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Currently the welding as a technological process is concerned with special processes, the results of which cannot be checked in a complete degree by subsequent control, test of production what finally causes uncertainty of work of welded constructions. The process of welding is related to the local change of the internal energy of welded system and that leads to the local change of state of material expressing by change of microstructure and mechanical properties. This phenomena decide on the assessment of susceptibility of materials under defined welding condition and estimate of the weldability. It is compound relation and the mechanical behaviour of welded joints is sensitive to the close coupling between modules: heat transfer, microstructure evolution an mechanical fields. Welding process in physical meaning it is jointed with three laws govern mass and heat flow the laws of conservation of: mass, momentum and energy. The knowledge of the run of thermo-dynamical process under welding indicates on the possibility of active modelling and control of welding process with use intensive and extensive parameters. As the weld metal cools in the temperature range 2300 to 1800°K, the dissolved oxygen and deoxidising elements in liquid steel react to form complex oxide inclusions of 0.1 to 1 μm size range. In the temperature range 1800 to 1600°K, solidification of liquid to δ ferrite starts und envelops these oxide inclusions. After δ ferrite transforms to austenite in the temperature range 1100 to 500°K, the austenite transforms to different ferrite morphologies such as ferrite: allotriomorphic, Widmanstättena, and acicular. The macro-mechanical heterogeneity of welded structures is one of their primary features. The heterogeneous nature of the weld joints is characterised by macroscopic dissimilarity in mechanical properties. Numerical weldability analysis is a new powerful research and development tool which is useful for metallurgistics technologist and design engineers. Saying strictly the numerical analysis of weldability comprises thermodynamic, thermomechanical and microstructural modelling of the welding process. The result of this analysis is material susceptibility (SU). The fracture resistance of welded joints is mainly characterised by normalised parameters: SU1 = KIth / KIC for cold cracking or in the exploitation condition by SU2 = δ/δC or J/JC, SU1 ≠ SU2. From above-mentioned equations result that does not exist one global parameter which defines the step of susceptibility SU of base materials has been also executed with use of SINTAP program
The process of welding has dynamic character and is related with the local change of the internal energy E of welded system and can be defined by general dependence between intensive φj and extensive ψj parameters. The knowledge of the run of thermo-dynamical process under welding indicates on the possibility of active modelling of weldability and the control of welding process: φj = ∂E/∂ψj. Hence, these process can be enhanced by mathematical modelling and numerical analysis of weldability models of, i.e. welding processes of material behaviour in welding and the strength of welded structures. The main attention is focused on the assessment of susceptibility of materials under defined welding conditions using fracture mechanics parameters. The analysis is based on the normalised parameters such as: ∂/∂c, KIth/KIC, as a measure of the susceptibility of materials in welding process. The deformation process and fracture parameters calibrations are influenced by constraint; hence the importance of determining the deformation behaviour and fracture parameters as a function of constraint. Furthermore, there established analytically the condition of welding process in mismatched weld joints for strength equal to base metal. Finally, same analytical examples which present new capabilities of weldability estimates and mechanical properties of mismatched weld joints are presented
This part is continuation of PART I. The basis of this analytic solution are the Fourier - Kirchhoffpartial differential equation with appropriated boundary conditions. For a plate with optional thickness, the radiative heat transfer on both surfaces is taken into account. It is assumed that moving C-I-N or D-E heat sources during a very short period of time, generate an impulse of energy inducing an instantaneous thermal field in the plate area and the analytic solution is received by used Fourier transformation. These fields arebeing continuously summed up to obtain resultant thermal field . Finally, the temperature fields generated by C-I-N and D-E heat sources in both stationary and moving co-ordinates systems are established.
This part is continuation of PART II. Analytic solutions for the temperature distribution in HAZ – presented in the previous part of this article are transformed for computer calculation with used Mathcad programme. There are established algorithms in moving and stationary systems for thermal cycle calculating. Finally, a few analytical examples with use of C-I-N and D-E models are demonstrated
At the beginning of this paper a short characteristic of the methodology of classic Rosenthal-Rykalin solution of temperature distribution during welding is provided.In the further part, the requirements concerning process modelling were presented, particularly with thermal processes taken into consideration.Finally, the Cylindrical-Involution-Normal and Double-Ellipsoidal heat source models are presented
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