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

Study of the Automation of Disassemb...

Hellmuth, Jan Friedrich,

Linked to FindBook

Google Book

Amazon

博客來

Study of the Automation of Disassembly of Electric Vehicle Batteries /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Study of the Automation of Disassembly of Electric Vehicle Batteries // Jan Friedrich Hellmuth.
Author:	Hellmuth, Jan Friedrich,
Description:	1 electronic resource (166 pages)
Notes:	Source: Masters Abstracts International, Volume: 82-02.
Contained By:	Masters Abstracts International82-02.
Subject:	Mechanical engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28029667
ISBN:	9798662597068

Study of the Automation of Disassembly of Electric Vehicle Batteries /
Hellmuth, Jan Friedrich,

Study of the Automation of Disassembly of Electric Vehicle Batteries /Jan Friedrich Hellmuth. - 1 electronic resource (166 pages)

Source: Masters Abstracts International, Volume: 82-02.

Electric vehicles offer an environment friendly solution to mobility. An assessment of automation potentials in the recycling of electric vehicle (EV) batteries and a simulation of two different disassembly cell layouts was conducted in this thesis. This study was broken up into three distinct parts. First a literature review is presented for examining recent developments and challenges in the disassembly of electric vehicle batteries. Because of the large variety in the designs of EV batteries, human-robot collaboration was suggested. Based on the review, an assessment of automation potentials was conducted using as an example the 2017 Chevrolet Bolt battery. A disassembly graph was developed that shows all constraints of the parts and fastener and a disassembly sequence with 46 disassembly steps was also developed. For assessing single disassembly steps in terms of economic feasibility and technical possibilities in automation, a criteria catalogue was developed and applied on a large battery electric vehicle and a small hybrid electric vehicle. The results were compared to similar assessments and a comparison of the different types of EV batteries towards disassembly was conducted. For large battery electric vehicles automation of disassembly operations is more feasible but also technically more challenging. In the third part, a simulation disassembly layout was created, that compares a layout with a Cartesian gantry robot with a layout that used two collaborative robots. It was shown that the collaborative robots that were proposed for the disassembly of hybrid vehicle batteries face difficulties in disassembly of large battery electric vehicles due to the large size and heavy parts. The comparison of both layouts favors the use of a Cartesian gantry robot because the disassembly is faster and also the disassembly steps that include large and heavy parts can also be performed.

English

ISBN: 9798662597068Subjects--Topical Terms:

649730
Mechanical engineering.
Subjects--Index Terms:

Automation

Study of the Automation of Disassembly of Electric Vehicle Batteries /
LDR:03290nmm a22004213i 4500 001 2433959
005 20250905091316.5
006 m o d
007 cr|nu||||||||
008 261011s2020 miu||||||m |||||||eng d
020 $a 9798662597068
035 $a (MiAaPQD)AAI28029667
035 $a AAI28029667
040 $a MiAaPQD $b eng $c MiAaPQD $e rda
100 1 $a Hellmuth, Jan Friedrich, $e author. $3 3823772
245 1 0 $a Study of the Automation of Disassembly of Electric Vehicle Batteries / $c Jan Friedrich Hellmuth.
264 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2020
300 $a 1 electronic resource (166 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 82-02.
500 $a Advisors: Jouaneh, Musa Committee members: Yuan, Chengzhi; Dahl, Jason; Berka, Sigrid.
502 $b M.S. $c University of Rhode Island $d 2020.
520 $a Electric vehicles offer an environment friendly solution to mobility. An assessment of automation potentials in the recycling of electric vehicle (EV) batteries and a simulation of two different disassembly cell layouts was conducted in this thesis. This study was broken up into three distinct parts. First a literature review is presented for examining recent developments and challenges in the disassembly of electric vehicle batteries. Because of the large variety in the designs of EV batteries, human-robot collaboration was suggested. Based on the review, an assessment of automation potentials was conducted using as an example the 2017 Chevrolet Bolt battery. A disassembly graph was developed that shows all constraints of the parts and fastener and a disassembly sequence with 46 disassembly steps was also developed. For assessing single disassembly steps in terms of economic feasibility and technical possibilities in automation, a criteria catalogue was developed and applied on a large battery electric vehicle and a small hybrid electric vehicle. The results were compared to similar assessments and a comparison of the different types of EV batteries towards disassembly was conducted. For large battery electric vehicles automation of disassembly operations is more feasible but also technically more challenging. In the third part, a simulation disassembly layout was created, that compares a layout with a Cartesian gantry robot with a layout that used two collaborative robots. It was shown that the collaborative robots that were proposed for the disassembly of hybrid vehicle batteries face difficulties in disassembly of large battery electric vehicles due to the large size and heavy parts. The comparison of both layouts favors the use of a Cartesian gantry robot because the disassembly is faster and also the disassembly steps that include large and heavy parts can also be performed.
546 $a English
590 $a School code: 0186
650 4 $a Mechanical engineering. $3 649730
650 4 $a Mechanics. $3 525881
653 $a Automation
653 $a Disassembly
653 $a Electronic vehicle batteries
653 $a Recycling
653 $a Robotics
690 $a 0548
690 $a 0346
710 2 $a University of Rhode Island. $b Mechanical Engineering and Applied Mechanics. $e degree granting institution. $3 3823773
720 1 $a Jouaneh, Musa $e degree supervisor.
773 0 $t Masters Abstracts International $g 82-02.
790 $a 0186
791 $a M.S.
792 $a 2020
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28029667