July is usually a non-eventful month but this year we have a couple of special webinars and the debut of a 3D Printer that many of us have been waiting a long time to get our hands on. So take a look at what we have planned and what we did in June.
July 17: ACTE – AZ Summer Conference
This annual event is the place where Educators go in Arizona to learn about technology. The Association for Career Technical Education of Arizona hosts this annual gathering of everyone involved in career and technical education. PADT will have a booth and we will be talking about the power of 3D Printing in the Classroom.
Stratasys J750 Road Show See the First Practical Color 3D Printer
Stratasys recently released the most advanced PolyJet 3D Printer on the market. The J750 promises to be a game changer by printing complex parts with diverse properties quickly while minimizing post processing time. See the spectacular full-color 3D printed models ranging from lifelike prototypes to lifesaving surgical-planning models, and comprehensive teaching aids to customized manufacturing tools.
Check out the newest 3D Printing Technology
Speak directly with Additive Manufacturing experts
Hear how other companies have implemented 3D Printing
We have several great Webinars on tap for June. All PADT webinars are recorded, so even if you can’t make the specified time register and we will send you a link to the recording.
Wednesday, July 20, 2016 – 12:00 PM AZ/PDT, 1:00 PM MDT
ANSYS Solutions for Electric Machine Design Register
Friday, July 22, 2016 – 112:00 PM AZ/PDT, 1:00 PM MDT
ANSYS Solutions for Electric Machine Design – Encore Register
TBD in July
Webinars on ANSYS AIM
Watch this space for the date and registration link.
June Events in Review
Not much happened the first part of the month, then in the last two weeks we packed it in. Read below to see what our team was up to.
Every year the Utah Technology Council has a breakfast focused on “The Future of Technology in Utah.” This year Governor Gary Herbert was able to participate. Lots of great interaction and we can share that the future of technology looks bright.
The Colorado space community showed up in force for this year’s Jefferson County Aerospace & Defense Small Business Industry Day. Norm and James were there talking with customers and many people interested in learning about real world applications for 3D Printing in Aerospace.
Our most far flung event for the month was PADT’s David Mastel participating in the Twin Cities ANSYS User Meeting put on by Epsilon FEA. Hosted by current valued partner and former PADT employee Rod Scholl, these meetings are always well attended. David was able to share our thoughts on High Performance Computing and answer some great questions on how to wring that last ounce of performance out of your compute hardware.
The Committee aims to meet once a month, our second meeting occurs Monday, July 11 2016 at the ASU Polytechnic Campus and is open to anyone in Arizona that works in Additive Manufacturing and has an interest in promoting its growth statewide through collaboration. For more info, connect with me on LinkedIn or send a note to email@example.com and cite this blog post.
PADT’s Norman Stucker joins Nathan Morimitsu from Manufacturer’s Edge to discuss the current and future state of manufacturing in Colorado. Norman speaks to the impact of 3D Printing and how it is changing manufacturing. It is a great discussion that looks beyond the hype and shares where Additive Manufacturing is today and how it is being applied in the real world.
We all spend time trying to figure out what the other guy is really up to, second guessing requests for information and crafting responses to simple questions. In “The assumption game: on wasting time second guessing” I expose some of my own failures in this area and how I try and stop wasting time second guessing and get back to getting things gone.
Making a product a smart and connected device requires a lot of planning and an understanding of how Internet of Things devices differ. In “HOW TO TURN YOUR IOT IDEA INTO A PRODUCT” I review the key steps and offer suggestions to make for a more successful design process.
Have you ever looked at the mechanical properties in an FDM material datasheet (one example shown below for Stratasys ULTEM-9085) and wondered why properties were prescribed in the non-traditional manner of XZ and ZX orientation? You may also have wondered, as I did, whatever happened to the XY orientation and why its values were not reported? The short (and unfortunate) answer is you may as well ignore the numbers in the datasheet. The longer answer follows in this blog post.
Mesostructure has a First Order Effect on FDM Properties
In the context of FDM, mesostructure is the term used to describe structural detail at the level of individual filaments. And as we show below, it is the most dominant effect in properties.
Consider this simple experiment we did a few months ago: we re-created the geometry used in the tensile test specimens reported in the datasheets and printed them on our Fortus 400mc 3D printer with ULTEM-9085. While we kept layer thickness identical throughout the experiment (0.010″), we modified the number of contours: from the default 1-contour to 10-contours, in 4 steps shown in the curves below. We used a 0.020″ value for both contour and raster widths. Each of these samples was tested mechanically on an INSTRON 8801 under tension at a displacement rate of 5mm/min.
As the figure below shows, the identical geometry had significantly different load-displacement response – as the number of contours grew, the sample grew stiffer. The calculated modulii were in the range of 180-240 kpsi. These values are lower than those reported in datasheets, but closer to published values in work done by Bagsik et al (211-303 kpsi); datasheets do not specify the meso-structure used to construct the part (number of contours, contour and raster widths etc.). Further, it is possible to modify process parameters to optimize for a certain outcome: for example, as suggested by the graph below, an all-contour design is likely to have the highest stiffness when loaded in tension.
Can we Borrow Ideas from Micromechanics Theory?
The above result is not surprising – the more interesting question is, could we have predicted it? While this is not a composite material, I wondered if I could, in my model, separate the contours that run along the boundary from the raster, and identify each as it’s own “material” with unique properties (Er and Ec). Doing this allows us to apply the Rule of Mixtures and derive an effective property. For the figure below, the effective modulus Eeff becomes:
Eeff = f.Ec + (1-f).Er
where f represents the cross-sectional area fraction of the contours.
With four data points in the curve above, I was able to use two of those data points to solve the above equation simultaneously and derive Er and Ec as follows:
Er = 182596 psi Ec = 305776 psi
Now the question became: how predictive are these values of experimentally observed stiffness for other combinations of raster and contours? In a preliminary evaluation for two other cases, the results look promising.
So What About the Orientation in Datasheets?
Below is a typical image showing the different orientations data are typically attributed to. From our micromechanics argument above, the orientation is not the correct way to look at this data. The more pertinent question is: what is the mesostructure of the load-bearing cross-section? And the answer to the question I posed at the start, as to why the XY values are not typically reported, is apparent if you look at the image below closely and imagine the XZ and XY samples being tested under tension. You will see that from the perspective of the load-bearing cross-section, XY and XZ effectively have the similar (not the same) mesostructure at the load-bearing cross-sectional area, but with a different distribution of contours and rasters – these are NOT different orientations in the conventional X-Y-Z sense that we as users of 3D printers are familiar with.
The point of this preliminary work is not to propose a new way to model FDM structures using the Rule of Mixtures, but to emphasize the significance of the role of the mesostructure on mechanical properties. FDM mesostructure determines properties, and is not just an annoying second order effect. While property numbers from datasheets may serve as useful insights for qualitative, comparative purposes, the numbers are not extendable beyond the specific process conditions and geometry used in the testing. As such, any attempts to model FDM structure that do not account for the mesostructure are not valid, and unlikely to be accurate. To be fair to the creators of FDM datasheets, it is worth noting that the disclaimers at the bottom of these datasheets typically do inform the user that these numbers “should not be used for design specifications or quality control purposes.”
If you would like to learn more and discuss this, and other ideas in the modeling of FDM, tune in to my webinar on June 28, 2016 at 11am Eastern using the link here, or read more of my posts on this subject below. If you are reading this post after that date, drop us a line at firstname.lastname@example.org and cite this post, or connect with me directly on LinkedIn.
Every once in the while you need to get out of the office and run your co-workers off a track. For whatever reason, when members of our Sales and Support department put on some helmets and strapped themselves in to electric racing karts, they got very competitive.
The people who sell and support 3D Printers and Simulation software left their Stratasys and ANSYS brochures at home and headed to the Octane Raceway in Scottsdale, AZ for some fun and decompression. They have been working hard all year making customers happy, and they needed a way unwind. So the drove in circles.
In this team building fun was had by all. Only a few curse words were exchanged. Mario was asked to get a more subtle shirt.
The only disappointment is that the winner of the event was Oren Raz… most of us back at the office were pulling for Clinton Smith to take the trophy.
One of the most dramatic impacts of 3D printing on design and manufacturing is with injection molding. Companies such as Seuffer, Unilever, Arad Group and Whale report significant savings in molding costs and production time by 3D printing injection molds to test designs before mass production and produce small quantities of custom parts.
Learn more by viewing this 60-minute webinar as Gil Robinson, Stratasys senior application engineer, explains the what, why and how of 3D printed injection molding.
“Why are there so many different software solutions in Additive Manufacturing and which ones do I really need?“
This was a question I was asked at lunch during the recently concluded RAPID 3D printing conference by a manager at an aerospace company. I gave her my thoughts as I was stuffing down my very average panini, but the question lingered on long after the conference was over – several weeks later, I decided to expand on my response in this blog post.
There are over 25 software solutions available (scheduling software for service technicians, etc.) and being used for different aspects of Additive Manufacturing (AM). To answer the question above, I found it best to classify these solutions into four main categories based on their purpose, and allow sub-categories to emerge as appropriate. This classification is shown in Figure 1 below – and each of the 7 sub-categories are discussed in more detail in this post.
1. Design Modeler
You need this if you intend to create or modify designs
Most designs are created in CAD software such as SOLIDWorks, CATIA and SpaceClaim (now ANSYS SpaceClaim). These have been in use long before the more recent rise in interest in AM and most companies have access to some CAD software internally already. Wikipedia has a comparison of different CAD software that is a good starting point to get a sense of the wide range of CAD solutions out there.
2. Build Preparation
You need this if you plan on using any AM technology yourself (as opposed to sending your designs outside for manufacturing)
Once you have a CAD file, you need to ensure you get the best print possible with the printer you have available. Most equipment suppliers will provide associated software with their machines that enable this. Stand-alone software packages do exist, such as the one developed by Materialise called Magics, which is a preferred solution for Stereolithography (SLA) and metal powder bed fusion in particular – some of the features of Magics are shown in the video below.
Scanning & File Transfer
3. Geometry Repair
You need this if you deal with low-quality geometries – either from scans or since you work with customers with poor CAD generation capabilities
Geomagic Design X is arguably the industry’s most comprehensive reverse engineering software which combines history-based CAD with 3D scan data processing so you can create feature-based, editable solid models compatible with your existing CAD software. If you are using ANSYS, their SpaceClaim has a powerful repair solution as well, as demonstrated in the video below.
Improving Performance Through Analysis
4. Topology Optimization
You need this if you stand to benefit from designing towards a specific objective like reducing mass, increasing stiffness etc. such as the control-arm shown in Figure 2
Of all the ways design freedom can be meaningfully exploited, topology optimization is arguably the most promising. The ability to now bring analysis up-front in the design cycle and design towards a certain objective (such as maximizing stiffness-to-weight) is compelling, particularly for high performance, material usage sensitive applications like aerospace. The most visible commercial solutions in the AM space come from Altair: with their Optistruct solution (for advanced users) and SolidThinking Inspire (which is a more user-friendly solution that uses Altair’s solver). ANSYS and Autodesk 360 Inventor also offer optimization solutions. A complete list, including freeware, can be availed of at this link.
5. Lattice Generation
You need this if you wish to take advantage of cellular/lattice structure properties for applications like such as lightweight structural panels, energy absorption devices, thermal insulation as well as medical applications like porous implants with optimum bone integration and stiffness and scaffolds for tissue engineering.
Broadly speaking, there are 3 different approaches that have been taken to lattice design software:
I will cover the differences between these approaches in detail in a future blog post. A general guideline is that the generative design approach taken by Autodesk’s Within is well suited to medical applications, while Lattice generation through topology optimization seems to be a sensible next step for those that are already performing topology optimization, as is the case with most aerospace companies pursuing AM technology. The infill/conformal approach is limiting in that it does not enable optimization of lattice structures in response to an objective function and typically involves a-priori definition of a lattice density and type which cannot then be modified locally. This is a fast evolving field – between new software and updates to existing ones, there is a new release on an almost quarterly, if not monthly basis – some recent examples are nTopology and the open source IntraLattice.
Below is a short video demo of Autodesk’s Within:
You need this if you do either topology optimization or lattice design, or need it for part performance simulation
Basic mechanical FE analysis solvers are integrated into most topology optimization and lattice generation software. For topology optimization, the digitally represented part at the end of the optimization typically has jarring surfaces that are smoothed and then need to be reanalyzed to ensure that the design changes have not shifted the part’s performance outside the required window. Beyond topology optimization & lattice design, analysis has a major role to play in simulating performance – this is also true for those seeking to compare performance between traditionally manufactured and 3D printed parts. The key challenge is the availability of valid constitutive and failure material models for AM, which needs to be sourced through independent testing, from the Senvol database or from publications.
7. Process Simulation
You need this if you would like to simulate the actual process to allow for improved part and process parameter selection, or to assess how changes in parameters influence part behavior
The real benefit for process simulation has been seen for metal AM. In this space, there are broadly speaking two approaches: simulating at the level of the part, or at the level of the powder.
Part Level Simulation: This involves either the use of stand-alone AM-specific solutions like 3DSIM and Pan Computing (acquired by Autodesk in March 2016), or the use of commercially available FE software such as ANSYS & ABAQUS. The focus of these efforts is on intelligent support design, accounting for residual stresses and part distortion, and simulating thermal gradients in the part during the process. ANSYS recently announced a new effort with the University of Pittsburgh in this regard.
Powder Level Simulation: R&D efforts in this space are led by Lawrence Livermore National Labs (LLNL) and the focus here is on fundamental understanding to explain observed defects and also to enable process optimization to accelerate new materials and process research
Part level simulation is of great interest for companies seeking to go down a production route with metal AM. In particular there is a need to predict part distortion and correct for it in the design – this distortion can be unacceptable in many geometries – one such example is shown in the Pan Computing (now Autodesk) video below.
A Note on Convergence
Some companies have ownership of more than one aspect of the 7 categories represented above, and are seeking to converge them either through enabling smooth handshakes or truly integrate them into one platform. In fact, Stratasys announced their GrabCAD solution at the RAPID conference, which aims to do some of this (minus the analysis aspects, and only limited to their printers at the moment – all of which are for polymers only). Companies like Autodesk, Dassault Systemes and ANSYS have many elements of the 7 software solutions listed above and while it is not clear what level of convergence they have in mind, all have recognized the potential for a solution that can address the AM design community’s needs. Autodesk for example, has in the past 2 years acquired Within (for lattice generation), netfabb (for build preparation) and Pan Computing (for simulation), to go with their existing design suite.
Conclusion: So what do I need again?
What you need depends primarily on what you are using AM technologies for. I recommend the following approach:
Identify which of the 4 main categories apply to you
Enumerate existing capabilities: This is a simple task of listing the software you have access to already that have capabilities described in the sub-categories
Assess gaps in software relative to meeting requirements
Develop an efficient road-map to get there: be aware that some software only make sense (or are available) for certain processes
In the end, one of the things AM enables is design freedom, and to quote the novelist Toni Morrison: “Freedom is not having no responsibilities; it is choosing the ones you want.” AT PADT, we work with design and analysis software as well as AM machines on a daily basis and would love to discuss choosing the appropriate software solutions for your needs in greater detail. Send us a note at email@example.com and cite this blog post, or contact me directly on LinkedIn. .
Western Technology is a manufacturer of specialty lighting solutions that cater to a variety of highly specialized industries such as aviation, oil and gas, and maritime. Their products are used in a variety of environments making it important that the design is both versatile and functional.
In their Utah office, they have been successfully utilizing a Stratasys PolyJet 3D Printer to create polyurethane molds. By using 3D printed molds, they have been able to save both time and money over traditional manufacturing methods.
Western Technology’s 3D Printed Toggle Mold
“Below is a pictorial of how we’ve used our new 3D printer to develop and create polyurethane parts. The parts we are producing in this mold are used to trigger a magnetic sensor inside a sealed aluminum box. Each part has a magnet and aluminum insert cast inside.” Lyal Christensen at Western Technology
The mold was printed using a Stratasys Objet 500 Connex 1 printer in a Vero Blue material (standard plastic). This is the final result after support material has been removed.
The mold is comprised of two halves that each have 3 different parts to create this Polyurethane mold. Below one side is shown in an un-assembled view.
Steel pins are press fit into the 3D printed part with ease to help with locating the magnets in the correct location. Also you can see that the part has a gloss finish to it. The parts were printed in the glossy mode which helps in minimizing the amount of support material needed to print the parts.
Inserts and Magnets are added to the mold along with a Urethane mold release agent. The Aluminum inserts are held in the right place by screws that keep the inserts suspended so that the Urethane can engulf all sides of it.
The clamped mold then has the Urethane fed into it which is poured at room temperature. Once all of the cavities are filled, the mold is left to cure at room temperature for just under one hour. Using this technique, they are able to complete 6 or 7 sets per day.
The following morning the screws and the insert bridge are removed.
The mold is pried apart using a flathead screwdriver at specific cutout locations that were printed into the mold. With a simple turn of the wrist, this mold is easily separated.
There is a little bit of flash which can easily be removed. These parts are almost ready for the customer.
The parts are cut away and are ready for de-flashing and finishing.
At Western Technology, Lyal estimates this mold would have cost $2,000+ to manufacture in just man hours. They were able to get 400+ parts out of this mold and are still using it.
If you would like to learn more about how to implement 3D Printing into your processes to save time and money, contact us at firstname.lastname@example.org.
New Mexico is a unique place in culture, beauty and art. It’s also very unique when it comes to the high-tech industry — both in good ways, and in bad. In “Viewpoint: 5 things that make high-tech business in NM unique (for better and worse)” I share some of my thoughts on what makes New Mexico special from a tech business standpoint. This is our first posting for the New Mexico cousin of the Phoenix Business Journal. We hope to do more.
Joining Two of PADT’s Favorite Things: Simulation and 3D Printing
Recent advances in Additive Manufacturing (3D Printing) have removed barriers to manufacturing certain geometry because of constraints in traditional manufacturing methods. Although you can make almost any shape, how do you figure out what shape to make. Using ANSYS products you can apply topological optimization to come up with a free-form shape that best meets your needs, and that can be made with Additive Manufacturing.
A few months ago we presented some background information on how to drive the design of this type of part using ANSYS tools to a few of our customers. It was a well received so we cleaned it up a bit (no guarantee there all the typos are gone) and recorded the presentation. Here it is on YouTube
Let us know what you think and if you have any questions or comments, please contact us.