Ansys 12.1 64 Bit License Genera
Brandi Baylon
How can I get the memory usage of my DPF (mechanical or PyDPF) script. I am wanting to know how much is being used in relation to size of results file (mesh and time steps) to know the general limit on a given machine.
Some common errors that may occur when using the Static Structural Tool include meshing errors, convergence errors, and general errors. These errors can often be resolved by adjusting the model setup or refining the mesh.
If you encounter a general error in the Static Structural Tool, the first step is to check the log file for more information on the error. It is also helpful to review the model setup, boundary conditions, and material properties to ensure they are correct. If the error persists, it may be necessary to contact technical support for further assistance.
while simulation for a PM axial flux generator at no load 1000RPM in Ansys Maxwell, shows moving torque fluctuating between -0.7 to 0.7 Nm, which should have been 0, as there is no load attached and it is coreless design so no cogging torque as well. Need someone to help me out.
Goodevening, I have tried a simulation on the same metallic piece both with ansys and PrePoMax. The point is I get a 4% error for what concerns deformations, which is accetable, instead I get more than 15% error among the results of mieses and buckling factor, which to me is too much. I may have set PrePoMax the wrong way since the simulation took 100 sec wrt 360sec with ansys. I have a pdf with all the configutations I have set but I cannot upload them since I am a new user, if anyone thinks can help me I will be happy to share also my documentation.
Best Regards.
New elements of the latest update include the quadrilateral low-order 4-node SOLID272 and high-order 8-node SOLID273 general axisymmetric elements. The related surface effect element SURF159 was included to augment the loads that could be considered for structural software, and is user-set to include or exclude midside nodes. These new elements permit users to create axisymmetric models that, unlike older harmonic elements, consider non-axisymmetric loads while including nonlinear behaviors (contact, material nonlinearity, and large displacement).
The NAXIS command automatically creates a full 3-D finite-element model using the base elements, the axisymmetric axis, and the number of Fourier nodes specified via KEYOPT(2). The axisymmetric axis must be on the master plane, and the base elements must be on one side of the axis. A base element or base node must be associated with one axisymmetric axis before issuing the NAXIS command. All generated nodes are equally distributed circumferentially.
Use of the SOLID172 element with a partial coating of SURF159 elements will be illustrated next. This should clarify some of the information implied above, and detail some of the settings of element options, real constants, the NAXIS command and section definitions that make the use of these general axisymmetric elements possible.
Other Element Reference manual comments explain further details. Note that the newer general axisymmetric elements may be easier for users to employ than the older harmonic axisymmetric elements. Quoting again:
For KEYOPT(2) = 1, the deformation is also axisymmetric but, unlike the axisymmetric option of 2-D elements such as PLANE182, the general axisymmetric elements allow torsion. If no torsion load exists, it is more efficient to use the axisymmetric elements.
Solve localized deformation problems with a greater number of Fourier nodes (higher-order Fourier terms). Be aware that the deformation is not as localized as it would be when using standard 3-D solid elements; with general axisymmetric elements, displacements are interpolated using Fourier terms in the circumferential direction (rather than being interpolated piecewise using linear/quadratic functions as in 3-D solid elements).
The maximum allowed number of Fourier nodes is 12. If more than 12 nodes are necessary, a general axisymmetric element may not be computationally efficient; therefore, it is better to use a standard 3-D solid element for such cases.
With the above commands executed, the NAXIS command can generate the 3D model that is implied by the general axisymmetric elements. The /ESHAPE,1 command in PowerGraphics lets ANSYS plot the 3D view of these general axisymmetric elements:
After the NAXIS command is applied, some external loads on exterior surfaces can be applied with a surface-based constraint. For this purpose, a TARGE170 pilot node is associated with a set of CONTA175 contact elements that coat a chosen surface on the SOLID272 or SOLID273 elements after the NAXIS command is applied. The CONTA173 and CONTA174 elements cannot be used with these general axisymmetric elements, because after NAXIS, general axisymmetric solid element faces are neither 4-noded nor 8-noded.
A simple test model was created with SOLID272 general axisymmetric elements. The axis for this model was set to be the Y axis. Element types for SOLID272 and low-order SURF159 were created with KEYOPT(2) set to 12 nodal planes. A rectangle on the X-Y plane was meshed with SOLID272, the inner edge of the rectangle was coated with SURF159 elements, and the NAXIS command generated the nodal planes. The /ESHAPE,1 command was executed, and a 3D view of the resulting model was possible.
In the figure below we see stresses due to combined bending and internal pressure. The SURF159 elements were unselected before generating the stress and deflection plots because they do not indicate any stress, and they do not move in space when plotted.
The general axisymmetric elements support contact with standard 3D elements. CONTA175 node-to-surface contact elements are used on faces of the general axisymmetric elements, while TARGE170 surface contact elements are used on the standard 3D elements for a contact pair.
Next-generation wireless systems feature higher bandwidth, more connected devices, lower latency, and broader coverage. Design complexity of RF integrated circuits used for wireless data transmission such as transceivers and RF front-end components continues to grow. Higher circuit frequencies, smaller feature sizes, and complex layout-dependent-effects make high speed design physics challenging, requiring more accurate and comprehensive modeling and simulation to achieve the highest performance and robust product reliability.
Niels Faché, Vice President and General Manager, Keysight EDA, said: "Keysight, Synopsys, and Ansys have expanded their strategic technology collaboration with TSMC to deliver the next level in RF design for TSMC's advanced 4nm RF technology. We've witnessed RF designers struggling to use older-generation solutions and flows that were never intended for today's WiFi-7 system-on-chip and RF subsystem designs. New layout-dependent-effects make detailed simulation and modeling that is signoff accurate a must-have. Other commercial tools and workflows do not always include these newest foundry requirements, and often lack the capacity to model modern analog designs with hundreds of coupled signal ports."
At Keysight (NYSE: KEYS), we inspire and empower innovators to bring world-changing technologies to life. As an S&P 500 company, we're delivering market-leading design, emulation, and test solutions to help engineers develop and deploy faster, with less risk, throughout the entire product lifecycle. We're a global innovation partner enabling customers in communications, industrial automation, aerospace and defense, automotive, semiconductor, and general electronics markets to accelerate innovation to connect and secure the world. Learn more at Keysight Newsroom and www.keysight.com.
After the second simulation, it was possible to generate two-dimensional contours for the following variables: velocity, Temperature, mass transfer rate (from steam to water), and volume proportion of water and steam. This simulation has been running continuously and without regard to time.
The current issue uses the ANSYS Fluent program to simulate Calcium-Oxalate generation utilizing a Population Balance Model (PBM). We carry out this CFD project and do a CFD analysis to look at it. Following the simulation, two-dimensional findings about the mass fraction of the current chemical species at various times and for various bin numbers are obtained.
This indicates that the amount of particles created in the bin-0 to bin-30 categories is negligible. The generated particles are formed and grow in smaller volumetric sizes (between bin-47 and bin-30) and are therefore undetectable in larger volumetric sizes, we can infer.
This research simulates a proton exchange membrane fuel cell using the CFD numerical simulation method and the ANSYS Fluent software. Fuel cells are less polluting than other forms of power generation since they produce energy through a chemical reaction. This project simulates a fuel cell using the PEMFC model.
This project simulates the combustion process inside a combustion chamber while monitoring variables like the rate of heat creation, pollution production, etc. (The following table displays the input and output parameters list.) The goal of this project, as described in the preceding paragraphs, is to optimize the geometrical characteristics of the combustion chamber to achieve objectives like optimizing the heat generation rate while limiting the amount of generated pollution. Indirect Optimization utilizing the RSM approach and direct Optimization are also addressed in this project. In the indirect optimization step, we use the CCD approach to create the design points required for the RSM analysis. The best input parameters for our model will then be determined through a parameter correlation procedure.
The input settings for the combustion chamber will then be optimized based on the data produced for the RSM analysis. The steps for performing direct Optimization are demonstrated in the second section. First, we will generate the design points required for the optimization process. Then, by specifying the desired target(s) (for example, maximizing the value of the heat generation rate while minimizing the amount of formed pollution), the software will begin the optimization process and give you the top three candidate points.
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