CLIC module simulation model

Slides:



Advertisements
Similar presentations
Three Types of Heat Transfer
Advertisements

Two Beam Module Thermo-mechanical tests Elena Daskalaki Alex Vamvakas Athanasios Zelios.
Properties of cast resin transformers
SIEMENS, MUELHEIM 1 1 Fluid-Structure Interaction for Combustion Systems Artur Pozarlik Jim Kok FLUISTCOM SIEMENS, MUELHEIM, 14 JUNE 2006.
Heat and States of Matter
HPC Impacts Automotive Aerodynamics Computational Fluid Dynamics HPC demands Kevin Golsch Aerodynamics – Energy Center 1 October 2010.
CHE/ME 109 Heat Transfer in Electronics LECTURE 12 – MULTI- DIMENSIONAL NUMERICAL MODELS.
Heat Transfer Overview
Influence of the Gravity, Vacuum and RF on CLIC Module T0 Behavior R. Raatikainen.
Matt Robinson Thomas Tolman.  Describes Convective Heat Transfer  Needed for all external and internal flow situations.
© 2011 Autodesk Freely licensed for use by educational institutions. Reuse and changes require a note indicating that content has been modified from the.
Lecture Objectives: Review discretization methods for advection diffusion equation Accuracy Numerical Stability Unsteady-state CFD Explicit vs. Implicit.
RF-Accelerating Structure: Cooling Circuit Modeling Riku Raatikainen
Convection Currents and the Mantle
STEADY HEAT TRANSFER AND THERMAL RESISTANCE NETWORKS
TS/CV/DC CFD Team Computational Fluid Dynamics at CERN Michele Battistin CERN, Geneva - Switzerland.
I-DEAS 11 TMG Thermal and ESC Flow New Features
THERMAL ENERGY By Hannah Pelayic 1 st hour Picture of a solar flair.
Objectives Calculate heat transfer by all three modes Phase change Next class Apply Bernoulli equation to flow in a duct.
Ch5 Sec2 Convection and the Mantle. Key Concepts How is heat transferred? What causes convection currents? What causes convection currents in Earth’s.
Objectives Finish with Heat transfer Learn about Psychometrics Psychometric chart.
CLIC Prototype Test Module 0 Super Accelerating Structure Thermal Simulation Introduction Theoretical background on water and air cooling FEA Model Conclusions.
CFX-10 Introduction Lecture 1.
How I do a FE steady state thermal structural analysis using Ansys and suggestions. There are a lot of ways of doing an analysis like this, I am only showing.
Lesson 9 COMPRESSION PROCESSES Apply the ideal gas laws to SOLVE for the unknown pressure, temperature, or volume. DESCRIBE when a fluid may be considered.
Chapter 6. Temperature related to the average kinetic energy of an object’s atoms or molecules Thermal energy the sum of kinetic & potential energy of.
Sherril Soman Grand Valley State University Lecture Presentation Chapter 6-2 Thermochemistry.
PRESENTATION OF CFD ACTIVITIES IN CV GROUP Daniel Gasser.
Physical Science 1 st p. By: Abbi Ulrich. What is thermal energy? Thermal energy is the sum of kinetic and potential energy of the particles in an object;
Convection. Material Flow  Objects at different temperatures may not be in direct thermal contact.  An intermediate mechanism is needed to transfer.
Chapter 7 Natural convection systems. 7-1 Introduction  natural or free convection: the motion of the fluid due to density changes arising from heating.
S1 global: thermal analysis TILC09, April 19th, 2009 Serena Barbanotti Paolo Pierini.
Final Project Format and Deliverables Examples
1.3 notes  There are 3 types of heat transfer: radiation, conduction, and convection.  The transfer of energy through space is radiation. Sunlight.
Calorimetric Power Measurements in Xbox-1 Xiaowei Wu.
Lecture Objectives: - Numerics. Finite Volume Method - Conservation of  for the finite volume w e w e l h n s P E W xx xx xx - Finite volume.
Thermal Energy Chapter 6. Describe things you do to make yourself feel warmer or cooler.
Thermal Energy & Heat 1.Temperature – The measure of the average kinetic energy of the particles that make up a substance. 2.Temperature Scales – Fahrenheit,
Chapter 5 Section 2.  Explain how heat is transferred.  Identify what causes convection.  Describe convection currents in Earth’s mantle.
Convection Currents and the Mantle. The Heat of the Earth Earth’s outer core is nearly as hot as the surface of the sun.
Lecture Objectives: Accuracy of the Modeling Software.
Chapter 16 Temperature and Heat.  Definition of heat: Heat is the energy transferred between objects because of a temperature difference.  Objects are.
Chapter 5 – Thermal Energy
Thermal Energy & Heat.
Workshop 6 Electronics Cooling with Natural Convection and Radiation
Thermal-Structural Finite Element Analysis of CLIC module T0#2
Thermal-Structural Finite Element Analysis of CLIC module T0#2
Heat Energy.
Exercises. Introduction to Fins
Classification of solidification processes
CAD and Finite Element Analysis
TBM thermal modelling status
Convection.
Thermal analysis Friction brakes are required to transform large amounts of kinetic energy into heat over very short time periods and in the process they.
Heat Transfer: Physical process by which thermal energy is exchanged between material bodies or inside the same body as a result of a temperature difference.
Thermal Analysis and Simulation Using Abaqus CAE
Matter Vocabulary.
Natural Convection New terms Volumetric thermal expansion coefficient
Effects of Free and Forced Convection on the Convection Coefficient and Time to Steady State for Various Objects Christian Roys, Jon Zywusko, and Julie.
Topic: Temperature and Heat
Casting process.
Thermal behavior of the LHCb PS VFE Board
Convection Currents and the Mantle
Exercises. Introduction to Fins
Heat.
Chapter 19 FORCED CONVECTION
Chapter 19 FORCED CONVECTION
PANDA Collaboration Meeting
Heat Transfer: Physical process by which thermal energy is exchanged between material bodies or inside the same body as a result of a temperature difference.
Thermo-mechanics J. Cugnoni, LMAF / EPFL 2012.
Presentation transcript:

CLIC module simulation model The current state and how to proceed forwards Seppo Uimonen, 26.06.2017

The stage I started working from The stage where Antti finished the model includes: Modeling of water cooling Modeling of natural convection (and forced convection at constant air flow) Radiation

What was planned I will do Computational fluid dynamics (CFD) model to calculate a map of local air flow rates and their related heat transfer coefficients Then feed these heat transfer coefficients to previous model

How to do this in principle You create a volume around your geometry You extract your geometry from the volume Besides meshing your geometry, also mesh your volume You bring your volume to your CFD modeler, activate buoyancy and thermal energy models Feed the results such as heat transfer coefficients to your thermal model Solve temperature distribution in steady state model and feed it to static structural model Solve static structural model for displacements and deformations

From prototype to full scale simulation model The prototype was successful to model the process from CFD to thermal and structural models After successfully done this in smaller scale, I started to prepare Antti’s model for the same process I created a volume around the geometry and started extracting geometry from the volume I started to have strange errors with boolean operations, which made Ansys crash multiple times. I started to have strange errors with ”converting geometry files to DesignModeler format”. I talked with Alex that I would supress them from the model at first stage, and then re-arrange them into model later

Example of a problematic part One of the parts that caused Ansys to crash was waveguide flange. A shape that could be a flat cylinder with a rectangle hole. Ideally 7 surfaces (3 surfaces outside, 4 surfaces inside), but the current part has 37 faces. In this case there’s a factor of 5.2 adding complexity but not refining much accuracy. Generally combinations of large and small surfaces are difficult to mesh. Transition from big to small mesh size requires a lot of computational resources.

Not too bad for a single component, but… Almost of half of the simulation model’s 500 components have shapes that could or should be simplified Impossible to mesh at current state. Meshing either diverges (uses all memory and progress stops) or if components are suppressed, then meshing fails. After testing first simulation process in smaller scale, the problem clearly is complexity of the model, not the process itself

What next? Which direction should we take? Options: 1. Continue with simplifying the model 2. Stay with the current working model (can be done in all cases) 3. Something else, another direction to modelling etc. Simplification works but it’s time-consuming and it might break the link between CFD and thermo-mechanical cooling models. On the otherside, maybe we need just calculate external heat transfer coefficients and then input them into Antti’s model. Breaking the connection wouldn’t then matter that much.