Mechanical Engineering at UT Dallas’ Post

Thanks to a team of University of Michigan College of Engineering researchers, theoretical maximum efficiency for heat batteries may soon be a reality due to new tech called Thermophotovoltaic cells. This tech is paving the way for practical applications on the electrical grid. Learn more at https://myumi.ch/qVR9N

New! Live Webinar: Modeling and Stability Analysis of Inverter-based Resources, 8 May at 10am ET. Free Registration Here👉 https://bit.ly/4aiu5CS ... This one-hour webinar will present a few highlights of a recently published book: L. Fan, Z. Miao, Modeling and Stability Analysis of Inverter-Based Resources, CRC Press 2023. The webinar will be useful for undergraduate and graduate students who aim to learn dynamic modeling of inverter-based resources (IBRs), converter control design, stability analysis, and electromagnetic transient simulation (EMT). #ieeepes #freewebinar #powerengineering #electricalengineering

Sharing our last paper published on JFM, “Comparison between shear-driven and pressure-driven oscillatory flows over ripples”, a collaboration between Mechanical Engineering at UT Dallas and College of Engineering - UPRM, Umberto Ciri and Sylvia Rodriguez-Abudo. We found differences between mean flow pattern and the time-averaged Reynolds stress distribution. This suggests that numerical or experimental shear-driven configurations may capture well the net effects of coastal transport processes (which occur in pressure-driven oscillatory flow), but care should be exercised in interpreting phase-dependent dynamics near the troughs. SERDP is acknowledged for providing support and HPC@UTD and Texas Advanced Computing Center (TACC) for computational time.

PhD student Samuel Furze has just published his first paper in the prestigious journal 'Energy Conversion and Management'. Congratulations, Samuel! 👏 Sam's paper is entitled 'Model based mapping of a novel prototype spark ignition opposed-piston engine'. It is co-authored by Dr Sonia Melendi-Espina and Dr Dianzi Liu, both Associate Professors in the School of Engineering, as well as Productivity East technician Steve Barraclough. Read the paper on ScienceDirect: bit.ly/3UCV6vC #EngineeringResearch #UEAEngineering #EnergyEngineering

📢 Read our paper in the Section "Applied Thermal Engineering" 📚 Thermal Characterization of Phase Change Materials by Differential Scanning Calorimetry: A Review 🔗 https://lnkd.in/gKzFwtnW 👨🔬 by Dr. Hazhir Fatahi et al. 🏫 Université de Sherbrooke #phasechangematerials #differentialscanningcalorimetry

The Hidden Secret Behind Flowing Rivers: A Deep Dive into the Continuity Equation Have you ever pondered the seemingly unending flow of a river? It appears as if a magical wellspring constantly replenishes its waters. But the truth lies not in magic, but in a fundamental principle of physics: the continuity equation. This equation, often the silent hero in fluid dynamics, embodies the law of conservation of mass. It dictates that within a steady flow, the mass entering a region must equal the mass leaving it. Imagine ants marching on a sugar trail; their speed may vary, but the total number entering one segment must match those exiting. Why is this equation so profound? - It empowers engineers: to design efficient pumps, sleek airplanes, and even your trusty coffee machine! ☕️ - It unlocks the mysteries of nature: from the intricate dance of weather patterns and ocean currents to the very blood flow that sustains us. 🫀 - It serves as the bedrock for innovation: paving the way for advancements in microfluidic devices for medical breakthroughs and sustainable energy solutions. The continuity equation, though seemingly abstract, forms the invisible thread connecting the majestic flow of a river to the intricate processes within our bodies. It is a testament to the elegant simplicity of physics, governing the seemingly chaotic world around us. So next time you witness the mesmerizing flow of water, remember the silent power of the continuity equation orchestrating the dance behind the scenes. #ScienceIsBeautiful #ConservationLaws #HiddenTruths #CFD #TurbulenceModeling #Engineering #Simulation #Science #transitionalflow #fluids #neverstopexploring #engineering #steadystate #unsteadystate #linkedinlearning #cfdcommunity #NavierStokes #ScienceInAction #physics #engineering #innovation #linkedinlearning #FluidDynamics #RANS #ComputationalScience #mechanicalengineering #mechanicalengineer #mechanical #fluidmechanics #fluidflow #computationalfluiddynamics

🎉 Get ready to dive into a world of knowledge with our new releases! 📚 Whether you're fascinated by wavelets, mastering Maxima, exploring basic electrical engineering, or more, we’ve got you covered. Perfect for students, educators, and professionals alike. Visit techsarworld.com for more information! #NewRelease #WaveletsTheory #ElectricalEngineering #MaximaSoftware #AnalogSystem #BigDataAnalytics #EngineeringEducation #AcademicBooks #EngineeringBook #ComputerScience #PhysicalScience #Mathematics #Statistics #TechSar

✨ Highly Cited Paper ✨ Fault Detection of Induction Motors with Combined Modeling- and Machine-Learning-Based Framework 🖋️ by Moritz Benninger, Marcus Liebschner and Christian Kreischer 👉 https://brnw.ch/21wNHfb 🏢 Affiliations: ▫️ University of Applied Sciences Aalen ▫️ Helmut-Schmidt-University #inductionmotor #faultdetection #machinelearning #supervisedlearning #circuit #highlycitedpaper #energiesmdpi #openaccess

Dr. Thomas Maani, PhD (LSM Summer 2024 Graduate), Dr. Sidi Deng, Ph.D. (an LSM Alumnus, Class of 2023), and Prof. John Sutherland recently published a paper titled "Disassembly Analysis to Promote Rare Earth Permanent Magnet Recovery From End-of-Life Electric Vehicle Motors" which aims to quantitatively assess the level of difficulty (using time as a metric) involved in the manual disassembly of EoL transmissions, focusing on the traction motor. This study evaluates the manual disassembly of end-of-life EV traction motors to identify design and process improvements. It also explores the feasibility of automating specific disassembly steps based on the manual assessment. Using Monte Carlo simulations, the analysis assesses disassembly times under various uncertain conditions and investigate ways to streamline the disassembly process. #EVs #CircularEconomy #Sustainability #CleanEnergy #Research #REPMs #Remanufacturing #PurdueEEE #LSM https://lnkd.in/g_5_6UmF

🔋 Repost: Which Battery Model is Better? There are several commonly used battery models, including both empirical and physics-based models. A key difference is their computation time! 🚀 Empirical models are more than 500 times faster than physics-based models. But that doesn’t mean they are better, they are used differently during battery development! 🔬 ECM – Equivalent Circuit Model: Mimics battery behavior using electrical components, commonly used for cell selection and pack sizing. 🧪 SPM – Single Particle Model: Simulates ion intercalation in anodes and cathodes, useful for fast charging and studying degradation. 📊 DFN – Doyle-Fuller-Newman Model: Provides detailed electrochemical processes for greater physical insight, employed in advanced battery engineering. 🔒 About:Energy's The Voltt provides these models for a range of commercial batteries, sign up here: https://lnkd.in/eYVpgucJ