Ansys Motor CAD Modeling Damper Bars

PADT’s Kang Li shows how to add Damper Bars to an Electric Motor in Ansys Motor-CAD. This step-by-step video is a tutorial on that process as well as a fantastic look at how Ansys Motor-CAD works.

Mechanical Updates in Ansys 2021 R2: External Models, Composites & Meshing – Webinar

Ansys Mechanical delivers features to enable faster simulations, easier workflows, journaling, scripting and product integrations that offer more solver capabilities. 

With the Ansys suite of tools, engineers can perform finite element analyses (FEA), customize and automate solutions for structural mechanics challenges and analyze multiple design scenarios. By using this software early in the design cycle, businesses can save costs, reduce the number of design cycles and bring products to market faster.

Join PADT’s Lead mechanical engineer Doug Oatis to discover the new features that have been added to Ansys Mechanical in the first webinar covering the 2021 R2 release.

Highlights include unlimited modeling possibilities with journaling and scripting in the Mechanical interface and increased meshing efficiency and quality for shell meshing, among many others.

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All Things Ansys 090: Simulating Predictive Lung Modeling in a Rapidly Evolving COVID World

 

Published on: June 14th, 2021
With: Eric Miller & Jacob Riglin
Description:  

In this episode your host and Co-Founder of PADT, Eric Miller is joined by Jacob Riglin from Los Alamos National Laboratory to discuss simulation’s role in predictive lung modeling and experimentation in a rapidly evolving COVID world.

Learn how Los Alamos used Ansys CFX to predict turbulence and flow structure through the lungs and analyze the impact COVID has on it, as well as patient response to various ventilators.

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

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All Things Ansys 083: Digital Mission Engineering & the Acquisition of AGI

 

Published on: March 8th, 2021
With: Eric Miller, Anthony Dawson & Paul Graziani
Description:  

In this episode your host and Co-Founder of PADT, Eric Miller is joined by Anthony Dawson, Vice President & General Manager at Ansys, and Paul Graziani, CEO and Co-Founder of Analytical Graphics, Inc. (AGI) to discuss the acquisition of AGI and what it means for those simulating in the aerospace and defense industry.

Digital mission engineering, pioneered by AGI, combines digital modeling, simulation, testing, and analysis for aerospace, defense, telecommunication, and intelligence applications to evaluate mission outcomes at every phase of a system’s life cycle. Using this tool you can evaluate the full effect of every change you make and find problems before they become crises.

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

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All Things Ansys 069: Fluent Updates in Ansys 2020 R2

 

Published on: August 10th, 2020
With: Eric Miller & Sina Ghods
Description:  

In this episode your host and Co-Founder of PADT, Eric Miller is joined by Senior Application Engineer, Sina Ghods for a discussion on what’s new and their favorite features in the 2020 R2 update for Ansys Fluent.

Known for delivering the most accurate solutions in the industry without compromise, Ansys continues to provide cutting-edge advancements with each new release. In 2020 R2 users can learn about updates from pre-processing to new physics models and workflow improvements.

If you would like to learn more about this update, you can view Sina’s webinar on the topic here: https://www.brighttalk.com/webcast/15747/427082

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

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Optimizing Electronics Reliability with Ansys Sherlock – Webinar

Ansys Sherlock automated design analysis software is the only Reliability Physics/Physics of Failure (PoF)-based electronics design analysis software that provides fast and accurate life predictions for electronic hardware at the component, board and system levels in early design stages. A unique, powerful capability of Sherlock is its revolutionary ability to rapidly convert electronic CAD (ECAD) files into CFD and FEA models with accurate geometries and material properties.

Through its powerful parsing engine and embedded libraries containing over 500,000 parts, Sherlock reduces pre-processing time from days to minutes and automates workflows through its integration with Ansys Icepak, Ansys Mechanical and Ansys Workbench.

With its extensive parts/materials libraries, Sherlock automatically identifies your files and imports your parts list, then builds an FEA model of your circuit board in minutes. It also produces a holistic analysis that is critical to developing reliable electronics products. It enables designers to simulate each environment, failure mechanism and assembly that a product might encounter over its lifespan.

Join PADT’s Systems Application & Support Engineer Josh Stout for an introduction to this powerful tool along with a look at what new features and updates have been added in the Ansys 2020 R2 version.

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From visualization to simulation: Digital Anatomy Solutions for 3D Printing – Webinar

The Stratasys J750 Digital Anatomy printer truly brings the look and feel of medical models to life with unrivaled accuracy, realism and functionality. Whether used for surgeon training or to perform testing during device development, its models provide unmatched clinical versatility mimicking both the appearance and response of human tissue.

Bring medical models to life. The J750 Digital Anatomy Printer takes the J750 capabilities to the next level. Step up to the printer’s digital capabilities to create models with an incredible array of microstructures which not only look, but now feel and function like actual human tissue for true haptic feedback. All of this in a single print operation with minimal to no finishing steps like painting, sanding or assembly.

Join PADT’s 3D Printing & Support Application Engineer Pam Waterman for a discussion on the value of this innovative new technology, including:

– How it solves challenges facing medical device companies and hospitals

– More realistic, functional, and anatomically accurate modeling capabilities

– Quicker design and development, leading to reduced time-to-market

– And much more

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3D Design Updates in ANSYS 2020 R1 – Webinar

The ANSYS Discovery 3D Design family of products enables CAD modeling and simulation for all design engineers. Since the demands on today’s design engineer to build optimized, lighter and smarter products are greater than ever, using the appropriate design tools is more important than ever. With ANSYS you can explore ideas, iterate, and innovate with unprecedented speed early in your design process. Delve deeper into design details, refine concepts and perform multiple physics simulations — backed by ANSYS solvers — to better account for real-world behaviors.

Capabilities in this tool-set allow engineers to increase speed and reduce costs from the start of the design cycle, all the way to product launch. Improve engineering productivity and accelerate development time, create higher-quality products while reducing development & manufacturing costs, and respond quickly to changing customer demands while bringing new products to market faster than the competition.

Join PADT’s Training & Support Application Engineer, Robert McCathren for a look at whats new & improved when it comes to these tools in ANSYS 2020 R1. This update includes new releases for ANSYS Discovery Live, AIM, and SpaceClaim, focusing on areas including:

  • Simulation of Thin Parts
  • Topology Optimization in Discovery Live
  • Structural Material Properties
  • Physics Aware Meshing
  • Beam and Shell Modeling
  • And much more

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Updates & Additions in ANSYS Mechanical 2019 R3 – Webinar

With ANSYS structural analysis software, users are able to solve more complex engineering problems, faster and more efficiently than ever before. Customization and automation of structural solutions is much easier to optimize thanks to new and innovative finite element analysis (FEA) tools available in this product suite. 

From designers and occasional users looking for quick, easy and accurate results, to experts looking to model complex materials, large assemblies and nonlinear behavior, ANSYS has you covered. The intuitive interface of ANSYS Mechanical enables engineers of all levels to get answers fast and with confidence.

Join PADT’s Specialist Mechanical Engineer Joe Woodward, for an in-depth look at what’s new in the latest version of ANSYS Mechanical, including updates regarding:

  • Software User Interface
  • Design Elements
  • Composites
  • Acoustics
  • External Modeling
  • And much more

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Fluids Updates in ANSYS 2019 R2 – Webinar

ANSYS CFD goes beyond qualitative results to deliver accurate quantitative predictions of fluid interactions and trade-offs. These insights reveal unexpected opportunities for your product — opportunities that even experienced engineering analysts can miss.

Products such as ANSYS Fluent, Polyflow, and CFX work together in a constantly improving tool kit that is developed to provide ease of use improvements for engineers simulating fluid flows and it’s impacts on physical models.

Join PADT’s Simulation Support and Application Engineer, Sina Ghods, for a look at what is new and improved for fluids-related tools in ANSYS 2019 R2. This presentation includes updates regarding:

A new fluent experience

Parallel Mosaic-enabled meshing

Discrete Phase Modeling

Creating high-quality meshes for complex models

Transient elasticity for fluid structure interaction

And much more

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Introducing the Stratasys V650 Flex – Stereolithography Upgraded

The result of over four years of testing, the Stratasys V650 Flex delivers high quality outputs unfailingly, time after time. More than 75,000 hours of collective run time have gone into the V650 Flex; producing more than 150,000 parts in its refinement.

Upgrade to the Stratasys V650 Flex 3D Stereolithography printer and you can add game-changing advances in speed, accuracy and reliability to the established capabilities of Stereolithography. Create smooth-surfaced prototypes, master patterns, large concept models and investment casting patterns more quickly and more precisely than ever.  

In partnership with DSM, Stratasys have configured, pre-qualified and fine-tuned a four-strong range of resins specifically to maximize the productivity, reliability and efficiency of the V650 Flex 3D printer. Create success with thermoplastic elastomers, polyethylene, polypropylene and ABS:

Next-generation stereolithography resins, ideal for investment casting patterns.

Stereolithography accuracy with the look, feel and performance of thermoplastic.

For applications needing strong, stiff, high-heat-resistant composites. Great detail resolution

A clear solution delivering ABS and PBT-like properties for stereolithography.

Thanks to reduced downtime and increased workflow, the Stratasys V650 Flex prints through short power outages, and if you ever need to re-start, you can pick up exactly where you left off. Years of testing have helped deliver not only the stamina to run and run, but also low maintenance needs and high efficiency. To make life even easier, the V650 Flex runs on 110V power, with no need to switch to a 220V power source.

For ease of use, every V650 Flex comes with a user-friendly, touch-enabled interface developed in parallel with SolidView build preparation software. This software contains smart power controls and an Adaptive Power Mode for automated adjustment of laser power, beam size and scan speeds for optimum build performance. 

The V650 Flex also comes equipped with adjustable beam spot sizes from 0.005” to 0.015” that enhance control, detail, smoothness and accuracy. With more precise printing comes better informed decision-making and better chances of success. You have twice the capacity and, to ease workflow further, this production-based machine provides a large VAT for maximum output (build volume 20”W x 20”D x 23”H) and interchangeable VATs.

Through partnering with Stratasys and Stereolithography now comes with an invaluable component: peace of mind. The V650 Flex is backed by the end-to-end and on-demand service and world-class support that is guaranteed with Stratasys. Any field issues get fixed fast, and their 30 years’ experience in 3D printing enable us to help you do more than ever, more efficiently.

Discover how you can work with advanced efficiency thanks to the all new Stratasys V650 Flex.

Contact the industry experts at PADT via the link below for more information:

Discovery Updates in ANSYS 2019 R1 – Webinar

The ANSYS 3D Design family of products enables CAD modeling and simulation for all design engineers. Since the demands on today’s design engineer to build optimized, lighter and smarter products are greater than ever, using the appropriate design tools is more important than ever.

Two key tools helping design engineers meet such demands are ANSYS Discovery AIM and ANSYS Discovery Live. ANSYS Discovery AIM seamlessly integrates design and simulation for all engineers, helping them to explore ideas and concepts in greater depth, while Discovery Live operates as an environment providing instantaneous simulation, tightly coupled with direct geometry modeling, to enable interactive design exploration.

Both tools help to accelerate product development and bring innovations to market faster and more affordably.

Join PADT’s Simulation Support Manager, Ted Harris for a look at what exciting new features are available for design engineers in both Discovery Live and AIM, in ANSYS 2019 R1. This webinar will include discussions on updates regarding: 

  • Suppression of loads, constraints, & contacts
  • Topology Optimization
  • Improving simulation speed
  • Transferring data from AIM to Discovery Live

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All Things ANSYS 009 – How to get your Models to run Faster & Modeling 3D Printing with ANSYS

 

Published on: December 4, 2017
With: Ted Harris, Joe Woodward, Eric Miller
Description: In this episode your host and Co-Founder of PADT, Eric Miller is joined by PADT’s Senior Mechanical Engineer Joe Woodward, and Simulation Support Manager Ted Harris for a look into recent announcements regarding simulating 3D Printing with ANSYS and 3DSIM as well as a discussion about what users can do when their models are taking too long to solve.
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Stratasys – PolyJet Agilus 30 Webinar

Introducing New PolyJet Material: Agilus30

PADT is excited to introduce the newest polyjet material available from Stratasys, Agilus30! Agilus30 is a superior Rubber-like PolyJet photopolymer family ideal for advanced design verification and rapid prototyping.

Get more durable, tear-resistant prototypes that can stand up to repeated flexing and bending. With a Shore A value of 30 in clear or black, Agilus30 accurately simulates the look, feel and function of Rubber-like products. 3D print rubber surrounds, overmolds, soft-touch coatings, living hinges, jigs and fixtures, wearables, grips and seals with improved surface texture.

Agilus30 has applications in a number of areas, including:

  • Medical Models

  • Tooling needing rubber-like characteristics

  • Consumer Goods

  • Sporting Goods

  • General Prototyping

  • Overmolding & many more!

Want to know more about PolyJet’s toughest flexible material to date? 

Join PADT’s 3D Printing Application Engineer James Barker along with Stratasys Materials Business Manager Ken Burns for a presentation on the various benefits and attributes that Agilus30 has to offer, which machines are compatible with it, and how companies are making use of it’s unique capabilities.

Modeling 3D Printed Cellular Structures: Approaches

How can the mechanical behavior of cellular structures (honeycombs, foams and lattices) be modeled?

This is the second in a two-part post on the modeling aspects of 3D printed cellular structures. If you haven’t already, please read the first part here, where I detail the challenges associated with modeling 3D printed cellular structures.

The literature on the 3D printing of cellular structures is vast, and growing. While the majority of the focus in this field is on the design and process aspects, there is a significant body of work on characterizing behavior for the purposes of developing analytical material models. I have found that these approaches fall into 3 different categories depending on the level of discretization at which the property is modeled: at the level of each material point, or at the level of the connecting member or finally, at the level of the cell. At the end of this article I have compiled some of the best references I could find for each of the 3 broad approaches.

1. Continuum Modeling

The most straightforward approach is to use bulk material properties to represent what is happening to the material at the cellular level [1-4]. This approach does away with the need for any cellular level characterization and in so doing, we do not have to worry about size or contact effects described in the previous post that are artifacts of having to characterize behavior at the cellular level. However, the assumption that the connecting struts/walls in a cellular structure behave the same way the bulk material does can particularly be erroneous for AM processes that can introduce significant size specific behavior and large anisotropy. It is important to keep in mind that factors that may not be significant at a bulk level (such as surface roughness, local microstructure or dimensional tolerances) can be very significant when the connecting member is under 1 mm thick, as is often the case.

The level of error introduced by a continuum assumption is likely to vary by process: processes like Fused Deposition Modeling (FDM) are already strongly anisotropic with highly geometry-specific meso-structures and an assumption like this will generate large errors as shown in Figure 1. On the other hand, it is possible that better results may be had for powder based fusion processes used for metal alloys, especially when the connecting members are large enough and the key property being solved for is mechanical stiffness (as opposed to fracture toughness or fatigue life).

Fig 1. Load-displacement curves for ULTEM-9085 Honeycomb structures made with different FDM toolpath strategies

2. Cell Level Homogenization

The most common approach in the literature is the use of homogenization – representing the effective property of the cellular structure without regard to the cellular geometry itself. This approach has significantly lower computational expense associated with its implementation. Additionally, it is relatively straightforward to develop a model by fitting a power law to experimental data [5-8] as shown in the equation below, relating the effective modulus E* to the bulk material property Es and their respective densities (ρ and ρs), by solving for the constants C and n.

homogenizationeqn

While a homogenization approach is useful in generating comparative, qualitative data, it has some difficulties in being used as a reliable material model in analysis & simulation. This is first and foremost since the majority of the experiments do not consider size and contact effects. Secondly, even if these were considered, the homogenization of the cells only works for the specific cell in question (e.g. octet truss or hexagonal honeycomb) – so every new cell type needs to be re-characterized. Finally, the homogenization of these cells can lose insight into how structures behave in the transition region between different volume fractions, even if each cell type is calibrated at a range of volume fractions – this is likely to be exacerbated for failure modeling.

3. Member Modeling

The third approach involves describing behavior not at each material point or at the level of the cell, but at a level in-between: the connecting member (also referred to as strut or beam). This approach has been used by researchers [9-11] including us at PADT [12] by invoking beam theory to first describe what is happening at the level of the member and then use that information to build up to the level of the cells.

membermodeling
Fig 2. Member modeling approach: represent cellular structure as a collection of members, use beam theory for example, to describe the member’s behavior through analytical equations. Note: the homogenization equations essentially derive from this approach.

This approach, while promising, is beset with some challenges as well: it requires experimental characterization at the cellular level, which brings in the previously mentioned challenges. Additionally, from a computational standpoint, the validation of these models typically requires a modeling of the full cellular geometry, which can be prohibitively expensive. Finally, the theory involved in representing member level detail is more complex, makes assumptions of its own (e.g. modeling the “fixed” ends) and it is not proven adequately at this point if this is justified by a significant improvement in the model’s predictability compared to the above two approaches. This approach does have one significant promise: if we are able to accurately describe behavior at the level of a member, it is a first step towards a truly shape and size independent model that can bridge with ease between say, an octet truss and an auxetic structure, or different sizes of cells, as well as the transitions between them – thus enabling true freedom to the designer and analyst. It is for this reason that we are focusing on this approach.

Conclusion

Continuum models are easy to implement and for relatively isotropic processes and materials such as metal fusion, may be a good approximation of stiffness and deformation behavior. We know through our own experience that these models perform very poorly when the process is anisotropic (such as FDM), even when the bulk constitutive model incorporates the anisotropy.

Homogenization at the level of the cell is an intuitive improvement and the experimental insights gained are invaluable – comparison between cell type performances, or dependencies on member thickness & cell size etc. are worthy data points. However, caution needs to be exercised when developing models from them for use in analysis (simulation), though the relative ease of their computational implementation is a very powerful argument for pursuing this line of work.

Finally, the member level approach, while beset with challenges of its own, is a promising direction forward since it attempts to address behavior at a level that incorporates process and geometric detail. The approach we have taken at PADT is in line with this approach, but specifically seeks to bridge the continuum and cell level models by using cellular structure response to extract a point-wise material property. Our preliminary work has shown promise for cells of similar sizes and ongoing work, funded by America Makes, is looking to expand this into a larger, non-empirical model that can span cell types. If this is an area of interest to you, please connect with me on LinkedIn for updates. If you have questions or comments, please email us at info@padtinc.com or drop me a message on LinkedIn.

References (by Approach)

Bulk Property Models

[1] C. Neff, N. Hopkinson, N.B. Crane, “Selective Laser Sintering of Diamond Lattice Structures: Experimental Results and FEA Model Comparison,” 2015 Solid Freeform Fabrication Symposium

[2] M. Jamshidinia, L. Wang, W. Tong, and R. Kovacevic. “The bio-compatible dental implant designed by using non-stochastic porosity produced by Electron Beam Melting®(EBM),” Journal of Materials Processing Technology214, no. 8 (2014): 1728-1739

[3] S. Park, D.W. Rosen, C.E. Duty, “Comparing Mechanical and Geometrical Properties of Lattice Structure Fabricated using Electron Beam Melting“, 2014 Solid Freeform Fabrication Symposium

[4] D.M. Correa, T. Klatt, S. Cortes, M. Haberman, D. Kovar, C. Seepersad, “Negative stiffness honeycombs for recoverable shock isolation,” Rapid Prototyping Journal, 2015, 21(2), pp.193-200.

Cell Homogenization Models

[5] C. Yan, L. Hao, A. Hussein, P. Young, and D. Raymont. “Advanced lightweight 316L stainless steel cellular lattice structures fabricated via selective laser melting,” Materials & Design 55 (2014): 533-541.

[6] S. Didam, B. Eidel, A. Ohrndorf, H.‐J. Christ. “Mechanical Analysis of Metallic SLM‐Lattices on Small Scales: Finite Element Simulations versus Experiments,” PAMM 15.1 (2015): 189-190.

[7] P. Zhang, J. Toman, Y. Yu, E. Biyikli, M. Kirca, M. Chmielus, and A.C. To. “Efficient design-optimization of variable-density hexagonal cellular structure by additive manufacturing: theory and validation,” Journal of Manufacturing Science and Engineering 137, no. 2 (2015): 021004.

[8] M. Mazur, M. Leary, S. Sun, M. Vcelka, D. Shidid, M. Brandt. “Deformation and failure behaviour of Ti-6Al-4V lattice structures manufactured by selective laser melting (SLM),” The International Journal of Advanced Manufacturing Technology 84.5 (2016): 1391-1411.

Beam Theory Models

[9] R. Gümrük, R.A.W. Mines, “Compressive behaviour of stainless steel micro-lattice structures,” International Journal of Mechanical Sciences 68 (2013): 125-139

[10] S. Ahmadi, G. Campoli, S. Amin Yavari, B. Sajadi, R. Wauthle, J. Schrooten, H. Weinans, A. Zadpoor, A. (2014), “Mechanical behavior of regular open-cell porous biomaterials made of diamond lattice unit cells,” Journal of the Mechanical Behavior of Biomedical Materials, 34, 106-115.

[11] S. Zhang, S. Dilip, L. Yang, H. Miyanji, B. Stucker, “Property Evaluation of Metal Cellular Strut Structures via Powder Bed Fusion AM,” 2015 Solid Freeform Fabrication Symposium

[12] D. Bhate, J. Van Soest, J. Reeher, D. Patel, D. Gibson, J. Gerbasi, and M. Finfrock, “A Validated Methodology for Predicting the Mechanical Behavior of ULTEM-9085 Honeycomb Structures Manufactured by Fused Deposition Modeling,” Proceedings of the 26th Annual International Solid Freeform Fabrication, 2016, pp. 2095-2106