Chow, P and Barbhuiya, S (2017) Effective Surface Preparation Technique for Cementitious Samples in Nanoindentation Testing. Advances in Civil Engineering Materials, 6 (1). p. 20160027. ISSN 2379-1357
Abstract
The nanomechanical properties of cementitious materials determined by nanoindentation largely depend on the surface roughness and intrinsic material porosity of the samples. Studies have shown that high surface roughness causes an overall reduction in the measured indentation modulus and hardness. Therefore, it is important to reduce the surface roughness to a desirable value by means of polishing. However, polishing causes damage to the cement matrix. Thus, the most challenging task is to obtain a reasonable surface roughness with minimum disturbance to the microstructure of the samples. This paper discusses an effective surface preparation technique that would meet the roughness criteria for nanoindentation. With the application of Taguchi method, the optimum parameter combinations and relative contributions of various controlling factors such as force, speed, and time of polishing were determined. A second-order response surface model was developed based on signal to noise ratio to establish the relationship between the controlling factors and surface roughness. Finally, the predicted surface roughness values from both Taguchi method and response surface model were compared with the experimental values of the optimized confirmation runs and a good agreement was achieved.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Keywords: | nanoindentation; Taguchi method; cementitious materials; surface roughness; response surface model |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 21 Feb 2019 11:07 |
Last Modified: | 21 Feb 2019 11:07 |
Status: | Published |
Publisher: | ASTM International |
Identification Number: | 10.1520/ACEM20160027 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:142814 |