|Published on:||June 29th, 2020|
|With:||Eric Miller & Josh Stout|
In this episode your host and Co-Founder of PADT, Eric Miller is joined by PADT’s systems application & support engineer Josh Stout to look at the optimization tool optiSLang. This tool helps automate simulation and optimization activities across various solution areas, such as autonomy, electrification, digital twins, and more, as well as how it enables users to capitalize on the benefits of enterprise simulation management.
If you would like to learn more, you can view the product brochure here: https://www.ansys.com/-/media/ansys/corporate/resourcelibrary/brochure/optislang-brochure.pdf.
If you have any questions, comments, or would like to suggest a topic for the next episode, shoot us an email at email@example.com we would love to hear from you!
Taking risks attempting to capture design intent at the end of the process requires a lot of post-processing (coloring, assemblies, a mix of technologies, etc.) – when its too time consuming, expensive and late to make changes or correct errors. Stratasys PolyJet 3D printing technology is developed to elevate designs by realizing ideas more quickly and more accurately and taking color copies to the next level.
By putting realistic models in a designer’s hands earlier in the process, companies can promote better decisions and a superior final product. Now, with the Stratasys J8 Series, the same is true for prototypes. This tried and tested technology simplifies the entire design process, streamlining workflows so you can spend more time on what matters –creating, refining, and designing the best product possible.
PADT is excited to introduce the new Stratasys J826 3D printer
Based on J850 technology, the J826 supplies the same end-to-end solution for the design process and ultra-realistic simulation at a lower price point.
Better communicate design intent and drive more confident results with prototypes that realistically portray an array of design alternatives.
The Stratasys J826 3D Printer is able to deliver realism, shorter time to market, and streamlined application thanks to a variety of unique attributes that set it apart from most other Polyjet printers:
Are you ready to learn how the new Stratasys J826 provides the same quality and accuracy as other J8 series printers at a lower cost?
Provide the requested information via the form linked below and one of PADT’s additive experts will reach out to share more on what makes this new offering so exciting for the enterprise design world.
In the factory of the future automation is king.
Manufacturers can drastically reduce lead times, reduce labor costs, and increase overall efficiency through the use of robotics at several stages in their workflow, each performing a different function. While each function serves a unique purpose specific to the task it will execute, they all utilize an essential component known as End-of-Arm tooling (EOAT).
Traditionally, companies that produce EOAT have used extruded aluminum, or machined aluminum frames, often making them heavy and cumbersome. One manufacturer however, has found a solution to reduce weight without sacrificing strength or durability, using 3D printing.
Download the case study to learn more about additive manufacturing’s place on the factory floor, and how you can use it to eliminate the need for heavy and overly complex parts.
Create parts that are 50% lighter, and designed based on your needs, not limited by your manufacturing process.
PADT is very proud to announce that our new manufacturing facility that uses 3D Printing technology to make production parts in volume, is open for business. When we bought our first Additive Manufacturing machine in 1994 we dreamed of the day when we could have several machines quickly making complete plastic parts in one step. Carbon’s Carbon’s Digital Light Synthesis™ (DLS) was the technology we were waiting for. It is here now, and we are now making real parts with injection molded quality.
We chose to leverage Carbon’s technology because of the three key differentiators in their system:
What every engineer wants: fast, strong, and accurate. And because it is Additive Manufacturing, no tooling is required and shapes that can be created that are impossible to manufacture with traditional methods. This is the promise of 3D Printing for production, and we can’t wait to see what our customers do with it.
Please read the press release below for more details on the opening of our facility.
You can also find more information here:
Now is the time to explore production using Additive Manufacturing. If you have plastic parts that you want to manufacture using 3D Printing, contact Renee Palacios at firstname.lastname@example.org or 480.813.4884.
While wandering through a maze of booths at a recent trade show, I stumbled upon something quite amazing. “A ping pong-playing robot? The world has just changed” explores how sensors, the cloud, and artificial intelligence is leaping forward and making science fiction real.
People talk about automation, mostly with respecte to manufacturing, like it is something that is comming. But “Automation is here and we need to pay attention.” If you don’t understand how computer software, robotics, and sensors are changing every aspect of our lives, odds are you will miss how it will change your business.
Sometimes we run across some great exampls of industry and academia working together and like to share them as examples of win-win partnerships that can move technology forward and give studends a great oportunity. A current Capstone Design Project by students at ASU Polytechnique is a great example. It is also an early exmple of what can be done at the brand new Additive Manufacturing Center that was recently opened at the campus.
I’ll let ASU Mecanical Enginering Systems student Dean McBride tell you in his own words:
Orbital ATK in Chandler currently utilizes two Stratasys Dimension SST 1200es printers to prototype various parts with. These printers print on parts trays, which must be removed and re-inserted into the printer to start new prints. Wanting to increase process efficiency, Orbital had the desire of automating this 3D printing process during times when employees are not present to run the printers. After the idea was born, Orbital presented this project to ASU Polytechnic as a potential senior capstone design project. Shortly after, an ambitious team was assembled to take on the project.
Numerous iterations of the engineering design process took place, and the team finally arrived at a final solution. This solution is a Cartesian style robot, meaning the robot moves in linear motions, similar to the 1200es printer itself. The mechanical frame and structure of the robot have been mostly assembled at this point. Once assembly is achieved, the team will focus their efforts on the electrical system of the robot, as well as software coding of the micro-controller control system. The team will be working to fine tune all aspects of the system until early May when the school semester ends. The final goal of this project is to automate at least two complete print cycles without human interaction.
Here is a picture of the team with the robot they are building along side the Stratasys FDM printer they are automating.
Manufacturing is about to go through a major revolution, one that will have impact around the world. A new generation of automation will be changing the way things are made. In “The next revolution in manufacturing is full automation” I take a look at what it all means.
How do you figure out when and why a product is failing? When the failure is due to repetitive operation the only practical way is to build a machine that operates the product over and over again. Designing, building, and running this type of device is one of the many services that PADT offers its customers.
The video below is an example of how PADT’s Medical Device team developed an automated text fixture for a customer that needed to understand the failure mechanisms of a biopsy device. The fixture was designed to operate the device, repeating field operations, and capture behavior over time with the goal of capture which components failed, the nature of each failure, and the nature of each failure.
The apparatus repeats four operations that constitute one operation of the device. Video is used with a counter to determine when a failure occurred and how. The project brought together test, controls, and mechanical design engineers. It also utilized PADT’s in-house 3D Printing and machining capability.
This is also a perfect example of how a customer can hand over an entire project that they need done, but don’t have the resources to do in-house. PADT’s team created the test specification, designed the hardware, conducted the tests, and delivered actionable information to the customer.
If you have a project you do not have the resources to complete in-house, consider having our engineers take a look at it to see how we can help.
There are times when you want to study the effects of varying parameters. If you have an existing MAPDL script that is parameterized, the following procedure will allow you to easily run many variations in an organized manner.
Let’s assume a parameterized MAPDL macro called build_solve that does something you want to simulate many times and has 2 variables called power and scale which are set with argument 1 and 2 respectively. Running this macro with the classic interface, with power=30 and scale=2.5 would look like this:
Next, create a MAPDL macro to launch all of the simulations. This script could be named control.mac. The first thing to do here is to create arrays of your parameters and assign values to them. This example will vary power and scale. Here are the arrays of values that will be passed to build_solve:
Most of the control.mac commands will be put inside of nested *do loops. There will be a *do loop for each of parameters being varied.
Next, use *cfopen to set up the arguments to be passed to build_solve. Each time through the *do loops will create a new run1.mac
One of the key features of this approach is to run anywhere and build directories below the working directory. Use the /inquire command to store the current directory name.
Use *cfopen to create a string that will be used for the directory name. By using the variables as part of the string, the directories will have unique names. A time or date stamp could also be included in this string. This macro is executed immediately to create the string dirnam for use in the commands subsequently.
Eventually, the resulting directory structure will look something like the image below. Each directory will contain a separate simulation with the arguments of power and scale set respectively.
The last *cfopen creates a windows batch file which will (when executed)
Create the new directory
Copy all of the macro files from the working directory into the new directory (including run1.mac)
Change into the new directory using CD
Launch ansys in batch mode, in this case using a gpu and 12 cpus, using the run1.mac input and outputting to f.out
Change back to the working directory (ready to do it all again)
The code for the windows batch file is:
COPY *.mac "%C\%S"
"C:\Program Files\ANSYS Inc\v150\ansys\bin\winx64\ansys150" -b -acc nvidia -np 12 -i run1.mac -o f.out
The last step is to run the windows batch file. /sys is used to make this system call. If the simulation is not well parallelized and you have enough licenses available, run the simulations in low priority mode immediately. This will launch all of your simulations in parallel:
/sys,start /b /low rfile.bat
If the model is well parallelized (in other words, it will use your system’s gpu/cpus/RAM efficiently) or you only have 1 license available, launch the batch files in high priority mode and use the /wait option which will insure that windows waits for the job to finish before launching the next simulation.
/sys,start /b /high /wait rfile.bat
You can download and view the examples control.mac and build_solve.mac from this zip file: build_solve-control-macros.zip