nCode: Automating Simulation and Test for Durability and Fatigue Prediction

 

Do you perform durability analysis and fatigue predictions? nCode might be the perfect fit for you.

nCode is offered by a company called HBM Prenscia. It’s a platform that helps engineers conduct durability analysis and predict fatigue failure.

HBM Prenscia has desktop solutions and web-based (or browser-based) solutions. An expert in this field knows and understands durability analysis and fatigue analysis can set up a templated workflow.

This templated workflow can have many different elements, such as a finite element model input, a spreadsheet input with custom calculations, or streams of test data, but you define all these inputs to the workflow. Then you define how they’re going to be connected,  processed, and then what the results ultimately are. These calculations are then saved off as an app.

That app can then be used by a non-specialist engineer to define the inputs and the finite element model. They can also define what strain gauge data to use or what loading data to use on a time series before initiating the program. Other options include the type of number cores, solvers, and formats you would like to use that can define part of this template. The results are provided after the program runs.

nCode delivers in two innovative ways. First, it standardizes the analysis calculations based on the right inputs. You’re going to have a higher level of quality as a result of the analysis.

Second, it democratizes the use of durability analysis within engineering. One expert will set up the analysis and then non-specialists can go and use it again and again and again.

One other thing of note: HBM Prenscia has a new platform called Aqira that provides these functions through a browser. There is no need for desktop installation, which can further democratize the use of nCode’s capabilities.

We highly recommend nCode for those of you running durability analysis or fatigue predictions. It is one platform that provides solutions for both testing and analysis, reducing the amount of effort and time put into running these functions.

If you have any questions about it, leave a comment below! We’d love to answer your questions.

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