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Using CFD to predict flow-generated noise and other aeroacoustic effects
Nov06

Using CFD to predict flow-generated noise and other aeroacoustic effects

Flow-generated noise can have significantly adverse effects on our everyday lives. Product designers and engineers at the world’s most innovative and successful companies have recognised this fact, and are increasingly using CFD to incorporate noise mitigation strategies into their product design process.

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Smart gas appliance manufacturers use rising gas costs to their competitive advantage
Oct29

Smart gas appliance manufacturers use rising gas costs to their competitive advantage

With gas prices predicted to skyrocket in the next few years, an opportunity exists for engineers and designers of gas-fired appliances at smart manufacturers to use CFD to gain an edge in the competitive Australian market.

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Solving Complex Combustion Challenges with CFD
Oct20

Solving Complex Combustion Challenges with CFD

Combustion technology underpins almost every facet of our modern life, from electricity generation to industrial heaters/furnaces through to automotive engines. Increasing social and economic pressure to minimise energy use and reduce pollution is driving the use of CFD to improve the efficiency of combustion processes.

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Formula SAE teams aim for the podium with CFD
Mar08

Formula SAE teams aim for the podium with CFD

Budding F1 car designers & engineers here in Australia may be getting excited in the build-up to the first race of the F1 season with the Australian F1 Grand Prix being held in Melbourne next week (March 14-17), but many of them might also have another important car race in the back of their minds: the 2013 Formula SAE (FSAE) competition, which is the world’s largest student engineering design competition.   Starting in 1979 but really gaining in popularity here during the past 15 years, Formula SAE invites highly-motivated engineering students from leading universities around the world to design, manufacture, test and race their own single-seat racecar. Each car is judged for dynamic performance including acceleration, autocross, endurance, fuel economy as well as other important engineering and business-related metrics such as cost, marketing and design philosophy.   We've previously covered the impact of CFD technology on Formula 1 racecar design, but it is clear that CFD technology provides just as much benefit to the leading Formula SAE teams.  In Australia, LEAP is proud to be closely associated with many of the local Formula SAE teams, including Monash Motorsport and Team Swinburne FSAE.  In particular we'd like to recognise the passion and success of the Monash Motorsport team, who together with Team Leader Scott Wordley have won the past 4 Australasian FSAE titles, and are now ranked 2nd globally (out of 510 graded university teams)!   CFD has formed a pivotal contribution to the design and testing of the aerodynamic package designed for the most recent Monash FSAE car (shown left, image courtesy Monash Motorsport & Mitchell Stafford), which incorporates imposing front and rear wings and a clever floor diffuser.  In any racecar design, competing design goals set the scene for a constant battle to provide maximum downforce for superior braking and cornering performance, without sacrificing raw speed due to increased aerodynamic drag.   Inspired by Formula 1 and refined using CFD, one of the 2013 car's secret weapons is a drag-reduction system (DRS) that automatically changes the angle of attack of the main wings at a certain speed to reduce drag when the car approaches top speed down the straight.   Despite its competitive nature, our observation at LEAP is that Formula SAE is also a remarkably close-knit community as evidenced when Monash Motorsport have generously hosted other teams in their workshop and also given other teams access to their world-leading wind tunnel facilities.  In conjunction with Monash Motorsport, LEAP Australia is preparing to host a special workshop in April covering the use of ANSYS CFD and FEA software for Formula SAE car design.  The 3-day workshop "DESIGN TO WIN" will be held April 2nd-4th at Monash Clayton campus and students from all Formula SAE teams...

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(Part 2) 10 Useful Tips on selecting the most appropriate multiphase flow CFD models
Nov15

(Part 2) 10 Useful Tips on selecting the most appropriate multiphase flow CFD models

As we discussed in our previous post, the first step when  tackling a multiphase CFD problem is to identify the key characteristics of your physical system.  Once you've done this (using our checklist if you are still new to multiphase CFD), you can begin to make informed decisions on what multiphase modelling approaches to use. We've compiled the following guidelines based on the decades of experience that LEAP has developed while helping customers in Australia and New Zealand to solve multiphase CFD problems, particularly companies and researchers in the minerals, process and energy industries:   [1] If your problem involves a distinct free surface between two fluids (typically liquids), then the "Free surface" model in CFX or "Volume of Fluid / VOF" model in Fluent should be selected. Both of these methods allow an interface to be solved in steady-state (if it achieves an equilibrium state) or tracked over time in a transient simulation. [2] If your system involves a dilute system of droplets or particles (maximum volume fractions less that ~5%) and you need to track typical trajectories to follow physical processes (such as drying, evaporation, combustion etc.), then you need to use a Lagrangian approach: this is termed the Discrete Particle Model (DPM) in Fluent & the Particle Transport model in CFX.  Both codes have an extensive range of in-built models related to the particle physics, so we encourage you to review these options in the manual before you start and contact LEAP if you have specific questions. [3] If your Stokes number is small, then the particles will quickly reach equilibrium with the fluid flow and travel at their terminal velocity. In this case, the Mixture model in Fluent or the Algebraic Slip Model (ASM) in CFX are good choices for a balance of accuracy and speed.  The reason that these models greatly reduce computational time is that they only solve a single momentum equation and the other velocities are obtained by calculating the particle slip velocity. [4] If your Stokes number is larger, then an Eulerian model will be needed. An Eulerian multiphase model will solve a separate velocity field for each phase, which is the most general approach and allows complete freedom as to the behaviour of each phase within your domain.   [5] If you have solid particles present, then you will need to understand the maximum packing density for your system (incorporating particle shape and size distribution), and then decide how you are going to enforce it.  If the packing limit of your particles is not likely to be reached (or is unimportant to your simulation), then the Eulerian Granular models can be used which are based on solids pressure models and kinetic...

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