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Simulation Rising process with rudder steering and propeller rotating


@cfdanalysis.ir


#simcenter #UUV#AUV#diving_submarine #Rising_submarine
Researchers at the University of California, Berkeley, first unveiled Salto’s high-flying capabilities in 2016. Now, they’ve equipped the robot with a slew of new skills, giving it the ability to bounce in place like a pogo stick and jump through obstacle courses like an agility dog. Salto can even take short jaunts around campus, powered by a radio controller.

The researchers hope Salto will propel the development of small, nimble robots that could leap through rubble to aid in search-and-rescue missions.

“Small robots are really great for a lot of things, like running around in places where larger robots or humans can’t fit. For example, in a disaster scenario, where people might be trapped under rubble, robots might be really useful at finding the people in a way that is not dangerous to rescuers and might even be faster than rescuers could have done unaided,” said UC Berkeley robotics graduate student Justin Yim. “We wanted Salto to not only be small, but also able to jump really high and really quickly so that it could navigate these difficult places.”

@cfdanalysis.ir

#simcenter #robotic# jumping_robots#Salto #Rising
Multi-disciplinarity has become a buzzword. How can it be turned into a powerful operative deployment for a product design engineer? Is it possible to deploy a cross-discipline predictive tool for designers, without stacking layers of complexity?

🧠 Deep Learning empowers all engineers in your organization with an AI-based tool that can digest all your engineering data: CAD, Simulation and physical testing. Most importantly, layering of information will create more accuracy without additional efforts for the end users: one predictive tool for Production is delivered to the designers team with the convergence of Learning and Data.

Two game-changing features make data convergence possible:

📊 Transfer Learning allows the recycling of CAD and CAE data over different projects, increasing the predictive power of AI and decreasing the need for new data.
📊 Data Fusion assimilates data from very different sources: simulation, high-fidelity simulation and physical testing.

Physical testing is considered as providing the most reliable data for engineers; however, it is also considered as expensive and is not perfectly integrated with simulations. With an AI-powered tool, even sparse physical data can be leveraged; resulting is high-fidelity predictions.

@cfdanalysis.ir


#engineeringdesign #artificialintelligence #engineeringintelligence #deeplearningai
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Self-Balancing Hexapod Robot. Android-based DIY Spider Robot.


Make Your Pet is using the phone's gravity sensor to keep the body level. Having an easy access to all the phone's sensors is another benefit of using smart phones in hobby robotics.

@cfdanalysis.ir

#simcenter
#robotic# jumping_robots#Salto #Rising
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Structural Analysis Using Digital Augmentation

Bridging the gap between theory and the real world is a big challenge in STEM education because conceptualising phenomena such as forces, electricity and energy is very difficult due to their inherent invisibility.

The augmentation technology makes physical objects come to life with colour, meaning and insight.

@cfdanalysis.ir

#engineering #technology #structuralanalysis #computervision #visualization
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In this simulation, the roughness elements are explicitly resolved from a meshing perspective, but there are other ways of doing this, using surface roughness or even porous media approaches in CFD. I am thinking of spending a bit of time investigating this more thoroughly, and was wondering if anyone out there has some use cases / or even case studies they might be able to share with me?
@cfdanalysis.ir

#riprap #waterinfrastructure #cfd
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The world's first full-scale, electric amphibious seaplane will fly passengers from the Trondheim fjord to Bergen's Flesland Airport within an hour. Innovations like this are made possible thanks to rounds of testing in the towing tank at SINTEF Ocean in Trondheim ✈️🚤

@cfdanalysis.ir

#marine #ship_design #model_Test
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Peeling in electroadhesion soft grippers


Electroadhesion endows robots with super-human abilities: mechanical geckoes that climb vertical walls and soft grippers that grasp the most delicate objects. Based on electrostatics, the adhesion forces are turned on and off by an electrical signal, promising extremely fast operation, from silent fully solid-state devices. Practical applications of electroadhesion have however been limited to date by two main challenges: (1) the adhesion forces can vary over 1000x by simply changing the angle between the electroadhesive tape and the object, (2) release is often slow due to residual adhesion when voltage is removed.


@cfdanalysis.ir

#simcenter
#robotic#
jumping_robots#Salto #Rising
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In this simulation, in which air interference is observed due to the jet hitting the free surface vertically, the interference of air bubbles from the free surface can be observed when the jet hits the free surface, and the entrainment of air bubbles in the fluid with the effect of flow and density difference can be examined.


@cfdanalysis.ir\
#cfd #computationalfluiddynamics #flow3d #simulation #simulationsoftware #simulations #engineering #surfacemodeling #technology #fluiddynamics
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Simulating a Variable Geometry Turbocharger

You can see how the mesh is regenerated at each time step to accommodate the motion of the vanes and the turbine, and how Adaptive Mesh Refinement (AMR) refines the mesh to capture gradients in flow velocity.


@cfdanalysis.ir


#engineeredmind #science #technology #engineering #mechanicalengineering #physics #mathematics #cfd #simulation
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This simulation demonstrates the effect of rotation on a contained fluid, and the clear effect of centrifugal force acting on it. When an object undergoes rotation, the object feels there is a radially outward force, a centrifugal force from its reference frame. This principle is used in Liquid-mirror telescopes. The liquid and its container are rotated at a constant speed around a vertical axis, which causes the surface of the liquid to assume a paraboloidal shape.

@cfdanalysis.ir

#cfd #fluiddynamics #fluid #engineering #simulationsoftware #education
CFDAnalysis.ir
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Windbreak fabric structures are special types of fabric structures that protect the environment from harmful chemical particles, abate wind erosion, and help to maintain valuable sources. In this example, the fabric is made of Porous Woven Polypropylene Fabric (PWPF) which has 40% porosity. These kinds of fabric structures show much more complex behavior rather than conventional fabric structures in wind simulation. Some structural engineering rules, such as load combinations and safety factors, ... need to be redefined regarding new approaches. The structural system consists of porous fabric, 3D truss, cables, pile caps, piles, and special instruments for connecting fabric to cable, ...

@cfdanalysis.ir



#CFD #CAE #FEA #tensilearchitecture#facadeengineering #bulilding #tower #civilengineeringdesign #stadiums#structuralengineering #lightweightstructure
#steelstructure
#civilengineering #city #palace
#facade #spatialstructure #skyscraper
#tensilestructure #cfd
#cfdsimulation #wind
#windsimulation #windengineering
#structuralengineering #tent
#architecturalengineering
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Finite element analysis of UOE manufacturing process of offshore pipes

UOE is a method used for production of longitudinally welded large diameter pipes. The UOE forming consists of [1] crimping, [2] U-press, [3] O-press, and [4] Expansion. The numerical simulation presented here demonstrates the U-press and O-press stages where large residual stresses can be observed.

Initial geometric imperfections of the pipe, as well as residual stresses and material anisotropy of the steel material, induced by the line pipe manufacturing process, constitute major factors for the mechanical behavior of the steel pipe. In the last decade, significant effort has been devoted in modeling the UOE manufacturing process, to predict the material properties of the UOE manufactured pipe and estimate its mechanical strength under external pressure.



@cfdanalysis.ir



#fea #cae #pipeline #pipelineintegrity #offshore #manufacturing #mechanical #pipelines
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You wont catch me hanging out at a #soccer game, nor watching the #worldcup2022 unless some friends are having a gathering. Not really a big fan of FIFA either. But I do love me some #aerodynamics, #cfd, and #datavisualization.

Over the past ten years at my job, I've practiced lots of problems on things that were just fun and interesting to me. Airflow around a spinning soccer ball isnt exactly new science, but its still beautiful.
Before working in this field I routinely heard things like "well the air moves faster on one side than the other" but that didnt really mean much to me until later in my education. I think showing it directly changes a lot!

@cfdanalysis.ir

#Simcenter #Simulation #CFD
#cfd
#water #fluiddynamics #civilengineering #engineering
#simulationsoftware
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Transient flows are always the 'real' problems in engineering. Start-up, shut-down, upsets... how often is every single line on your control screen completely flat? Never. CFD software demolishes the learning curve and slashes solving times. It's uses time-accurate LES turbulence combined with inherently parallelizable lattice-Boltzmann methods to solve 'impossible' problems on desktop GPU's in mere hours.

Watch below as the scalar gradient of methane is tracked in a buffer drum as the pulsating inlet flow pumps through the distributor. Diffusion of three scalars with an unsteady flow field.... Solve time? Six hours on a desktop RTX 3090.


@cfdanalysis.ir


#computationalfluiddynamics #cfd #processengineering #chemicalengineering #flowsimulation #methane
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Just published on the #AIAA Journal a comprehensive article summarizing five years of design and #windtunnel test activities on active #flutter suppression technologies.
@cfdanalysis.ir

#aeroelasticity #Fluid-structure Interaction #FSI #activecontrol #realtime #DAER #AerospacePoliMi #PoliMi #FAA
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In our latest #hydrogen case study learn how our Digital Engineering team developed a Computational Fluid Dynamics (CFD) model to investigate the problems of sloshing within the liquid hydrogen fuel tank of a hydrogen powered aircraft

@cfdanalysis.ir


#digitalengineering #digitalinnovation #modelingandsimulation #thoughtleadership #softwareengineering #hydrogenpower #h2leaders #computationalfluiddynamics #casestudy #clientsuccessstory
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I got a new laptop and decided to see if it can handle the tasks I usually run on a workstation or computer cluster. It worked well. Using the Discrete Element Method (DEM) coupled with CFD in Simenter STAR-CCM+ 2210, I simulated the primary reverse flow cyclone feeding larger size catalyst particles back into a fluidized bed reactor.

@cfdanalysis.ir

#Simcenter #CFD #DEM #particles