High-throughput viscosity measurements for Newtonian fluids

In this study, a combinatorial method utilising machine learning has been designed for high-throughput viscometry of Newtonian fluids. This method comprises of a high-throughput experimental protocol to automate data collection, producing an algorithm to predict viscosity of an unknown fluid.

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Bibliographic Details
Main Author:	Tan, Shu Zheng
Other Authors:	Kedar Hippalgaonkar
Format:	Final Year Project
Language:	English
Published:	Nanyang Technological University 2023
Subjects:	Engineering::Materials
Online Access:	https://hdl.handle.net/10356/167034
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Institution:	Nanyang Technological University
Language:	English

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record_format	dspace
spelling	sg-ntu-dr.10356-1670342023-05-20T16:46:06Z High-throughput viscosity measurements for Newtonian fluids Tan, Shu Zheng Kedar Hippalgaonkar School of Materials Science and Engineering Agency for Science, Technology and Research (A*STAR) kedar@ntu.edu.sg Engineering::Materials In this study, a combinatorial method utilising machine learning has been designed for high-throughput viscometry of Newtonian fluids. This method comprises of a high-throughput experimental protocol to automate data collection, producing an algorithm to predict viscosity of an unknown fluid. Bachelor of Engineering (Materials Engineering) 2023-05-18T06:03:57Z 2023-05-18T06:03:57Z 2023 Final Year Project (FYP) Tan, S. Z. (2023). High-throughput viscosity measurements for Newtonian fluids. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167034 https://hdl.handle.net/10356/167034 en application/pdf Nanyang Technological University
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
language	English
topic	Engineering::Materials
spellingShingle	Engineering::Materials Tan, Shu Zheng High-throughput viscosity measurements for Newtonian fluids
description	In this study, a combinatorial method utilising machine learning has been designed for high-throughput viscometry of Newtonian fluids. This method comprises of a high-throughput experimental protocol to automate data collection, producing an algorithm to predict viscosity of an unknown fluid.
author2	Kedar Hippalgaonkar
author_facet	Kedar Hippalgaonkar Tan, Shu Zheng
format	Final Year Project
author	Tan, Shu Zheng
author_sort	Tan, Shu Zheng
title	High-throughput viscosity measurements for Newtonian fluids
title_short	High-throughput viscosity measurements for Newtonian fluids
title_full	High-throughput viscosity measurements for Newtonian fluids
title_fullStr	High-throughput viscosity measurements for Newtonian fluids
title_full_unstemmed	High-throughput viscosity measurements for Newtonian fluids
title_sort	high-throughput viscosity measurements for newtonian fluids
publisher	Nanyang Technological University
publishDate	2023
url	https://hdl.handle.net/10356/167034
_version_	1772825302600253440

High-throughput viscosity measurements for Newtonian fluids

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