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nCode Automation selected as collaborative platform for managing and analyzing test data at Liebherr-Aerospace

HBM nCode, a global leader in providing technology and software products for durability and performance analyses, announced today that nCode Automation has been selected by Liebherr-Aerospace Toulouse SAS as their preferred tool for performing robust and automated analyses. Liebherr-Aerospace, the leading supplier of systems for the aviation industry, produces aviation equipment including flight control and actuation systems, landing gear and air management systems as well as gearboxes for civil and military sectors.

With this software adoption, HBM-nCode and Liebherr-Aerospace are continuing and strengthening their technical partnership. In addition to nCode Automation, Liebherr-Aerospace has also been a long-time user of nCode DesignLife for simulating the life of their equipment to ensure sustainability and nCode GlyphWorks for robust analysis of their test data.

©Liebherr-Aerospace – Altitude chamber at Liebherr-Aerospace Toulouse SAS which is used to simulate pressure conditions that prevail in high altitudes.
nCode Automation enables the five sectors of Liebherr’s Developmental Testing Services to collaborate and analyze data generated by 28 test cells.

Want to learn more about nCode Automation?

Data storage and automated reporting

nCode Automation is a web-based environment for the automated storage, analysis and reporting of engineering data. It is built on robust technology including Java EE to provide a collaborative platform for sharing test data and associated information throughout an organization.

CAE-based fatigue analysis

nCode DesignLife is an up-front design tool that identifies critical locations and calculates realistic fatigue lives from leading finite element (FE) results for both metals and composites. Design engineers can go beyond performing simplified stress analysis and avoid under- or over-designing products by simulating actual loading conditions to avoid costly design changes.

Ready to achieve success through failure prediction?