Zobrazeno 1 - 10
of 340
pro vyhledávání: '"Cunfu He"'
Publikováno v:
Sensors, Vol 24, Iss 7, p 2051 (2024)
The correlation between magnetic Barkhausen noise (MBN) features and the surface hardness of two types of die steels (Cr12MoV steel and S136 steel in Chinese standards) was investigated in this study. Back-propagation neural network (BP-NN) models we
Externí odkaz:
https://doaj.org/article/eb891d64d12442e582a2afc6700a43f2
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 36, Iss 1, Pp 1-13 (2023)
Abstract Harmonic nonlinear ultrasound can offer high sensitivity for residual stress measurements; however, it cannot be used for local stress measurements at a point in space and exhibits nonlinear distortions in the experimental system. This paper
Externí odkaz:
https://doaj.org/article/0926ec89c01c40fd9558176a81993a3c
Publikováno v:
Frontiers in Materials, Vol 10 (2023)
The circumferential guide wave can effectively evaluate the damage of pipe or the cementation quality between pipe and peripheral medium. In this research, the state matrix method is applied to derive the circumferential SH waves dispersion equation
Externí odkaz:
https://doaj.org/article/dd6b0abf26bb4ce2ab342d167664b076
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 33, Iss 1, Pp 1-13 (2020)
Abstract Excitation parameter preferences are key factors affecting the performance of magnetic frequency mixing detection. A uniform experimental design method was used to analyze this influence. Using fuzzy theory, a comprehensive model is establis
Externí odkaz:
https://doaj.org/article/35f8c5b4c34d4757b909e888e268bb4d
Publikováno v:
Sensors, Vol 23, Iss 3, p 1273 (2023)
The combination of multifunctional micromagnetic testing and neural network-based prediction models is a promising way of nondestructive and quantitative measurement of steel surface hardness. Current studies mainly focused on improving the predictio
Externí odkaz:
https://doaj.org/article/eaba8e1c1296452f87a2b2dee63e2037
Autor:
Peng Li, Xianxian Wang, Dongdong Ding, Zhaoxiang Gao, Wen Fang, Chaolei Zhang, Cunfu He, Xiucheng Liu
Publikováno v:
Sensors, Vol 23, Iss 1, p 503 (2023)
Magnetic Barkhausen noise (MBN), sensitive to the microstructure of materials, can be applied in the surface decarburization depth detection of ferromagnetic specimens. However, the effects of core microstructures on the determination results of deca
Externí odkaz:
https://doaj.org/article/959bd49561254ca19b8af226427ea48a
Publikováno v:
Sensors, Vol 22, Iss 11, p 4052 (2022)
Functionally graded materials (FGM) have received extensive attention in recent years due to their excellent mechanical properties. In this research, the theoretical process of calculating the propagation characteristics of Lamb waves in FGM sandwich
Externí odkaz:
https://doaj.org/article/161f738d37a649d2915ea920442c565f
Publikováno v:
Measurement: Sensors, Vol 5, Iss , Pp 100013- (2019)
A magnetic frequency mixing sensor was optimized and designed for mechanical properties measurement of ferromagnetic material. Three-dimensional finite element simulations have been carried out to investigate the influences of material and dimensions
Externí odkaz:
https://doaj.org/article/da147f677bf646b79bd7d3a81a4023c2
Publikováno v:
Sensors, Vol 21, Iss 9, p 3151 (2021)
In this study, a novel piezoelectric energy harvester (PEH) based on the array composite spherical particle chain was constructed and explored in detail through simulation and experimental verification. The power test of the PEH based on array compos
Externí odkaz:
https://doaj.org/article/ae876c6347c7406aa280cb1b18d1baae
Publikováno v:
Sensors, Vol 21, Iss 10, p 3330 (2021)
Magnetic Barkhausen noise (MBN) signals in the stage from saturation to remanence of the hysteresis loop are closely correlated with magnetocrystalline anisotropy energy. MBN events in this stage are related to the nucleation and growth of reverse do
Externí odkaz:
https://doaj.org/article/75ede1d2c79344cabf33cfcd63173789