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Online predicting method for mechanical properties of cast steel material

A technology of material mechanics and prediction methods, which is applied in the direction of measuring devices, scientific instruments, and analytical materials, etc., and can solve problems such as the mechanical properties of cast steel materials not meeting the requirements

Active Publication Date: 2015-06-03
TIANJIN HUIFENG METAL DETECTION
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The result is that the content of the main elements of molten steel meets the requirements, but the mechanical properties of the cast steel material do not meet the requirements.

Method used

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  • Online predicting method for mechanical properties of cast steel material
  • Online predicting method for mechanical properties of cast steel material
  • Online predicting method for mechanical properties of cast steel material

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0156] The first step is to configure the dedicated device:

[0157] The special device for the online prediction method of the mechanical properties of cast steel mainly includes three parts: spectrometer 1, a display 2 that displays the online calculation results of mechanical properties of cast steel, and a computer 3 equipped with calculation equations for the mechanical properties of cast steel. Secondly, it is necessary to measure the cast steel Universal testing machine and hardness tester for various mechanical properties of materials; the model of spectrometer 1 used is Thermo Fisher ARL 8860 photoelectric direct reading spectrometer, and the model of monitor 2 used to display the online calculation results of mechanical properties of cast steel materials is Dell monitor. The model of the computer 3 installed with the calculation equations of cast steel mechanical properties is Vostro 3900 series.

[0158] The second step is to accumulate the elemental composition con...

Embodiment 2

[0299] In this example, the calculation equations of tensile strength, yield strength, elongation, reduction of area and Brinell hardness obtained from 60 sets of accumulated data of ZG45Mn steel are used to predict the composition of ZG45Mn to be: C 0.446%, Si 0.383%, Mn1.35 %, P 0.026%, S 0.037%, Cr0.0390%, Ni 0.024%, Mo 0.021%, Cu 0.034%, Ti 0.006%, Co0.011%, Al 0.025%, V 0.023%, W 0.006%, B 0.002 % and Pb 0.013% of the mechanical properties are as follows: tensile strength = -588.952·0.446%+5051.306·0.383%+11.49591·1.35%+82768.96·0.026%-44821.9·0.037%+836.6707·0.0390%-1185.4·0.00% %+1157.87·0.021%+6707.833·0.034%+13838.36·0.006%-18933.8·0.011%+26654.42·0.025%+2720.107·0.023%+115524.5·0.006%-163448·0.002%+90322.88·0.013%-3925.09=657N ;

[0300] 屈服强度=-1808.52·0.446%+3889.31·0.383%+443.3634·1.35%+30772.88·0.026%-22520.1·0.037%+542.5861·0.0390%-673.869·0.024%+708.8326·0.021%+3704.3339·0.034%+14968.84 0.006%-13616.9 0.011%+6186.412 0.025%+2503.288 0.023%+98602.59 0.006%-18662...

Embodiment 3

[0307] In this example, the tensile strength, yield strength, elongation, reduction of area and Brinell hardness calculation equations obtained from 120 sets of data accumulated by American Standard WCB steel are used to predict the composition of WCB as follows: C 0.27%, Si 0.35%, Mn0 .90%, P 0.031%, S 0.043%, Cr 0.35%, Ni 0.28%, Mo 0.21%, Cu 0.075%, Ti 0.007%, Co 0.012%, Al 0.013%, V 0.01%, W 0.011%, B The mechanical properties of 0.004% and Pb 0.009% are as follows:

[0308]Tensile strength=-588.952·0.27%+5051.306·0.35%+11.49591·0.90%+82768.96·0.031%-44821.9·0.043%+836.6707·0.35%-1185.6·0.28%+1157.87·0.21%+357%07 13838.36·0.007%-18933.8·0.012%+26654.42·0.013%+2720.107·0.01%+115524.5·0.011%-163448·0.004%+90322.88·0.009%-3925.09=545N;

[0309] 屈服强度=-1808.52·0.27%+3889.31·0.35%+443.3634·0.90%+30772.88·0.031%-22520.1·0.043%+542.5861·0.35%-673.869·0.28%+708.8326·0.21%+3704.3339·0.075%+14968.84 0.007%-13616.9 0.012%+6186.412 0.013%+2503.288 0.01%+98602.59 0.011%-186624 0.004%+6...

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Abstract

The invention discloses an online predicting method for the mechanical properties of a cast steel material, and relates to a data processing system or a data processing method aiming to predict the mechanical properties of a material. An easiest adjustment method comprises the following steps: establishing regression equations for calculating the mechanical properties of the cast steel material by the content of each element component in molten steel; substituting the content results of each element component which are quickly measured by a spectrograph into the calculation equations; calculating the mechanical properties, such as the tensile strength, the yield strength, the elongation, the contraction rate of a cross section, and the Brinell hardness of the cast steel material; prompting that the requirements on the calculated various mechanical properties are met on line. Waste products which do not meet the requirements on the mechanical properties of the cast steel material are prevented by the method.

Description

technical field [0001] The technical solution of the present invention relates to a data processing system or method for the purpose of predicting the mechanical properties of materials, specifically an online prediction method for the mechanical properties of cast steel materials. Background technique [0002] The delivery condition of cast steel products is that the mechanical properties, including tensile strength, yield strength, elongation, reduction of area and hardness meet the standard requirements. At present, the method of measuring the mechanical properties of cast steel materials is: pour molten steel into the mold of the test rod, and after cooling, unpacking, sand cleaning, shot blasting, annealing, and cutting, it can be completed on the mechanical property testing machine in the laboratory. For the measurement of mechanical properties, by the time the mechanical property test report is released, the cast steel products have already been cast. [0003] In the...

Claims

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Application Information

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IPC IPC(8): G01N3/00
Inventor 马建华郭建斌
Owner TIANJIN HUIFENG METAL DETECTION