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In September, Turlif spoke at TEDxTrondheim's Back to Basics. As usual, an inspirational discussion about some of the problems with current 3D modeling software, and modeling with simplified polygons, which lose some of the infinitely fine grain details of natural and real world objects. Turlif together with our team have developed a generalized and holistic approach for accurately modeling complex real world objects called Digital Materialization (DM). Using mathematics and computational power, our approach has promising applications, that go far beyond 3D printing for modeling the real world through software.

 

Be sure to check out the video!

 

 

 

 

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Photosynthesis.  A relatively simple but highly efficient process of plants using sunlight to split water molecules into hydrogen and oxygen, which produces electrons and creates sugars for the plants growth and reproduction. Plants have evolved this process to a near 100% efficiency -- every photon of sunlight is converted to an equal number of electrons.

 

To date, even though the sun is the most abundant source of energy on the planet, humans harvest only a small fraction and convert it into energy.  Researchers at the University of Georgia have found a way to tap into the plants photosynthesis process and capture the electrons before the plant can convert them into sugars.  While this work is still in its infancy they do predict that in the near future it could be possible to power remote sensors or other lower powered portable electronic equipment.

 

But if we imagine beyond this -- what about man made objects that have the intelligence and ability for photosynthesis, such as the vision of the artist Vivien Muller below.  Pretty cool, but let's go another step beyond this. One of the areas where there is much R&D in the 3D printing industry is in material science. And not just to produce better plastics, powered metals and even glass,but to use 3D printers with natural materials and for the creation of meta materials.  Regenerative medicine is certainly pushing the boundaries here, and will stand to make massive changes to in the human existence.  Some researchers are even using 3D printers to produce synthetic meat.  In addition, imagine using this same technology to print synthetic wood, even synthetic trees and plants - a forest.  It will could look exactly like a natural forest (this would be up to the designer of course), with the addition of electrical plugs.

 

 

Far fetched?  Less so then you might think.

 

The possibility of this future is partially what inspired Uformia to develop our new geometric kernel and subsequent tools.  In fact if anyone has seen Turlif speak during the last few years, you have heard these ideas before.

 

So, why all the fuss over the 3D printed gun when we have things like this to discuss?

 

Via Slashdot

 

 

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Apr 29 2013

TED Fellow Skylar Tibbits talks about 4D printing, where the fourth dimension is time. This translates to printed objects that can reshape themselves or self-assemble over time.

 

Think: a printed cube that folds before your eyes, or a printed pipe able to sense the need to expand or contract.

 

 

Via TED

 

 

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Jan 26 2013

Videos!

Posted by: admin | Comment (0)
Tagged in: technology, Rhino

Check out Uformia's new Vimeo page, and the updated Video section of our website.  The newer videos include: Volume Meshes and Microstructure, Vascular Coral Bracelet, Meshup cup, and Turlif's presentation on Engineering Nature.  Also the video from the recent webinar:

 

 

Introduction to Symvol for Rhino Part 1 HD

 

 

 

 

Introduction to Symvol for Rhino Part 2 HD

 

 

 

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Wednesday, 5 December, 2012 9:00 AM - 11:00 AM PST

 

Please join us at this first webinar where our CTO, Turlif Vilbrandt, will demo the new plug-in -Symvol for Rhino.

 

 

The presentation will be broken up into 2 sections:   1) an introduction to Uformia, followed by a theory and overview of Symvol for Rhino;
2) a practical tutorial on using Symvol for Rhino to dynamically model a cell phone case.


The general aspects of true volume modeling and some of the unique features which Symvol for Rhino offers will be presented. The concepts include: creation of constructive relationships, dynamic modification of any aspect or feature of a model, automatic blending, always watertight Boolean operations and modeling, creation of arbitrary micro and/or cellular structures, shelling of any model, repairing, importing and converting meshes to watertight volumes, defining parameters/bookmarks, and swapping datasets and/or references on the fly.


Duration: 1.5 hr. presentation with 30 minutes questions/wrap-up.

 

Attendees must register to attend, and here you can also enter any questions or issues you would like to be covered in the webinar.

 

The session will be recorded and later posted online.

 

Thanks to Rhino for hosting us at their office in Seattle for this webinar.

 

 

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To follow up on the post Fabricating Nature let us consider what we mean by 'man-made' objects. Clearly, they are objects that are produced by human effort through a process of design and fabrication, rather than through a process of evolution and natural growth. But what if we start to blur the distinction between objects that we produce and objects that are produced directly from nature. What if we could produce objects that aren't the clunky things we have now, but ones which appear to have been grown. While it won't change the dictionary definition, it just might change our perception of manufacturing.

One of the ideas that our CTO and joint founder Turlif has mentioned in some of his talks is the idea of a Physical Turing Test. The traditional Turing Test was proposed by Alan Turing as a way of testing for artificial intelligence. Here a machine was said to pass if a human conversing with it in a blind test thought that they were talking with another human being. The idea of the Physical Turing Test is that we test objects against nature. If a human believes that a man-made object was actually made by nature, then the object passes.

An amusing example of this is in the Dilbert cartoon on 3D printing. Here, the 3D printed object was mistaken for the actual character, so physically the object passed the test. While mistaking a constructed object for a human being might seem unlikely, waxworks have always been popular not to mention the field of robotics. In the distant future, who knows – perhaps the traditional Turing test and the physical Turing test will one day need to be combined...

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Nature is unbelievably complex. Animals and humans have evolved in this world without in-built digital systems. Our minds have evolved in ways that allow us to make sense of our environment, so that we can abstract and categorize the things that we encounter and experience. As such, we have an in-built tendency to represent the world in terms of simple, clearly identifiable boundaries of space and objects. When we create objects ourselves, we continue to follow this path without even realizing it. Traditional manufacturing and design assumes that each object, or each independent part of a larger object, is made of a single homogeneous material. This makes human-made objects clearly stand apart from nature. A tree, for example, is not made from a single material and nor does it have 'parts' that are as easily discernible as we would think - if we look up close we can see that roots blend into the trunk, which blends into branches which blend into twigs, which blend into leaves. Our abstractions are useful for recognition and categorization, but they do have limitations when it comes to creating or recreating complex objects like this.

Historically then, we've interacted with nature through powerful but reductive simplifications and approximations - the way we look at it, the way we model it and the way we attempt to reproduce it. Cheap computing power is now extending our capabilities, putting us in a far better position to understand the complexities of nature. We have better control over matter and can design and fabricate a whole new class of human-made objects. These objects offer more localized, dynamic, sustainable and natural interactions with the world. Unfortunately, we've hit a stumbling block. The current generation of digital design and fabrication systems have failed to fully capitalize on the raw computational power that is available to us. We still can't create objects that offer a comparable wealth of detail, complexity and combination of materials that we find in nature. Here is an example of how a typical user might model a watermelon using 3D modeling tools and a real watermelon. There is little to compare other than the rough outside shape. How can we truly represent a slice of watermelon digitally?

Let us take a very basic example, one that is even human made, a glass marble. Marbles are simple children's toys, but how can we exactly model their construction?

The only real 'surface' here is the outer shape, but modelling it with polygons will always leave it faceted. Perhaps we can try to overcome this inaccuracy and using a parametric surface, but can we efficiently represent the minute chips made by numerous games of marbles? Still, a spherical surface won't allow us to define what's inside. Perhaps each of those different colors could be a separate part? If we look closely at the swirls we can see that they don't have sharply defined edges. The colors mix and blend together throughout the interior. Our traditional approach of modelling with surfaces falls apart completely. Our entire approach is wrong because this is a problem that requires real volumes with no neatly defined 'parts'.

Is this a fair example? Would anyone actually want to recreate a watermelon or 3D print a glass marble? Perhaps not, but what about a human organ such as a kidney. That's also a challenging volumetric problem and one that would be of huge benefit if we could design and fabricate them as required.

So, the way we think about the world allows us to make sense of it, but doesn't necessarily let us reproduce it. Existing digital systems have followed our natural way of thinking and have led us to an impasse. They are imprecise and fundamentally incapable of accurately representing real objects. If we want to move forwards, we will need to take a very different approach.

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Aaron Trocola @ Engineering.com wrote this nice piece about how volumetric representations, "models that are not just a 2D surface in 3D space" (a mantra here at Uformia), will help to bring about the end of polygons (at least for manufacturing). He contends, as we do, that volumetric representation allows for more complexity in designs going out to print (too many discrete features can result in a polygonal representation that is too heavy to calculate) and will also bring about multi-material printing.

 

We applaud Aaron's words, and thank him for acknowledging Symvol as a potential software solution towards this end.

 

A note on solids and solid modeling -
While solids used in traditional CAD package today are based on mathematically perfect surfaces and/or patches, they are still collections of 2D surfaces (same as meshes) defined in 3D space (2-manifolds). If the right tools are used and the user is thoughtful and careful about modeling the surface patchwork, the resulting model will be a closed or manifold surface that clearly separates the inside from the outside (in fact meshes can also be used to create a solid object). Unfortunately in practice "solid models" are often not solid as they will have cracks, hanging surfaces and intersections which increase with the complexity of a model. This has given rise to the marketplace of repair tools to fix "solid models".

 

We should also mention that we are not a voxel or discrete based modeler (although we can bring voxel data into our system). Our technology is to voxels what NURBS or parametric solids are to meshes and we are always watertight by default. As well we already offer experimental multi-material modeling inside our API (more about that later).

 

 

Via: Engineering.com

 

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Tuan Tranpham created this matrix showing the current 3D printing world (scanning, software, service bureau and printing) which is correlated with consumer and industrial categories. A nice snapshot of the moment.

 

(Cllick the image to see the larger version.)

 

 

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Uformia collaborated with Lee Cronin and his team at the University of Glasglow to explore the possibilities of using a low-cost 3D printer, the Fab@Home, to build "reactionware": small vessels where chemical reactions can take place. Nature has just published the paper which outines this process.

"By making the vessel itself part of the reaction process, the distinction between the reactor and the reaction becomes very hazy. It's a new way for chemists to think, and it gives us very specific control over reactions because we can continually refine the design of our vessels as required."

 

In time, this could lead to DIY drugstores, where a 3D printer could be used to print medicine.  Imagine that doctors and even individuals could download pre-set recipes or even use a specialized app to have access to a personal drug designer. Certainly there are concerns to be addressed in opening up the process of drug making in this way, but it is also possible that this could revolutionize the health care industry around the world.

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