Talk given at the Particle Technology Lab, Zurich, Switzerland, November 2008.larry77
The process of nanoparticle agglomeration as a function of the monomer-monomer interaction potential is simulated numerically by solving Langevin equations for a set of interacting monomers in three dimensions. The simulation results are used to investigate the structure of the generated clusters and the collision frequency between small clusters. Cluster restructuring is also observed and discussed. We identify a time-dependent fractal dimension whose evolution is linked to the kinetics of two cluster populations. The absence of screening in the Langevin equations is discussed and its effect on cluster translational and rotational properties is quantified.
Talk given at the Particle Technology Lab, Zurich, Switzerland, November 2008.larry77
The process of nanoparticle agglomeration as a function of the monomer-monomer interaction potential is simulated numerically by solving Langevin equations for a set of interacting monomers in three dimensions. The simulation results are used to investigate the structure of the generated clusters and the collision frequency between small clusters. Cluster restructuring is also observed and discussed. We identify a time-dependent fractal dimension whose evolution is linked to the kinetics of two cluster populations. The absence of screening in the Langevin equations is discussed and its effect on cluster translational and rotational properties is quantified.
This presentation was given in Cardiff at the European Society of Rheology Conference in 2009. The presentation is about research in "extreme" areas of rheology and includes work on measuring the viscoelasticity of low viscosity fluids and the limiting extensional viscosity of high viscosity fluids.
Ink jet rheology and processing-Monash 2009malcolmmackley
This presentation gives a summary of work carried out in the Chemical Engineering Department at Cambridge on the rheology and processing of ink jet fluids. The linear viscoelastic properties are captured using a PAV rheometer and the non linear extensional behaviour using a "Cambridge Trimaster".
MNR & Anti MNR In Conductivity Of Highly Crystallized Undoped Microcrystallin...Sanjay Ram
Can anti-MNR be possible in the dark conductivity behavior in undoped single phase microcrystalline silicon? What may be the origin of anti-MNR in such a case?
Towards a 2-dimensional Self-organized Framework for Structured Population-ba...Carlos M. Fernandes
Presentation of the paper "Towards a 2-dimensional Self-organized Framework for Structured Population-based Metaheuristics". IEEE International Congress on Complex Systems, Agadir, Morocco, 2012
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
A Hybrid Model to Predict Electron and Ion Distributions in Entire Interelect...Fa-Gung Fan
Atmospheric direct current (dc) corona discharge
from thin wires or sharp needles has been widely used as an ion
source in many devices such as photocopiers, laser printers, and
electronic air cleaners. Existing numerical models to predict the
electron distribution in the corona plasma are based on charge
continuity equations and the simplified Boltzmann equation. In
this paper, negative dc corona discharges produced from a thin
wire in dry air are modeled using a hybrid model of modified
particle-in-cell plus Monte Carlo collision (PIC-MCC) and a
continuum approach. The PIC-MCC model predicts densities of
charge carriers and electron kinetic energy distributions in the
plasma region, while the continuum model predicts the densities of
charge carriers in the unipolar ion region. Results from the hybrid
model are compared with those from prior continuum models.
Superior to the prior continuum model, the hybrid model is able
to predict the voltage–current curve of corona discharges. The
PIC-MCC simulation results also suggest the validity of the local
approximation used to solve the Boltzmann equation in the prior
continuum model.
Design of an Aerodynamic Lens for PM2.5 Chemical Composition AnalysisFa-Gung Fan
The Nanojet as an aerosol sample inlet, concentrator, and transfer line to the Jet Propulsion Laboratory (JPL) quadrupole ion trap (QIT) mass spectrometer (MS).
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Assuring Contact Center Experiences for Your Customers With ThousandEyes
Charging Characterization of Colloidal Dispersions by a Plate-Out Cell
1. CHARGING CHARACTERIZATION OF
COLLOIDAL DISPERSIONS BY A
PLATE-OUT CELL
IS&T NIP15
October 17-22, 1999
James Wang, Fa-Gung Fan, Richard Blum
Xerox Corporation
2. Liquid Toner Chemical Model: The Anatomy of an
Ink
-
-
-
+ + -
+
- Inverse
+ +
Micelle
11/ 96, file: LTM_NHT.PPT
3. Liquid Inks Contain:
1) Charged toner particles: Field dependent
2) Co-Ions: charged micelle with same polarity
of toner
3) Counter-Ions: charged micelle with opposite
polarity of toner
4) Carrier Liquid
4. Big Picture
Work Process to Study LID Development
Ink Design Model verification
& Fabrication Ink characterization
Benchtop
Ink
Characterization Characterization
Model
• Mobility (ELS/LDV)
• Charging (SC/PO) Fixture
• Size Measurement Models
• etc.(ESA, light scattering,
light transmission Fixture
6. Ink Characteristic
Ink Characterization
Current density(amp/m2 )
Ink Charge Properties
•Number of charge species
•Mobility of each species
•Charge density of each species
•Q/M of toner
Time (sec)
7. Ink Characterization Model
∂ρ i
+ ∇ • ( ρ i u ) = 0 Conservation of Charge
∂t (Charge transport equation)
ε ∇ φ = − ∑ ρ i Gauss’ Law
2
i (Poisson equation for potential)
u = µE Fluid velocity + Electrophoretic velocity
8. Automatic Curve Fitting
--- An Optimization Problem
Minimize 2
N
f ( ρ 10 , ... ρ n ) =
0
∑ [e
k =1
E
k − e kM ( µ 1 , ... µ n, ρ 10 , ... ρ n0 ) ]
Subject to
ρ i0 ≥ 0
Restate in the form of an unconstrained optimization problem with
a penalty function
ˆ 0
f ( ρ1 , ... ρ n ) = f ( ρ1 , ... ρ n ) + R ∑ | ρ 0 |
0 0 0
j
j∈ J
R is the penalty parameter
0
J identifies the set of violated constraints (i.e., ρ j < 0 for all j ∈ J )
9. Optimization Algorithm
x
Powell’s Conjugate Direction Method
0 x •Needs only function value, not gradient.
ρ2 initial guess
x •For quadratic object function,
predetermined steps to reach optimal.
ρ10
17. SUMMARY:
• A charge characterization process based on the
charge transport model is developed.
• The process determines charge density and
mobility distribution of simple dispersions.
• For liquid inks, the apparent charge densities of
the toner particles do not stay constant.
• To better characterize liquid inks, a quantitative
understanding and modeling of charge generation
is needed.