MingYao Ding

Boats and waves. This is a very easy way to simulate the effect to different waves on the durability of floating structures. https://lnkd.in/gE6x_2VM

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🌐 Engineers, Elevate Your Design Game! 🚀 Join us for an exclusive Ask the Experts: Model-Based Design seminar, where you'll have the unique opportunity to dive deep into the world of model-based design with MathWorks expert. 📅 Date: 18 Jun 2024 ⏰ Time: 8:00 PM - 9:00 PM GMT+2 This one-hour session is your golden ticket to exploring advanced strategies, overcoming common challenges, and unlocking new efficiencies in your engineering projects using MATLAB and Simulink. 🔍 Why Attend?>> Get firsthand insights from MathWorks experts. >> Learn practical tips and innovative approaches to model-based design. >> Engage in live Q&A to get answers to your most pressing questions. 👉 Whether you're looking to refine your skills or curious about the latest trends in engineering design, this seminar is for you. Let's innovate and shape the future of engineering together! 📌 Spaces are limited – make sure to reserve your spot now! #EngineeringExcellence #ModelBasedDesign #MATLAB #Simulink #Innovation #ProfessionalDevelopment #mathworks https://spr.ly/60435Sr57

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🌐 Engineers, Elevate Your Design Game! 🚀 Join us for an exclusive Ask the Experts: Model-Based Design seminar, where you'll have the unique opportunity to dive deep into the world of model-based design with MathWorks expert. 📅 Date: 18 Jun 2024 ⏰ Time: 8:00 PM - 9:00 PM GMT+2 This one-hour session is your golden ticket to exploring advanced strategies, overcoming common challenges, and unlocking new efficiencies in your engineering projects using MATLAB and Simulink. 🔍 Why Attend?>> Get firsthand insights from MathWorks experts. >> Learn practical tips and innovative approaches to model-based design. >> Engage in live Q&A to get answers to your most pressing questions. 👉 Whether you're looking to refine your skills or curious about the latest trends in engineering design, this seminar is for you. Let's innovate and shape the future of engineering together! 📌 Spaces are limited – make sure to reserve your spot now! #EngineeringExcellence #ModelBasedDesign #MATLAB #Simulink #Innovation #ProfessionalDevelopment #mathworks https://spr.ly/60435Sr57

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The best part of working with Ansys is the vast suite to tools to solve different problems. I did a full 2 way FSI of stress on a boat due to waves close to 20 years ago and it was tough! This is the easy button... and the right approach.

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[50 days' free access!] [A paper with Yuan L. and Arjit Seth] Expanding the aerodynamic shape optimization (ASO) formulation to a mission-based one has enabled us to investigate the tradeoff between fuel consumption and trailing-edge noise (TEN), while taking into account the comprehensive flight operational spectrum of the aircraft. TEN---despite not being the most important noise source for aircraft---is a direct consequence of airfoil shapes, which should be considered in ASO. Our work demonstrates the interplay between aerodynamics, aeroacoustics, and flight operational variations, which was made possible by the mission-based platform. The results provide a strong basis and motivation to further enriching the platform with higher-fidelity models and more noise components. https://lnkd.in/ghiGv8Fk

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Altair is doubtlessly one of the most interesting companies in the simulation and analysis (S&A) business. Technologically, because of its broad portfolio covering a multitude of CAE-domains, but also from the angle of technology advancement as a reflection of a strong commercial stand. Founder and CEO James R Scapa has shown an almost insatiable appetite for expansion mirroring a desire for technological renewal and to move his creation to the absolute forefront of S&A and related capabilities in HPC, AI and more. Within the past decade this has resulted in an impressive expansion of the scope of its multi-physics, multi-domain, and data analytics offerings filling in the gaps in its strategic product plans. Analyst CIMdata notes that with these moves Altair has evolved from being a niche provider to a global enterprise-class engineering technology player. “From their roots in structural analysis software such as Hypermesh, Altair now provides software and cloud solutions in the areas of simulation-driven product development, HPC and data intelligence.” Commercially the CAE player is number five globally after leading Ansys, MathWorks, Dassault, and Siemens. Full year revenues 2023 was $ 663 million, representing an 8.2% growth compared to 2022. Generally, automotive is the company’s largest sector, while aerospace & defense, and high-tech are smaller, but are growing faster. This week’s big news in the CAE sub-PLM domain–Altair’s announced acquisition of Research in Flight, the developer of the FlightStream software–has visibly strong connections to this. Research in Flight’s CFD solution (Computational Fluid Dynamics) has a strong position in the aerospace and defense sectors and furthermore a growing presence in the marine, energy, turbomachinery and automotive applications. Altair’s acquisition is an interesting reflection of what looks like Scapa’s primary desire to boost the growth and technological potential in the aerospace and defense (A&D) segment even more. They already have Altair CFD, a solution that offers a set of tools to solve fluid mechanics problems, but with Flightstream in the portfolio Altair can stretch its technological and commercial reach even further. FlightStream is an easy-to-use and powerful flow solver that bridges the gap between high-fidelity CFD simulations and the needs of engineers and designers. Its exceptionally fast computational speed and low hardware load, combined with an optimized user interface and a robust aerodynamic solver, make it an invaluable tool for rapid early-stage design iterations and in-depth aerodynamic studies for A&D applications and beyond. "The integration of FlightStream into our portfolio will enhance our offering with its specialized, modern and efficient approach to meet the increasingly complex customer requirements in these industries, including the urban air mobility and eVTOL sectors," said Scapa. Click on the headline to read the full article on PLM&ERP News.

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New paper published: Benchmarking the Parallel 1D Heat Equation Solver in Chapel, Charm++, C++, HPX, Go, Julia, Python, Rust, Swift, and Java https://lnkd.in/gCVufi_M

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This might very well change the way you design! Get insights into a large design space in minutes as easily as you would using Excel to analyze numbers. #engineering #simulation #design

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Multiphase CFD - a mixture of features! 💦 https://lnkd.in/gHdX_GRY Mixture Multiphase Large Scale Interfaces now uses the S-Gamma population balance model for sub-grid sized droplets. 🥵 and it can run on a laptop! 🤯 pls read the blog! #cfd #simulation #multiphase #turbulence #aerodynamics #cae

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Read how MathWorks and About:Energy develop models for fast-charging batteries, considering factors like temperature, charge level, and voltage. #Automotive #Simscape

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𝗔𝗰𝗰𝘂𝗿𝗮𝘁𝗲 𝗽𝗿𝗲𝗱𝗶𝗰𝘁𝗶𝗼𝗻 𝗼𝗳 𝗵𝗶𝗴𝗵-𝗹𝗶𝗳𝘁 𝗮𝗲𝗿𝗼𝗱𝘆𝗻𝗮𝗺𝗶𝗰𝘀 𝗼𝗻 𝗰𝗼𝗻𝘃𝗲𝗻𝘁𝗶𝗼𝗻𝗮𝗹 𝗮𝗶𝗿𝗰𝗿𝗮𝗳𝘁 Challenges: 👉 strong interplay between turbulent boundary layer flow separation 👉 off-body vortex tubes 👉 complex wake-boundary layer mergers Simulation details: 👉 newly developed compressible Navier–Stokes solver based on octree Cartesian grids, Volcano ScaLES 👉 Wall-Modelled Large Eddy Simulations (WMLES) of the HLPW5 Test Cases 2.2, 2.3, and 2.4. 👉 Simulation performed by Dr. Neil Ashton of AWS on a billion cell mesh. 👉 7 seconds (approx. 70CTUs) of flow on one Amazon EC2 g5.48xlarge (8x Nvidia A10g) node Enjoy! #CFD #Simulation #Technology #CAE #Engineering #HPC #HighPerformance #Computing #Community #sharingIsCaring Source: https://lnkd.in/eRNBBPSM

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New Paper: A novel feature engineering approach for predicting melt pool depth during LPBF by machine learning models Although multiple research studies have been conducted to develop #ML models for predicting the #AM melt pool geometries, the previous works relied on processing a large amount of data from the literature. This is while, small sets of high-fidelity data can be employed to enhance the model output. On the other hand, although data availability can be a great opportunity, data pre-processing and feature selection are of vital importance. Therefore, this work aims to provide accurate ML models by carefully selecting a limited amount of high-fidelity data that represents the three most common compositions used in metal AM research and industrial applications. Politecnico di Torino Isfahan University of Technology Mohammad Hossein Mosallanejad Behzad Niroumand Hassan Gashmard #additivemanufacturing #Machinelearning #Laserpowderbedfusion #modelling #collaboration #porcessoptimization

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Exciting to see Carbon's lattice simulation development highlighted on this recent NVIDIA blog post!

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🚀 Engineers, ready to speed up your simulations? Join our webinar on July 17th to learn how to create AI-based reduced order models using Simulink. Discover how to integrate AI models for system-level simulations and optimize C code for HIL tests. Don't miss out! Register now 🔗 #AI #Engineering #Simulink #Webinar https://spr.ly/6048g5BIE

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Spintronics Breakthrough: Unlocking the Power of Radial Vortices. Researchers have developed a method to create and stabilize complex spin textures, like radial vortices, using superconducting structures and surface defects. This advancement could significantly impact spintronics by allowing the use of various ferromagnetic materials and enhancing data storage and logic operations with lower power consumption - https://lnkd.in/g27niGZ8

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Tomorrow, we'll be happy to introduce a new Axial Fan Acoustic Benchmark. In this project, we deal with the engineering simulation of Computational Aero-Acoustics (CAA), focusing on the Axial Fans. Employing advanced techniques like resolved CFD simulation together with the Acoustic Analogy and Ffowcs Williams-Hawkings, we explore the transient simulation with Finite Volume CFD simulations in a cell-centered framework. The mesh generation utilizes SnappyHexMesh with inflation layers powered by OpenFOAM and within the TCAE environment. Our study employs the k ω SST-DES model. We assess the Sound Pressure Level (SPL), Power Spectral Density (PSD), present Polar plots, and backward sound reconstruction. This comprehensive analysis sheds light on the fascinating world of CAA and its applications in aerodynamics.

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