Design of an Aluminum/Polymer Plasmonic 2D Crystal for Label-Free Optical Biosensing

A design study of a nanostructured two-dimensional plasmonic crystal based on aluminum and polymeric material for label-free optical biosensing is presented. The structure is formed of Al nanohole and nanodisk array layers physically separated by a polymeric film. The photonic configuration was analyzed through finite-difference time-domain (FDTD) simulations. The calculated spectral reflectance of the device exhibits a surface plasmon polariton (SPP) resonance feature sensitive to the presence of a modeled biolayer adhered onto the metal surfaces. Simulations also reveal that the Al disks suppress an undesired SPP resonance, improving the device performance in terms of resolution as compared to that of a similar configuration without Al disks. On the basis of manufacturability issues, nanohole diameter and depth were considered as design parameters, and a multi-objective optimization process was employed to determine the optimum dimensional values from both performance and fabrication points of view. The effect of Al oxidation, which is expected to occur in an actual device, was also studied.

Download Full-text

Multi-objective optimization of squirrel cage fan for range hood based on Kriging model

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/0954406221995863 ◽

2021 ◽

pp. 095440622199586

Author(s):

Qianhao Xiao ◽

Jun Wang ◽

Boyan Jiang ◽

Weigang Yang ◽

Xiaopei Yang

Keyword(s):

Flow Rate ◽

Optimization Design ◽

Volume Flow Rate ◽

Kriging Model ◽

Volume Flow ◽

Design Parameters ◽

Multi Objective Optimization ◽

Nsga Ii ◽

Multi Objective ◽

Squirrel Cage

In view of the multi-objective optimization design of the squirrel cage fan for the range hood, a blade parameterization method based on the quadratic non-uniform B-spline (NUBS) determined by four control points was proposed to control the outlet angle, chord length and maximum camber of the blade. Morris-Mitchell criteria were used to obtain the optimal Latin hypercube sample based on the evolutionary operation, and different subsets of sample numbers were created to study the influence of sample numbers on the multi-objective optimization results. The Kriging model, which can accurately reflect the response relationship between design variables and optimization objectives, was established. The second-generation Non-dominated Sorting Genetic algorithm (NSGA-II) was used to optimize the volume flow rate at the best efficiency point (BEP) and the maximum volume flow rate point (MVP). The results show that the design parameters corresponding to the optimization results under different sample numbers are not the same, and the fluctuation range of the optimal design parameters is related to the influence of the design parameters on the optimization objectives. Compared with the prototype, the optimized impeller increases the radial velocity of the impeller outlet, reduces the flow loss in the volute, and increases the diffusion capacity, which improves the volume flow rate, and efficiency of the range hood system under multiple working conditions.

Download Full-text

Finite Difference Time Domain (FDTD) Simulations Using Graphics Processors

10.1109/hpcmp-ugc.2007.34 ◽

2007 ◽

Cited By ~ 37

Author(s):

S. Adams ◽

J. Payne ◽

R. Boppana

Keyword(s):

Finite Difference ◽

Time Domain ◽

Finite Difference Time Domain ◽

Graphics Processors ◽

Fdtd Simulations ◽

Difference Time

Download Full-text

Thermal Radiative Properties of Vertical Graphitic Petal Arrays

ASME 2012 Third International Conference on Micro/Nanoscale Heat and Mass Transfer ◽

10.1115/mnhmt2012-75288 ◽

2012 ◽

Cited By ~ 1

Author(s):

Bhagirath Duvvuri ◽

Anurag Kumar ◽

Hua Bao ◽

Haoxiang Huang ◽

Timothy Fisher ◽

...

Keyword(s):

Optical Properties ◽

Electric Field ◽

Finite Difference Time Domain ◽

Incident Radiation ◽

Radiative Properties ◽

Thermal Radiative Properties ◽

Fdtd Simulations ◽

Difference Time ◽

Graphitic Plane ◽

Very High

In this work, thermal radiative properties of vertical graphene petal arrays are theoretically and experimentally investigated to show that they are superior absorbers of radiation. Finite difference time domain (FDTD) simulations are first performed to calculate optical properties of vertical graphitic arrays of different configurations, namely, graphitic gratings, periodic graphitic cavities, and random graphitic cavities. The effect of polarization of incident radiation on optical properties of such structures is systematically evaluated. When the incident electric field is parallel to the graphitic plane (S polarization) in graphitic gratings, the absorptance is very high, but the reflectance low but still significant when compared to reflectance from a MWCNT array. On the other hand, when the electric field is polarized perpendicular to the graphitic plane (P polarization), the absorptance is significantly lower, as well as the reflectance. This contrast is due to the stronger optical response for the S polarization. Ordered graphitic petal cavity arrays show optical properties falling between the above two cases because of the presence of both polarizations. The random graphitic petal cavity arrays with various angles of orientation show similar properties with ordered petal arrays, and the simulated reflectance agrees very well with experimental data measured on a fabricated thin graphite petal sample.

Download Full-text

Multi-objective optimization of hydro-viscous flexible drive for dynamic characteristics using genetic algorithm

Industrial Lubrication and Tribology ◽

10.1108/ilt-12-2020-0472 ◽

2021 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Jianzhong Cui ◽

Hu Li ◽

Dong Zhang ◽

Yawen Xu ◽

Fangwei Xie

Keyword(s):

Genetic Algorithm ◽

Dynamic Characteristics ◽

Transmission Efficiency ◽

Outer Radius ◽

Transmission Model ◽

Design Parameters ◽

Multi Objective Optimization ◽

Content Type ◽

Multi Objective ◽

Dynamic Transmission Model

Purpose The purpose of this study is to investigate the flexible dynamic characteristics about hydro-viscous drive providing meaningful insights into the credible speed-regulating behavior during the soft-start. Design/methodology/approach A comprehensive dynamic transmission model is proposed to investigate the effects of key parameters on the dynamic characteristics. To achieve a trade-off between the transmission efficiency and time proportion of hydrodynamic and mixed lubrication, a multi-objective optimization of friction pair system by genetic algorithm is presented to obtain the optimal combination of design parameters. Findings Decreasing the engagement pressure or the ratio of inner and outer radius, increasing the lubricating oil viscosity or the outer radius will result in the increase of time proportion of hydrodynamic and mixed lubrication, as well as the transmission efficiency and its maximum value. After optimization, main dynamic parameters including the oil film thickness, angular velocity of the driven disk, viscous torque and total torque show remarkable flexible transmission characteristics. Originality/value Both the dynamic transmission model and multi-objective optimization model are established to analyze the effects of main design parameters on the dynamic characteristics of hydro-viscous flexible drive.

Download Full-text

Long-Range Surface Plasmon-Polariton Waveguide Biosensors for Human Cardiac Troponin I Detection

Sensors ◽

10.3390/s19030631 ◽

2019 ◽

Vol 19 (3) ◽

pp. 631 ◽

Cited By ~ 3

Author(s):

Oleksiy Krupin ◽

Pierre Berini

Keyword(s):

Long Range ◽

Surface Plasmon ◽

Cardiac Troponin ◽

Surface Plasmon Polariton ◽

Troponin I ◽

Biological Marker ◽

Cardiac Troponin I ◽

Label Free ◽

Label Free Detection ◽

Plasmon Polariton

Straight long-range surface plasmon-polariton (LRSPP) waveguides as biosensors for label-free detection are discussed. The sensors consist of 5-μm-wide 35-nm-thick gold stripes embedded in a low-index optical-grade fluoropolymer (CYTOPTM) with fluidic channels etched to the Au surface of the stripes. This work demonstrates the application of the LRSPP biosensors for the detection of human cardiac troponin I (cTnI) protein. cTnI is a biological marker for acute myocardial infarction (AMI), often referred to as a heart attack, which can be diagnosed by elevated levels of cTnI in patient blood. Direct and sandwich assays were developed and demonstrated over the concentration range from 1 to 1000 ng/mL, yielding detection limits of 430 pg/mL for the direct assay and 28 pg/mL for the sandwich assay (1 standard deviation), the latter being physiologically relevant to the early detection or onset of AMI. In addition, a novel approach for data analysis is proposed, where the analyte response is normalized to the response of the antibody layer.

Download Full-text

Multi-objective optimization of the design parameters of texture bottom profiles in a parallel slider

Friction ◽

10.1007/s40544-017-0299-x ◽

2019 ◽

Vol 8 (4) ◽

pp. 726-745 ◽

Cited By ~ 1

Author(s):

Nilesh D. Hingawe ◽

Skylab P. Bhore

Keyword(s):

Design Parameters ◽

Multi Objective Optimization ◽

Multi Objective

Download Full-text

Label-Free Optical Biosensing Using Low-Cost Electrospun Polymeric Nanofibers

Chemosensors ◽

10.3390/chemosensors8040119 ◽

2020 ◽

Vol 8 (4) ◽

pp. 119

Author(s):

Paula Martínez-Pérez ◽

Salvador Ponce-Alcántara ◽

Nieves Murillo ◽

Ana Pérez-Márquez ◽

Jon Maudes ◽

...

Keyword(s):

Real Time ◽

Large Scale ◽

High Surface ◽

Protein A ◽

Volume Ratio ◽

Polyamide 6 ◽

Optical Biosensor ◽

Label Free ◽

Electrospinning Technique ◽

Optical Biosensing

Polymeric nanofiber matrices are promising structures to develop biosensing devices due to their easy and affordable large-scale fabrication and their high surface-to-volume ratio. In this work, the suitability of a polyamide 6 nanofiber matrix for the development of a label-free and real-time Fabry–Pérot cavity-based optical biosensor was studied. For such aim, in-flow biofunctionalization of nanofibers with antibodies, bound through a protein A/G layer, and specific biodetection of 10 µg/mL bovine serum albumin (BSA) were carried out. Both processes were successfully monitored via reflectivity measurements in real-time without labels and their reproducibility was demonstrated when different polymeric nanofiber matrices from the same electrospinning batch were employed as transducers. These results demonstrate not only the suitability of correctly biofunctionalized polyamide 6 nanofiber matrices to be employed for real-time and label-free specific biodetection purposes, but also the potential of electrospinning technique to create affordable and easy-to-fabricate at large scale optical transducers with a reproducible performance.

Download Full-text

A Thompson Sampling Efficient Multi-Objective Optimization Algorithm (TSEMO) for Lithium-Ion Battery Liquid-Cooled Thermal Management System: Study of Hydrodynamic, Thermodynamic, and Structural Performance

Journal of Electrochemical Energy Conversion and Storage ◽

10.1115/1.4048537 ◽

2020 ◽

Vol 18 (2) ◽

Author(s):

A. Garg ◽

Cheng Liu ◽

A. K. Jishnu ◽

Liang Gao ◽

My Loan Le Phung ◽

...

Keyword(s):

Thermal Management ◽

Optimization Algorithm ◽

Cooling System ◽

Hydrodynamic Performance ◽

Design Parameters ◽

Inlet Temperature ◽

Multi Objective Optimization ◽

Multi Objective ◽

Thompson Sampling ◽

Conflicting Objectives

Abstract The efficient design of battery thermal management systems (BTMSs) plays an important role in enhancing the performance, life, and safety of electric vehicles (EVs). This paper aims at designing and optimizing cold plate-based liquid cooling BTMS. Pitch sizes of channels, inlet velocity, and inlet temperature of the outermost channel are considered as design parameters. Evaluating the influence and optimization of design parameters by repeated computational fluid dynamics calculations is time consuming. To tackle this, the effect of design parameters is studied by using surrogate modeling. Optimized design variables should ensure a perfect balance between certain conflicting goals, namely, cooling efficiency, BTMS power consumption (parasitic power), and size of the battery. Therefore, the optimization problem is decoupled into hydrodynamic performance, thermodynamic performance, and mechanical structure performance. The optimal design involving multiple conflicting objectives in BTMS is solved by adopting the Thompson sampling efficient multi-objective optimization algorithm. The results obtained are as follows. The optimized average battery temperature after optimization decreased from 319.86 K to 319.2759 K by 0.18%. The standard deviation of battery temperature decreased from 5.3347 K to 5.2618 K by 1.37%. The system pressure drop decreased from 7.3211 Pa to 3.3838 Pa by 53.78%. The performance of the optimized battery cooling system has been significantly improved.

Download Full-text

Design of Ultra-Compact Optical Memristive Switches with GST as the Active Material

Micromachines ◽

10.3390/mi10070453 ◽

2019 ◽

Vol 10 (7) ◽

pp. 453 ◽

Cited By ~ 3

Author(s):

Ningning Wang ◽

Hanyu Zhang ◽

Linjie Zhou ◽

Liangjun Lu ◽

Jianping Chen ◽

...

Keyword(s):

Extinction Ratio ◽

Active Material ◽

High Refractive Index ◽

Silicon Waveguide ◽

Index Contrast ◽

Fdtd Simulations ◽

Low Insertion Loss ◽

Amorphous States ◽

Change Material ◽

Difference Time

In the following study, we propose optical memristive switches consisting of a silicon waveguide integrated with phase-change material Ge2Sb2Te5 (GST). Thanks to its high refractive index contrast between the crystalline and amorphous states, a miniature-size GST material can offer a high switching extinction ratio. We optimize the device design by using finite-difference-time-domain (FDTD) simulations. A device with a length of 4.7 μm including silicon waveguide tapers exhibits a high extinction ratio of 33.1 dB and a low insertion loss of 0.48 dB around the 1550 nm wavelength. The operation bandwidth of the device is around 60 nm.

Download Full-text