Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/147685
Title: Accelerated viscosity measurements of polymer solutions using high throughput experimentation and machine learning
Authors: Chua, Zhong Zhe
Keywords: Engineering::Materials::Testing of materials
Issue Date: 2021
Publisher: Nanyang Technological University
Source: Chua, Z. Z. (2021). Accelerated viscosity measurements of polymer solutions using high throughput experimentation and machine learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/147685
Abstract: In this study, machine learning is used in conjunction with a proxy experiment to relate to high fidelity empirical data to measure and predict viscosity of materials in a rapid, and high throughput fashion. This paper details both the proxy and high-fidelity experiments focusing only on viscometry and how computation is used to find a relationship between the proxy and high-fidelity experiments. This method is time efficient and economical in the long run, only requiring initial efforts to setup a base standard for future predictive work.
URI: https://hdl.handle.net/10356/147685
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:MSE Student Reports (FYP/IA/PA/PI)

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