Minimize risk and ensure high-quality, certifiable additive manufacturing parts with Ansys’ comprehensive and scalable software solution. Create and optimize designs for topology, lattice optimizations and more.
Ansys Additive Solutions, a comprehensive and scalable software solution, allows you to minimize risk and ensure high quality, certifiable parts. Dive deeper into the properties of your printer parts, ensure traceability of your data, optimize build files and more.
Join PADT’s Lead Mechanical Engineer and additive expert Doug Oatis for an in depth look at what’s new in the latest version of Ansys Additive.
This release Additive Solutions enhances speed and workflows for users. Users will experience a significant improvements in accuracy across the Additive Solution products.
Update highlights include:
Faster solve times & improved user workflows
Increased accuracy & numerical consistency owing to changes to meshing defaults and improved robustness
Speed improvements in additive microstructure simulations
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In this episode your host and Co-Founder of PADT, Eric Miller is joined by Director of Strategic Partnerships at Ansys Wim Slagter to discuss the latest advancements in the software’s HPC capabilities, and how users can make the most out of cloud computing.
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!
Ansys Mechanical delivers features to enable easier workflows, analysis, scripting and product integrations that offer more complex 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 physics scenarios. By implementing this software into a manufacturing workflow, users can save money and time while ensuring their product meets the innovative requirements they have setup.
Join PADT’s Senior mechanical engineer & lead trainer Joe Woodward to discover the new features that have been added to Ansys Mechanical in PADT’s final webinar covering the 2021 R2 Mechanical release.
Highlights include nCode design capabilities, linear dynamics, acoustics, and explicit dynamics among many others.
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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!
There is a new workflow that has been developed for the Fluent CFD solver. It is called gradient-based optimization. It uses the adjoint solver, which computes the linearized derivatives of a single output variable with respect to all the input variables. It then calculates separate sensitivity fields for the inputs. Based on the sensitivity fields, it determines which inputs to change to maximize the desired change in the output variable.
The optimization tool is accessed through the Design tab in the Fluent menu.
There are several observable types that can be optimized for:
The first step in the process is to calculate a steady state solution of the problem. Once a converged solution has been obtained for steady state solution, an adjoint solution is evaluated to either maximize or minimize the desired observable.
Once the evaluation is completed, the adjoint solution is calculated.
The next step is to use the Design Tool menu to define the wall boundaries that will be modified by the optimization process and what portions of those boundaries.
To perform an individual iteration in the optimization process, click on the Calculate Design Change button in the Design Tool window. If you are looking to achieve a larger change to the observable, series of iterations will need to be run. This can be done automatically using the Gradient-Based Optimizer tool.
To test out the capability of this new optimization tool, I ran a simple model of a u-bend pipe and optimized it to reduce the pressure drop through the bend by 40%. The initial solution of the pipe resulted in pressure contours shown below.
When the optimizer was run to reduce the pressure drop through the model by 40%, the optimization history is as follows:
The resulting pressure contours and pipe geometry are shown below.
The change to the shape of the tube is not something that would be easy to determine without this tool. It is very easy to use and will allow users to quickly optimize the geometry of their designs.
As you can see, this new capability allows one to quickly optimize flowpath shapes to accomplish optimization objectives. Hopefully you have found this useful and we encourage you to explore this and other enhancements to Ansys Fluent.
Eric Miller, Bruce Crawford, Valerio Viti & Marisa Melchiorre
Description:
In this episode your host and Co-Founder of PADT, Eric Miller is joined by Senior Application Engineer Bruce Crawford and Aerospace & Defense Lead Valerio Viti from Ansys to discuss an area of simulation that has seen a lot of growth and interest over the past few years, hypersonics.
Additionally, Ansys Product Marketing Manager Marisa Melchiorre stops by to provide an introduction to Ansys Level Up 2.0, the latest in virtual engineering simulation conferences. You can learn more and register for this event for free here: https://bit.ly/3uIliGy
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!
When we applied for a NASA Small Business Technology Transfer (STTR) grant with Arizona State University in 2018 we had high hopes around that the idea of developing simulation and manufacturing techniques that would allow engineers to mimic structures found in Nature. Today’s win of a rare Phase III grant from NASA exceeded those hopes and further showed the space agencies’ interest in the research that PADT, ASU, and now Penn State are engaged in.
Inspired by the research of former PADT engineer and now ASU professor, Dr. Dhruv Bhate, the idea was to take a look at how nature uses repeating structures and responses to loads to optimize structures and to use 3D Printing as a way to create the derived shapes, growing geometry just as nature does. That Phase I was received well and led to a Phase II grant in 2019 to dig specifically into lattice structures. In addition to that work was the development of a topological optimization tool that could look at multiple types of loads and create aperiodic lattice topologies.
Researchers at NASA like those results enough to then grant PADT a Phase III project to further the development of the optimization tool and to connect it to a fluid-thermal optimization tool developed at Penn State under a separate NASA project. The study is called “Thermo-Fluid and Structural Design Optimization for Thermal Management” and it will look at creating structures that are strong, light weight, and have the thermal performance required for difficult launch and space-based missions.
You can read more in the press release below or here: PDF | HTML.
We are exceptionally proud of all three phases of this project because they show:
PADT’s ability to work with academia for R&D that results in useful tools
Our deep and broad understanding of simulation across physics
How our unique expertise in Additive Manufacturing can be combined with our simulation knowledge to turn theory into practical hardware.
If you have needs in any of these areas or are just looking for a strong R&D partner that can help make your innovation work, reach out to PADT.
Press Release
NASA Awards PADT and Penn State University a $375,000 Phase III STTR Research Grant
The Grant is a Continuation of PADT’s Topology Optimization Research, Which Will Fund “Thermo-Fluid and Structural Design Optimization for Thermal Management”
TEMPE, Ariz., September xx, 2021 ─ In a move that acknowledges its excellence and expertise in R&D for numerical simulation and 3D printing, PADT today announced NASA has awarded a $375,000 Phase III Small Business Technology Transfer (STTR) grant for PADT to collaborate with Penn State University. The partners will expand research into thermo-fluid and structural design optimization to provide engineers who design next generation launch and space crafts with better ways to design more robust and efficient structures that experience loading fluids, forces, vibration, and temperatures.
The Phase III STTR grant is a continuation of the original $127,000 Phase I and $755,000 Phase II grants awarded to PADT and ASU’s Ira A. Fulton Schools of Engineering in August 2018 and December 2019 respectively. This is PADT’s 17thSTTR/SBIR grant since the company was founded in 1994.
“Furthering our research in simulation and 3D printing for topology optimization and thermal management is critical to the future of aerospace development,” said Alex Grishin, Ph.D., consulting engineer, PADT. “This Phase III award underscores how valuable NASA found the work we did earlier with ASU and signals their desire to have PADT work with other universities to transform it into a tool that engineers can use to design better launch and space-based structures.”
The objective of the joint effort between PADT and Penn State University is to successfully demonstrate the integration of 3D data output from Penn State Mechanical Engineering Experimental and Computational Convection Laboratory’s (ExCCL) thermo-fluid optimization code, developed under a NASA Aeronautics Fellowship grant, into PADT’s topology optimization tool. The latter was developed by PADT under the STTR Phase II contract.
In Phase II, PADT partnered with Arizona State University (ASU) to develop and test a novel shape optimization tool that used a unique methodology for topological optimization, taking both the thermal and stress response of a part into account. 3D printing was also used to create the geometry produced by the optimization approach. Phase III will connect PADT’s tool to Penn State’s tool, which uses genetic algorithms to better handle the optimization found in thermo-fluid problems.
“Taking our tool and connecting it with the optimization capability that Penn State developed has the potential to benefit aerospace design engineers worldwide,” said Tyler Shaw, PhD, PADT’s VP of Engineering and the leader of the group responsible for this work. “This project will take the joint research one step closer to delivering on an optimization approach that, just as in nature, takes into account all loads, regardless of physics.”
The ultimate goal of the project is to continue research with internal and government funding to create a commercial product that engineers can use as an alternate way to optimize the shape of structures that see loading from multiple physics.
To learn more about PADT and its advanced capabilities, please visit www.padtinc.com.
About Phoenix Analysis and Design Technologies
Phoenix Analysis and Design Technologies, Inc. (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 80 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 www.PADTINC.com.
Engineering exploration via simulation is virtually risk free because engineers are no longer bound to an expensive and time-consuming prototype-test-redesign cycle. New design ideas can be virtually evaluated in hours, not weeks, freeing up time to optimize the best design candidates or develop moonshot ideas that redefine markets.
Ansys 2021 R2 continues to expand geometry capabilities and ease of use for every engineer to unlock innovation and increase productivity throughout the product development process. In addition, every analyst can also benefit from Ansys Discovery’s geometry modeling workflows for model prep for simulation.
Join PADT’s Application Engineer and geometry/meshing expert Robert McCathren to learn how you can leverage SpaceClaim’s improvements in Ansys 2021 R2 including:
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!
In this episode your host and Co-Founder of PADT, Eric Miller is joined by PADT’s Senior Application Engineer and fluids expert Sina Ghods for a look at what’s new for fluid simulation in Ansys 2021 R2.
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!
Ansys computational fluid dynamics (CFD) products are for engineers who need to make better, faster decisions. CFD simulation products have been validated and are highly regarded for their superior computing power and accurate results. Reduce your development time and efforts while improving performance and safety.
With Ansys 2021 R2 comes a variety of features for improved workflows and more advanced simulations. Experience up to 5X speed ups for high-speed flows to Mach 30 and above, with improved treatment of reaction sources in the density-based solver. Discover embedded best practices in the automated mesh adaption setup for combustion and multiphase applications, resulting in cell count reductions of up to 70%.
Join PADT’s Senior Application Engineer and fluids expert Sina Ghods for an overview of what’s new in this latest release, including enhancements made to:
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!
In this episode your host and Co-Founder of PADT, Eric Miller is joined by PADT’s IT Software Support Engineer, Ahmed Fayad to discuss common support questions he frequently receives, along with best practices for avoiding issues and finding solutions within Ansys simulation software.
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!
Ansys Mechanical delivers features to enable faster simulations, easier workflows, journaling, scripting and product integrations that offer more solver capabilities. The Ansys finite element solvers enable a breadth and depth of capabilities unmatched by anyone in the world of computer-aided simulation.
In 2021 R2, Structures products continue to deliver new features that enable flexibility, robustness and efficiency. The integration of products through Ansys Workbench enables users to leverage additional technology to broaden their scope of simulation.
Join PADT’s Application Engineer Robert McCathren to discover the new features that have been added to Ansys Mechanical in the second webinar covering the 2021 R2 release. This presentation focuses on updates regarding:
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!
In this episode your host and Co-Founder of PADT, Eric Miller is joined by PADT’s application engineer and high frequency electronics expert, Aleksandr Gafarov for a look at what’s new for this product offering in Ansys 2021 R2.
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!
Ansys HFSS is a 3D electromagnetic (EM) simulation software for designing and simulating high-frequency electronic products such as antennas, antenna arrays, RF or microwave components, high-speed interconnects, filters, connectors, IC packages and printed circuit boards. Engineers worldwide use Ansys HFSS software to design high-frequency, high-speed electronics found in communications systems, advanced driver assistance systems (ADAS), satellites, and internet-of-things (IoT) products.
In Ansys 2021 R2, Ansys HFSS continues to deliver groundbreaking technologies to address 3D IC package design challenges as well as advancements in 5G and autonomous simulation.
Join PADT’s Electronics Application Engineer and high frequency (HF) simulation expert Aleksandr Gafarov for a look at the latest enhancements made to Ansys HFSS, as well as other HF tools in Ansys 2021 R2. This includes an in-depth look at updates made for:
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!
PADT’s Kang Li shows how Ansys Maxwell can be driven by Ansys OptiSLang to optimize the design of a magnetic gear. This is a great example of connecting an Ansys solver to OptiSLang.
Eric Miller, John Zinn, Alexander Wischnewski & Filippo Parravicini
Description:
In this episode your host and Co-Founder of PADT, Eric Miller is joined by participants of the recent Ansys Simulation Race as part of the Indy Autonomous Challenge (IAC).
Before university teams from around the globe compete in the IAC race currently scheduled for October 2021, they first had to prove their software in the virtual world at the Ansys IAC Simulation Race.
Once the racecar software controllers of the teams were submitted, Ansys conducted an entirely virtual race consisting of qualifying rounds and a final race. Ansys awarded the winning team a $100,000 prize and the runner up a $50,000 prize.
Listen to learn more about this exciting showcase for the capabilities of Ansys autonomous technology.
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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