Automotive
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Oil distribution calculation in transmission
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Simulation of Oil Separating Behavior for Engine Breather System
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Studies on Particle Method Simulation of Bubble Behavior in Engine Lubricating Oil (First Report)
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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
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Simulation of water splashing
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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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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
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Simulation of oil behavior in a planetary gear systemSimulating 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 bearingSimulating 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
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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. |
Iron/steel & Metals
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Water flow in continuous casting rolls
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Twin-screw injection molding
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Fluid-rigid body coupling for simulating scrap metal flushingSimulating 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
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Shape Optimization of Filter System using Fluid Analysis Based on MPS Particle Method
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Vortex in stirring tank
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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
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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
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Application to rubber kneaderRubber 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
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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 analysisSimulating 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
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Simulating behavior of Sake poured into a glassSimulated 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 liquidSimulation 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. |
Civil engineering
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Concrete flow analysis with aggregates
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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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Debris flow simulation on the debris flow breaker
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Tsunami-induced tetrapot behavior analysis
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Analysis of fire prevention equipment for historical buildingsA 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 CFDWe 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
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Tsunami Simulation for the Nuclear Power PlantSimulating 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. |
