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Ingot casting quality evaluation method based on numerical simulation

A quality evaluation and numerical simulation technology, applied in the field of metal material casting, can solve the problems of increasing the amount of follow-up sample processing, the inability to evaluate the relationship between the quality of the pouring process steel ingot, and the difficulty of popularization and application, so as to shorten the research and development time, good promotion, and The effect of reducing R&D costs

Active Publication Date: 2018-11-02
KUNMING UNIV OF SCI & TECH
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Problems solved by technology

However, in order to avoid the influence of the heat-affected zone, the use of flame cutting will increase the amount of processing of subsequent samples to a certain extent; in addition, this method mainly focuses on engineering practice, and cannot evaluate the relationship between the pouring process and the quality of the ingot, and it is difficult to apply it to other alloys Ingots of system or other sizes

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  • Ingot casting quality evaluation method based on numerical simulation
  • Ingot casting quality evaluation method based on numerical simulation
  • Ingot casting quality evaluation method based on numerical simulation

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Embodiment

[0029] The selected ingot is 96T steel ingot, the ingot shape (steel ingot mold side mold) is made of cast iron, the size parameters are: height 2889mm, upper radius 1091mm, lower radius 973mm, height-to-diameter ratio 1.4, taper 8.2, volume 9.94m 3 . The pouring alloy material is 70Cr3Mo, the pouring temperature is 1550°C, and the pouring speed is 80Kg / s. The ratio of mold height to diameter and mold taper are selected as factors affecting the quality of ingots. Each factor takes five levels. Among them, the ratio of height to diameter is 0.8, 1.1, 1.4, 1.7 and 2.0, and the taper is 5.5, 7.0, 8.5, 10.0 and 11.5, two factors and five levels of full factorial orthogonal experiments, a total of 25 groups of experiments, while changing the height-to-diameter ratio and taper of the ingot shape, keep the volume of the ingot shape unchanged.

[0030] On the premise that the casting alloy material and casting process parameters remain unchanged, the above 25 groups of tests are simu...

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Abstract

The invention discloses an ingot casting quality evaluation method based on numerical simulation. A factor which affects the quality of an ingot casting is taken as an investigation factor, a multi-factor multi-level full factorial orthogonal test is designed, the solidification process of each experiment is simulated and calculated through numerical simulation software, a first quality evaluationstandard coefficient which contains an ingot casting defects is established, an investigation factor and an equation corresponding to the first value are obtained through linear fitting, and responseoptimization is adopted to find the corresponding factor level, i.e., a parameter with the optimal ingot casting performance when the first value is a minimum value. A probability that metallurgy defects are generated in an ingot casting solidification process is lowered so as to improve ingot casting quality.

Description

technical field [0001] The invention relates to a numerical simulation-based ingot quality evaluation method, which belongs to the field of metal material casting. Background technique [0002] After metal materials are smelted, purified and alloyed, they must be cast into ingots or billets with a certain cross-sectional shape and size, and the required components can only be obtained after subsequent thermal processing and mechanical processing. However, the filling and solidification of metal is a very complex physical process, involving the coupling of various physical phenomena, including fluid mechanics, diffusion, phase change, heat conduction, etc., and the resulting shrinkage porosity, macrosegregation, thermal stress and cracks etc. Using experimental tests to analyze the influence of ingot process parameters on ingot defects is not only time-consuming, labor-intensive and costly, but also the results obtained have poor generalizability, making it difficult to appl...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F2111/10G06F30/20
Inventor 卜恒勇周新军李威李萌蘖
Owner KUNMING UNIV OF SCI & TECH
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