Digital Engineering 24/7

Helping design and engineering professionals discover, evaluate and specify technologies and processes that shorten the design cycle and enable success.

3D Printing Software uses Artificial Intelligence for Nesting

This new technology is used to ensure an even arrangement of parts in the build space during nesting.

3D Printing Software uses Artificial Intelligence for Nesting
Source: CoreTechnologie
The new nesting function of the renowned 4D_Additive software from CoreTechnologie uses artificial intelligence (AI) for the first time to automate intelligent behavior and machine learning. Image courtesy of CoreTechnologie.

By DE Editors  

December 16, 2020

The new version of the 3D printing Software 4D_Additive uses artificial intelligence algorithms to achieve an optimal heat distribution. This new technology is used to ensure an even arrangement of parts in the build space during nesting.

The new nesting function of the renowned 4D_Additive software from CoreTechnologie uses artificial intelligence (AI) for the first time to automate intelligent behavior and machine learning. The new technology simulates certain human decision-making structures based on the programming and by this means the computer independently processes complex tasks in the area of so called nesting.

Optimized Component Nesting

With its new "pack and optimize" strategy, the nesting module of the latest 4D_Additive software version is able to ensure both maximum filling of the installation space and even distribution of the mass to be printed, thus ensuring the most constant possible slice surfaces. The advanced program uses AI technology and imitates the behavior of an experienced user by automatically filling empty areas in the packaging space after pre-positioning. This has the advantage that even build spaces that are not fully loaded are filled evenly and without so-called heat nests. The printing results are maximally optimized by the even distribution of the components.

Intelligent Additional Functions

In addition to intelligent nesting, further functions are available to optimize heat distribution within the components. An analysis to determine so-called massive zones shows problematic areas with large material volumes and displayes these zones graphically in a highly visible manner. These zones then can be hollowed out with a few mouse clicks using the hollow and lattice functions and, if necessary, reinforced with an internal support structure. To remove powder from the inside of the hollowed parts, holes and the appropriate lids can be created automatically.

For the preparation of 3D printing data, the 4D_Additive tool has CAD data interfaces for all B-Rep native and standard formats as well as the common 3D printing formats such as STL and 3mf.

Further information on the new 4D_Additive software version is available here. 

Sources: Press materials received from the company and additional information gleaned from the company’s website.

 

More about CoreTechnologie

CT CoreTechnologie, headquartered in Frankfurt, Germany, with locations in the USA, Japan, India, France, Italy, and Japan. CT is the leading provider of 3D Computer Aided Design (CAD) translation software known as 3D_Evolution® (Conversion,…

Latest in CoreTechnologie

Latest in 3D Printing

About DE Editors

DE Editors

DE's editors contribute news and new product announcements to Digital Engineering. Press releases may be sent to them via [email protected].

Follow DE
on Facebook
on Linkedin

Related Topics

Simulate   Robotics   Additive Manufacturing   3D Printing   Products   3D Printing   Artificial Intelligence AI   CoreTechnologie   Machine Learning   Software   All topics
 

Subscribe

Subscribe to our FREE magazine, FREE email newsletters or both!

Join over 90,000 engineering professionals who get fresh engineering news as soon as it is published.

Subscribe today

 
 

From our Sponsors

Meltio Takes Metal Additive to the Next Level
Meltio's DED technology enables industries to tailor and customize their solutions to create & repair metal parts.
Easing the Transition from ETO to CTO with Configuration Lifecycle Management
Manufacturers are discovering that the Configure-to-Order (CTO) model provides significant benefits when it comes to customization.
Siemens + Altair = The Next Chapter in Design and Simulation
With its acquisition of Altair, Siemens creates a unified simulation portfolio combining generative design with high-performance computing and AI workflows.