Results 11 to 20 of about 572,061 (268)

Standing tree health assessment using contact–ultrasonic testing and machine learning

Computers and Electronics in Agriculture, 2023
Mohsen Mousavi, Mohammad Sadegh Taskhiri, Amir H. Gandomi   +2 more
openaire   +2 more sources

Research on ultrasonic testing method for tangential contact stress based on equivalent medium theory

Ultrasonics Sonochemistry
As a weak link, the joint surface of machine tools directly affects the stiffness and machining accuracy of the entire machine tool. However, obtaining the distribution of contact stress is a key problem that urgently needs to be solved in exploring the ...
Nana Niu, Yongsheng Zhao, Zhifeng Liu, Ying Li, Lele Liu   +4 more
doaj   +2 more sources

Recent Advancements in Guided Ultrasonic Waves for Structural Health Monitoring of Composite Structures

Applied Sciences
Structural health monitoring (SHM) is essential for ensuring the safety and longevity of laminated composite structures. Their favorable strength-to-weight ratio renders them ideal for the automotive, marine, and aerospace industries.
Mohad Tanveer, Muhammad Umar Elahi, Jaehyun Jung, Muhammad Muzammil Azad, Salman Khalid, Heung Soo Kim   +5 more
doaj   +2 more sources

A new piezoelectric fatigue testing machine in pure torsion for ultrasonic gigacycle fatigue tests: application to forged and extruded titanium alloys

Fatigue & Fracture of Engineering Materials & Structures, 2015
AbstractThis article briefly discusses the history of the development of ultrasonic fatigue testing methods, with respect to industrial needs. The development of ultrasonic techniques and the progress made in the computer industry have led to improvements in ultrasonic testing techniques. It has been shown, that existing ultrasonic testing systems have
NIKITIN, Alexander, BATHIAS, Claude, PALIN-LUC, Thierry   +2 more
openaire   +3 more sources

Machine learning-based prediction of unconfined compressive strength of organic-rich clay shales using hybrid destructive and non-destructive inputs [PDF]

Scientific Reports
The unconfined compressive strength of organic-rich clay shale is a fundamental parameter in geotechnical and energy applications, influencing drilling efficiency, wellbore stability, and excavation design.
Muhammad Ali, Mubashir Aziz, Aaqib Ali, Usman Ali   +3 more
doaj   +2 more sources

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

Measurement
Said-El Hawwat, Jay Kumar Shah, Hao Wang
openaire   +2 more sources

Research progress in ultrasonic testing for friction stir welding of aluminum alloy

Cailiao gongcheng, 2022
The defects in friction stir welding (FSW) of aluminum alloy, e.g., tunnel defect, lack of penetration (LOP) and kissing bond, are with complex shape and narrow gap by inappropriate welding parameters.
JIN Shijie, TIAN Xin, LIN Li
doaj   +1 more source

ML-Enabled Piezoelectric-Driven Internal Defect Assessment in Metal Structures

Machines, 2023
With the growth of 3D printing in the production space, it is inevitable that quality assurance will be needed to keep final products within the constraints of requirements.
Daniel Adeleye, Mohammad Seyedi, Farzad Ferdowsi, Jonathan Raush, Ahmed Khattab   +4 more
doaj   +1 more source

Visualization of internal defects using a deep generative neural network model and ultrasonic nondestructive testing

Advanced Engineering Research, 2021
Introduction. The development of machine learning methods has given a new impulse to solving inverse problems in mechanics. Many studies show that along with well-behaved techniques of ultrasonic, magnetic, and thermal nondestructive testing, the latest ...
Р. V. Vasiliev, А. V. Senichev, I. Giorgio   +2 more
doaj   +1 more source

Automated Classification of Pipeline Defects from Ultrasonic Phased Array Total Focusing Method Imaging

Energies, 2022
The defects in the welds of energy pipelines have significantly influenced their safe operation. The inefficient and inaccurate detection of the defects may give rise to catastrophic accidents.
Haibin Wang, Zhichao Fan, Xuedong Chen, Jingwei Cheng, Wei Chen, Zhe Wang, Yangguang Bu   +6 more
doaj   +1 more source