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Research at Welding Equipment and Engineering Department Speaker: Andrey Batranin, PhD. Student Tomsk Polytechnic University Non-destructive Testing Institute http://svarka.tpu.ru Contents • Modeling of Processing • Our Methods to Solve the Problems • Mathematical Definition of the Problems • Applications of the Methods • Conclusions Speaker: Andrey Batranin email: [email protected] Modeling of Processing We focus on modeling of different kinds of processing: • • • • • Welding Cutting Surface treatment Hardening Dynamic (shock) fracture Speaker: Andrey Batranin email: [email protected] Our Methods to Solve the Problems Primarily we use Finite Difference Method. Sometimes we use Variation-Difference Method and Smoothed Particle Hydrodynamics (SPH) Method Also we use state equations for complex materials such as mixtures and alloys. Speaker: Andrey Batranin email: [email protected] Mathematical Definition of the Problem To solve problems of welding we use Spatial Non-linear Dynamic Heat Transfer Equation T C (T ) (Т ) div (T ) grad (T ) Q( x, y, z, t ) (1) t С(Т) – heat capacity; (Т) – density; Т – temperature; (Т) – heat conductivity; Q(x,y,z,t) – heat power in a point. Speaker: Andrey Batranin email: [email protected] Mathematical Definition of the Problem Initial and Boundary Conditions T ( x, y, z,0) f ( x, y, z ) (2) Initial condition: T ( x, y, z,0) Т 0 Common boundary condition: T Т 0 (3) n Melting and crystallization by Stephan’s equation Lk Vk k 1 Speaker: Andrey Batranin Tk nk k _ Tk ( 4) nk email: [email protected] Mathematical Definition of the Problem Surface heat sources TIG-welding Qуд IUk exp kr 2 (5) I – current, A; U – voltage, V; k – heat energy concentration coefficient, 1/m2; r – distance between a point and the center of a heat spot, m. Electron beam treatment 2 IE k r Qуд exp k (6) 2 r0 r0 Е – accelerating voltage, V; k – beam concentration coefficient, 1/m2 r0 – beam acting radius, m. Speaker: Andrey Batranin email: [email protected] Mathematical Definition of the Problem Thermophysical properties of materials considerably depend on temperature. Speaker: Andrey Batranin email: [email protected] Mathematical Definition of the Problem We use the Conservation Laws of Mass, Energy and Linear Momentum in partial differential equations. Additionally are used state equations for wide range of temperature and component concentration. Thus the models takes into account the following items: • • • • • Non-linearity of physical properties (thermal dependences) Spatial geometry of a piece (3D form) Inhomogeneity: porosity, inclusions Phase transformations: melting, crystallization, etc. Complexity of heating: moving sources, preheating, etc. Speaker: Andrey Batranin email: [email protected] Applications: software The “Model” Program Problems were solved: • Oxygen cutting • TIG-welding • Impulse TIG-welding Speaker: Andrey Batranin email: [email protected] Applications: software The “Meza” Program Speaker: Andrey Batranin email: [email protected] Applications: software The “Meza-cutting” Program Problems were solved: • Oxygen cutting • Electron beam treatment of titanium alloys Speaker: Andrey Batranin email: [email protected] Applications: software Computing of stress and deformed states in welds Problem was solved: • Thermal-deformative process during and after welding in a weld joint t = 0.1 sec Speaker: Andrey Batranin t = 0.2 sec email: [email protected] Applications: software Computing of stress and deformed states in welds Problem was solved: • Plastic deformation in HAZ after welding Speaker: Andrey Batranin email: [email protected] Applications: software The “Virtual Workspace” Program (MATLAB) Trying to use: • A modern software • HPC possibilities • Collaboration Speaker: Andrey Batranin email: [email protected] Applications: developments Furthermore the following researches are carrying out at our department: • • • • Stress computation of gradient materials Composition optimizing of coats Impulse control of arc welding Resistance welding of thin-walled pieces Speaker: Andrey Batranin email: [email protected] Conclusions We model different technological processes: • To determine behaviour of materials during and after a process • To choose the optimal treatment among possible ones • To obtain a material or surface or joint with properties we need • To create a base for automation of processing Speaker: Andrey Batranin email: [email protected] Thank you! http://svarka.tpu.ru