Combined effect of random porosity and surface defect on fatigue lifetime of additively manufactured micro-sized Ti6Al4V components: An investigation based on numerical analysis and machine learning approach

Hou, Yixuan; Hu, Zhen; Wauters, Tony; Talemi, Reza

doi:10.1016/j.tafmec.2024.104451

Theoretical and Applied Fracture Mechanics

2024

DOI: 10.1016/j.tafmec.2024.104451

|View full text |Cite

Combined effect of random porosity and surface defect on fatigue lifetime of additively manufactured micro-sized Ti6Al4V components: An investigation based on numerical analysis and machine learning approach

Yixuan Hou,

Zhen Hu,

Tony Wauters

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article4

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Analysis on Mechanical Behavior of Additively Manufactured PLA/Eggshell Composites Using Machine Learning Algorithms

Soms,

Ravi Kumar,

Gunasekar

2024

J. of Materi Eng and Perform

View full text Add to dashboard Cite

Analysis on Mechanical Behavior of Additively Manufactured PLA/Eggshell Composites Using Machine Learning Algorithms

Soms,

Ravi Kumar,

Gunasekar

2024

J. of Materi Eng and Perform

View full text Add to dashboard Cite

Additive manufacturing of Titanium alloy for aerospace applications: Insights into the process, microstructure, and mechanical properties

Srivastava,

Jayakumar,

Udayan

et al. 2024

Applied Materials Today

View full text Add to dashboard Cite

Numerical framework for predicting fatigue scatter in additively manufactured parts

Hou,

Kench,

Wauters

et al. 2024

International Journal of Mechanical Sciences

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Combined effect of random porosity and surface defect on fatigue lifetime of additively manufactured micro-sized Ti6Al4V components: An investigation based on numerical analysis and machine learning approach

Cited by 4 publications

References 39 publications

Analysis on Mechanical Behavior of Additively Manufactured PLA/Eggshell Composites Using Machine Learning Algorithms

Analysis on Mechanical Behavior of Additively Manufactured PLA/Eggshell Composites Using Machine Learning Algorithms

Additive manufacturing of Titanium alloy for aerospace applications: Insights into the process, microstructure, and mechanical properties

Numerical framework for predicting fatigue scatter in additively manufactured parts

Contact Info

Product

Resources

About