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.

  • Print durable products faster
    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.
    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.

DOWNLOAD THE WHITE PAPER >

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

DOWNLOAD THE WHITE PAPER >

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