語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Molecular Modeling of High-Performance Polymers.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Molecular Modeling of High-Performance Polymers./
作者:
Patil, Sagar Umesh.
面頁冊數:
1 online resource (248 pages)
附註:
Source: Dissertations Abstracts International, Volume: 84-03, Section: B.
Contained By:
Dissertations Abstracts International84-03B.
標題:
Molecular chemistry. -
電子資源:
click for full text (PQDT)
ISBN:
9798841795940
Molecular Modeling of High-Performance Polymers.
Patil, Sagar Umesh.
Molecular Modeling of High-Performance Polymers.
- 1 online resource (248 pages)
Source: Dissertations Abstracts International, Volume: 84-03, Section: B.
Thesis (Ph.D.)--Michigan Technological University, 2022.
Includes bibliographical references
High-performance polymers are extensively used in the aerospace and aeronautics industries due to their low density, high specific strength, and high specific stiffness. These properties along with better infiltration with reinforcements [carbon nanotubes (CNTs), glass, etc.] capability make them an excellent candidate to fabricate Polymer Matrix Composites (PMCs) tailored for specific applications. The applications range from products used daily to deep space exploration. These materials are subjected to varying temperatures and pressures during fabrication and in service. Therefore, the evolution of their intrinsic properties needs to be studied and their ability to sustain extreme environmental conditions in outer space needs to be investigated. Utilizing experimental techniques for this purpose is time-consuming and expensive. Predictive computational tools like molecular dynamics (MD) can be used for such studies as they are quick and inexpensive relative to experiments. Furthermore, it reduces the overall time in designing and deploying the next generation of composite materials. In this work, MD is implemented to model self-assembled stacks of flattened CNTs (flCNTs) and polyimide composites to investigate the interfacial properties at the interface between flCNT and polyimides. Fluorinated and non-fluorinated polyimides are compared based on interaction energy, friction force, and transverse strength. The reactive interface force field (IFF-R) is validated to predict thermo-mechanical properties of epoxies for varying degrees of cure. These nanoscale properties provide a set of inputs for microscale analysis to predict the evolution of residual stresses for the process modeling of composites. In order to use nanoscale mechanical properties as inputs, they need to be corrected for the strain-rate discrepancy associated with several orders of magnitude difference between experimental and simulated strain rates. A phenomenological approach to account for this strain-rate difference is developed based on experimental characterization data. Once the MD properties are corrected, they can be used in microscale analysis to accurately predict residual stresses.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024
Mode of access: World Wide Web
ISBN: 9798841795940Subjects--Topical Terms:
1179636
Molecular chemistry.
Subjects--Index Terms:
CrosslinkingIndex Terms--Genre/Form:
554714
Electronic books.
Molecular Modeling of High-Performance Polymers.
LDR
:03628ntm a22004337 4500
001
1149492
005
20241022112111.5
006
m o d
007
cr bn ---uuuuu
008
250605s2022 xx obm 000 0 eng d
020
$a
9798841795940
035
$a
(MiAaPQ)AAI29260907
035
$a
AAI29260907
040
$a
MiAaPQ
$b
eng
$c
MiAaPQ
$d
NTU
100
1
$a
Patil, Sagar Umesh.
$3
1475751
245
1 0
$a
Molecular Modeling of High-Performance Polymers.
264
0
$c
2022
300
$a
1 online resource (248 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: 84-03, Section: B.
500
$a
Advisor: Odegard, Gregory M.;Ghosh, Susanta.
502
$a
Thesis (Ph.D.)--Michigan Technological University, 2022.
504
$a
Includes bibliographical references
520
$a
High-performance polymers are extensively used in the aerospace and aeronautics industries due to their low density, high specific strength, and high specific stiffness. These properties along with better infiltration with reinforcements [carbon nanotubes (CNTs), glass, etc.] capability make them an excellent candidate to fabricate Polymer Matrix Composites (PMCs) tailored for specific applications. The applications range from products used daily to deep space exploration. These materials are subjected to varying temperatures and pressures during fabrication and in service. Therefore, the evolution of their intrinsic properties needs to be studied and their ability to sustain extreme environmental conditions in outer space needs to be investigated. Utilizing experimental techniques for this purpose is time-consuming and expensive. Predictive computational tools like molecular dynamics (MD) can be used for such studies as they are quick and inexpensive relative to experiments. Furthermore, it reduces the overall time in designing and deploying the next generation of composite materials. In this work, MD is implemented to model self-assembled stacks of flattened CNTs (flCNTs) and polyimide composites to investigate the interfacial properties at the interface between flCNT and polyimides. Fluorinated and non-fluorinated polyimides are compared based on interaction energy, friction force, and transverse strength. The reactive interface force field (IFF-R) is validated to predict thermo-mechanical properties of epoxies for varying degrees of cure. These nanoscale properties provide a set of inputs for microscale analysis to predict the evolution of residual stresses for the process modeling of composites. In order to use nanoscale mechanical properties as inputs, they need to be corrected for the strain-rate discrepancy associated with several orders of magnitude difference between experimental and simulated strain rates. A phenomenological approach to account for this strain-rate difference is developed based on experimental characterization data. Once the MD properties are corrected, they can be used in microscale analysis to accurately predict residual stresses.
533
$a
Electronic reproduction.
$b
Ann Arbor, Mich. :
$c
ProQuest,
$d
2024
538
$a
Mode of access: World Wide Web
650
4
$a
Molecular chemistry.
$3
1179636
650
4
$a
Chemical engineering.
$3
555952
650
4
$a
Polymer chemistry.
$3
1182163
650
4
$a
Nanoscience.
$3
632473
650
4
$a
Mechanical engineering.
$3
557493
653
$a
Crosslinking
653
$a
Curing
653
$a
Force field
653
$a
Molecular dynamics
653
$a
Process modeling
653
$a
Strain rate
655
7
$a
Electronic books.
$2
local
$3
554714
690
$a
0548
690
$a
0565
690
$a
0495
690
$a
0431
690
$a
0542
710
2
$a
Michigan Technological University.
$b
Mechanical Engineering-Engineering Mechanics.
$3
1179003
710
2
$a
ProQuest Information and Learning Co.
$3
1178819
773
0
$t
Dissertations Abstracts International
$g
84-03B.
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29260907
$z
click for full text (PQDT)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入