MODSIM 3DXCONFERENCE Light Weight Engineering
I am pleased to invite you to hear my presentation on the Global 3DEXPERIENCE Modeling & Simulation Virtual Conference, on November 17–18, 2020. Register now!
https://events.3ds.com/global-3dexperience-modeling-simulation-virtual-conference
My presentation:
Simulation Environment for Virtual Fatigue Testing of Additive Manufacturing Part
Additive Manufacturing (AM) application for aerospace industry presents a significant potential to provide substantial benefits such as shorter development process and time to market, weight-optimized designs and on-demand spares manufacturing. Regarding the aircraft structural integrity, a key aspect in aircraft design, certification and operation is the presence of complex patterns of defects such as lack of fusion or multiple pores and voids, which are intrinsic to AM process and can potentially produce a major detrimental effect in the fatigue strength of AM metallic parts. These defects are process dependent and largely variable, therefore dedicated characterization and analysis is required. Nowadays, industry efforts to consolidate a reliable behavioral modeling of AM components focus on three main areas: (i) physical testing to build comprehensive databases of AM materials performance and behavior (ii) statistical data treatment to enable stochastic approaches for AM materials (iii) development of high-fidelity numerical models for Virtual Fatigue Testing (VFT) Airbus DS is developing these VFT simulations for AM metallic parts based on the Continuum Damage Mechanics (CDM) formulation at the defect and coupon scales, in order to predict the effect of AM defects over fatigue strength. This VFT simulation environment is being developed and implemented in the software PAMDEMIC (Probabilistic Additive Manufacturing Defect Modelling for Initiation of Cracking), created by Airbus DS, using Abaqus as core FE solver with add-ons based on user’s subroutines for CDM behavioral modeling and Python scripting for parametric generation of characteristic AM defects and results post-processing. PAMDEMIC is able to launch Montecarlo CDM simulations in order to perform a probabilistic evaluation of the expected fatigue life for AM metallic parts, allowing the determination of the corresponding life limits or maintenance tasks required to assure the structural integrity during the service life of the part.
The replay of my presentation will be available after the event on this post, and I'm available here to answer your questions.
@ Ismael Rivero Arévalo
Aerospace Mechanical Engineering, Airbus (Defence & Space)
