國立虎尾科技大學 |

Towards Integrating Topology Optimization and Additive Manufacturing.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Towards Integrating Topology Optimization and Additive Manufacturing./
作者:	Mirzendehdel, Amir M.
面頁冊數:	1 online resource (133 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
Contained By:	Dissertation Abstracts International79-01B(E).
標題:	Mechanical engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780355189377

Towards Integrating Topology Optimization and Additive Manufacturing.
Mirzendehdel, Amir M.

Towards Integrating Topology Optimization and Additive Manufacturing. - 1 online resource (133 pages)

Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.

Thesis (Ph.D.)

Includes bibliographical references

Topology optimization (TO) is an automated design tool that integrates mathematical modeling with numerical analysis to automatically reduce weight and material usage while ensuring certain prescribed constraints on performance of the design are satisfied. The high-performance light-weight designs created through topology optimization are often free-form and organic, manufacturing of which through traditional casting, forming, or subtractive technologies can become quite challenging. Additive manufacturing (AM) is a class of more modern technologies that seem to alleviate this issue by fabricating complex parts layer by layer. On the other hand, the cost of additively manufactured parts increase significantly with material usage. Therefore, optimizing designs can reduce material usage, build time, and post-process time to make AM worthwhile. Thus, TO and AM complement each other to fabricate ever more complex high performance and customized yet affordable products. However, for these technologies to be integrated, there are certain issues, such as extraneous support structures or material anisotropy, that need to be considered within the optimization. Focus of this thesis is mainly on:

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355189377Subjects--Topical Terms:

557493
Mechanical engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Towards Integrating Topology Optimization and Additive Manufacturing.
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100 1 $a Mirzendehdel, Amir M. $3 1181903
245 1 0 $a Towards Integrating Topology Optimization and Additive Manufacturing.
264 0 $c 2017
300 $a 1 online resource (133 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
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500 $a Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
500 $a Adviser: Krishnan Suresh.
502 $a Thesis (Ph.D.) $c The University of Wisconsin - Madison $d 2017.
504 $a Includes bibliographical references
520 $a Topology optimization (TO) is an automated design tool that integrates mathematical modeling with numerical analysis to automatically reduce weight and material usage while ensuring certain prescribed constraints on performance of the design are satisfied. The high-performance light-weight designs created through topology optimization are often free-form and organic, manufacturing of which through traditional casting, forming, or subtractive technologies can become quite challenging. Additive manufacturing (AM) is a class of more modern technologies that seem to alleviate this issue by fabricating complex parts layer by layer. On the other hand, the cost of additively manufactured parts increase significantly with material usage. Therefore, optimizing designs can reduce material usage, build time, and post-process time to make AM worthwhile. Thus, TO and AM complement each other to fabricate ever more complex high performance and customized yet affordable products. However, for these technologies to be integrated, there are certain issues, such as extraneous support structures or material anisotropy, that need to be considered within the optimization. Focus of this thesis is mainly on:
520 $a 1. Addressing challenges on reducing amount of support structure and considering process-induced anisotropy throughout the optimization process.
520 $a 2. Exploiting the capabilities of AM in free-form fabrication to improve performance by generating more complex multi-material designs.
520 $a In other words, the present thesis attempts to make advances on integrating the two modern and promising fields, topology optimization and additive manufacturing by developing optimization algorithms that generate optimized designs while tracing Pareto frontiers. Perhaps the most important benefit of this class of methods is the fact that intermediate topologies remain structurally valid, thus iterative solvers can converge much faster. Further, these intermediate designs are local optimum solutions. These traits make these methods well-suited for rapidly exploring the design space to find freeform designs while ensuring their structural integrity.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Mechanical engineering. $3 557493
655 7 $a Electronic books. $2 local $3 554714
690 $a 0548
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a The University of Wisconsin - Madison. $b Mechanical Engineering. $3 1148705
773 0 $t Dissertation Abstracts International $g 79-01B(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10621482 $z click for full text (PQDT)