Transfer Learning Methods for Fractographic Detection of Fatigue Crack Initiation in Additive Manufacturing
Author:
Affiliation:
1. School of Computer Science, Ariel University, Ariel, Israel
2. School of Mechanical Engineering and Mechatronics, Ariel University, Ariel, Israel
Funder
Top-Ariel Scholarship
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10382509.pdf?arnumber=10382509
Reference55 articles.
1. A Review of Additive Manufacturing
2. Additive manufacturing of metals: a brief review of the characteristic microstructures and properties of steels, Ti-6Al-4V and high-entropy alloys
3. A comparison of traditional manufacturing vs additive manufacturing, the best method for the job
4. A decision-support model for selecting additive manufacturing versus subtractive manufacturing based on energy consumption
5. Fatigue performance evaluation of selective laser melted Ti–6Al–4V
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