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

Computational Studies of the Mechani...

Nawano, Aya.

FindBook

Google Book

Amazon

博客來

Computational Studies of the Mechanical Properties of Metallic Glasses.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational Studies of the Mechanical Properties of Metallic Glasses./
作者:	Nawano, Aya.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	101 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-01, Section: B.
Contained By:	Dissertations Abstracts International85-01B.
標題:	Physics. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30310450
ISBN:	9798379779153

Computational Studies of the Mechanical Properties of Metallic Glasses.
Nawano, Aya.

Computational Studies of the Mechanical Properties of Metallic Glasses. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 101 p.

Source: Dissertations Abstracts International, Volume: 85-01, Section: B.

Thesis (Ph.D.)--Yale University, 2023.

Metallic glasses are alloys with amorphous atomic structures. They possess promising mechanical properties such as larger values for the strength and elastic limit compared to those for conventional crystalline alloys; however, they are typically brittle under tensile loading at room temperature. To use metallic glasses as structural materials, it is important to develop methods to predict their mechanical response as a function of the microstructure prior to loading. We developed a novel coarse-grained spring network model, which describes the mechanical response of metallic glasses using an equivalent series network of springs that can break and re-form to mimic atomic rearrangements during deformation. To validate the spring network model, we performed numerical simulations of quasistatic, uniaxial tensile deformation of Lennard-Jones and embedded atom method (EAM) potentials for Cu50Zr50 metallic glasses in the absence of large-scale shear band formation. We considered samples prepared using a wide range of cooling rates and with different amounts of crystalline order. By specifying five parameters in the spring network model that can be directly related to five key features of the shape of the stress versus strain curve, we can accurately describe the form of the stress-strain curves during uniaxial tension for the computational studies of Cu50Zr50, as well as experimental studies of Zr65Al10Ni10Cu15 metallic glasses deformed at high temperatures. For the computational studies of Cu50Zr50, we find that the elements in the spring network model can withstand longer elongations for slowly cooled glasses compared to rapidly cooled glasses. In addition, the average number of new springs and their rate of formation decreases with decreasing cooling rate. These effects offset each other at large strains, causing the stress-strain curve to become independent of the sample preparation protocol in this regime. Finally, we show the preliminary work on using the spring network model on more brittle samples prepared with hybrid molecular dynamics and Monte Carlo simulations. We found that the spring network model gives a good quality fit to the mechanical responses of these samples. However, the error of the fits increases as the effective cooling rate is lowered. Future studies would include extracting the parameters that define the spring network model directly from atomic rearrangements that occur during uniaxial deformation, applying the spring network model to brittle samples that develop shear bands, and improving the fits of the spring network model to stress versus strain curves obtained from brittle samples.

ISBN: 9798379779153Subjects--Topical Terms:

516296
Physics.
Subjects--Index Terms:

Metallic glasses

Computational Studies of the Mechanical Properties of Metallic Glasses.
LDR:03820nmm a2200385 4500 001 2403541
005 20241118135822.5
006 m o d
007 cr#unu||||||||
008 251215s2023 ||||||||||||||||| ||eng d
020 $a 9798379779153
035 $a (MiAaPQ)AAI30310450
035 $a AAI30310450
040 $a MiAaPQ $c MiAaPQ
100 1 $a Nawano, Aya. $3 3773813
245 1 0 $a Computational Studies of the Mechanical Properties of Metallic Glasses.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 101 p.
500 $a Source: Dissertations Abstracts International, Volume: 85-01, Section: B.
500 $a Advisor: O'Hern, Corey S.
502 $a Thesis (Ph.D.)--Yale University, 2023.
520 $a Metallic glasses are alloys with amorphous atomic structures. They possess promising mechanical properties such as larger values for the strength and elastic limit compared to those for conventional crystalline alloys; however, they are typically brittle under tensile loading at room temperature. To use metallic glasses as structural materials, it is important to develop methods to predict their mechanical response as a function of the microstructure prior to loading. We developed a novel coarse-grained spring network model, which describes the mechanical response of metallic glasses using an equivalent series network of springs that can break and re-form to mimic atomic rearrangements during deformation. To validate the spring network model, we performed numerical simulations of quasistatic, uniaxial tensile deformation of Lennard-Jones and embedded atom method (EAM) potentials for Cu50Zr50 metallic glasses in the absence of large-scale shear band formation. We considered samples prepared using a wide range of cooling rates and with different amounts of crystalline order. By specifying five parameters in the spring network model that can be directly related to five key features of the shape of the stress versus strain curve, we can accurately describe the form of the stress-strain curves during uniaxial tension for the computational studies of Cu50Zr50, as well as experimental studies of Zr65Al10Ni10Cu15 metallic glasses deformed at high temperatures. For the computational studies of Cu50Zr50, we find that the elements in the spring network model can withstand longer elongations for slowly cooled glasses compared to rapidly cooled glasses. In addition, the average number of new springs and their rate of formation decreases with decreasing cooling rate. These effects offset each other at large strains, causing the stress-strain curve to become independent of the sample preparation protocol in this regime. Finally, we show the preliminary work on using the spring network model on more brittle samples prepared with hybrid molecular dynamics and Monte Carlo simulations. We found that the spring network model gives a good quality fit to the mechanical responses of these samples. However, the error of the fits increases as the effective cooling rate is lowered. Future studies would include extracting the parameters that define the spring network model directly from atomic rearrangements that occur during uniaxial deformation, applying the spring network model to brittle samples that develop shear bands, and improving the fits of the spring network model to stress versus strain curves obtained from brittle samples.
590 $a School code: 0265.
650 4 $a Physics. $3 516296
650 4 $a Materials science. $3 543314
650 4 $a Applied physics. $3 3343996
653 $a Metallic glasses
653 $a Mechanical properties
653 $a Embedded atom method
653 $a Sample preparation protocol
653 $a Atomic rearrangements
690 $a 0605
690 $a 0794
690 $a 0215
710 2 $a Yale University. $b Mechanical Engineering and Materials Science. $3 2106379
773 0 $t Dissertations Abstracts International $g 85-01B.
790 $a 0265
791 $a Ph.D.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30310450