Welcome To UTPedia

We would like to introduce you, the new knowledge repository product called UTPedia. The UTP Electronic and Digital Intellectual Asset. It stores digitized version of thesis, final year project reports and past year examination questions.

Browse content of UTPedia using Year, Subject, Department and Author and Search for required document using Searching facilities included in UTPedia. UTPedia with full text are accessible for all registered users, whereas only the physical information and metadata can be retrieved by public users. UTPedia collaborating and connecting peoples with university’s intellectual works from anywhere.

Disclaimer - Universiti Teknologi PETRONAS shall not be liable for any loss or damage caused by the usage of any information obtained from this web site.Best viewed using Mozilla Firefox 3 or IE 7 with resolution 1024 x 768.

Investigation on Industrial Heat Transfer Fluids Degradation and Prediction of Their Physical Properties Using a Smart Technique

Shahman, Muhammad Farid (2015) Investigation on Industrial Heat Transfer Fluids Degradation and Prediction of Their Physical Properties Using a Smart Technique. IRC, Universiti Teknologi PETRONAS. (Unpublished)

[img] PDF
Download (1MB)


Heat Transfer Fluids (HTFs) are extensively utilized in industry where direct heating by a naked flame is not practical. Historically, steam has been favoured method because its main advantages are the absence of environmental issues and the low cost of water. However, the steam utilization demands the complex system such as the use of chemical additions, demineralised water, safety valves, drains, traps and blow downs. If the HTF systems are designed properly, it is safer and less problematic. Moreover, HTFs are far better than steam as they are able to operate at high temperature and do not require high pressure system. Since the majority of the industrial processes are operated under high temperature, it signifies the importance of the utilization of HTFs in the industrial applications. In this project, the main objectives are to investigate the parameters affecting the degradation of the HTFs, which are commonly used in industry, to predict the physical properties of the fluids using a smart technique as artificial neural network (ANN), to conclude the degradation rate of one type of HTF, and to give some suggestions to lengthen the lifetime of the commonly used HTFs in industry based on the analysis of the results and the investigation fulfilled. ANN is an efficient tool which is widely utilized to analyse the process systems. The results imply that the causes of HTFs degradation are thermal cracking, oxidation and contamination. The results also reveal that ANN has been successfully able to predict HTFs properties with relative percent error as much as 0.262%. Moreover, the degradation rate derived can be utilized to analyse the performance of the HTF system for the next period of operation, and the suggestions provided can be effectively applied for the industrial systems to improve their efficiency and to increase the HTFs lifetime.

Item Type: Final Year Project
Academic Subject : Academic Department - Chemical Engineering - Separation Process
Subject: T Technology > TP Chemical technology
Divisions: Engineering > Chemical
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 22 Feb 2016 10:25
Last Modified: 25 Jan 2017 09:35
URI: http://utpedia.utp.edu.my/id/eprint/16266

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...