As a manufacturing technology, 3D printing is only as powerful as the designs that it is used to create. At trade shows, one will hear countless stories about firms that explored additive manufacturing (AM), but as a means of producing traditional parts, the same designs that would be made with CNC machining or injection molding.
It’s only when the infinite geometric complexity possible with 3D printing is fully exploited that the power of AM becomes apparent. Through the implementation of microlattices and organic structures, it’s possible to create shapes that may yield lighter weight and even stronger parts that can only be made with 3D printing.
Creating those designs, however, is no easy task. Most engineers have been trained to create parts for traditional manufacturing methods and may have a hard time breaking old habits. More importantly, many shapes optimized for 3D printing are almost impossible to invent manually simply due to the math involved, as it relates to the forces of physics. And, because CAD software is still catching up to the 3D printing revolution, these tools are only now beginning to be incorporated into existing design software.
One start-up is attempting to make the process of design optimization for 3D printing as easy as it can possibly be, without a dedicated design software or even a knowledge of how this optimization is performed. The firm is called Frustum, and its geometry kernel, Generate, has already caught the attention of some big names—well, one in particular: Siemens.
The Kernel of Generate
“I founded Frustum Article source: http://www.engineering.com/3DPrinting/3DPrintingArticles/ArticleID/13803/Topology-Optimization-for-3D-Printing-Hits-the-Cloud-with-Generate.aspx
