The Experts below are selected from a list of 2205 Experts worldwide ranked by ideXlab platform

Derek Abbott - One of the best experts on this subject based on the ideXlab platform.

  • A Hi-Bi Ultra-Sensitive Surface Plasmon Resonance Fiber Sensor
    IEEE Access, 2019
    Co-Authors: Saiful Islam, Cristiano M. B. Cordeiro, Jakeya Sultana, Rifat Ahmmed Aoni, Shilun Feng, Rajib Ahmed, Mohsen Dorraki, Alex Dinovitser, Derek Abbott
    Abstract:

    In this paper, a simple, miniature, and highly sensitive photonic crystal fiber (PCF)-based surface plasmon resonance (SPR) sensor is proposed. The target analyte and the plasmonic material are at the outer surface of the fiber making practical applications feasible. A 30-nm gold (Au) layer supports surface plasmons. A thin titanium dioxide (TiO 2 ) layer is used to assist adhesion of Au on the glass fiber. The fiber cross section is formed purely by circular-shaped holes simplifying the Preform Manufacturing process. A high-birefringence (hi-bi) fiber is obtained by means of an array of air holes at the center of the fiber. A finite element method (FEM) is employed to analyze the surface plasmon properties of the proposed PCF-SPR sensor. By optimizing the geometric parameters, a maximum wavelength sensitivity (WS) of 25 000 nm/RIU and an amplitude sensitivity (AS) of 1411 RIU -1 for a dielectric refractive index (RI) range of 1.33-1.38 are obtained. Moreover, an estimated maximum resolution of 4 × 10 -6 and a figure of merit (FOM) of 502 are obtained that ensures high detection accuracy of small refractive index (RI) changes. Owing to its sensitivity and simple architecture, the proposed sensor has potential application in a range of sensing application, including biosensing.

Saiful Islam - One of the best experts on this subject based on the ideXlab platform.

  • A Hi-Bi Ultra-Sensitive Surface Plasmon Resonance Fiber Sensor
    IEEE Access, 2019
    Co-Authors: Saiful Islam, Cristiano M. B. Cordeiro, Jakeya Sultana, Rifat Ahmmed Aoni, Shilun Feng, Rajib Ahmed, Mohsen Dorraki, Alex Dinovitser, Derek Abbott
    Abstract:

    In this paper, a simple, miniature, and highly sensitive photonic crystal fiber (PCF)-based surface plasmon resonance (SPR) sensor is proposed. The target analyte and the plasmonic material are at the outer surface of the fiber making practical applications feasible. A 30-nm gold (Au) layer supports surface plasmons. A thin titanium dioxide (TiO 2 ) layer is used to assist adhesion of Au on the glass fiber. The fiber cross section is formed purely by circular-shaped holes simplifying the Preform Manufacturing process. A high-birefringence (hi-bi) fiber is obtained by means of an array of air holes at the center of the fiber. A finite element method (FEM) is employed to analyze the surface plasmon properties of the proposed PCF-SPR sensor. By optimizing the geometric parameters, a maximum wavelength sensitivity (WS) of 25 000 nm/RIU and an amplitude sensitivity (AS) of 1411 RIU -1 for a dielectric refractive index (RI) range of 1.33-1.38 are obtained. Moreover, an estimated maximum resolution of 4 × 10 -6 and a figure of merit (FOM) of 502 are obtained that ensures high detection accuracy of small refractive index (RI) changes. Owing to its sensitivity and simple architecture, the proposed sensor has potential application in a range of sensing application, including biosensing.

Chokri Cherif - One of the best experts on this subject based on the ideXlab platform.

  • Novel Weaving Technology for the Manufacture of 2D Net Shape Fabrics for Cost Effective Textile Reinforced Composites
    Autex Research Journal, 2018
    Co-Authors: Gerald Hoffmann, Chokri Cherif
    Abstract:

    Abstract Despite significant weight and performance advantages over metal parts, today’s demand for fiber-reinforced polymer composites (FRPC) has been limited mainly by their huge Manufacturing cost. The combination of dry textile Preforms and low-cost consolidation processes such as resin transfer molding (RTM) has been appointed as a promising approach to low-cost FRPC manufacture. This paper presents an advanced weaving technique developed with the aim to establish a more cost-effective system for the manufacture of dry textile Preforms for FRPC. 2D woven fabrics with integrated net shape selvedge can be obtained using the open reed weave (ORW) technology, enabling the manufacture of 2D cut patterns with firm edge, so that oversize cutting and hand trimming after molding are no longer required. The introduction of 2D woven fabrics with net shape selvedge helps to reduce material waste, cycle time and Preform Manufacturing cost significantly. Furthermore, higher grade of automation in Preform fabrication can be achieved.

  • 2D net shape weaving for cost effective manufacture of textile reinforced composites
    IOP Conference Series: Materials Science and Engineering, 2017
    Co-Authors: M Kern, Gerald Hoffmann, Chokri Cherif
    Abstract:

    Despite significant weight and performance advantages over metal parts, the today's demand for fibre-reinforced polymer composites (FRPC) has been limited mainly by their large Manufacturing cost. The combination of dry textile Preforms and low-cost consolidation processes such as resin transfer molding (RTM) has been appointed as a promising approach to low-cost FRPC manufacture. At the current state of the art, tooling and impregnation technology is well understood whereas Preform fabrication technology has not been developed effectively. This paper presents an advanced 2D net shape weaving technology developed with the aim to establish a more cost effective system for the manufacture of dry textile Preforms for FRPC. 2D net shape weaving is developed based on open reed weave (ORW) technology and enables the manufacture of 2D contoured woven fabrics with firm edge, so that oversize cutting and hand trimming after molding are no longer required. The introduction of 2D net shape woven fabrics helps to reduce material waste, cycle time and Preform Manufacturing cost significantly. Furthermore, higher grade of automation in Preform fabrication can be achieved.

  • decoupling the bending behavior and the membrane properties of finite shell elements for a correct description of the mechanical behavior of textiles with a laminate formulation
    Journal of Industrial Textiles, 2014
    Co-Authors: Oliver Döbrich, Sybille Krzywinski, Thomas Gereke, Olaf Diestel, Chokri Cherif
    Abstract:

    Drape simulation of textiles is a field of research, which is known in the clothing sector for a long time. The ongoing development of high-performance composites made of textile reinforcements and matrix materials focus the interests on a serial production in many industrial sectors, such as aviation and automotive industries. Challenges occur mainly in the serial production technologies and in supplying concepts for the Preform architecture and shape. Research aims on the acceleration of Preform Manufacturing and the reduction of expensive pretests. Numerical simulation models can help to improve the composite development chain with structure and process simulation. A special challenge in drape modeling is the bending behavior of textiles. This study introduces a novel approach for modeling single textile layers as laminates to gain a correct mechanical behavior, where all deformation mechanisms are uncoupled. The implementation in the finite element software LS-DYNA® is described. An algorithm is intro...

  • Decoupling the bending behavior and the membrane properties of finite shell elements for a correct description of the mechanical behavior of textiles with a laminate formulation
    Journal of Industrial Textiles, 2014
    Co-Authors: Oliver Döbrich, Sybille Krzywinski, Thomas Gereke, Olaf Diestel, Chokri Cherif
    Abstract:

    Drape simulation of textiles is a field of research, which is known in the clothing sector for a long time. The ongoing development of high-performance composites made of textile reinforcements and matrix materials focus the interests on a serial production in many industrial sectors, such as aviation and automotive industries. Challenges occur mainly in the serial production technologies and in supplying concepts for the Preform architecture and shape. Research aims on the acceleration of Preform Manufacturing and the reduction of expensive pretests. Numerical simulation models can help to improve the composite development chain with structure and process simulation. A special challenge in drape modeling is the bending behavior of textiles. This study introduces a novel approach for modeling single textile layers as laminates to gain a correct mechanical behavior, where all deformation mechanisms are uncoupled. The implementation in the finite element software LS-DYNA (R) is described. An algorithm is introduced which provides the membrane stiffness for each layer of a laminate to fit the measured cantilever bending stiffness of textiles in every bending direction and bending side. The calculated parameters for the laminate formulation result in the requested bending stiffness for the textile layer. The cantilever bending stiffness can be used directly for dimensioning the model.

Jakeya Sultana - One of the best experts on this subject based on the ideXlab platform.

  • A Hi-Bi Ultra-Sensitive Surface Plasmon Resonance Fiber Sensor
    IEEE Access, 2019
    Co-Authors: Saiful Islam, Cristiano M. B. Cordeiro, Jakeya Sultana, Rifat Ahmmed Aoni, Shilun Feng, Rajib Ahmed, Mohsen Dorraki, Alex Dinovitser, Derek Abbott
    Abstract:

    In this paper, a simple, miniature, and highly sensitive photonic crystal fiber (PCF)-based surface plasmon resonance (SPR) sensor is proposed. The target analyte and the plasmonic material are at the outer surface of the fiber making practical applications feasible. A 30-nm gold (Au) layer supports surface plasmons. A thin titanium dioxide (TiO 2 ) layer is used to assist adhesion of Au on the glass fiber. The fiber cross section is formed purely by circular-shaped holes simplifying the Preform Manufacturing process. A high-birefringence (hi-bi) fiber is obtained by means of an array of air holes at the center of the fiber. A finite element method (FEM) is employed to analyze the surface plasmon properties of the proposed PCF-SPR sensor. By optimizing the geometric parameters, a maximum wavelength sensitivity (WS) of 25 000 nm/RIU and an amplitude sensitivity (AS) of 1411 RIU -1 for a dielectric refractive index (RI) range of 1.33-1.38 are obtained. Moreover, an estimated maximum resolution of 4 × 10 -6 and a figure of merit (FOM) of 502 are obtained that ensures high detection accuracy of small refractive index (RI) changes. Owing to its sensitivity and simple architecture, the proposed sensor has potential application in a range of sensing application, including biosensing.

Rifat Ahmmed Aoni - One of the best experts on this subject based on the ideXlab platform.

  • A Hi-Bi Ultra-Sensitive Surface Plasmon Resonance Fiber Sensor
    IEEE Access, 2019
    Co-Authors: Saiful Islam, Cristiano M. B. Cordeiro, Jakeya Sultana, Rifat Ahmmed Aoni, Shilun Feng, Rajib Ahmed, Mohsen Dorraki, Alex Dinovitser, Derek Abbott
    Abstract:

    In this paper, a simple, miniature, and highly sensitive photonic crystal fiber (PCF)-based surface plasmon resonance (SPR) sensor is proposed. The target analyte and the plasmonic material are at the outer surface of the fiber making practical applications feasible. A 30-nm gold (Au) layer supports surface plasmons. A thin titanium dioxide (TiO 2 ) layer is used to assist adhesion of Au on the glass fiber. The fiber cross section is formed purely by circular-shaped holes simplifying the Preform Manufacturing process. A high-birefringence (hi-bi) fiber is obtained by means of an array of air holes at the center of the fiber. A finite element method (FEM) is employed to analyze the surface plasmon properties of the proposed PCF-SPR sensor. By optimizing the geometric parameters, a maximum wavelength sensitivity (WS) of 25 000 nm/RIU and an amplitude sensitivity (AS) of 1411 RIU -1 for a dielectric refractive index (RI) range of 1.33-1.38 are obtained. Moreover, an estimated maximum resolution of 4 × 10 -6 and a figure of merit (FOM) of 502 are obtained that ensures high detection accuracy of small refractive index (RI) changes. Owing to its sensitivity and simple architecture, the proposed sensor has potential application in a range of sensing application, including biosensing.