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

A two-dimensional piezoresistivity m...

Scholle, Patrick.

FindBook

Google Book

Amazon

博客來

A two-dimensional piezoresistivity model for anisotropic materials and its application in self-sensing of carbon fiber reinforced plastics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	A two-dimensional piezoresistivity model for anisotropic materials and its application in self-sensing of carbon fiber reinforced plastics/ by Patrick Scholle.
作者:	Scholle, Patrick.
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	xv, 196 p. :ill. (some col.), digital ;24 cm.
內容註:	1. Introduction -- 2. State of the Art of Embedded Strain Sensors for Fiber Reinforced Plastics -- 3. Electrical Homogeneity and Fiber Waviness: Predominant Factors for Self-Strain-Sensing Carbon Fiber Structures - A Literature Study -- 4. Concerning the Influence of Current Inhomogeneity on Self-Strain-Sensing Properties of Carbon Fiber Reinforced Plastics -- 5. Direct Measurement of the Potential Distribution on Conducting Surfaces -- 6. Implementation Aspects of Self-Strain-Sensing Carbon Fiber Rods -- 7. Summary Conclusions and Outlook.
Contained By:	Springer Nature eBook
標題:	Fiber-reinforced plastics - Electric properties. -
電子資源:	https://doi.org/10.1007/978-3-031-23766-9
ISBN:	9783031237669

A two-dimensional piezoresistivity model for anisotropic materials and its application in self-sensing of carbon fiber reinforced plastics
Scholle, Patrick.

A two-dimensional piezoresistivity model for anisotropic materials and its application in self-sensing of carbon fiber reinforced plastics[electronic resource] /by Patrick Scholle. - Cham :Springer Nature Switzerland :2023. - xv, 196 p. :ill. (some col.), digital ;24 cm. - Mechanics and adaptronics,2731-622X. - Mechanics and adaptronics..

1. Introduction -- 2. State of the Art of Embedded Strain Sensors for Fiber Reinforced Plastics -- 3. Electrical Homogeneity and Fiber Waviness: Predominant Factors for Self-Strain-Sensing Carbon Fiber Structures - A Literature Study -- 4. Concerning the Influence of Current Inhomogeneity on Self-Strain-Sensing Properties of Carbon Fiber Reinforced Plastics -- 5. Direct Measurement of the Potential Distribution on Conducting Surfaces -- 6. Implementation Aspects of Self-Strain-Sensing Carbon Fiber Rods -- 7. Summary Conclusions and Outlook.

This thesis works on the topic of fiber-reinforced plastics and discusses the measurement of strain with embedded sensors. Embedding sensors into a structure fundamentally poses challenges arising from the differences in mechanical properties of sensor and structure. This thesis works on the research area of Self-Sensing, where these challenges are overcome by using carbon fibers for both load-carrying and strain-sensing functions. Starting with a literature review, this thesis proposes three research hypotheses, which are targeted to describe the Self-Sensing properties of unidirectional carbon fiber reinforced plastics (CFRPs) for strain measurements. These hypotheses assume, that the electric anisotropy of the material results in a complex voltage distribution within a Self-Sensing specimen. In order to discuss this point further, a two-dimensional piezoresistivity model based on the Laplace equation is introduced. The developed model newly allows to quantify the electric potential changes in specimens with arbitrary geometrical dimensions and electric anisotropy. Furthermore, this thesis discusses a set of experimental results on the piezoresistive properties of unidirectional CFRP made with the pultrusion process. Overall, the results of the experiments indicate that the most repeatable results are obtained for specimens with electric contacts at their cut-end. This approach allows to manufacture Self-Strain-Sensing rods with a gauge factor of approximately 1.9 that can be used in a multifunctional manner for both load-carrying and strain-sensing purposes. Furthermore, a novel measurement setup is developed, which allows to acquire the electric potential distribution on the surface of electrical conductors with very high spacial resolution. This experimental setup newly reveals that the current flow in specimens can be more complex than assumed in a two-dimensional model.

ISBN: 9783031237669

Standard No.: 10.1007/978-3-031-23766-9doiSubjects--Topical Terms:

3628901
Fiber-reinforced plastics
--Electric properties.

LC Class. No.: TA455.P55

Dewey Class. No.: 620.192397

A two-dimensional piezoresistivity model for anisotropic materials and its application in self-sensing of carbon fiber reinforced plastics
LDR:03569nmm a2200337 a 4500 001 2316033
003 DE-He213
005 20230302072135.0
006 m d
007 cr nn 008maaau
008 230902s2023 sz s 0 eng d
020 $a 9783031237669 $q (electronic bk.)
020 $a 9783031237652 $q (paper)
024 7 $a 10.1007/978-3-031-23766-9 $2 doi
035 $a 978-3-031-23766-9
040 $a GP $c GP
041 0 $a eng
050 4 $a TA455.P55
072 7 $a TGM $2 bicssc
072 7 $a TEC021000 $2 bisacsh
072 7 $a TGM $2 thema
082 0 4 $a 620.192397 $2 23
090 $a TA455.P55 $b S368 2023
100 1 $a Scholle, Patrick. $3 3628900
245 1 2 $a A two-dimensional piezoresistivity model for anisotropic materials and its application in self-sensing of carbon fiber reinforced plastics $h [electronic resource] / $c by Patrick Scholle.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2023.
300 $a xv, 196 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Mechanics and adaptronics, $x 2731-622X
505 0 $a 1. Introduction -- 2. State of the Art of Embedded Strain Sensors for Fiber Reinforced Plastics -- 3. Electrical Homogeneity and Fiber Waviness: Predominant Factors for Self-Strain-Sensing Carbon Fiber Structures - A Literature Study -- 4. Concerning the Influence of Current Inhomogeneity on Self-Strain-Sensing Properties of Carbon Fiber Reinforced Plastics -- 5. Direct Measurement of the Potential Distribution on Conducting Surfaces -- 6. Implementation Aspects of Self-Strain-Sensing Carbon Fiber Rods -- 7. Summary Conclusions and Outlook.
520 $a This thesis works on the topic of fiber-reinforced plastics and discusses the measurement of strain with embedded sensors. Embedding sensors into a structure fundamentally poses challenges arising from the differences in mechanical properties of sensor and structure. This thesis works on the research area of Self-Sensing, where these challenges are overcome by using carbon fibers for both load-carrying and strain-sensing functions. Starting with a literature review, this thesis proposes three research hypotheses, which are targeted to describe the Self-Sensing properties of unidirectional carbon fiber reinforced plastics (CFRPs) for strain measurements. These hypotheses assume, that the electric anisotropy of the material results in a complex voltage distribution within a Self-Sensing specimen. In order to discuss this point further, a two-dimensional piezoresistivity model based on the Laplace equation is introduced. The developed model newly allows to quantify the electric potential changes in specimens with arbitrary geometrical dimensions and electric anisotropy. Furthermore, this thesis discusses a set of experimental results on the piezoresistive properties of unidirectional CFRP made with the pultrusion process. Overall, the results of the experiments indicate that the most repeatable results are obtained for specimens with electric contacts at their cut-end. This approach allows to manufacture Self-Strain-Sensing rods with a gauge factor of approximately 1.9 that can be used in a multifunctional manner for both load-carrying and strain-sensing purposes. Furthermore, a novel measurement setup is developed, which allows to acquire the electric potential distribution on the surface of electrical conductors with very high spacial resolution. This experimental setup newly reveals that the current flow in specimens can be more complex than assumed in a two-dimensional model.
650 0 $a Fiber-reinforced plastics $x Electric properties. $3 3628901
650 0 $a Piezoelectricity. $3 649435
650 1 4 $a Materials Engineering. $3 2071625
650 2 4 $a Engineering Design. $3 891033
650 2 4 $a Mathematical and Computational Engineering Applications. $3 3592737
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Mechanics and adaptronics. $3 3625667
856 4 0 $u https://doi.org/10.1007/978-3-031-23766-9
950 $a Engineering (SpringerNature-11647)