scholarly journals Systematic review of centrifugal valving based on digital twin modeling towards highly integrated lab-on-a-disc systems

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Jens Ducrée
Keyword(s):  
Performance Metrics ◽  
Virtual Prototyping ◽  
Scale Up ◽  
Current Application ◽  
Simulation Tools ◽  
Efficient Simulation ◽  
Significant Interest ◽  
Scale Integration ◽  
Bioanalytical Validation ◽  
Assay Automation

AbstractCurrent, application-driven trends towards larger-scale integration (LSI) of microfluidic systems for comprehensive assay automation and multiplexing pose significant technological and economical challenges to developers. By virtue of their intrinsic capability for powerful sample preparation, centrifugal systems have attracted significant interest in academia and business since the early 1990s. This review models common, rotationally controlled valving schemes at the heart of such “Lab-on-a-Disc” (LoaD) platforms to predict critical spin rates and reliability of flow control which mainly depend on geometries, location and liquid volumes to be processed, and their experimental tolerances. In absence of larger-scale manufacturing facilities during product development, the method presented here facilitates efficient simulation tools for virtual prototyping and characterization and algorithmic design optimization according to key performance metrics. This virtual in silico approach thus significantly accelerates, de-risks and lowers costs along the critical advancement from idea, layout, fluidic testing, bioanalytical validation, and scale-up to commercial mass manufacture.

scholarly journals Systematic Review of Centrifugal Valving Based on Digital Twin Modelling towards Highly Integrated Lab-on-a-Disc Systems

2021 ◽  
Author(s):  
Jens Ducrée
Keyword(s):  
Performance Metrics ◽  
Virtual Prototyping ◽  
Scale Up ◽  
Current Application ◽  
Simulation Tools ◽  
Efficient Simulation ◽  
Significant Interest ◽  
Scale Integration ◽  
Bioanalytical Validation ◽  
Assay Automation

Current, application-driven trends towards larger-scale integration (LSI) of microfluidic systems for comprehensive assay automation and multiplexing pose significant technological and economical challenges to developers. By virtue of their intrinsic capability for powerful sample preparation, centrifugal systems have attracted significant interest in academia and business since the early 1990s. This review models common, rotationally controlled valving schemes at the heart of such “Lab-on-a-Disc” (LoaD) platforms to predict critical spin rates and reliability of flow control mainly based on geometries, location and liquid volumes to be processed, and their experimental tolerances. In absence of larger-scale manufacturing facilities during product development, the method presented here facilitates the provision of efficient simulation tools for virtual prototyping and characterization to greatly expedite design optimization according to key performance metrics. This virtual in silico approach thus significantly accelerates, de-risks and lowers costs along the critical advancement from idea, fluidic testing, bioanalytical validation and scale-up to commercial mass manufacture.

scholarly journals Systematic Review of Centrifugal Valving Based on Digital Twin Modelling towards Highly Integrated Lab-on-a-Disc Systems

2021 ◽  
Author(s):  
Jens Ducrée
Keyword(s):  
Performance Metrics ◽  
Virtual Prototyping ◽  
Scale Up ◽  
Current Application ◽  
Simulation Tools ◽  
Efficient Simulation ◽  
Significant Interest ◽  
Scale Integration ◽  
Bioanalytical Validation ◽  
Assay Automation

Current, application-driven trends towards larger-scale integration (LSI) of microfluidic systems for comprehensive assay automation and multiplexing pose significant technological and economical challenges to developers. By virtue of their intrinsic capability for powerful sample preparation, centrifugal systems have attracted significant interest in academia and business since the early 1990s. This review models common, rotationally controlled valving schemes at the heart of such “Lab-on-a-Disc” (LoaD) platforms to predict critical spin rates and reliability of flow control mainly based on geometries, location and liquid volumes to be processed, and their experimental tolerances. In absence of larger-scale manufacturing facilities during product development, the method presented here facilitates the provision of efficient simulation tools for virtual prototyping and characterization to greatly expedite design optimization according to key performance metrics. This virtual in silico approach thus significantly accelerates, de-risks and lowers costs along the critical advancement from idea, fluidic testing, bioanalytical validation and scale-up to commercial mass manufacture.

scholarly journals The Implementation of Visual Comfort Evaluation in the Evidence-Based Design Process Using Lighting Simulation

2021 ◽  
Vol 11 (11) ◽  
pp. 4982
Author(s):  
Anahita Davoodi ◽  
Peter Johansson ◽  
Myriam Aries
Keyword(s):  
Performance Metrics ◽  
Analysis Data ◽  
Evidence Based ◽  
Visual Comfort ◽  
Simulation Tools ◽  
Post Occupancy Evaluation ◽  
Lighting Simulation ◽  
Insight Into

Validation of the EBD-SIM (evidence-based design-simulation) framework, a conceptual framework developed to integrate the use of lighting simulation in the EBD process, suggested that EBD’s post-occupancy evaluation (POE) should be conducted more frequently. A follow-up field study was designed for subjective–objective results implementation in the EBD process using lighting simulation tools. In this real-time case study, the visual comfort of the occupants was evaluated. The visual comfort analysis data were collected via simulations and questionnaires for subjective visual comfort perceptions. The follow-up study, conducted in June, confirmed the results of the original study, conducted in October, but additionally found correlations with annual performance metrics. This study shows that, at least for the variables related to daylight, a POE needs to be conducted at different times of the year to obtain a more comprehensive insight into the users’ perception of the lit environment.

scholarly journals Diagnosis of the Induction Machine Using Advanced Signal Processing Methods

2018 ◽  
Vol 3 (3) ◽  
pp. 143-150
Author(s):  
Abdelghani CHAHMI
Keyword(s):  
Induction Machine ◽  
Detection Methods ◽  
Diagnostic Tools ◽  
Simulation Tools ◽  
Electric Drives ◽  
Efficient Simulation ◽  
Squirrel Cage ◽  
Rotor Resistance ◽  
Three Phase ◽  
Signal Processing Methods

This work is a part of the thematic of monitoring and fault diagnosis of the squirrel cage three-phase induction machine. The choice of this type of machine is justified by the growing success it has exhibited, mainly, in the electric drives with variable speed. Signal based detection methods are presented is validated in simulation. The proposed diagnosis approach requires only little experimental data, and more importantly it provides efficient simulation tools that allow characterizing faulty behavior.In this study, the proposed approach considers the value of rotor resistance as fixed for condition monitoring. This value in the diagnostic tools which one uses is not fixed contrary to the classical approaches of control of machine.

Validating the Performance of the FHWA Work Zone Model Version 1.0: A Case Study along I-91 in Springfield, Massachusetts

2018 ◽  
Vol 2672 (16) ◽  
pp. 46-56 ◽  
Author(s):  
Andrew Berthaume ◽  
Lauren Jackson ◽  
Ian Berg ◽  
Brian O’Donnell ◽  
Christopher L. Melson
Keyword(s):  
Performance Metrics ◽  
Near Field ◽  
Work Zone ◽  
Driver Model ◽  
Zone Model ◽  
Work Zones ◽  
Simulation Tools ◽  
Zone Management ◽  
Using Data ◽  
Model Components

Central to the effective design of work zones is being able to understand how drivers behave as they approach and enter a work zone area. States use simulation tools in modeling freeway work zones to predict work zone impacts and to select optimal design and deployment strategies. While simple and complex microscopic models have been used over the years to analyze driver behavior, most models were not designed for application in work zones. Using data collected from an instrumented research vehicle and model components from two PhD dissertations, FHWA created the Work Zone Driver Model and programed the Work Zone Driver Model DLL v1.0, a software that could override car-following in commercial microsimulation software packages so that practitioners can better predict work zone impacts. This paper demonstrates the capabilities of the FHWA Work Zone Driver Model DLL v1.0, interfaced with VISSIM and tested on an Interstate work zone in Springfield, Massachusetts. The dynamic link library’s (DLL’s) performance is compared with field data collected using an instrumented research vehicle and to Weidemann 99 in VISSIM. Performance metrics were selected to align with state department of transportation work zone management efforts. Results showed acceptable performance from the DLL, as it predicted queue locations and travel speeds that were near field observations. Limitations of the DLL and interface are discussed, and opportunities for improving version 2.0 are described.

scholarly journals An Extender Kalman Filter-based Induction Machines Faults Detection

2016 ◽  
Vol 6 (2) ◽  
pp. 535 ◽  
Author(s):  
Abdelghani Chahmi ◽  
Mokhtar Bendjebbar ◽  
Bertrand Raison ◽  
Mohamed Benbouzid
Keyword(s):  
Experimental Data ◽  
Kalman Filter ◽  
Induction Machines ◽  
Simulation Tools ◽  
Electrical Drives ◽  
Efficient Simulation ◽  
Processing Techniques ◽  
Detection And Localization ◽  
Signal Processing Techniques ◽  
Diagnosis Approach

This paper deals with the detection and localization of electrical drives faults, especially those containing induction machines. First, the context of the study is presented and an Extended Kalman Filter is described for induction machines fault detection. Then the modeling procedure under faulty conditions is shown, and the machine diagnosis methods are developed. The proposed diagnosis approach requires only little experimental data, and more importantly it provides efficient simulation tools that allow characterizing faulty behavior.Fault detection uses signal processing techniques in known operating phases (fixed speed), considering and locating malfunctions.

scholarly journals An Extender Kalman Filter-based Induction Machines Faults Detection

2016 ◽  
Vol 6 (2) ◽  
pp. 535
Author(s):  
Abdelghani Chahmi ◽  
Mokhtar Bendjebbar ◽  
Bertrand Raison ◽  
Mohamed Benbouzid
Keyword(s):  
Experimental Data ◽  
Kalman Filter ◽  
Induction Machines ◽  
Simulation Tools ◽  
Electrical Drives ◽  
Efficient Simulation ◽  
Processing Techniques ◽  
Detection And Localization ◽  
Signal Processing Techniques ◽  
Diagnosis Approach

This paper deals with the detection and localization of electrical drives faults, especially those containing induction machines. First, the context of the study is presented and an Extended Kalman Filter is described for induction machines fault detection. Then the modeling procedure under faulty conditions is shown, and the machine diagnosis methods are developed. The proposed diagnosis approach requires only little experimental data, and more importantly it provides efficient simulation tools that allow characterizing faulty behavior.Fault detection uses signal processing techniques in known operating phases (fixed speed), considering and locating malfunctions.

Acceleration Methods for Coarse-Grained Numerical Solution of the Boltzmann Equation

2006 ◽  
Vol 129 (7) ◽  
pp. 908-912 ◽  
Author(s):  
Husain A. Al-Mohssen ◽  
Nicolas G. Hadjiconstantinou ◽  
Ioannis G. Kevrekidis
Keyword(s):  
Steady State ◽  
Steady State Solution ◽  
Boltzmann Kinetic Equation ◽  
Coarse Grained ◽  
Navier Stokes ◽  
Explicit Integration ◽  
Simulation Tools ◽  
Efficient Simulation ◽  
Acceleration Methods ◽  
O 10

We present a coarse-grained steady-state solution framework for the Boltzmann kinetic equation based on a Newton-Broyden iteration. This approach is an extension of the equation-free framework proposed by Kevrekidis and coworkers, whose objective is the use of fine-scale simulation tools to directly extract coarse-grained, macroscopic information. Our current objective is the development of efficient simulation tools for modeling complex micro- and nanoscale flows. The iterative method proposed and used here consists of a short Boltzmann transient evolution step and a Newton-Broyden contraction mapping step based on the Boltzmann solution; the latter step only solves for the macroscopic field of interest (e.g., flow velocity). The predicted macroscopic field is then used as an initial condition for the Boltzmann solver for the next iteration. We have validated this approach for isothermal, one-dimensional flows in the low Knudsen number regime. We find that the Newton-Broyden iteration converges in O(10) iterations, starting from arbitrary guess solutions and a Navier-Stokes based initial Jacobian. This results in computational savings compared to time-explicit integration to steady states when the time to steady state is longer than O(40) mean collision times.

scholarly journals Metabolism-based modelling for performance assessment of a water supply system: a case study of Reggio Emilia, Italy

2016 ◽  
Vol 16 (5) ◽  
pp. 1221-1230 ◽  
Author(s):  
T. Liserra ◽  
K. Benzedian ◽  
R. Ugarelli ◽  
R. Bertozzi ◽  
V. Di Federico ◽  
...  
Keyword(s):  
Water Supply ◽  
Urban Areas ◽  
Performance Metrics ◽  
Water Cycle ◽  
Supply System ◽  
Intervention Strategies ◽  
Water Supply System ◽  
Reggio Emilia ◽  
Simulation Tools ◽  
The Impact

A new class of conceptual simulation tools, as a complement to physically based models, is becoming available to simulate the whole water cycle in urban areas for strategic planning, often involving the allocation of a great amount of financial resources. These simulation tools are required to estimate the impact of the today's decisions on the system performance over the next decades and to compare and rank different intervention strategies. To achieve this, this paper aims to build the metabolism-based modelling of a real water supply system using the recently developed WaterMet2 model in order to evaluate long-term performance metrics for possible intervention strategies. This metabolism-based approach was demonstrated for evaluation of the water supply system of Reggio Emilia, Italy, which is one of the demonstration case studies in the EU TRUST (TRansitions to the Urban water Services of Tomorrow) project. Based on the strains imposed by pressing challenges (here population growth) two intervention strategies were analysed. The results obtained show that the built and calibrated WaterMet2 model allows a broader understanding of the impacts of alternative intervention strategies taking into account multidimensional aspects of the sustainability beside conventional service performance.

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