- Identification of Uncertainty Cases in Robots with Focus on Additive Manufacturing Technology: A Mini Review
https://doi.org/10.53964/jmim.2024011
(FREE to download)
- Condition-based Predictive Maintenance as an Efficient Strategy for Industrializing Additive Manufacturing Technology
https://doi.org/10.53964/jmim.2024008
(FREE to download)
- Incertitude en intelligence artificielle : application à la maintenance dans la fabrication additive
- An overview of reliability centered maintenance using failure mode and effect analysis
https://doi.org/10.21494/ISTE.OP.2023.1045
(FREE to download)
- Chapter 2: Uncertainty and Artificial Intelligence: Applications to Maintenance in Additive Manufacturing
- Reverse optimum safety factor approaches as effective tools for reliability-based topology optimization with application to cementless hollow stems used in total hip replacement
https://doi.org/10.21494/ISTE.OP.2023.0995
(FREE to download)
- Challenges and Future Perspectives for Additively Manufactured Polylactic Acid Using Fused Filament Fabrication in Dentistry
https://doi.org/10.3390/jfb14070334
(FREE to download)
Selected also to be published in Encyclopedia:
- A Review on Uncertainty Cases in Additively Manufactured Polylactic Acid Using Fused Filament Fabrication Technique
https://doi.org/10.53964/ijams.2023001
(FREE to download).
- Two decades review of reliability-based topology optimization developments
https://doi.org/10.21494/ISTE.OP.2022.0884
(FREE to download).
- Reverse Versus Inverse Optimum Safety Factor Approaches for Reliability-based Topology Optimization
https://doi.org/10.53964/ijams.2022002
(FREE to download).
- Additive manufacturing of polylactic acid (PLA) material considering preheating uncertainty effect https://doi.org/10.21494/ISTE.OP.2022.0852
(FREE to download)
- NAVAIR as an Effective Standard of Reliability Centered Maintenance for Determining Significant Functional Failures
https://doi.org/10.21494/ISTE.OP.2022.0849
(FREE to download)
To deal with micro 3D printing, we don't only increase the precision of our products, but also obtain smooth assembly.
When identifying the different failure components (cause, mode, consequences), we increase the quality and quantity.
When using for example different materials for the same geometry, we adapt the g-code (raft, temperature ...) to have a good adhesion level.
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