Know-How
White Paper: Accurately predict fatigue life for additive manufactured components
Discover how Simcenter 3D software can optimize both design and manufacturing processes to deliver reliable AM-based products, enabling manufacturers to print durable parts more rapidly and affordably.
Siemens Digital Industries Software
Linz,
Austria
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Print durable products faster -
The AM process leads to variable local conditions such as variable surface roughness as presented in this picture, which impacts fatigue performance.
Download the white paper to learn more about our unique, validated durability simulation method added to Simcenter 3D software, allowing manufacturers to print durable parts much faster and cheaper.
Contents:
Introduction
- Globalization is making us vulnerable to disruptive events
- Additive manufacturing: the emerging technology that comes just-in-time
- Are printed products safe?
An additional challenge for fatigue analysis
- The early days of fatigue analysis
- AM complicates fatigue simulation
The fatigue failure mechanism of printed components
AM-capable durability analysis in Simcenter 3D
- Predict the AM-induced local material conditions
- Introduce machine learning to predict fatigue properties
- Perform efficient durability analysis by considering the AM-induced local conditions
Validation case: a turbine blade made of stainless steel
- Case description
- Validation results
Printing durable parts faster
- Combine faster AM with optimized fatigue life and cost
- Results in a validation case
Conclusion
Your contact person
Martin Gasch
Portfolio Development Executive Additive Manufacturing
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