ORCID Profile
0000-0003-1277-7848
Current Organisations
KU Leuven
,
Georgia Institute of Technology
,
Xi'an Jiaotong University
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Publisher: SAGE Publications
Date: 15-12-2016
Abstract: Three-dimensional morphologies of wear particles are important information sources for machine condition assessment and fault diagnosis. However, existing three-dimensional image acquisition systems, such as laser scanning confocal microscopy and atomic force microscopy, cannot be directly applied in condition-based maintenance of machines. In order to automatically acquire three-dimensional information of wear debris for online condition monitoring, a microfluidic device consisting of an oil flow channel and a video imaging system is developed. This paper focuses on the control of particle motions. A microchannel is designed to ensure the continuous rotation of particles such that their three-dimensional features can be captured. The relationships between running torque and channel height and particle size are analysed to determine the channel height. An infinite fluid field is considered to make sure that the particles rotate around the same axis to capture 360 degree views. Based on this, the cross section of the microchannel is determined at 5 mm × 0.2 mm (height × width) to capture the wear debris under 200 µm. A CMOS sensor is used to image the particles in multiple views and then three-dimensional features of wear debris (e.g. thickness, height aspect ratio and sphericity) are obtained. Two experiments were carried out to evaluate the performances of the designed system. The results demonstrate that (1) the microfluidic device is effective in capturing multiple view images of wear particles various in sizes and shapes (2) spatial morphological characteristics of wear particles can be constructed using a sequence of multi-view images.
Publisher: Elsevier BV
Date: 05-2015
Publisher: Informa UK Limited
Date: 10-08-2016
Publisher: Elsevier BV
Date: 2019
Publisher: Informa UK Limited
Date: 08-06-2015
Publisher: Elsevier BV
Date: 08-2014
Publisher: Elsevier BV
Date: 07-2016
Publisher: Elsevier BV
Date: 10-2017
Publisher: Informa UK Limited
Date: 12-01-2015
Publisher: Elsevier BV
Date: 2016
Publisher: Springer Science and Business Media LLC
Date: 13-12-2013
Publisher: Elsevier BV
Date: 12-2017
Publisher: Springer Science and Business Media LLC
Date: 30-01-2018
Publisher: Springer Science and Business Media LLC
Date: 04-11-2013
Publisher: Elsevier BV
Date: 12-2015
Publisher: MDPI AG
Date: 08-04-2015
DOI: 10.3390/S150408173
Publisher: Elsevier BV
Date: 04-2019
Publisher: Elsevier BV
Date: 04-2019
Publisher: Elsevier BV
Date: 04-2017
Publisher: Wiley
Date: 23-05-2022
Abstract: Porosity and surface area analysis play a prominent role in modern materials science. At the heart of this sits the Brunauer–Emmett–Teller (BET) theory, which has been a remarkably successful contribution to the field of materials science. The BET method was developed in the 1930s for open surfaces but is now the most widely used metric for the estimation of surface areas of micro‐ and mesoporous materials. Despite its widespread use, the calculation of BET surface areas causes a spread in reported areas, resulting in reproducibility problems in both academia and industry. To prove this, for this analysis, 18 already‐measured raw adsorption isotherms were provided to sixty‐one labs, who were asked to calculate the corresponding BET areas. This round‐robin exercise resulted in a wide range of values. Here, the reproducibility of BET area determination from identical isotherms is demonstrated to be a largely ignored issue, raising critical concerns over the reliability of reported BET areas. To solve this major issue, a new computational approach to accurately and systematically determine the BET area of nanoporous materials is developed. The software, called “BET surface identification” (BETSI), expands on the well‐known Rouquerol criteria and makes an unambiguous BET area assignment possible.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2021
Publisher: Elsevier BV
Date: 08-2015
Publisher: Elsevier BV
Date: 12-2016
No related grants have been discovered for Tonghai Wu.