DesignLife by HBK

Warum Predicting fatigue life and ensuring product durability?

DesignLife is a fatigue and durability analysis solution used by simulation engineers, durability specialists, and product development teams to predict the service life of components and structures under real world loading conditions. By leveraging finite element analysis and measured test data, DesignLife helps organizations identify potential failure locations, improve product reliability, reduce physical testing, and accelerate the development

Vorteile

Reduce Reliance on Physical Test: nCode DesignLife allows you to design it right the first time using simulation technology to identify areas of design optimization and improvement.
Reduce Cost and Weight: nCode DesignLife enables you to assess the design and material options that create efficient and effective products.
Standardized Analysis Processes: The standardized analysis process improves consistency and quality.

Besondere Funktionen

Fatigue analysis of seam welds

DesignLife automates seam weld fatigue analysis by identifying welds directly from FE models. It supports fillet, overlap, and laser welds, using stresses from shell and solid FE models or weld forces and displacements to predict weld toe, root, and throat failures.

Fatigue analysis of spot welds

DesignLife enables efficient spot weld fatigue analysis for thin-sheet structures using beam, CWELD, or ACM spot weld representations and is well-suited to vehicle structure durability simulation. Python scripting enables modelling of other joining methods such as rivets or bolts.

Frequency based fatigue analysis

Vibration Fatigue enables fatigue life prediction in the frequency domain, providing a faster and more realistic alternative to time-domain analysis for structures subjected to random vibration loading, such as wind, wave, and rotating machinery applications.

Virtual Strain Gauge and Virtual Sensor

Enables correlation between test and finite element results. Gauges (single or rosette) or displacement sensors may be graphically positioned and oriented on finite models as a post-processing step. Time histories can be directly correlated with your measured strain or displacement data.

Strain-Life (EN) for low-cycle fatigue

Strain-Life (EN) predicts fatigue where local strain governs durability, making it ideal for low-cycle fatigue applications. It supports advanced material models, multiaxial loading, and material property variations due to mean stress and temperature.

Anwendungen in der Praxis

Select...

Lightweighting of Electric Vehicle Structures

Automotive EV BIW lightweighting: predict fatigue failure in novel structures/materials. Used nCode DesignLife with AMCT material characterization to build a standardized fatigue materials database, enabling a global process and more reliable design decisions.

Ressourcen und verwandte Produkte entdecken

Zusätzliche Informationen und Ressourcen

Download DesignLife here