Imperial College London
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Professor Jerry Heng

Faculty of Engineering, Department of Chemical Engineering

Professor in Particle Technology
 
 
 
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Contact

 

+44 (0)20 7594 0784jerry.heng

 
 
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Location

 

208ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Yao:2017:10.1016/j.clay.2017.02.027,
author = {Yao, Z and Wu, D and Heng, JYY and Wu, W and Zhao, H and Liu, J and Tang, J},
doi = {10.1016/j.clay.2017.02.027},
journal = {Applied Clay Science},
pages = {212--218},
title = {Solids surface characterization using computational algorithms: A case study for talc fillers},
url = {http://dx.doi.org/10.1016/j.clay.2017.02.027},
volume = {141},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The solid surface characterization using contact angle measurement is complicated and time-consuming. In this work, two computational algorithms in MATLAB and C were developed and validated by the surface properties determination of talc filler (TCF) and colored talc filler (CTCF). The results indicated that, the surface free energy parameters calculated using the two algorithms for both samples were consistent. As compared to the MATLAB function, the assembly statements of C function were longer, although the unknowns can be directly obtained using this toolbox. The γSD values determined by the Owens-Wendt-Kaelble (OWK), van Oss-Chaudhury-Good (vOCG) and Wu methods were consistent and contributed a major part of the γST. Compared to γSD, the γSSP component contributed less to γST, implying a lower polarity for both samples. The lower γSD and γSSP for CTCF added up to a lower γST value, which could reduce filler particle-particle interactions. The mechanical properties study of acrylonitrile-butadiene-styrene (ABS) matrix filled with the two fillers showed that the incorporation of them played mainly a reinforcing role, and a better performance for CTCF was observed.
AU  - Yao,Z
AU  - Wu,D
AU  - Heng,JYY
AU  - Wu,W
AU  - Zhao,H
AU  - Liu,J
AU  - Tang,J
DO  - 10.1016/j.clay.2017.02.027
EP  - 218
PY  - 2017///
SN  - 0169-1317
SP  - 212
TI  - Solids surface characterization using computational algorithms: A case study for talc fillers
T2  - Applied Clay Science
UR  - http://dx.doi.org/10.1016/j.clay.2017.02.027
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000399846400025&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/49563
VL  - 141
ER  -
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