A survey of methods for detecting metallic grinding burn

B He, S Ding, Z Shi - Measurement, 2019 - Elsevier
Grinding burn detection is essential for metallic components manufacturing because
grinding burn not only reduces the functional performance and fatigue life but also affects …

What drives urban growth in China? A multi-scale comparative analysis

C Li, J Li, J Wu - Applied geography, 2018 - Elsevier
Driving forces of urban growth differ across spatial scales, but most previous studies have
been done for single cities of different sizes. Multi-scale analysis of urbanization drivers is …

Recent advances in magnetic non-destructive testing and the application of this technique to remanufacturing

H Huang, Z Qian - Insight-Non-Destructive Testing and …, 2018 - ingentaconnect.com
As an emerging green technology, remanufacturing has received increasing attention
worldwide due to its energy-saving and waste-reducing benefits in manufacturing …

Quantitative prediction of surface hardness in 12CrMoV steel plate based on magnetic Barkhausen noise and tangential magnetic field measurements

L Xiucheng, Z Ruihuan, W Bin, H Cunfu - Journal of Nondestructive …, 2018 - Springer
Both magnetic Barkhausen noise (MBN) and tangential magnetic field (TMF) strength can be
applied in the quantitative prediction of surface hardness of ferromagnetic specimens. The …

Design of an expert system based on neuro-fuzzy inference analyzer for on-line microstructural characterization using magnetic NDT method

S Ghanei, H Vafaeenezhad, M Kashefi… - Journal of Magnetism …, 2015 - Elsevier
Tracing microstructural evolution has a significant importance and priority in manufacturing
lines of dual-phase steels. In this paper, an artificial intelligence method is presented for on …

A novel prediction method for hardness using auto-regressive spectrum of Barkhausen noise

G Sun, H Liu, C He, Y Li, X Liu, Z Li, R Zhang… - Journal of Nondestructive …, 2018 - Springer
In this study, a novel method for predicting hardness of ferromagnetic alloy based on the
magnetic Barkhausen noise (MBN) is proposed. A set of new frequency features of MBN and …

Surface Integrity Evaluation Based on Barkhausen Noise Analysis: A Conceptual Approach

J Lötfering, M Schrank, AK Rüppel, M Meurer, T Bergs - Procedia CIRP, 2024 - Elsevier
Destructive testing methods, such as Vickers hardness test or hole drilling methods for
residual stress evaluation have long been conventional approaches in manufacturing to …

Evaluation of mechanical properties in medium carbon steel with a point mode electromagnetic sensor

C He, Y Huang, X Liu, B Wu - Sensors and Actuators A: Physical, 2018 - Elsevier
This paper reports the evaluation of mechanical properties of medium carbon steel based on
a novel sensor. The novel point mode electromagnetic sensor with compact configuration …

An intelligent approach for simultaneously performing material type recognition and case depth prediction in two types of surface-hardened steel rods using a …

Z Zhu, G Sun, C He - Measurement Science and Technology, 2019 - iopscience.iop.org
In traditional methods for measuring case depths (CDs) in two types of surface-hardened
steels, two prediction models are generally established. However, it is difficult to recognize …

A study for optimum survey method of underwater structure using the dual sonar sensor

Y Kim, H Lee, C Park, S Choi - Journal of Sensors, 2017 - Wiley Online Library
We have developed dual sonar equipment and an improved operating method for improving
resolution in order to solve the problems of limitations of the optical equipment and the …