Editor’s Pick: Task-specific access to the systems model 

e-Xstream Engineering's Digimat update includes the use of CT scan data to validate and continuously improve a composite’s microstructure. 

e-Xstream Engineering's e-Xstream Digimat update includes the use of CT scan data to validate and continuously improve a composite’s microstructure. 

New technology in Digital software allows business to simulate 3D printing processes and calculate total cost of producing parts. Image courtesy of e-Xstream Engineering.


e-Xstream Engineering introduces an update to its Digimat software that features the ability to simulate and analyze production costs of polymer-based additive manufacturing parts against conventional processes. The update includes the use of CT scan data to validate and continuously improve a composite’s microstructure. 

e-Xstream Engineering says this new version of Digimat allows an engineer to take a holistic view of part production—including finishing processes—to determine the best method of production. The software can also be used to optimize batch printing, to see if producing parts in parallel using additive manufacturing is a viable solution. 

The company says the update also helps with production planning, by comparing the total cost of ownership of machines, amortizing the costs over the production run. The information is presented in visual form with plots and pie charts, making it easier for the engineer to break down cost estimates further and analyze various scenarios. 

Determine cost estimates and much more with this latest Digimat software update. Image courtesy of e-Xstream Engineering.

CT scan data is part of the analysis process. Manufacturers can now CT scan a part and import the RAW 3D image to build a finite element model of the two-phase microstructure in carbon-reinforced polymer, and to model its behavior. The company says that by embedding validated material models in other engineering tools, a design engineer can perform analyses that account for variations within a manufactured part to reduce material use or avoid points of failure. 

Using this combination of physical measurement and virtual testing also improves the accuracy of Integrated Computational Materials Engineering (ICME) studies when introducing a new material system. The company says the use of CT scan data also helps validate and certify the material model. The CT scan data is also used to refine manually created microstructure models, thus improving the accuracy of future simulations. 

Predicting the material behavior of a CT-scanned microstructure is a computationally intensive process. The company says using only CPUs to analyze the data could take days. Digimat optimizes these processes for GPU technology, allowing tasks to be performed interactively, because the results are produced in minutes. 

There is also a significant speed boost when creating a progressive failure analysis (PFA), making it possible to perform these Camanho model analyses twice as fast. 

This update to Digimat is now available to existing users directly from e-Xstream Engineering or MSC Software, both part of Hexagon's Manufacturing Intelligence division. 

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

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