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Classification of adhesive bonding between thermoplastic composites using ultrasonic testing aided by machine learning

International Journal of Adhesion and Adhesives, 2023
Jiaoyang Li   +6 more
openaire   +2 more sources

Accelerated axial fatigue testing of carbon fiber reinforced plastics quasi‐isotropic laminate by using ultrasonic fatigue testing machine

Fatigue & Fracture of Engineering Materials & Structures, 2022
Yoshinobu Shimamura   +3 more
openaire   +2 more sources

Predicting compressive strength of cement-stabilized earth blocks using machine learning models incorporating cement content, ultrasonic pulse velocity, and electrical resistivity

Nondestructive Testing and Evaluation, 2023
The quality monitoring technique for Cement stabilised earth blocks (CSEBs) is so challenging that it is often neglected. This study has investigated the possibility of using machine learning to predict the compressive strength of CSEBs based on cement ...
N. Sathiparan, P. Jeyananthan
semanticscholar   +1 more source

Applications of ultrasonic testing and machine learning methods to predict the static & fatigue behavior of spot-welded joints

Journal of Manufacturing Processes, 2020
Ultrasonic Testing (UT) is one of the well-known Non-Destructive Techniques (NDT) of spot-weld inspection in the advanced industries, especially in automotive industry.
N. Amiri   +3 more
semanticscholar   +1 more source

Towards using convolutional neural network to locate, identify and size defects in phased array ultrasonic testing.

Ultrasonics, 2021
Machine learning algorithms are widely used in image recognition. In Phased Array Ultrasonic Testing (PAUT), images are typically formed through constructive and destructive superpositions of signals backscattered from flaws or geometric features ...
Thibault Latête   +2 more
semanticscholar   +1 more source

Wood hole-damage detection and classification via contact ultrasonic testing

Construction and Building Materials, 2021
Damage detection in wood materials has numerous applications in different industries, such as construction and forestry. Wood is generally a complex medium due to its orthotropic and random properties, which increases the difficulty of non-destructive ...
M. Mousavi, Amir H. Gandomi
semanticscholar   +1 more source

Quantitative ultrasonic testing for near-surface defects of large ring forgings using feature extraction and GA-SVM

, 2021
Water immersion ultrasonic testing technology is widely used in non-destructive testing of large ring forgings, but near-surface defects are difficult to identify in near-surface blind zone, because the defect echo always overlaps with interface echo. In
Guan Shanyue   +3 more
semanticscholar   +1 more source

Phased array ultrasonic imaging and characterization of adhesive bonding between thermoplastic composites aided by machine learning

Nondestructive Testing and Evaluation, 2022
The testing and evaluation of adhesive bonding quality between thermoplastics are crucial for structural integrity. This article presents the use of phased array ultrasonic testing (PAUT) method to characterise the adhesive interface between ...
Guanyu Piao   +6 more
semanticscholar   +1 more source

Ultrasonic machining of engine lubricating oil during tribotechnical testing

Journal of Friction and Wear, 2017
The results of tribotechnical testing of brass–steel and iron–steel friction couples for both their running-in ability and wear resistance have been described. For brass and iron jaws of friction couples, it has been established that the load before tearing increased to 4.3 and 12.3%, respectively, in synthetic oil, while for semisynthetic oil, it ...
A. A. Simdyankin   +3 more
openaire   +1 more source

Performance simulation and testing of capacitive micro-machined ultrasonic transducer

Sensor Review, 2019
Purpose This study aims to simulate and test the performance of a transmitting and receiving capacitive micro-machined ultrasonic transducer (CMUT). Aimed at detecting demand of the CMUT, a matched integrated adjustment circuit was designed through analyzing processing methods of transducer’s weak echo signal.
Rui Zhang   +6 more
openaire   +1 more source

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