東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Advanced Topology Optimization Techniques for Engineering and Biomedical Problems.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advanced Topology Optimization Techniques for Engineering and Biomedical Problems./
作者:	Park, Jaejong.
面頁冊數:	1 online resource (177 pages)
附註:	Source: Dissertations Abstracts International, Volume: 82-07, Section: B.
Contained By:	Dissertations Abstracts International82-07B.
標題:	Mechanical engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28355510click for full text (PQDT)
ISBN:	9798557087278

Advanced Topology Optimization Techniques for Engineering and Biomedical Problems.
Park, Jaejong.

Advanced Topology Optimization Techniques for Engineering and Biomedical Problems. - 1 online resource (177 pages)

Source: Dissertations Abstracts International, Volume: 82-07, Section: B.

Thesis (Ph.D.)--The Ohio State University, 2018.

Includes bibliographical references

Modern manufacturing advances such as layer-by-layer material joining process in 3D printing have added a new dimension to engineering design problems by providing greater flexibility. Sophisticated structural features in the internal architecture or complex geometries can be manipulated and implemented to enhance the performance of the final structure. Topology optimization is a powerful numerical tool that provides engineers an efficient way to realize innovative designs at an early design stage. It seeks the optimum distribution of limited material volume within a predefined design domain for the optimization objective against a set of constraints. This makes it an attractive tool for obtaining the non-intuitive mechanical design of complex structures in the aerospace, automotive and biomedical industries among others. Effective and systematic topology optimization methods that can fully leverage the capabilities of the recent manufacturing developments needs to be developed. In this thesis work, novel topology optimization methods are formulated which allows the design of multi-material, geometrically complex structures, and functional microstructures. A robust and effcient multi-material method for 3D topology optimization problems is formulated that breaks the original multi-material problem into a series of binary phase topology optimization problems then solves sequentially similar to the Gauss-Seidel method. The efficiency and accuracy are improved by implementing the multi-resolution technique. Using relatively coarser mesh for displacement field compared to the design and density variables allows reduced CPU time for solving the system equation. Also, a topology optimization technique to design structures in microscale is provided. Homogenization method allows analysis of composite materials by considering an effective continuum with repetitive microstructures. An objective is formulated in topology optimization that designs microstructure so that when it is repeated through the macroscopic domain, the structure can obtain a certain target elastic properties. Finally, the topological complexity can be controlled by introducing an additional geometric constraint in the formulation. Lower bound in the perimeter value, which is defined as the sum of inner and outer boundaries, can drive the final topology to have more holes. This leads to a structure with more refined load transfer paths, and it can generate structurally sound internal architectures for an effective light weighting of currently existing engineering solutions. The addition of design capabilities of multi-material, microstructures, complex geometries in this work will provide the basis of advanced manufacturing centric topology optimization framework.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798557087278Subjects--Topical Terms:

649730
Mechanical engineering.
Subjects--Index Terms:

Topology optimizationIndex Terms--Genre/Form:

542853
Electronic books.

Advanced Topology Optimization Techniques for Engineering and Biomedical Problems.
LDR:04216nmm a2200409K 4500 001 2357873
005 20230725053800.5
006 m o d
007 cr mn ---uuuuu
008 241011s2018 xx obm 000 0 eng d
020 $a 9798557087278
035 $a (MiAaPQ)AAI28355510
035 $a (MiAaPQ)OhioLINKosu1534347400733419
035 $a AAI28355510
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Park, Jaejong. $3 3698402
245 1 0 $a Advanced Topology Optimization Techniques for Engineering and Biomedical Problems.
264 0 $c 2018
300 $a 1 online resource (177 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: Dissertations Abstracts International, Volume: 82-07, Section: B.
500 $a Advisor: Sutradhar, Alok.
502 $a Thesis (Ph.D.)--The Ohio State University, 2018.
504 $a Includes bibliographical references
520 $a Modern manufacturing advances such as layer-by-layer material joining process in 3D printing have added a new dimension to engineering design problems by providing greater flexibility. Sophisticated structural features in the internal architecture or complex geometries can be manipulated and implemented to enhance the performance of the final structure. Topology optimization is a powerful numerical tool that provides engineers an efficient way to realize innovative designs at an early design stage. It seeks the optimum distribution of limited material volume within a predefined design domain for the optimization objective against a set of constraints. This makes it an attractive tool for obtaining the non-intuitive mechanical design of complex structures in the aerospace, automotive and biomedical industries among others. Effective and systematic topology optimization methods that can fully leverage the capabilities of the recent manufacturing developments needs to be developed. In this thesis work, novel topology optimization methods are formulated which allows the design of multi-material, geometrically complex structures, and functional microstructures. A robust and effcient multi-material method for 3D topology optimization problems is formulated that breaks the original multi-material problem into a series of binary phase topology optimization problems then solves sequentially similar to the Gauss-Seidel method. The efficiency and accuracy are improved by implementing the multi-resolution technique. Using relatively coarser mesh for displacement field compared to the design and density variables allows reduced CPU time for solving the system equation. Also, a topology optimization technique to design structures in microscale is provided. Homogenization method allows analysis of composite materials by considering an effective continuum with repetitive microstructures. An objective is formulated in topology optimization that designs microstructure so that when it is repeated through the macroscopic domain, the structure can obtain a certain target elastic properties. Finally, the topological complexity can be controlled by introducing an additional geometric constraint in the formulation. Lower bound in the perimeter value, which is defined as the sum of inner and outer boundaries, can drive the final topology to have more holes. This leads to a structure with more refined load transfer paths, and it can generate structurally sound internal architectures for an effective light weighting of currently existing engineering solutions. The addition of design capabilities of multi-material, microstructures, complex geometries in this work will provide the basis of advanced manufacturing centric topology optimization framework.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Mechanical engineering. $3 649730
650 4 $a Biomedical engineering. $3 535387
650 4 $a Bioengineering. $3 657580
653 $a Topology optimization
653 $a Multi-material
653 $a Multi-resolution
653 $a Functional material
653 $a Perimeter control
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0548
690 $a 0202
690 $a 0541
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a The Ohio State University. $b Mechanical Engineering. $3 1684523
773 0 $t Dissertations Abstracts International $g 82-07B.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28355510 $z click for full text (PQDT)