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Case Examples

Case examples in different industries


Automotive
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Electric Appliances
& Machinery
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Iron/steel & Metals
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Materials
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Food &
Consumer goods
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Medical &
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Civil engineering
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Energy & Power
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Automotive

Oil distribution calculation in transmission
Courtesy of UNIVANCE CORPORATION

Simulating the behavior of oil that is stirred by the rotation of multiple gears and dispersed in the transmission.
In addition to measuring the amount of oil at the evaluation area, the torque on the shaft caused by the fluid force can also be evaluated.
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Picture

Simulation of Oil Separating Behavior for Engine Breather System
Courtesy of Honda R&D

Makoto HAGA et al. Honda R&D Technical Review Vol.26 No.2​
Simulating the behavior of oil mist separation from the airflow in the breather chamber.
By comparing the results with the experimental visualization, the trends in oil dispersal and separation processes are qualitatively consistent. 
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Picture

Studies on Particle Method Simulation of Bubble Behavior in Engine Lubricating Oil (First Report)
​Courtesy of Honda R&D

Koji Matsui, Koichiro Matsushita et al. JSAE16 Spring season
Simulating the behavior of air bubbles inside an engine lubricant flow.
A correlation between simplified experiments and simulations of the bubbles' movement and dissipation has been verified and a good correlation has been obtained.

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Bubble generation analysis by gear oil stirring

Simulating the behavior of air bubbles which are generated by the rotation of gears and moved with the oil flow.
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Simulation of water ingress into the vehicle running on flooded road 
Particleworks × Recurdyn coupling

By coupling with RecurDyn, the motion of the vehicle's suspension while driving on a flooded road can be also taken into account, which makes the evaluation more realistic.
*This model has been developed by The National Crash Analysis Center (NCAC) of The George
​Washington University under a contract with the FHWA and NHTSA of the US DOT
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Simulation of water splashing
Particleworks × Recurdyn coupling

Simulating the behavior of liquid that is splashed up as the vehicle runs over puddles. 
It allows to evaluate the impact point to the under the car body.
*This model has been developed by The National Crash Analysis Center (NCAC) of The George Washington University under a contract with the FHWA and NHTSA of the US DOT
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Piston oil jet analysis

Above:Post-processing of vector view of the oil flow
Below:CG rendering  based on the simulation result

Simulating the oil jet for cooling the piston head. 
The oil jet impact point and the heat transfer coefficient are used to evaluate the cooling performance of the piston head.

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Picture

Powertrain Oil Sloshing Simulation

In this simulation, we can see how the engine oil behaves with three gears of different sizes and speeds, ranging from a differential gear with a diameter of about 20 cm and a speed of about 300 rpm to a drive gear with a speed of about 1000 rpm.
It is worth noting that you can see how the oil is scraped up by the gears and flows into from the top of the mechanism.
At the same time, you can see that the oil does not flow easily depending on the amount of oil and the location of the parts that block the flow path.

【Analysis conditions】
Region:50cm x 30cm x 40cm
Event time:11 seconds
*Movie speed is about ½
Total number of particles : About 500,000
Above:The liquid is shown as particles view and the flow velocity is shown as contour view 
Below:CG rendering  based on the simulation result

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Fuel tank sloshing

Simulating the fuel behavior in the fuel tank by applying an external force acceleration which is assuming vehicle driving. 

By comparing the fuel behavior with and without the baffle plate, we can evaluate the effect.

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Fuel spill analysis during refueling
​(Gas-liquid two-phase flow analysis)

By coupling the airflow analysis function using the Finite Volume Method (FVM) with liquid analysis using MPS, gas-liquid two-phase flow can be efficiently analyzed. When refueling, the inner air is removed from the tank by the breather tube. In this simulation, we can see that when the refueling flow rate increases, the air couldn't be removed and the fuel flows backwards.
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Simulation of oil behavior in a planetary gear system

Simulating the oil behavior in a planetary gear system with complex rotational motion. 
The oil is stirred up by the rotation of the planetary gears and can be seen spreading throughout the gear equipment. 
It would be possible to evaluate whether a sufficient amount of oil is lubricating the area of interest.
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Simulation of oil lubrication in a ball bearing

Simulating the behavior of oil into a rotating ball bearing. It would be possible to evaluate whether the inside of the bearing is sufficiently lubricated with oil. 
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Electric Appliances & Machinery

Oil injection analysis to the motor

Comparing the oil behavior after impact with the coil end, by changing the oil injection method.

The cooling performance of the motor can be evaluated by outputting the heat transfer coefficient of oil flowing across the coil end surface.

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Oil cooling analysis of oil cooled motors

Simulating the behavior of the motor cooling oil after impact with the coil ends.
It is shown that the oil cools the coil end and the temperature drops.
By using this, efficient oil cooling methods can be investigated.

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Iron/steel & Metals

Water flow in continuous casting rolls
Image courtesy of Nippon Steel & Sumitomo Metal Corporation

Simulating the behavior of the water spray for cooling in the steel continuous casting process.
Cooling spray is placed between the rolls that support the solidified pieces of the cast, and the cooling inhomogeneity depending on the rolls and spray placement is evaluated.

*CG rendering  based on the simulation result
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Twin-screw injection molding
Image courtesy of Japan Steel Works, Ltd

【Analysis conditions】
Material properties : 
   Density:Water>1000kg/m^3
   Kinematic viscosity:5e-2m^2/s
   Surface tension:off
DF moving condition (Screw rotational speed)
   Screw:30rpm
Particle size : 2.5mm
Particle modeling : 
   Total number of particles : About 70000 for max
Simulating the behavior of high-viscosity fluids extruded from the twin-screw and visualizing the mixing state.

It is possible to compare the behavior of different shapes and extrusion conditions.

Below:CG rendering  based on the simulation result
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Fluid-rigid body coupling for simulating scrap metal flushing

Simulating the behavior of metal debris which is modeled with rigid particles and pushed away by a fluid.
*CG rendering  based on the simulation result
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Materials

Picture

Shape Optimization of Filter System using Fluid Analysis Based on MPS Particle Method
Courtesy of ROKA SEIKO CO., Ltd.

The Japan Society of Mechanical Engineers (OPTIS2016)
Particleworks and Optimus an optimization software tool were used to optimize the geometry of a filtration system to maximize the effective filter area. 
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Picture

Vortex in stirring tank
Image courtesy of Mitsubishi Chemical Corporation

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Powder-Liquid Mixing in a Planetary mixer

Simulating the behavior of powder and liquid being mixed by a planetary mixer. By using powders, which have lower specific gravity than liquid particles, we can observe that the powders floating in the liquid are stirred and mixed by the planetary mixer.
A liquid containing powders (powder-liquid mixed phase flow: slurry flow) is used for abrasives, etc. The higher the concentration of powders, the higher the apparent viscosity.
The Discrete Element Method (or Discrete Element Method (DEM)) is a method for simulating the behavior of these powders numerically. It tracks the behavior of powder particles, taking into account collisions between particles or between particles and the wall, and friction during collisions.


​*A separate Granuleworks license is required for the coupling of Particleworks (MPS) and Discrete Element Method.

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High-viscosity mixing with triple impellers

Plastic and rubber materials are used in many industrial products for their excellent molding and processing properties. These materials are highly viscous, and if air is sucked into them during the manufacturing process, it is difficult to release the air, and if they harden in this state, the original properties of the material may be lost.
For this reason, air is removed by agitation, or in other words, defoaming is performed. In this simulation, the stirring of a high-viscosity liquid with three agitating blades that are rotating in opposite directions is evaluated. The particle method is stable for such a high-viscosity flow and requires only a small number of calculations.

*CG rendering  based on the simulation result

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Tank sloshing simulation
(Velocity vectors and a rendered image) 

Simulating the liquid behavior inside the tank when it is shaken.
We can see the complex changes in the free surface are captured and the pressure on the inner wall of the tank can also be determined.

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Ver7.0 new function : Conjugate heat transfer analysis

In a mold cooling analysis, heat transfer between the product and the cooling water (fluid) and the mold (structure) can be simulated. Not only the temperature change of the particles, but also the temperature change of the mold (structure) can be confirmed by the cross-sectional contour view.
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Paddle Kneader: Kneading and Dispersion of Powders and Fluids​
Granuleworks × Particleworks coupling

Here is a process of moisture control of powder using a paddle kneader. High-viscosity liquid is added while the powder is stirred, and it is shown how the liquid is evenly mixed with the powder. Dispersion of the liquid into the powder is a difficult operation, but the result of this simulation also shows that the liquid does not disperse sufficiently, resulting in adhesion of the liquid to the wall.
Above:Evaluating thermal distribution, fluid distribution, mixing index, etc.
Below:CG rendering  based on the simulation result

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Application to rubber kneader

Rubber kneading machines are required to mix rubber materials and compounding/filler agents uniformly in a short time. In this simulation, we visualize the kneading process and evaluate its behavior, by using Particleworks.
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Food & Consumer goods

Coffee cup sloshing

Simulating the behavior of the coffee when the cup is vibrated.
It can be observed that the behavior of the coffee overflows differently depending on the shape of the lid.
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Dishing machine analysis

Simulating how the stains on the dishes are removed when the water stream impacts.
The spray conditions and other factors can be studied.
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Stain removal of tile surfaces with a high-pressure washer

Simulating the removal of dirt from tile surfaces with high-pressure washer.
The jetting conditions and other factors can be studied.

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Paint application

Simulating the paint application sprayed from a nozzle. Depending on the shape of the nozzle, the thickness, width, etc. of the applied paint can be studied.
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Water spray analysis with garden sprinklers

Simulating the behavior of water sprayed through the spray holes of a rotating garden sprinkler.
It is possible to evaluate the watering range and watering rate distribution depending on the shape and rotation speed.
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Temperature change analysis of a coffee cup

Starting from version 7.0, unsteady heat transfer analysis of structures without particle walls has been added, allowing for a stand-alone fluid-structure heat transfer analysis.
The above movie shows the surface rendering view of coffee being poured into a cup, and the below movie simulates the temperature change of the cup as well as the temperature change of the coffee itself when it is poured at about 80°C.
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Temperature change analysis of a coffee cup
Comparing the temperature change depending on the cup material difference

Simulating to compare the temperature change of the cup and the coffee when hot coffee is poured into cups of different materials. It allows us to consider the structure of the cup that prevents heat from escaping.
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Simulating behavior of Sake poured into a glass

Simulated liquid (Sake) poured into a glass. It represents the surface tension, as well as how the liquid overflows into the wooden square box.

Below:CG rendering  based on the simulation result
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Simulation of pouring liquid

Simulation of the behavior when pouring liquid from a bottle.
It can be seen how air enters the bottle at the same time as the liquid flows outward.
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Medical & Pharmaceutical

Coming Soon.....

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Civil engineering

Concrete flow analysis with aggregates
Granuleworks × Particleworks coupling

Mortar + coarse aggregate are modeled by Bingham fluid + powder.
The L-flow value, velocity distribution, viscosity distribution, shear rate distribution, and shear stress distribution can be predicted and evaluated as the flowability of fresh concrete.
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Sediment flow analysis around excavator cutter head

Simulating the progress of the excavator through the soil.
It is possible to evaluate the torque applied to the cutter as it rotates.
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Picture

Debris flow simulation on the debris flow breaker 
by coupled analysis of rigid body and fluid

Disaster risk reduction Planning Workshop, NPO, Tokyo, Japan
Hajime Ikeda, Takanori Ito

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Tsunami-induced tetrapot behavior analysis
Particleworks×RecurDyn coupling

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Analysis of fire prevention equipment for historical buildings

A fire prevention system called a "drencher" extinguishes flying fire debris from nearby wildfires and fires in adjacent buildings, and the flying water droplets prevent the spread of fire in cultural property structures. The spraying water is modeled by Particleworks, and the flying fire debris by Granuleworks.
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Simulation of fire protection equipments for important buildings by particle method CFD

We chose a wooden structure called a Yosemune-zukuri (hipped roof), as the target building for the water gun simulation. Particleworks simulated that the water can reach the top of the roof from the four water discharge guns placed diagonally across the building. This video is a CG rendering of the simulation result.
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Energy & Power

Tsunami Simulation for the Nuclear Power Plant

近年、夏の東京都市部において「都市型集中豪雨」が多発しています。アスファルトが大部分を占める東京では雨水が地下に浸透しないため、都市の処理能力を超えた雨水が河川の氾濫や地下施設への浸水といった形で被害をもたらしています。日本上下水道設計株式会社様とともに都市型集中豪雨時の雨水シミュレーションに取り組みました。
*解析結果に対しレンダリング処理を行っています。
【解析条件】領域:18m x 13m / 時間:30秒 / 総粒子数:80万
▲ページ先頭に戻る

Tsunami Simulation for the Nuclear Power Plant

Simulating a tsunami with a wave height of about 4 meters and a speed of 15 meters per second reaching the front of a nuclear power plant.
The calculations showed that the tsunami was mostly damped by the dune in front of the plant site, which was about 10-15 m high, but some of the tsunami went over the dune and entered the plant site.
In this simulation, the fluid and building were modeled with about 2.4 million particles and 3.9 million particles respectively, and the scale of the actual nuclear power plant was simulated as it is.

【Analysis condirions】
Region:1.0km x 0.6km
Event time : 1 minute
Total number of particles : 630 million

*CG rendering  based on the simulation result
*The subject of this simulation is fictitious and has no relationship to real facilities.

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Flooding analysis to underground facilities

*CG rendering  based on the simulation result
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S-pipe Flow Simulation

Simulating a hairpin-sized rod-like object flowing through an S-pipe with water, with the S-pipe as a polygon wall and the rod-like object as a rigid particle.

【Analysis conditions】
Region:25cm x 25cm
Event time : 1.5 seconds
Total number of particles :  About 200000

*CG rendering  based on the simulation result
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Gas-Liquid Two- Phase Flow Simulation in S-pipe

Simulating the situation in which a liquid with a density of 1,000 [kg/m3] stagnates in an S-pipe, and a gas with a density of 10 [kg/m3] is blown in from the bottom of the pipe. The gas-liquid density ratio in this case is about 100.

【Analysis conditions】
Region : 25cm x 25cm
Event time : 4.0 seconds
Total number of particles:About 25000

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Turbulent flow simulation by Particle-based Method

Turbulence is a flow with vortices that varies irregularly in time and space, which requires a very high spatial resolution (on the order of 9/4th power of Reynolds number for lattice methods) to be solved directly using numerical methods for such turbulent phenomena.

Therefore, a mathematical model with spatial or temporal averaging (turbulence model) is used to solve engineering problems. 

Turbulence analysis in the particle method also uses a turbulent model. This shows the results of simulated turbulence behind a cubic-shaped obstacle. Vortices, etc., generated behind the obstacle can be observed.
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  • Home
  • Home
  • Case Examples
    • Particleworks解析事例
    • Particleworks Case Examples
    • User Interview
    • World-Wide User Case Studies
  • Features
    • What is MPS?
    • Simulation Flow
    • Pre- and Post-Processing
    • Physics
    • Multiphysics Solution
    • GPU High Performance Computing
    • Operation environment
  • Particleworks for Ansys
  • News
  • Seminar, Event
  • Technical
    • 粒子法・MPS法
    • 技術コラム >
      • DX時代の製品開発プロセスとCAEの重要性 >
        • 第1回 序 略歴とコラム紹介
        • 第2回 DXとデジタルエンジニアリング
        • 第3回 製品開発プロセスの目指す姿
        • 第4回 DX時代のCAE
        • 第5回 評価CAEの概要と課題
        • 第6回 評価CAEの課題解決手法
        • 第7回 企画CAEの概要と課題
        • 第8回 企画CAEの運用と応用
        • 第9回 設計CAEの概要と課題
        • 第10回 設計CAEの課題解決の進め方
        • 第11回 開発プロセス運用の仕組み作り
        • 第12回 まとめと変革の時代に求められるエンジニア像
      • 粒子法のいま、そして未来へ >
        • 第1回 粒子法のいま
        • 第2回 SPH法におけるカーネル近似とカーネル関数の条件
        • 第3回 SPH法における空間離散化
      • 粒子法の非圧縮条件とは
      • 粒子法入門 >
        • 第1回 粒子法って何?
        • 第2回 粒子法は、他の方法とどう違うか
        • 第3回 粒子法の大きさと質量について
        • ​第4回 「粒子の動かし方」と「加速度の求め方」について
        • ​第5回 計算時間を短縮する方法について
    • Technical Column >
      • Growing the particle method, and its present state >
        • 1. Present State of the Particle Method
        • 2. Kernel Approximation and Kernel Function Conditions in the SPH Method (Preparation for Spatial Discretization)
      • Incompressibility of the particle method
      • Introduction to the particle method >
        • 1. What is a particle method?
        • 2. In what ways is the particle method different from other methods?
        • 3. Mass and volume of particles
        • 4. How to move particles and how to calculate accelerations of particles
        • 5. How to shorten the simulation time
    • 粒子法用語集
    • Particle Method Glossary
    • 参考文献・ウェブサイト
    • Reference Book/URL
    • 論文・講演
  • Contact
    • 導入の流れとライセンス形態
    • Particleworks / GranuleworksプリインストールGPU搭載ワークステーション
    • 開発元・パートナー
    • Developers, Partners
    • お問い合わせ
    • Contact Us