Results 161 to 170 of about 83,305 (186)
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High-power, ultrasonic fatigue testing machine
Review of Scientific Instruments, 1975A machine capable of fatigue testing high strength alloys at an ultrasonic frequency (20 kHz), and a range of temperatures likely to be encountered by such materials in aerospace and power generation applications and in basic research, is described.
J. K. Tien +7 more
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Ultrasonic machining of engine lubricating oil during tribotechnical testing
Journal of Friction and Wear, 2017The 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
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Performance simulation and testing of capacitive micro-machined ultrasonic transducer
Sensor Review, 2019Purpose 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
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A high-speed ultrasonic testing machine for tubes
Radio and Electronic Engineer, 1971An ultrasonic flaw detection equipment has been developed for testing steel tubes at speeds compatible with modern rates of production. The system uses a series of identical probes arranged in a ring encircling the tube. Fast sequential pulsing of the probes, together with slow rotation of the tubes gives effective circumferential scanning speeds ...
G.H. Kyte, K.R. Whittington
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Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, 2021
Abstract The objective of this work is to reduce the cost of performing model-based sensitivity analysis for ultrasonic nondestructive testing systems by replacing the accurate physics-based model with machine learning (ML) algorithms and quickly compute Sobol’ indices. The ML algorithms considered in this work are neural networks (NNs),
Jethro Nagawkar, Leifur Leifsson
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Abstract The objective of this work is to reduce the cost of performing model-based sensitivity analysis for ultrasonic nondestructive testing systems by replacing the accurate physics-based model with machine learning (ML) algorithms and quickly compute Sobol’ indices. The ML algorithms considered in this work are neural networks (NNs),
Jethro Nagawkar, Leifur Leifsson
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Analysis and Testing on Material Removal Mechanism on Ultrasonic Composite Electrochemical Machining
2017This paper researches the parameters influence law of ultrasonic and electrolytic machining and their mutual synergy mechanism, establishes a mathematical model of ultrasonic composite electrochemical machining material removal rate, and analyzes the role of ultrasonic and electrochemical machining in ultrasonic composite electrochemical machining.
Linlin Li, Yongwei Zhu
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Design and testing of rotors for a cylindrical micro-machined micro ultrasonic motor
IEEE Ultrasonics Symposium, 2005., 2006In this paper, a design and testing of rotors for a micro ultrasonic motor using micro-machined cylindrical bulk piezoelectric vibrator is introduced. This motor consists of the vibrator, a glass case and a rotor. The diameter of the piezoelectric vibrator was 0.8 mm and that of the motor case was 1.8 mm. Since the stator transducer is fixed at the end
T. Kanda +4 more
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Rotary Combined Ultrasonic and Electrochemical Machining Device of Small Holes and its Test Study
Key Engineering Materials, 2013Discussing the technology of small holes processing and the development of the combined ultrasonic and electrochemical machining, the technology of combined ultrasonic and electrochemical Machining was studied and its device was designed. By the preliminary tests, the impacts of various factors on the processing of small holes by combined ultrasonic ...
Ze Xiang Liu, Min Kang, Xiu Qing Fu
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