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midas NFX offers multi-disciplinary analysis features, which cover structural analysis, CFD analysis and topology optimization.

For structural analysis, midas NFX provides total solutions to general analysis types such as linear, modal and heat transfer analysis, as well as advanced analysis features such as contact, nonlinear and explicit dynamic analysis.

CFD analysis allows comprehensive and accurate simulations of heat transfer and fluid flows, associated with the specialized functions such as moving mesh and free surface. Structural analysis can also be coupled with CFD simulations

There are various static loads that can be used in Midas NFX.

The magnitude of these loads can also vary in space. This can be done by assigning a spatial function for the load.

The linear solver of midas NFX provides a host of different outputs and the following result types can be viewed and investigated in midas NFX:

Displacements (axial and rotational), Grid Forces, Reactions, Bar Element Forces, Bar Element Stresses, Bar Element Strains, Shell Element Forces, Shell Element Stresses, Shell Element Strains, Solid Stresses, Solid Strains, Strain Energy

The enhanced computational algorithms used by midas NFX empowers the solver with the ability to solve complex problems in less time.

Other options such as multi-core parallel processing and GPU based acceleration boost the solution speed even further.

Nonlinear Analysis in Midas NFX addresses three different types of nonlinearities:

Midas NFX has an offering of two types of nonlinear contacts:

There is another case where the elements of the same mesh set come into contact with each other. Such phenomenon is known as self-contact, and is used in various applications.

In nonlinear static analysis, the iteration begins at the condition when no load is applied. Subsequently, load is gradually increased by equal intervals and stiffness is re-calculated at those intervals. This occurs for multiple iterations until the solver reaches the iteration at which the incremental load equals the input load.

Following load parameters can be assigned in Nonlinear Analysis:

Linear Buckling Analysis in Midas NFX uses the Lanczos algorithm to generate buckling shapes in structures. The analysis effectively consists of two subcases:

The results from the static analysis and eigenvalue analysis together give the resultant buckling shapes of the structure.

Buckling analysis is used to predict failure in long, slender structures. It is common to analyze buckling behaviour in large steel structures that are commonly used in marine & offshore, mining and construction industries.

The images to the right show the model of a steel tank, and its buckling shapes at different frequencies. The graph provides the value of frequency at each mode of vibration. Eigenvalue analysis calculates all the modal frequencies of the structure.

Buckling failure in structures occurs due to the geometric shape of the structure. Typically, this failure occurs at a stress value lower than that predicted using static analysis.

Midas NFX uses the Lanczos algorithm to generate buckling shapes at different natural frequencies of the structure.

The process of moving heat from a location where much heat exists to another location is called Heat Transfer. In physics, it is taught this is mainly accomplished one of three ways: conduction, convection or radiation.

midas NFX makes sure you are able to study these mechanisms of heat transfer on objects that are caused by thermal loads. Such loads include the following:

Thermal simulations play an important role in the design of many engineering applications, including:

A thermal analysis calculates the temperature distribution and related thermal quantities in a system or component. Typical thermal quantities of interest are:

In many thermal problems the heat can have a direct impact on mechanical structures by creating distortion, which then causes additional stress.

In each of these cases, it's critical for you to understand how the temperature changes can influence the performance of your product.

midas NFX allows you to understand the consequences of your product's thermal behavior on its structural performance. Thanks to modern and user friendly CAE environment, you are able to perform both thermal and structural analyses simultaneously, saving you time and generating accurate results.

Topology Optimization is a type of optimization which optimize the mesh density in order to fulfill given design criteria and design constraints.

The maximum displacement or maximum stress can be set and the optimization process will then produce the best design which uses less material but reaches design goals at the same time.

Topology Optimization provides a real help to the designers which can rely on optimized shapes to improve the ratio quality/cost of their design.

Desired material density can be selected to obtain the volume reduction wanted and then the optimized shape can be generated.

The optimized shape can be exported and re-meshed automatically along with associated loads and constraints, to work further on it directly in midas NFX and perform other types of analysis on the optimized shape.

The optimized shape can also be exported in an *.STL format in order to work on it in an external CAD or graphical software.

Topology optimization is especially useful in the consumer goods industry to optimize overall shape and get new insights about new innovative and original designs.

Midas NFX Topology optimization have been used in the example on the right to save a lot of material and get a better design at the same time. It is also a way to obtain interesting design alternatives.

Size optimization is a different type of optimization which relies on the optimization of material or mesh parameters to improve, maximize or minimize, specified design criteria like stresses or displacements.

For example, the thickness of plate elements can be automatically optimized to minimize the displacement in certain areas of the model through local sensors.

Design sampling is created automatically according to several methods (Latin hypercube design, Taguchi orthogonal array, full factorial design, central composite, parametric study) and results are auto correlated together to generate optimized parameter combinations

Demonstration of Size optimization in midas NFX

In complex analysis cases, it is difficult to determine the best thickness of plate elements or needed material data by experience.

Size optimization is useful to solve this problem efficiently by providing the best size in function of the defined design criteria (stress for example).

Autocorrelation of optimized parameters also provide the parameters that have the most influence on the actual design.

Size Optimization has been used to determine the appropriate size of 2D plate mesh elements of an airplane's wing according to linear static and modal analysis.

Various methods (FFD, CCD, OA, LHD) & 1D parameter study correlation between design variable & response analysis makes size optimization an efficient tool for such concrete problem.

Size optimization models according to Kriging model, Polynomial Regression model have been used and midas NFX provides powerful 2D/3D Graphic tools for approximate model analysis.

Most failures of electric products occur because of heat and stress generated from electricity. When electric current passes through a semi-conductor, heat energy is generated and temperatures at certain spots become too high. Without being discovered and dealt with at the design stage, this problem will lead to costly redesign or even product failure.

Joule heating calculates heat energy generated during the passage of electric current through a conductor. It helps designers to spot the overheated areas and make proper improvements to their designs.

Watch this video to see how Joule Heating works in midas NFX

Seokgeun Yi, lead solver developer for Joule heating function, explained the project which took the team 6 months. The team is currently working on implementing other thermos-electrical phenomena such as Seebeck Effect, the Peltier Effect and the Thomson Effect. Users' needs and feedback are the motivations of the team's hard work.

This type of analysis enables you to simulate systems that consists of flexible and rigid bodies. Parts are connected to each other by joints that restrict their relative motion. The study of Multi Body Systems allows you to perform both forward and inverse dynamic problems.

Dynamic simulation of multibody systems play an important role in a wide range of fields like robotics, digital prototyping,etc

You can assign a entity in the system as rigid or flexible in midas NFX. Both rigid bodies and flexible bodies are movalbe parts. They both have mass and inertia properties.

The difference is that a rigid body is presented by solid geomertry, and it cannot deform. While a flexible body is respresented by meshes; it can deform and flexible bodies can be in contact with each other.

Joint connect two rigid bodies and constrain the relative motion between them. Depending on the allowable Relative DOFs, NFX provides 9 types of joints, they are: joint, spherical, cylindrical, slot, revolute, planar, translational, universal, general.

In midas NFX, you can assign the following load types for Multi-body Analysis:

The following video shows how Multi-body Analysis works in midas NFX.

The simulation of the internal flow of a product is useful to determine some critical design issues that cannot be found without using CFD simulation.

Understanding the flow characteristics like velocity inside a product, helps to target the specific zones where velocity is higher in order to prevent further failure due to corrosion. Moreover, the areas where velocity is too small, can create some stagnant fluid areas and cause the deposit of unwanted particles inside the product.

Midas NFX CFD provides all types of results required to assess the behavior of a fluid inside a product: Velocity, pressure, pressure gradient, density, viscosity, kinetic energy, wall shear stress, vorticity for turbulence.

The interface of midas NFX CFD is the same than NFX structural, which makes it possible to couple the CFD results with structural analysis and obtain precious information about your product structural behavior (Fluid structure interaction).

External flow simulation around a product is important to understand its aerodynamic characteristics and the pressure distribution induced by the fluid on it.

Costly wind tunnel experiments can be reproduced very simply using midas NFX CFD to be sure about the performance of your product.

13 turbulence models are provided to study in details turbulence phenomena.

EMidas NFX CFD provides all types of results required to assess the behavior of a fluid outside a product: Velocity, pressure, pressure gradient, density, viscosity, kinetic energy, wall shear stress, vorticity for turbulence.

13 turbulence models are available: Mixing length model, 1-equation K model, 1-Equation k (Two layer) Model, 1-Equation Spalart Allmaras, 2 equations k-¦Å model, (simple, 2 layesr, launder Sharma) , 2-Equations k-¦Ø (Simple, SST), 2 equations k-kt model, Smagorinsky LES, Implicit LES and detached Implicit model.

The interface of midas NFX CFD is the same as NFX structural, which makes it possible to couple the CFD results with structural analysis and obtain precious information about your products structural behavior (Fluid structure interaction).p>

Many industrial equipment and processes involve fluid and particles in one system, where engineers want to understand the interaction between particles and the fluid. Typical applications include filtration, solid-liquid mixing, spray coating, etc.

With particle analysis you can analyze the movements of particles inside the fluid and their interactions with the fluid.

Following video shows how particle analysis works in midas NFX

Noh-Hoon Lee, specialist and lead developer of particle analysis solver, explained his future plan in the interview. The next step is to implement "Discrete Element Method" to consider interactions between the particles.

He also wants to couple it with other analyses, such as chemical reactions and species advections. So it will be possible to consider particles as elementary chemical elements and calculate the reactions between them.

Forced convection is created when the movement of heat in the liquid is induced by a fan, a wind or a coolant.

CFD analysis is required to study it because the movement of heat is non uniform and related to the movement of the fluid.

Forced cooling can be analyzed with midas NFX CFD in steady state or transient CFD analysis, and solid parts can be considered in conjunction to fluid to assess accurately, the cooling rate and temperatures inside the model.

midas NFX CFD has been used in the design phase of the ICSS Server Box on the right to evaluate the heat dissipation through the fans.

Velocity inlet condition, pressure outlet condition and no slip wall condition have been used as boundary conditions along with a k-epsilon turbulence model to determine the flow characteristics in the ICSS Server Box .

CFD results permitted to assess that performance improvement was possible with a simple design change.

midas NFX CFD provides direct input from the fan curves provided by fan manufacturers along with mass flow inlets to analyze more conveniently, the forced cooling in electronic PC Board models.

The direct input of the fan curve simplifies the analysis process and decreases the complexity of the model for designers.

External flow simulation around a product is important to understand its aerodynamic characteristics and the pressure distribution induced by the fluid on it.

Costly wind tunnel experiments can be reproduced very simply using midas NFX CFD to be sure about the performance of your product.

13 turbulence models are provided to study in details turbulence phenomena.

midas NFX CFD has been used in the design phase of the Electronic Board box on the right to evaluate the heat dissipation through natural convection and the flow conditions around the box itself.

Velocity inlet condition, pressure outlet condition and no slip wall condition have been used as boundary conditions along with a k-epsilon turbulence model to determine the flow characteristics in the Electronic Board box.

CFD results permitted to assess the flow conditions caused by heat transfer and to improve it in consequence.

Natural Convection provides the results necessary for the thermal design of products under normal product life circumstances.

The velocity and distribution of the air flow around the model, caused by heat generation, can be obtained in order to be able to improve the efficiency of the heat dissipation, for example (LED, electronic products, heat sync,...).

Thermal distribution can be obtained in a Steady and Transient State as well for the purpose of analysis.

In many cases, engineers need to use fluid analysis and structural analysis together - calculate the thermal stress of an electronic board; examine the stress on a plane's wing; investigate >influence of wind or fire on architectures.

One way FSI (Fluid Structure Interaction) is developed to facilitate these situations. Analysis results of fluid analysis (temperatures, pressures) can be automatically applied to structural analysis as analysis conditions.

Following video shows how one-way FSI analysis works in midas NFX

Hyeonsang Jang, lead developer of FSI solver, explains FSI and his future plan with this function. With fully coupled FSI, deformation of the structure can be updated and sent back to fluid analysis. That will simulate the real interaction between fluid and structures.

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