共 58 条
[1]
Machine Learning Tools for Flow-Related Defects Detection in Friction Stir Welding
[J].
JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME,
2023, 145 (10)
[2]
[Anonymous], 2014, ASTM Int, P1, DOI [DOI 10.1520/E2627, 10.1520/D0909-14.2, 10.1520/D4373-14, DOI 10.1520/D7566-15C]
[3]
[Anonymous], 2016, STANDARD TEST METHOD, P1, DOI DOI 10.1520/D2487-17
[4]
Fatigue Behavior of Solid-State Additive Manufactured Inconel 625
[J].
JOM,
2018, 70 (11)
:2475-2484
[7]
Quantitative study on the correlation between microstructure and mechanical properties of additive friction stir deposited 6061-T6 Al-Mg-Si alloy
[J].
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T,
2023, 25
:6725-6736
[9]
Additive Friction Stir Deposition of AA7075-T6 Alloy: Impact of Process Parameters on the Microstructures and Properties of the Continuously Deposited Multilayered Parts
[J].
APPLIED SCIENCES-BASEL,
2023, 13 (18)
[10]
Microstructure and Low-Cycle Fatigue of a Friction-Stir-Welded 6061 Aluminum Alloy
[J].
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE,
2010, 41A (10)
:2626-2641