The PADT Blog

  • Meshing in the New Ansys Fluent Task-based Workflows

    Working with a variety of users with different levels of CFD (Computational Fluid Dynamics) backgrounds, I have to admit that Fluent meshing used to be a challenging and confusing task for beginners and even intermediate users.

    Ansys has addressed this challenge by redesigning the Fluent user interface to provide a task-based workflow for meshing that enables engineers to do more and solve more complex problems than ever before in less time. The new Fluent task-based workflow streamlines the user experience by providing a single window that offers only relevant choices and options and prompts the user with best practices that deliver better simulation results.

    Best practices are embedded into the workflow in the form of defaults and messages to the user. This reduces the amount of training required to start using the software and makes it easier for occasional users to return to the software.

    How to Mesh Watertight CFD Geometry in the New Ansys Fluent Task-based Workflow

    In order to use this workflow, you need a relatively clean watertight solid and/or fluid regions that can be meshed by surface meshing and then volume filling (no wrapping required.) Geometry can consist of single or multiple bodies.

    Going through the task-based workflow is straightforward. You are presented with several steps, like:

    • Surface mesh.
    • Describe geometry. (Fluid and/or solid)
    • Capping. (If you are creating an internal flow volume, then the capping tools in Fluent makes extraction easy)
    • Volume meshing. (If you wish to use the latest Mosaic meshing technology, select “Poly-hexcore”)
    Mosaic Meshing Technology

    Now, click on “Switch-to-Solution,” to bring the mesh into a familiar Fluent interface.

    Fault-Tolerant Workflow for Ansys Fluent Meshing Wraps and Seals Leaks and Gaps

    Sometimes CFD simulations contain dirty, non-watertight geometries. For instance, 3D scanned or manufacturing geometry files. These geometries may contain missing faces, gaps, holes, overlaps, and other issues. As a result, they require extensive cleanup before simulation.

    To overcome this obstacle, Ansys offers a new Fluent meshing workflow that wraps dirty geometry without cleanup.

    The workflow for non-watertight geometry offers distinct advantages over other meshing technologies such as:

    Part management:

    Users can perform CAD-level changes to any geometry or assembly, including dragging and dropping objects from the CAD model into the simulation model.

    Leakages and overlaps:

    The fault-tolerant workflow seals leakages caused by gaps and misalignments between solid bodies. This significantly reduces the manual efforts required to clean up geometry.

    The fault-tolerant workflow can easily wrap leaky geometry

    STL file input

    The workflow can create fluid regions directly from STL files or scanned data. This eliminates the need to convert STL files into solid geometry for the biomedical, oil and gas, automotive and other industries.

    Imported STL File

    2020R2 updates:

    There are a few important improvements both in Watertight meshing (WTM) and Fault-Tolerant meshing (FTM) workflows in the 2020R2 release.

    FTM/WTM: Wild card selection in lists

    The Meshing Workflows now have an option to use a persistent Wildcard string for selecting labels or zones. This is in addition to the Filter Text option previously available. The new Use WildCard option stores the wildcard string itself in recorded workflows instead of an explicit list of locations so that when they are played back with new geometries, the matching will be performed again and pick up any matching zones/labels that were not in the earlier geometry.

    WTM: Support of Region-specific Sizing 

    You can specify region-specific Max Size and Growth Rates during the Volume Meshing task.  If you enable Region-based Sizing, Fluent will compute default sizing specifications for each region.  These can then be adjusted as required for each region.

    WTM: Start From Imported Surface Mesh

    This is useful if you have an established surface-meshing workflow or if you already have a mesh generated (perhaps from another preprocessor or an existing Fluent case) and want to use that as a starting point for Fluent meshing. Once you import the surface mesh you have the option of using it as it is, or selectively adding additional Local Size controls and/or remeshing particular surfaces as needed.

    FTM: Continuous prism layers for Poly and Poly-Hexcore for Fluids

    For the Fault-Tolerant Meshing Workflow you can now create continuous prism layers without stair-stepping within poly and poly-hexcore fluid regions.  Note that this will apply in all zones of the region.

    WTM: Support of Local Sizing on Labeled Edges

    Once you have labeled the edges, you can select Edge Size in Add Local Sizing to prescribe a target size on the selected edge(s).

  • All Things Ansys 074: Design & Digital Engineering Updates in Ansys 2020 R2


    Published on: October 19th, 2020
    With: Eric Miller & Robert McCathren

    In this episode your host and Co-Founder of PADT, Eric Miller is joined by PADT’s Application Engineer Robert McCathren for a look at 3D product design and updates for Ansys Discovery AIM, Live, and SpaceClaim in 2020 R2.

    If you would like to learn more about this update, you can view Robert’s webinar on the topic here:

    If you have any questions, comments, or would like to suggest a topic for the next episode, shoot us an email at we would love to hear from you!



  • Press Release: PADT Expands its Operations in New Mexico With the Addition of 3D Printing Talent and Services

    New 3D Printing Field Service Engineer Brings Exceptional 3D Printing Tooling and End-Part Production Skills and Knowledge to the Region

    We are very pleased to announce that one of our 3D Printer experts is relocating to our New Mexico facility. Art Newcomer has moved to Albuquerque and will continue to support our Colorado and New Mexico cusotmers from there instead of our Littleton Office.

    Read more in the press release below or as a PDF or HTML.

    As always, if you have any questions, please contact us.

    PADT Expands its Operations in New Mexico With the Addition of 3D Printing Talent and Services

    New 3D Printing Field Service Engineer Brings Exceptional 3D Printing Tooling and End-Part Production Skills and Knowledge to the Region

    TEMPE, Ariz., October XX, 2020 PADT, the Southwest’s leading provider of numerical simulation, product development, and 3D printing products and services, today announced 3D printing expert Art Newcomer is relocating from the company’s Colorado office to its long-standing New Mexico facility, located in Sandia Science & Technology Park (SS&TP). The move comes on the heels of PADT’s expanded capabilities and services in 3D printing and numerical simulation in California and Texas. Combined, these recent moves bolster the company’s ability to serve the growing region.

    “Art has done a fantastic job supporting our Colorado customers and has been a significant contributor to our growth in the state,” said Ward Rand, co-founder and principal, PADT. “As a member of the PADT support team, he will continue to serve Colorado customers. Art’s move to New Mexico simply expands his impact on a region that has seen a significant acceleration of 3D printing adoption, making his extensive knowledge and talents a real asset there moving forward.”

    Newcomer has been serving PADT’s 3D printing customers for five years, and has nearly 20 years of experience as a field service engineer across different technologies and sectors. In his role at PADT, he applied his talents to help customers install, maintain, and repair their Stratasys additive manufacturing systems across a wide variety of industries including aerospace, defense, medical, and industrial.

    PADT’s growing customer base in New Mexico has expanded the application of proven Stratasys 3D printing technologies to include more tooling and end-part production. The National Labs in New Mexico were pioneers in the application of 3D Printing and PADT has been proud to work with them over the years as they increase their efforts and find new applications for the technology.

    “I’m looking forward to taking on a new challenge in New Mexico where PADT has served for many years,” said Newcomer. “The growth of 3D printing investments in the region provides us with a great opportunity to use our hard-earned expertise to educate customers on how to best implement the technology and to keep their systems operating at peak performance”

    To learn more about PADT’s services in New Mexico as well as its continued expansion throughout the Southwest, please visit

    About PADT

    PADT is an engineering product and services company that focuses on helping customers who develop physical products by providing Numerical Simulation, Product Development, and 3D Printing solutions. PADT’s worldwide reputation for technical excellence and experienced staff is based on its proven record of building long-term win-win partnerships with vendors and customers. Since its establishment in 1994, companies have relied on PADT because “We Make Innovation Work.” With over 90 employees, PADT services customers from its headquarters at the Arizona State University Research Park in Tempe, Arizona, and from offices in Torrance, California, Littleton, Colorado, Albuquerque, New Mexico, Austin, Texas, and Murray, Utah, as well as through staff members located around the country. More information on PADT can be found at

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  • Design & Digital Engineering Updates in Ansys 2020 R2 – Webinar

    The Ansys Discovery suite of tools allows engineers to improve their 3D design capabilities, by increasing productivity, improving product quality, and spurring innovation. Explore ideas, iterate and innovate with unprecedented speed early in your design process with Ansys 3D design software.

    Delve deeper into design details, refine concepts and perform multiple physics simulations to better account for real-world behaviors. 

    Join PADT’s Application Engineer Robert McCathren for a look at 3D product design and updates for Ansys Discovery AIM, Live, and SpaceClaim in 2020 R2.

    In the Ansys 2020 R2, users can explore large design spaces and answer critical design questions early in the product design process without waiting days or weeks for traditional simulation results.

    Additionally, these tools have been upgraded to support concept modeling and model prep for importing modified CAD geometry, auto-skinning topology optimization results from Ansys Mechanical for automated geometry reconstruction, and so much more.

    Register Here

    If this is your first time registering for one of our Bright Talk webinars, simply click the link and fill out the attached form. We promise that the information you provide will only be shared with those promoting the event (PADT).

    You will only have to do this once! For all future webinars, you can simply click the link, add the reminder to your calendar and you’re good to go!

  • All Things Ansys 073: LS-DYNA Updates in Ansys 2020 R2


    Published on: October 5th, 2020
    With: Eric Miller & Jim Peters

    In this episode your host and Co-Founder of PADT, Eric Miller is joined by PADT’s Senior Staff Technologist Jim Peters to discuss the capabilities of the explicit simulation tool LS-DYNA, and look into what’s new in the 2020 R2 version of the latest Ansys acquisition.

    If you would like to learn more about this update, you can view Jim’s webinar on the topic here:

    If you have any questions, comments, or would like to suggest a topic for the next episode, shoot us an email at we would love to hear from you!



  • Efficient and Accurate Simulation of Antenna Arrays in Ansys HFSS – Part 2

    Finite Arrays

    In addition to explicit modeling of finite arrays in Ansys HFSS, there are three other methods based on using unit cells. To learn more about the unit cell, please see part 1 of this blog.

    In part 2, I will introduce and compare these 3 methods (1) Finite array defined using the array setting in unit cell, (2) Finite Array using Domain Decomposition Method (FADDM), (3) 3D component arrays (Figure 1). Please note that that the method 3 requires HFSS 2020R1 or newer.




    Figure 1. (a) Unit cell, (b) FADDM, (c) 3D component array.

    Finite Array using Unit Cell

    After defining a unit cell (Figure 1a), you may simply define the number of elements, the spacing between them, and the scan angle. The assumption is that there is no mutual coupling, every element has the same radiation pattern and the same excitation. This is a good approximation for large arrays (10×10 or larger). This method may not be accurate enough in some cases, for example for a small number of elements; and when the antenna elements have main beams toward the angles that are close to the plane of the array and toward the other elements, causing a higher level of mutual coupling. However, smaller arrays won’t require as large of a compute resource as a large array.

    The advantage of this method is its simulation speed. It requires the minimum memory and time to provide a quick array simulation. To define the array (after running the analysis for unit cell), right-click on Radiation from the Project Manager window. Select Antenna Array Setup, and then Regular Array Setup. In the Antenna Array Setup under Regular Array type, define the location of the first cell, the direction, the distance between the cells and number of cells in each direction.




    Figure 2. Steps to define a finite array, (a) Antenna array setup, (b) & (c) Regular array setup.

    Finite Array using Domain Decomposition Method

    General Domain Decomposition (DDM) for a single domain provides a way to reduce memory requirement, however, it does not reduce the meshing time for large explicit arrays. Using Finite Array DDM (FADDM) addresses this shortcoming. The FADDM bypasses the adaptive meshing stage by duplicating the mesh that was generated for a unit cell. While the unit cell is used to create the mesh, the assumption of uniform excitation is no longer present. Each element in FADDM can have different magnitude and phase and is individually modeled, however, the mesh created in the unit cell is used to generate the overall mesh, therefore, no CPU time is spent on generating the mesh. This can be seen in Figure 3, by linking the mesh of the unit cell to the FADDM, the mesh is copied, and no mesh refinement will be needed. You may compare it with the explicit array of the same size (Figure 3(c)) where the entire array has to be meshed and mesh refinement will be necessary for adaptive meshing. This can be a huge simulation time saving when the array size is large.




    Figure 3. (a) Mesh from a unit cell, (b) mesh linked to FADDM, (c) explicit array mesh.

    To create FADDM from unit cell, create a new HFSS design. Then copy the unit cell into the new design. In the Project Manager window, right-click on Model and choose Create Array, as shown in Figure 4. This opens the window that allows user to define the number of elements of the array along the lattice directions. By selecting “Active Cells” tab, user can define where active, passive and padding cells are located. This gives the user a means of creating different lattice shapes.

    Please note that padding cells defined in the General tab represent the size of vacuum buffer surrounding the array. They are not visible to the users but are included in the FADDM simulation. The same mesh from the unit cell simulation is duplicated to padding cells (Figure 5). It is also possible to add padding cells in the Active Cells tab, and those cells are also invisible, but can be used to create the array lattice of the desired shape (Figure 6).

    Figure 4. The steps to create a DDM array, the Padding Cells are used to create the vacuum box and are invisible to the user.

    Figure 5. The FADDM needs a padding cell to create a vacuum box around the design. The padding cells are invisible to the user.



    Figure 6. (a) Padding cells can be used to create a lattice, (b) the lattice created does not show the padding cells.

    The next step is to link the mesh to the unit cell. First, an analysis setup should be created. Choose Advanced Solution Setup. In the Driven Solution Setup General tab, reduce the number of Maximum Number of Passes to 1, as shown in Figure 7(a), then choose Advanced tab and click on Import Mesh (Figure 7(b)). Click on Setup Link. This is to link the simulation to the mesh of a unit cell. There are two steps needed here. First, choose the file or design that contains the mesh information (Figure 7(c)), second is to map the variables Figure 7(d). The last step to setting up the analysis is selecting Advanced Mesh Operation tab and selecting “Ignore mesh operation in target design” (Figure 7(d)). Now the array is ready and simulation can be run. You notice that adaptive meshing goes to only one pass. If in Setup Link window the option of “Simulate source design as needed” is checked (Figure 7(c)), then if a design variable that affects the geometry is changed, the meshing of the unit cell is repeated as needed. After the simulation is completed the elements magnitude and phases can be changed as a post processing step by “Edit Sources” (right-click on Excitations). The source names provided in the edit sources is slightly different than an explicit array (Figure 8)






    Figure 7. Different windows related to setting up a linked mesh in FADDM.

    Figure 8. Edit sources gives the ability to change the magnitude and phase of each element.

    To compare the run-time and array patterns an example of circular polarized microstrip patch antenna of a 5 ´ 5 element array is shown in Figure 9 and Figure 10. The differences can be seen at angles away from the broadside angle. This shows how the edge effects are ignored in the unit cell approximation. Table 1 shows the comparison of memory and runtime for the three methods.

    Table 1. Comparing run time and memory needed for a 5 x 5 array, explicit array vs FADDM.

    Elapsed Time (min:sec) Memory (MB)
    Unit cell01:0683.1
    Explicit Array25:0694.7

    Figure 9. Comparison of the far-field patterns for LHCP (co-polarization) created using FADDM and unit cell array.

    Figure 10. Comparison of the far-field patterns for RHCP (cross-polarization) created using FADDM and unit cell array.

    Finally, we compare the co-polarization pattern with an explicit 5 x 5 element array for scan angles of 0 and 30 degrees in  Figure 11 and Figure 12, respectively.

    Figure 11. Comparison of far-field LHCP created by explicit array vs. FADDM.

    Figure 12. Comparison of scanned far-field LHCP, scan angle of 30 degrees.

    3D Component Array

    In 2020R1 the option of 3D component array was added. This option provides a means of combining different unit cells in one array. The unit cells are defined and imported as 3D components. To create a 3D component unit cell, define each type of the cells in a separate HFSS design, run the analysis, then select all objects in the model. In the Model ribbon, click on Create 3D Component, assign a name (no spaces are allowed in the name), add any information you like to add such as owner, email, company, etc., then click OK. Once all the 3D component cells are created, create a new HFSS design for the 3D component FADDM.

    The next step is to create Relative CS for each of the 3D component elements in the HFSS design that will contain the array. For this step you need to plan the array lattice ahead of time, so the components are placed in the proper locations (Figure 13). Overlap is not allowed.

    The unit cells should have the followings:

    • Identical dimensions of the bounding boxes
    • Identical Primary/Secondary (Master/Slave) boundary on the unit cells.

    The generation of FADDM is similar to single unit cell array, except that when you select Model->Create Array, the window will be shown as 3D Component Array Properties (Figure 14). After choosing the number of elements and the number of padding cells, the unit cells window (Figure 15) will give you options of choosing one of the 3D component unit cells for each location of the elements in the lattice. The cells can be color coded. In the example shown in Figure 16  there are 3 components, the blank cell, the vertical cell and the horizontal cell. The sources under Edit Sources window are also arranged based on the name of the 3D component cells. At this point there is no option of linking the mesh. Therefore, the number of passes for adaptive mesh should be set to a number that is appropriate for getting a convergence.

    Figure 13. 3D component unit cells are arranged to create a 3D component array.

    Figure 14. The 3D component array can be created the same way as creating FADDM using a unit cell.

    Figure 15. The unit cells are color coded for easier lattice creation.

    Figure 16. The result of lattice created using 3D component array.


    Unit cell and Finite Array Domain Decomposition are excellent options for simulating large finite arrays within a reasonable runtime and memory requirements. The 3D component finite array is a nice added feature in 2020R1 that now provides a way to combine unit cells with different geometries in one array.

    If you would like more information related to this topic or have any questions, please reach out to us at

  • All Things Ansys 072: Building Digital Twins in Ansys 2020 R2


    Published on: September 21st, 2020
    With: Eric Miller, Matt Sutton & Josh Stout

    In this episode your host and Co-Founder of PADT, Eric Miller is joined by PADT’s Senior Analyst & Lead Software Developer Matt Sutton, and Systems Application & Support Engineer Josh Stout for a discussion on the advantages of using Ansys Twin Builder to create simulation-based virtual replicas of physical assets for testing, as well as what’s new and improved for this tool in the 2020 R2 release.

    If you would like to learn more about this update, you can view Matt’s webinar on the topic here:

    If you have any questions, comments, or would like to suggest a topic for the next episode, shoot us an email at we would love to hear from you!



  • All Things Ansys 071: Structural Optimization & Additive Improvements in Ansys 2020 R2


    Published on: September 8th, 2020
    With: Eric Miller & Doug Oatis

    In this episode your host and Co-Founder of PADT, Eric Miller is joined by PADT’s Lead Mechanical Engineer Doug Oatis for a discussion on what you can expect from the latest advancements in topology optimization and simulation for additive manufacturing, available in Ansys 2020 R2. This update spans a variety of areas, including optimizing setup, modifying STL files, parameter free morphing, and much more.

    If you would like to learn more about this update, you can view Doug’s webinar on the topic here:

    If you have any questions, comments, or would like to suggest a topic for the next episode, shoot us an email at we would love to hear from you!



  • All Things Ansys 070: Optimizing Electronics Reliability with Ansys Sherlock


    Published on: August 24th, 2020
    With: Eric Miller & Josh Stout

    In this episode your host and Co-Founder of PADT, Eric Miller is joined by PADT’s Application & Support Systems Engineer, Josh Stout for a discussion on the unique capabilities of Ansys Sherlock, and what’s new for the tool in 2020 R2.

    If you would like to learn more about this update, you can view Josh’s webinar on the topic here:

    If you have any questions, comments, or would like to suggest a topic for the next episode, shoot us an email at we would love to hear from you!



  • SPISim – New addition to the Ansys Electronics family

    In this article, I would like to introduce some new features added to the Ansys Electronics Solution 2020R2 release called SPISim. Since this is a new tool, I’ll focus on describing its capabilities as well as some possible applications.

    What is SPISim?

    Signal, Power Integrity and Simulation (SPISim) focuses on system-level and on-chip SI/PI modeling, simulation, and analysis. The tool presents a variety of different features, which are split on separate modules shown below.

    Let us look at each module individually and highlight the key functionality.

    There are 2 main Modules VPro and MPro. All the other features (sub-modules) are split between these main two.

    VPro Core

    This is a versatile GUI for viewing waveforms. It supports a wide variety of formats including .tr0, .ac0, .ibis, .csv, .mat, .raw, .snp, .citi, and more. Besides simple viewing capabilities, VPro can also be used for waveform analysis:

    • Overshoot and Undershoot (for Peaks and Valleys)
    • Threshold Crossings
    • Min/Max Peak-2-Peak
    • Root-Mean-Square Value 
    • FFT, iFFT
    • Correlation
    • Pulse to PDA

    Using the information about waveforms, this tool can also plot an eye diagram, perform simple correlations, and run measurements. The viewer also supports framework scripting on JavaScript, Ruby, TCL, etc.

    DPro Unit (VPro Module)

    DPro (short for DDR Pro) provides comprehensive DDR related post-processing analysis. Key functionalities of this tool:

    • Batch mode of processing one or more waveform files
    • Support of multiple receiver processing
    • Built-in and customizable derating table and derating processing
    • Built-in 100+ measurement functions for typical DDR signal analysis
    • Results cross-probing and show problematic location automatically

    The feature is organized in a wizard-like style. The user simply needs to fill out information in 6 tabs and click the ‘Run’ button. Overall, it is very intuitive to use, but like any new features, there is a learning curve for a new user.

    TPro Unit (VPro Module)

    It provides comprehensive transmission line related modeling, analysis, post-processing, and viewing capabilities. Here are several main functionalities offered by this add-on:

    • Comprehensive stackup planner to model t-lines’ performance in different stackup configurations
    • Advanced t-line modeling viewer for rapid analysis such as impedance, crosstalk, or propagation delay analysis
    • A table viewer for RLCG frequency content
    • What-if analysis for quick impedance/crosstalk calculation, and data processing, such as trimming and merging of frequency points
    • Batch mode processing and measurements for one or more t-line model files, result is a plain .csv file ready for further modeling or analysis

    This feature helps the user to run pre-layout ‘what-if’ analysis. Both ‘transmission line analyzer’ and ‘layer stackup planner’ give the user a flexible way of understanding potential design constrains and guidelines.

    SPro Unit (VPro Module)

    This module is similar to TPro in a sense of the capabilities. However, it is directed to view and analyze S-parameters instead of tabular transmission line data. Also, in contrast to TPro, this feature has a separate tab ‘S-Param’ with all the features listed there.

    Here are major capabilities of SPro:

    • Advanced s-parameter viewer for speedy analysis such TDR/TDR or PDA analysis
    • Table viewer for frequency content; export s-parameter data to matlab .mat format and more
    • 20+ advanced analysis functions such as mixed-mode conversion, cascading and renormalization
    • Batch mode processing and measurements for one or more s-parameter files
    • Support customizable s-parameter reporting generation for lab automation and beyond

    Besides the conceptual similarities with the TPro, S-parameter’s waveform viewer based on VPro waveform viewer. Therefore, all operations available in VPro can also be found in S-parameter viewer.

    Signal Generator Unit

    This tool allows the user to generate a signal and use it in a future analysis. The generator offers wide variety of signal patterns (such as PRBS, Pulse, Sine, Square, Sawtooth etc) in combination with the PAM4 and NRZ modulation schemes. The user needs only to specify parameters for the signal and then create it.

    This simple, but very powerful feature helps to save time for the engineer. 

    MPro Core

    By definition, MPro is a modeling unit, which helps the user to work with the data. However, modeling can mean different things. The main advantage of MPro is providing the user with the simple environment for data manipulation. Here are all main functionalities of this core module:

    • Table data processing: combine, extract, summarize statistically, etc
    • Plan sampling with design of experiments, full factorial, Monte Carlo, etc
    • Simulate or collect data using customizable scripts, supporting multi-CPU/multi-thread
    • Visualize data in statistical, 2D or 3D plots
    • Model data using response surface modeling, neural network (feed forward and radial basis), etc
    • Optimization using linear, nonlinear, or genetic algorithm methods

    BPro IBIS and AMI Unit (MPro Module)

    BPro is one unit, however in this description I have purposefully separated it into two – BPro IBIS and BPro AMI, because the functionality of BPro is very broad. It is easier to focus on a one thing at a time.

    Generally, BPro brings comprehensive IBIS related modeling, analysis, post-processing, and viewing capabilities to user. In more detail:

    • Has an inspector to view IBIS model’s textual content and visualize various waveform/current table easily. Tool also allows manual editing of model data with a simple mouse click and drag
    • Built-in advanced IBIS model generation flow from either scratch or existing simulation data. Tool will guide user from modeling setup, spice decks generations, simulation, modeling, syntax checking with golden parser, validation to final figure of merits (FOM) reporting
    • Support batch mode generations of performance reports for one or more model files. Results are in .csv file format and can be used for further analysis
    • IBIS model generation from Spec. or data sheet without performing any simulation. Generated model will also have two sets of waveforms under different loading conditions

    Under ‘IBIS’ menu tab, the user will find separate sets of commands for both IBIS and AMI, as well as commands for IBIS-AMI in general.


    This new addition to Ansys Electronics Solution brings a very wide variety of features to engineers. All Waveform Viewer, Signal Generator, IBIS-AMI modeling, DDR analysis, Data optimization, and Transmission line planner are united under one tool – SPISim. We can launch this tool either from within Ansys 3D Layout or SIwave, and, in 2020R2, is accessible through the Electronics Enterprise license.

    Here is an overview of the SPISIm functionality:

    Besides developing the help documentation and video demos, SPISim engineer team provides users with the detailed information about the tool in their blog –  and helps to fill out the technical ‘gaps’ by sharing the reference material –

    If you would like more information related to this topic or have any questions, please reach out to us at