Results 121 to 130 of about 83,305 (186)

Statistical calibration of ultrasonic fatigue testing machine and probabilistic fatigue life estimation

International Journal of Fatigue
Sina Safari, Diogo Montalvão, Pedro R. da Costa, Luís Reis, Manuel Freitas   +4 more
openaire   +1 more source

In Situ X-Ray Imaging and Machine Learning in Ultrasonic Field-Assisted Laser-Based Additive Manufacturing: A Review. [PDF]

Materials (Basel)
Fu Z, Weng Y, Deng Z, Pan J, Li A, Qin L, Wu G.   +6 more
europepmc   +1 more source

Machine learning supported ultrasonic testing for characterization of cracks in polyethylene pipes

Measurement
Said-El Hawwat, Jay Kumar Shah, Hao Wang
openaire   +1 more source

Ultra-High Cycle Fatigue Properties in Zr55Al10Ni5Cu30 Metallic Glassy Alloy Using Ultrasonic Fatigue Testing Machine

Journal of the Society of Materials Science, Japan, 2013
Shin-ichi YAMAURA, Kazutaka FUJITA
openaire   +2 more sources

Enhancing Product Quality in High-Variant Manufacturing: Combining Physics-Based Simulations and Data Science for Target Variable Estimation in an IoT- and Machine Learning-Driven Context. [PDF]

Sensors (Basel)
Schreyer ML, Gerber A, Neubert S, Simon P.   +3 more
europepmc   +1 more source

Aging Structure, Mechanical Properties, and ZnO Piezoelectric Coating-Based Ultrasonic Response of 15CrMo Steel. [PDF]

Materials (Basel)
Hu H, Zhang Y, Ma X, Fu Z, Liu J, Zhang J, Yang B.   +6 more
europepmc   +1 more source

Simple expert systems to improve an ultrasonic sensor-system for a tele-operated mobile-robot [PDF]

, 2011
Robinson, David, Sanders, David, Stott, I., Tewkesbury, Giles   +3 more
core   +1 more source

Comparative Evaluation of Sonic and Ultrasonic Activation of 3 Post Space Irrigants on Push-Out Bond Strength of Fiber Posts Luted With Dual-Cure Resin Cement: Protocol for an In Vitro Study. [PDF]

JMIR Res Protoc
Wamane A, Patel A.
europepmc   +1 more source

Sensors in Self-Driving Vehicles: A Detailed Literature Review and New Trends. [PDF]

Sensors (Basel)
Viktor P, Kiss G.
europepmc   +1 more source

Ultrasonic thickness monitoring of material extrusion parts: machine learning analysis, and erosion testing

Measurement
M. Rafiee, A. Abumettleq, N. Baddour
openaire   +1 more source