ANSYS-based duplex stainless steel and dissimilar steel welding deformation prediction method

Abstract

The invention provides an ANSYS-based duplex stainless steel and dissimilar steel welding deformation prediction method. The method comprises the following steps: (1) determining welding process parameters; (2) establishing a finite element model and carrying out grid partitioning; (3) determining thermal physical parameters of a welding material; (4) determining a heat source model; (5) calculating a temperature field; (6) calculating a stress field, and calculating welding deformation of duplex stainless steel and dissimilar steel. Compared with the prior art, the ANSYS-based duplex stainless steel and dissimilar steel welding deformation prediction method has the advantages that the deformation after welding of SAF2507 super duplex stainless steel and Q235 low-carbon dissimilar steel is successfully predicted; a thermal treatment scheme after welding is formulated according to a prediction result; the quantity of experiments for a welding process is reduced; manpower and materials are saved; a technical specification is provided for working procedures of previous lofting and feeding in a product manufacturing process; the workload of a working procedure of later machining is reduced.

Description

technical field [0001] The invention relates to a method for predicting welding deformation, in particular to a method for predicting welding deformation between duplex stainless steel and dissimilar steel based on ANSYS. Background technique [0002] Welding deformation is one of the common problems in the fabrication of welded structures. The existence of welding deformation not only affects the manufacturing process of the welded structure, but also causes hidden dangers to the quality of the product. Therefore, in the actual process, it is necessary to make a reasonable prediction of the welding deformation and then effectively control it to improve the welding quality. [0003] SAF2507 duplex stainless steel is composed of 25% chromium, 4% molybdenum and 7% nickel. Because its pitting resistance index is usually greater than 40, it is called super duplex stainless steel. This steel has high strength and corrosion resistance performance, and has high thermal conductivit...

AI Technical Summary

Problems solved by technology

[0003] SAF2507 duplex stainless steel is composed of 25% chromium, 4% molybdenum and 7% nickel. Because its pitting resistance index is usually greater than 40, it is called super duplex stainless steel. This steel has high strength and corrosion resistance performance, and has high thermal conductivity and low thermal expansion coefficient. When this steel is welded with Q235 low-carbon steel, due to the great difference in the thermophysical performance parameters of the two materials, and as the temperature increases, The changing rules of each physical parameter are not consistent, so it is difficult to predict the welding deformation of the assembly weldment, and it brings inestimable waste and difficulty to the blanking and lofting of the front process, as well as the shaping and finishing of the subsequent process.

The deficiencies of the existing technology are as follows: 1. At present, there is no literature to study and define the high temperature thermophysical performance parameters of SAF2507 super duplex stainless steel; 2. It is difficult to estimate the welding deformation when welding SAF2507 super duplex stainless steel and low carbon steel , which brings difficulty and unnecessary waste to lofting and blanking; 3. The actual welding process test is time-consuming, material-intensive and manpower-consuming. A complete set of welding process tests from blanking to machining groove, to welding process test, wire cutting It takes at least two weeks for samples, etc., and the sequence transfer process is cumbersome

[0004] Chinese patent 201310624243.8 discloses a method for predicting the welding temperature field of pipeline steel based on ANSYS, and Chinese patent 201310620539.2 discloses a method for predicting residual stress of pipeline steel welding based on ANSYS. The above-mentioned prior art is aimed at the welding of pipeline steel Process prediction, but did not solve the problem of prediction of welding deformation of duplex stainless steel and dissimilar steel

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