the proceedings contain 250 papers. the topics discussed include: the electrical contact resistance in resistance welding evaluated by Gleeble testing machine;numerical modeling of high power MAG welding on the plate;...
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the proceedings contain 250 papers. the topics discussed include: the electrical contact resistance in resistance welding evaluated by Gleeble testing machine;numerical modeling of high power MAG welding on the plate;optimization of welding process parameters for rotating arc welding sensor based on genetic algorithm;numerical simulation on temperature field in laser welding for aluminum alloy with different thickness;evaluation of corrosion property for repair welding zone of exhaust valve;numerical simulation of pulsed arc welding by melting electrode;three-dimensional thermo-mechanical finite element simulation for casting ladle structure under thermal loadings;experimental research of elevated temperature creep and stress relaxation during continuous straightening;derivation and application for time step model in simulation of solidification process;and the computer solidification simulation of oceangoing freighter rudder horn.
this article deals with heat transfer modeling and identification, based on fractional non commensurate order state space models. An output error method is developed to estimate the model parameters including the frac...
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this article deals with heat transfer modeling and identification, based on fractional non commensurate order state space models. An output error method is developed to estimate the model parameters including the fractional order and an iterative non-linear programming method is used, based on a novel fractional multivariable sensitivity functions model. Numerical simulation data of the heat transfer problem are performed using finite differences, and the suggested method is applied to identify the thermalprocess. Two fractional non commensurate models are tested in order to analyze their fitting ability to approximate the interface diffusion in the frequency domain.
A computer model and software for simulation of electron beam melting are developed. A two-dimensional modeling is done, for an ingot, casted in a cylindrical copper water-cooled crucible. Melting of copper, titanium ...
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A computer model and software for simulation of electron beam melting are developed. A two-dimensional modeling is done, for an ingot, casted in a cylindrical copper water-cooled crucible. Melting of copper, titanium and aluminum were simulated. the pouring of the molten material increases the energy input and the depth of the molten pool. In the case of titanium, due to the molten metal stirring an assumption for limitation of upper surface ingot temperatures was done. the important role of the temperature distribution, near to cooled crucible wall contact zone, in the process of thermal balance is discussed. Some qualitative conclusions for non-steady thermal transfer in this zone are made. (C) 1999 Elsevier Science Ltd. All rights reserved.
the use of computers in plastics processing has continued to grow in parallel with rapid expansion of computer availability and computing power. One of the main areas of application is in computersimulation of the in...
the use of computers in plastics processing has continued to grow in parallel with rapid expansion of computer availability and computing power. One of the main areas of application is in computersimulation of the injection molding process where more demanding applications relate to the simulation of molding of complex-shaped moldings. Recent development include the use of boundary fitted curvilinear coordinates, the incorporation of fountain flow, and the coupling of crystallization kinetics within the transport equations. Applications in computer control relate to the control of pressure and temperature throughout the injection molding process, self-tuning control, physically-based dynamic models, and the control of properties of the molding, e.g. the weight of the article. Recent developments relate to the application of inverse modeling. An example is given of the use of inverse modeling of thermal stresses to predict or optimize thermal or pressure history during molding.
Mathematical modelling and computersimulation are widely used to deepen understanding of metal rolling processes;much effort has been placed in the integration of thermal, mechanical and metallurgical phenomena in mo...
Mathematical modelling and computersimulation are widely used to deepen understanding of metal rolling processes;much effort has been placed in the integration of thermal, mechanical and metallurgical phenomena in modelling. Whilst thermal and mechanical aspects are reasonably widely understood, the metallurgical phenomena leave many people baffled and appear to require considerable study to develop an insight. this work attempts to address this problem by displaying the metallurgical prediction of a rolling process model as microstructural changes in the cross-section of the stock being rolled. It is hoped that by developing an engaging presentation of information, non-metallurgists will be encouraged to take a greater interest in the microstructural aspects of metal rolling.
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