東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Understanding Thermally Induced Flow...

Shum, Andrew D.

Linked to FindBook

Google Book

Amazon

博客來

Understanding Thermally Induced Flow in Porous Media for Electrochemical Energy Applications.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Understanding Thermally Induced Flow in Porous Media for Electrochemical Energy Applications./
Author:	Shum, Andrew D.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
Description:	111 p.
Notes:	Source: Dissertations Abstracts International, Volume: 81-09, Section: B.
Contained By:	Dissertations Abstracts International81-09B.
Subject:	Alternative energy. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27735801
ISBN:	9781658416566

Understanding Thermally Induced Flow in Porous Media for Electrochemical Energy Applications.
Shum, Andrew D.

Understanding Thermally Induced Flow in Porous Media for Electrochemical Energy Applications. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 111 p.

Source: Dissertations Abstracts International, Volume: 81-09, Section: B.

Thesis (Ph.D.)--Tufts University, 2020.

This item must not be sold to any third party vendors.

Today, fossil fuels are a primary source of energy due to low prices and technology maturity. However, it is generally accepted that continued use of fossil fuels is not sustainable due to environmental impacts and eventual resource depletion. Many proposed solutions regarding renewable sources and a revised electric grid require dispatchable, sometimes distributable, energy storage/generation. Polymer-electrolyte fuel cells (PEFCs) are a promising energy-conversion technology not only for this purpose but also for the transportation industry. Using hydrogen gas and oxygen gas, PEFCs produce electric current and exhaust water.One of the remaining issues with PEFCs is water management. Achieving effective water management relies on a detailed understanding of the various water transport phenomena at work. Pressure gradients have been studied thoroughly through both experimental (including x-ray computed tomography (CT)) and computational means. Evaporative transport, however, has been studied primarily through computational means due to its complexity. In this work, synchrotron-based micro-scale x-ray CT is used to perform in-situ observation and measurement of evaporation in the porous carbon media used for PEFCs. Infrared thermography is used in addition to x-ray CT in order to observe the impact of various factors on the formation of cracks in the catalyst layer during fabrication. Lastly, out-of-the-box machine learning, including convolutional neural networks, are explored as a means for improving the speed and accuracy with which x-ray CT data can be processed for these materials.

ISBN: 9781658416566Subjects--Topical Terms:

3436775
Alternative energy.
Subjects--Index Terms:

Convolutional neural network

Understanding Thermally Induced Flow in Porous Media for Electrochemical Energy Applications.
LDR:02837nmm a2200385 4500 001 2266246
005 20200608092716.5
008 220629s2020 ||||||||||||||||| ||eng d
020 $a 9781658416566
035 $a (MiAaPQ)AAI27735801
035 $a AAI27735801
040 $a MiAaPQ $c MiAaPQ
100 1 $a Shum, Andrew D. $3 3543431
245 1 0 $a Understanding Thermally Induced Flow in Porous Media for Electrochemical Energy Applications.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 111 p.
500 $a Source: Dissertations Abstracts International, Volume: 81-09, Section: B.
500 $a Advisor: Zenyuk, Iryna V.
502 $a Thesis (Ph.D.)--Tufts University, 2020.
506 $a This item must not be sold to any third party vendors.
520 $a Today, fossil fuels are a primary source of energy due to low prices and technology maturity. However, it is generally accepted that continued use of fossil fuels is not sustainable due to environmental impacts and eventual resource depletion. Many proposed solutions regarding renewable sources and a revised electric grid require dispatchable, sometimes distributable, energy storage/generation. Polymer-electrolyte fuel cells (PEFCs) are a promising energy-conversion technology not only for this purpose but also for the transportation industry. Using hydrogen gas and oxygen gas, PEFCs produce electric current and exhaust water.One of the remaining issues with PEFCs is water management. Achieving effective water management relies on a detailed understanding of the various water transport phenomena at work. Pressure gradients have been studied thoroughly through both experimental (including x-ray computed tomography (CT)) and computational means. Evaporative transport, however, has been studied primarily through computational means due to its complexity. In this work, synchrotron-based micro-scale x-ray CT is used to perform in-situ observation and measurement of evaporation in the porous carbon media used for PEFCs. Infrared thermography is used in addition to x-ray CT in order to observe the impact of various factors on the formation of cracks in the catalyst layer during fabrication. Lastly, out-of-the-box machine learning, including convolutional neural networks, are explored as a means for improving the speed and accuracy with which x-ray CT data can be processed for these materials.
590 $a School code: 0234.
650 4 $a Alternative energy. $3 3436775
650 4 $a Mechanical engineering. $3 649730
650 4 $a Materials science. $3 543314
653 $a Convolutional neural network
653 $a Evaporation
653 $a Fuel cell
653 $a Machine learning
653 $a Phase-change-induced flow
653 $a X-ray computed tomography
690 $a 0363
690 $a 0794
690 $a 0548
710 2 $a Tufts University. $b Mechanical Engineering. $3 1023777
773 0 $t Dissertations Abstracts International $g 81-09B.
790 $a 0234
791 $a Ph.D.
792 $a 2020
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27735801