Categories: Technology

Partnership Between Moldex3D and Xnovo Technology Announced

Moldex3D, a prominent molding simulation software in the industry, has teamed up with Xnovo Technology, a company specializing in advanced X-ray imaging solutions, to introduce an advanced calibration for fiber parameters based on scan experiments. This collaboration aims to provide users with the tools necessary to conduct precise simulations, enhancing the accuracy of their results.

According to Ethan Chiu, the research and development director at CoreTech System, the parent company of Moldex3D, while simulation of fiber orientation is not a new technology, incorporating real-life data can significantly improve the model. He emphasizes the importance of accuracy in today’s manufacturing landscape, particularly with the growing adoption of digital twin concepts by top designers and manufacturers.

Erik Lauridsen, the CEO of Xnovo Technology, expresses pride in supporting Moldex3D users with their advanced X-ray imaging solutions. By leveraging their expertise in 3D imaging and analysis, Xnovo Technology can offer unparalleled 3D fiber orientation characterization with quick turnaround times and exceptional quality.

This joint effort between Moldex3D and Xnovo Technology allows users to perform simulations of 3D fiber orientation using calibrated fiber parameters. This is crucial for accurately defining the anisotropic mechanical strength and managing molding shrinkage in fiber-reinforced components. By integrating Xnovo’s 3D fiber orientation characterization capabilities with Moldex3D’s simulations, users can expect improved accuracy in their analyses. Through the automation of computing iterations using Moldex3D Studio API, the process of aligning digital and physical data is streamlined on a large scale. For further information, interested parties can reach out to [email protected] or [email protected].

The information in this article is sourced from press materials provided by the companies involved, as well as additional details obtained from their websites.

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