithm solves infinite number of problems, that we are facing now in major application fields. I am really waiting to see its usage in almost every branch of science and engineering. Thanks ETH.

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Thanks leveLXData by fka for showcasing our work!

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It is a great pleasure to see the 4R method to be applied for fatigue assessments within numerical frameworks by international scholars. Great work by Stefanos, Jan and others! Please check their recent study. #4Rmethod

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🚀 Just Released: Explore the Latest Findings from #CES! Section Category: Engineering Science Investigation on Thermochemical Heat Charging and Discharging Behavior of Ca(OH)2/CaO in a Fixed Bed Reactor Wei Li, Zhe Ma, Yajun Deng, Min Zeng, Xiaoyuan Wang Read now: https://lnkd.in/dj3FFkNG #Thermochemicalheatstorage #Reactionconversion #Heatandmasstransfer #Sensitivityanalysis

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In this recent paper, Dr. Jay (Wo Jae) Lee and Prof. John Sutherland explore an innovative method for predicting the time to failure (TTF) of rotating machinery through dynamic feature extraction combined with Gaussian process regression. This approach optimizes prognostic accuracy by leveraging historical health indicator values to forecast machinery failures with quantified uncertainty, ensuring more reliable and efficient predictive maintenance strategies in manufacturing plants. The results from several run-to-failure trials demonstrate the method's effectiveness in predicting accurate TTF, making it a valuable asset for industries relying heavily on machinery uptime and maintenance optimization. https://lnkd.in/eRtNGZgh

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😊 My name is Moritz Hollenberg. I am a mathematician working on project A02 "Quantitative real-time 3D electrical impedance tomography of multiphase reactors". 🚀 My focus in the Institute for Mechatronics in Mechanics at the Hamburg University of Technology is on advancing data processing and the reconstruction of process quantities. 💡The vision behind SMART reactors driving a sustainable future sparked my interest in process engineering. I wanted to apply my mathematical skills in a meaningful way, learn engineering, and benefit from interdisciplinary collaborations. 🌍 I want to change the world by substituting fossil resources with renewables using SMART reactors. 🤝 If I were to describe the CRC in three words they would be: 🔹collaborative, 🔹challenging, and 🔹disruptive. #SMARTreactors #TUHH #Technischistdasmöglich #TUHamburg #engineeringtofaceclimatechange #ImpedanceTomography #RealTimeImaging #SignalProcessing

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#Particleworks Meshfree CFD Simulation Software, Try today! - [email protected] #Particleworks works on - #MPS - (Moving Particle Simulation) - #LBM - (Lattice Boltzmann Method) - #MBD - (Multibody Dynamics) - #FVM - (Finite Volume Method) - #DEM - (Discrete Element Method) #CFD #ComputationalFluidDynamics #Simulation #Analysis #Engineering #meshfree #LatticeBoltzmannMethod #DiscreteElementMethod

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🚀 Fresh on the arXiv 🚀 Our latest efforts on implementing the Lattice Boltzmann Method (LBM) on quantum computers. We've developed a quantum algorithm to handle that pesky quadratic nonlinearity in the Lattice Boltzmann collision operator. Our approach decomposes the operator into manageable quantum gates, significantly reducing circuit width and depth. Verified with 1D and 2D flow test cases, this method promises a leap forward in quantum fluid dynamics simulations. #QuantumComputing #FluidDynamics #LatticeBoltzmann #ResearchInnovation

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Periodic-AMI boundary condition by TCAE Introducing the unparalleled features of our latest #TCAE software 🚀 - its capabilities in conducting CFD simulation with special boundary condition, Periodic-AMI, are simply unmatched. Specifically designed for transient simulation of an axial turbine stage with 50 stator blades and 55 rotor blades, our software doesn't just handle no conformal interfaces with ease, it masters them 💪. Our unique Periodic-AMI boundary condition guarantees impeccable accuracy and reliability 🎯. It paints a comprehensive and precise picture of the flow field during transient conditions using just a single blade passage. No need to worry about complex geometries - TCAE has it covered. This tool empowers you to conduct real-world simulations, ensuring your design decisions are data-driven and highly informed. This isn't just software, it's your key to unlocking optimized design potential 🔑. Check out our YouTube video for a closer look at the power of TCAE software in action: https://lnkd.in/gR_e-JTq Join us on the journey to engineering excellence! 🌟 #CFDSimulation #Engineering #TurbineSimulations #TCAE #SoftwareTools

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We are pleased to announce the publication of our latest research in the CIRP Annals (Elsevier). Our study addresses significant challenges in the aerospace industry concerning additively manufactured conduits. These challenges include the lack of standardized procedures for characterizing these components under actual operating conditions and the high process-related roughness impacting fluid dynamics. In our research, we explored the effects of three scanning strategies on the mechanical performance and surface integrity of Inconel 718 thin-walled nozzles. Our findings reveal a remarkable reduction in surface roughness by up to 50%, while maintaining variations in static strength below 1%. These results highlight the necessity of application-specific characterization and demonstrate the potential for additively manufactured nozzles to surpass traditional manufacturing methods in practical scenarios. To delve deeper into our findings and their implications for aerospace technology, you can read the full article here: https://lnkd.in/d2wPYk4X #AdditiveManufacturing #SelectiveLaserMelting #LaserPowderBedFusion #NickelBasedAlloys #SurfaceIntegrity #ThinWalledNozzles

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Could CFD help you achieve EEXI and CII compliance? Computational Fluid Dynamics, CFD can show exactly which energy-saving devices and improvements will work best together to achieve compliance with EEXI and CII regulations. The CFD image shows a non-ideal situation. The red, turbulent area means that the water does not flow smoothly towards the propeller. The water flow needs to be improved. This will increase efficiency and reduce the amount of power needed to move the vessel through the water. One way to achieve this is to install a pre-swirl stator on the vessel’s propeller. It will create an optimal inflow for the propeller by guiding one side of the stern flow in the opposite direction to the propeller rotation – generating a pre-swirl. For example, Wärtsilä’s EnergoFlow solution generates a pre-swirl with its multiple curved fins and a ring attached to the hull to prevent power losses from the propeller’s slipstream. A pre-swirl stator can improve propulsive efficiency by 2–7%. The emission savings help the vessel comply with regulations. With the fuel and emission savings, a stator can pay itself back in just one to two years. 🌊 #CFDmethodology #OptiDesign

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