Prediction method and system thereof of lamellar tearing resistance performance of steel used for high-rise building
A technology for anti-layered tearing and high-rise buildings, applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve excellent universality, improved production technology, and friendly interface
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[0056] Example 1
[0057] Take the high-rise building steel Q420EZ35 with 80mm plate thickness as an example, the process flow is: hot metal pre-desulfurization → converter smelting → LF refining → RH vacuum degassing → continuous casting on the continuous casting machine (the thickness of the continuous casting billet is 320mm), mainly hot rolling The process parameters are as follows: open rolling temperature 1050~1150℃, final rolling temperature 830~890℃, crimp temperature 510~590℃, continuous casting speed=0.65m / min, light reduction ratio=1.13mm / m.
[0058] Use MATLAB software to map the existing rolling process parameters-lamellar tear resistance performance ( i=1, 2, 3, j=0,1,2,...,k) Perform PLS calculation, and the algorithm steps are as follows.
[0059] Step 1: The relevant process data of rolled samples (≥9) are shown in Table 1.
[0060] Table 1 Sample process parameters and test results
[0061]
[0062] Step 2: Investigate the multiple correlations between input variable...
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[0083] Example 2
[0084] In order to fully illustrate the general applicability of the prediction method and system, now take Q420D with a plate thickness of 40mm as an example. The process flow is: hot metal pre-desulfurization → converter smelting → LF refining → RH vacuum degassing → continuous casting on the 3rd continuous casting machine (The thickness of the continuous casting slab is 220mm). The main process parameters are: the opening temperature of 980~1080℃, the final rolling temperature of 830~870℃, the curling temperature of 470~550℃, the continuous casting speed=1.1m / min, the light reduction rate = 1.11mm / m. The modeling and optimization process and steps are the same as in Example 1.
[0085] Step 1: The relevant process data of rolled samples (≥9) are shown in Table 5.
[0086] Table 5 Sample process parameters and test results
[0087]
[0088] After step 2 to step 4 described in Example 1, the PLS prediction model of the anti-lamellar tearing performance is obtaine...
Example Embodiment
[0095] Example 3
[0096] Taking Q420GJEZ35 with a plate thickness of 60mm as an example, the process flow is: hot metal pre-desulfurization → converter smelting → LF refining → RH vacuum degassing → continuous casting on the No. 3 continuous casting machine (the thickness of the continuous casting billet is 220 mm). The main process parameters are :Open rolling temperature 1030~1080℃, final rolling temperature 840~880℃, crimp temperature 500~550℃, continuous casting speed=1.1m / min, light reduction ratio=1.11mm / m. The modeling and optimization process and steps are the same as in Example 1.
[0097] Step 1: The relevant process data of rolled samples (≥9) are shown in Table 7.
[0098] Table 7 Sample process parameters and test results
[0099]
[0100] After the steps 2 to 4 described in Example 1, the PLS prediction model of the anti-lamellar tearing performance is obtained, and the anti-lamellar tearing performance of Q420GJEZ355 steel for high-rise buildings Ψ Z for:
[0101] Ψ Z ...
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