CN103697712A - Method for dynamically controlling furnace temperature of heating furnace based on time sensitivity - Google Patents

Method for dynamically controlling furnace temperature of heating furnace based on time sensitivity Download PDF

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Publication number
CN103697712A
CN103697712A CN201210373352.2A CN201210373352A CN103697712A CN 103697712 A CN103697712 A CN 103697712A CN 201210373352 A CN201210373352 A CN 201210373352A CN 103697712 A CN103697712 A CN 103697712A
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furnace
temperature
slab
plate blank
section
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Inventor
葛晓
余金鹏
盛磊
周心富
袁军
赖森贞
李美华
程林
肖瑶
马克步
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Shanghai Meishan Iron and Steel Co Ltd
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Shanghai Meishan Iron and Steel Co Ltd
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Abstract

The invention relates to a method for dynamically controlling the furnace temperature of a heating furnace based on time sensitivity. The method comprises the following steps: (1) dynamically calculating the minimum in-furnace time of a plate blank according to the in-furnace position and discharging rhythm of the plate blank, the heating capacity of the heating furnace and the movement information maximum value of a stepping beam; (2) retrieving the specific heat capacity of the heat conductivity of the plate blank according to the actual in-furnace temperature of the plate blank to obtain physical plate blank parameters corresponding to the actual temperature of the plate blank; (3) calculating average physical parameters of the plate blank in each section; (4) predicting the temperature of the plate blank reaching the section end, and calculating the furnace temperature sensitivity of the plate blank; (5) calculating the maximum temperature rise rate of the plate blank under the condition of different furnace temperatures according to the thermal expansion coefficient, stress and elastic modulus of the plate blank; (6) establishing an optimum furnace temperature setting target function, and then controlling the furnace temperature according to the optimum furnace temperature setting target function, wherein the constraint condition is an equivalence relation established according to the steps (4, 5 and 6). According to the method, the temperature rise rate of the furnace temperature can be dynamically controlled, so that over-heating or insufficient soaking of the plate blank is avoided.

Description

Dynamic heat stove method for controlling furnace temperature based on time sensitivity
technical field:
The present invention relates to a kind of dynamic heat stove method for controlling furnace temperature based on time sensitivity, belong to metallurgical technology field.
background technology:
In prior art, adopted corresponding each steel grade set temperature calculating parameter, according to temperature computation setting parameter furnace temperature setting value, this scheme has following problem:
1. it is little that this scheme is only applicable to the variation of steel grade target temperature, continuously the steel rolling environment of operation; Large for steel grade object variations, occur that new steel grade, rolling environment change, while there is blowing out, situation to be rolled, this technical scheme is not owing to considering the time of staying of slab in stove, and its iron scale is all large than optimal case with the consumption of the energy, so its implementation result is unsatisfactory.
2. this technical scheme changes for section target temperature, and in the time of need to controlling each section, because section control target changes, and the setting of actual furnace temperature does not have corresponding adjustment, so its implementation result is undesirable.
3. this technical scheme, for special steel grade, need to be carried out different heating mode in different heating section, as is rapidly heated, can not be distinguished during the mode such as insulation, make slab have the shortcomings such as burning or soaking deficiency, so its implementation result is unsatisfactory.
Summary of the invention:
The object of the invention is provides a kind of dynamic heat stove method for controlling furnace temperature based on time sensitivity for the problem of above-mentioned existence, can control dynamically the heating rate of furnace temperature, avoids slab burning or soaking not enough.
Above-mentioned object realizes by following technical scheme:
Dynamic heat stove method for controlling furnace temperature based on time sensitivity, comprises the steps:
(1) according to slab position, the rhythm of coming out of the stove, heating furnace heating efficiency and its shortest time inside furnace of step rate mobile message maximum dynamic calculation in stove;
(2), according to slab actual temperature in stove, retrieval slab thermal conductivity specific heat capacity, utilizes linear interpolation algorithm to obtain the corresponding slab physical parameter of slab actual achievement temperature;
(3) according to the physical length of slab prediction the shortest time inside furnace, slab actual achievement temperature and each section of heating furnace, calculate slab average physical parameter in each section;
(4) temperature while arriving section end according to the shortest time inside furnace prediction of the average physical parameter of slab and residue slab, and computing board biscuit furnace warming degree;
(5) according to slab thermal coefficient of expansion, stress, calculate slab maximum heating rate in different furnace temperature situations from elastic modelling quantity;
(6) set up optimal furnace temperature target setting function, constraints is the equivalence relation of setting up according to step 4, step 5 and step 6, then according to optimal furnace temperature target setting function, carries out Control for Kiln Temperature.
The described dynamic heat stove method for controlling furnace temperature based on time sensitivity, in each section described in step (3), average physical parameter comprises that each section of avergae specific heat calculated and each section of evenly heat reception and registration rate calculated.
Beneficial effect:
The present invention is according to the shortest time inside furnace of maximum dynamic setting of the rhythm of coming out of the stove, heating furnace heating efficiency and step rate mobile message; During prediction slab tapping temperature, according to the shortest time inside furnace, and computing board biscuit furnace warming degree value, can directly obtain the analytic expression of slab tapping temperature predicted value, avoid iterative computation.Soaking temperature when guaranteeing that slab is come out of the stove, can pass through computing board biscuit furnace warming degree value, and a constraints using slab soaking restriction temperature as optimizing function realizes.For the dynamic heating rate of controlling furnace temperature, can be using the heating rate of slab and the constraints realization of the hot physical property performance of slab as optimizing function; In order to guarantee to calculate convergence rate and precision, the needs that meet online dynamic setting can iterative computation 2,3 times.
The specific embodiment:
Embodiment 1:
Step 1: slab is according to its position, the rhythm of coming out of the stove, heating furnace heating efficiency and its shortest time inside furnace of step rate mobile message maximum dynamic calculation in stove.
Step 2: according to slab actual achievement temperature in stove, retrieval slab thermal conductivity specific heat capacity, utilizes linear interpolation algorithm to obtain the corresponding slab physical parameter of slab actual achievement temperature.Its computational methods are as follows:
Each table is to carry out stepping according to steel grade and temperature (every 50 ℃).
Specific heat calculates:
Figure 249910DEST_PATH_IMAGE001
time
Figure 560675DEST_PATH_IMAGE002
Figure 221857DEST_PATH_IMAGE003
time
Figure 883651DEST_PATH_IMAGE004
Figure 214445DEST_PATH_IMAGE005
time (k=1～27)
Figure 645296DEST_PATH_IMAGE006
Wherein, : slab mean temperature (℃);
Figure 862355DEST_PATH_IMAGE008
: avergae specific heat (Kcal/kg ℃); : specific heat in table (Kcal/kg ℃);
Figure 169282DEST_PATH_IMAGE010
: slab sign;
Figure 966074DEST_PATH_IMAGE011
: specific heat layering level in table
The coefficient of heat conduction calculates
Figure 543073DEST_PATH_IMAGE012
time
Figure 850558DEST_PATH_IMAGE013
Figure 316654DEST_PATH_IMAGE014
time
Figure 51392DEST_PATH_IMAGE015
Figure 847179DEST_PATH_IMAGE016
time (k=1～27)
Figure 272868DEST_PATH_IMAGE017
Wherein,
Figure 719768DEST_PATH_IMAGE007
: slab mean temperature (℃); : the evenly heat coefficient of conductivity (Kcal/mhr ℃);
Figure 911419DEST_PATH_IMAGE019
: the coefficient of heat conduction in table (Kcal/mhr ℃);
Figure 809974DEST_PATH_IMAGE010
: slab sign;
Figure 114310DEST_PATH_IMAGE011
: specific heat layering level in table
Step 3: calculate slab average physical parameter in each section according to the physical length of slab prediction the shortest time inside furnace, slab actual achievement temperature and each section of heating furnace.
Each section of avergae specific heat calculated:
According to each section of entrance side/outlet side temperature, from the specific heat than retrieving hotlist, calculate avergae specific heat around here.
Figure 502435DEST_PATH_IMAGE020
=f(
Figure 326341DEST_PATH_IMAGE021
)，
In formula:
Figure 825325DEST_PATH_IMAGE020
: specific heat (kcal/kg ℃),
Figure 478DEST_PATH_IMAGE022
: slab mean temperature (℃).
When calculating first, each section of outlet side temperature also do not calculated,
Figure 559505DEST_PATH_IMAGE023
=f (
Figure 567912DEST_PATH_IMAGE024
),
In formula:
Figure 811199DEST_PATH_IMAGE025
: each section of avergae specific heat (kcal/kg ℃),
Figure 87197DEST_PATH_IMAGE024
: each section of entrance side board briquette (during the section of slab place, being Current Temperatures),
K: each section of segment number.
While calculating for the second time, by last outlet side temperature of trying to achieve, calculate:
Figure 820054DEST_PATH_IMAGE026
Figure 299446DEST_PATH_IMAGE025
=
In formula:
Figure 94227DEST_PATH_IMAGE027
: each section of outlet side board briquette of last calculating,
Figure 364014DEST_PATH_IMAGE028
: each section of evenly heat reception and registration rate calculated.
When cause is calculated for the first time, outlet side board briquette does not also calculate, therefore board briquette =
Figure 250772DEST_PATH_IMAGE024
,
In formula:
Figure 209763DEST_PATH_IMAGE024
: each section of entrance side board briquette (during the section of slab place, being Current Temperatures).
Figure 7823DEST_PATH_IMAGE030
=
Figure 33548DEST_PATH_IMAGE031
{(
Figure 490462DEST_PATH_IMAGE032
+ ( }( +
Figure 277569DEST_PATH_IMAGE021
+ 546 )
In formula: : each section of evenly heat reception and registration rate,
Figure 208058DEST_PATH_IMAGE034
: each section of necessary furnace temperature (℃),
Figure 669126DEST_PATH_IMAGE022
: each section of mean temperature (℃),
Figure 288851DEST_PATH_IMAGE035
: proportion (kg/ ),
Figure 494016DEST_PATH_IMAGE037
: Stefan-Boltzmann constant,
Figure 324437DEST_PATH_IMAGE025
: each section of avergae specific heat (kcal/kg ℃).
While calculating for the second time, by the last outlet side temperature of calculating, ask each section of mean temperature and evenly heat reception and registration rate
= (
Figure 964026DEST_PATH_IMAGE024
+
Figure 232721DEST_PATH_IMAGE027
) / 2
In formula:
Figure 668381DEST_PATH_IMAGE038
: last each section of outlet side board briquette (℃)
Figure 361400DEST_PATH_IMAGE039
=
Figure 829814DEST_PATH_IMAGE026
Step 4: temperature while arriving section end according to the shortest time inside furnace prediction of the average physical parameter of slab and residue slab, and computing board biscuit furnace warming degree.
Wherein,
Figure 690902DEST_PATH_IMAGE041
: each section of outlet side slab predicted temperature (℃);
Figure 882718DEST_PATH_IMAGE042
: each section of prediction residue time inside furnace (hr);
Figure 258336DEST_PATH_IMAGE043
: slab thickness (m)
Step 5: calculate slab maximum heating rate in different furnace temperature situations from elastic modelling quantity according to slab thermal coefficient of expansion, stress.
Wherein,
Figure 955783DEST_PATH_IMAGE011
: heating rate;
Figure 741336DEST_PATH_IMAGE045
: slab temperature diffusivity; : allowable stress;
Figure 766241DEST_PATH_IMAGE047
: metal linear expansion coefficient;
Figure 345514DEST_PATH_IMAGE048
: elastic modelling quantity;
Figure 692182DEST_PATH_IMAGE049
: METAL HEATING PROCESS depth of penetration heating.
Step 6: set up optimal furnace temperature target setting function, meeting under the prerequisite of heating of plate blank quality, heating furnace energy consumes best principle, its constraints is the equivalence relation of setting up according to step 4, step 5 and step 6.
Figure 617893DEST_PATH_IMAGE050
wherein,
Figure 694826DEST_PATH_IMAGE051
;
Figure 125677DEST_PATH_IMAGE052
；
Figure 833126DEST_PATH_IMAGE053
: last temperature of each section of outlet side slab of calculating (℃);
Figure 919900DEST_PATH_IMAGE034
: each section of necessary furnace temperature (℃);
Figure 738207DEST_PATH_IMAGE054
: each section of necessary furnace temperature correction (℃);
Figure 210515DEST_PATH_IMAGE055
: extraction target temperature (℃);
Figure 14830DEST_PATH_IMAGE056
: the restriction value of the equal temperature of guaranteeing to come out of the stove (℃);
Figure 526583DEST_PATH_IMAGE057
: the first bringing-up section and the second bringing-up section temperature inversion coefficient;
: preheating section and the first bringing-up section temperature inversion coefficient;
Figure 475395DEST_PATH_IMAGE059
: each band prediction residue time inside furnace (hr);
Figure 462330DEST_PATH_IMAGE060
；
: stove rear and preheating section temperature inversion coefficient.Definite mode of temperature inversion coefficient wherein:
Figure 431609DEST_PATH_IMAGE062
；
；
Figure 36345DEST_PATH_IMAGE064
By the correction of the trying to achieve necessary furnace temperature that adds, if result of calculation can not meet the requirement of slab tapping temperature, then above formula calculates, and through iterating calculating, result converged in permissible variation.
Figure 208893DEST_PATH_IMAGE065
Wherein,
Figure 717235DEST_PATH_IMAGE034
: each section of necessary furnace temperature (℃);
Figure 287150DEST_PATH_IMAGE054
: each section of necessary furnace temperature correction (℃);
Figure 612958DEST_PATH_IMAGE011
: each section of segment number.
Application example:
Table 1 slab physical parameter table, corresponding physical parameter in the time of can retrieving this steel grade actual achievement temperature value by this table:
Steel grade Temperature grade Specific heat capacity Thermal conductivity
Mild steel 50 0.116 55．3
Mild steel 200 0.12 53.4
Mild steel 350 0.124 52
… … …
Table 2 slab radiation coefficient table, can retrieve this steel grade theory corresponding radiation coefficient during short time inside furnace by this table:
Steel grade grade Theoretical residue time inside furnace Radiation coefficient
Mild steel 120 0.6
Mild steel 240 0.4
Medium carbon steel 120 0.58
… … …
Table 3 setting value table:
Heat (batch) number Stove rear (on) Stove rear (under) Preheating section (on) Preheating section (under) Add 1 section (on) Add 1 section (on) …
1 980 990 1120 1140 1200 1220 …
2 970 970 1130 1120 1220 1210 …
3 960 980 1180 1130 1220 1260 …
According to steel grade kind and the shortest time inside furnace of theory, determine slab radiation coefficient, substitution prediction board briquette formula calculates slab section end accounting temperature.
Illustrate: after the setting value of all sections has been calculated in stove, all setting values are saved in database setting value table (in Table 3), and are presented in L2 setting value supervisory frame.

Claims (2)

1. the dynamic heat stove method for controlling furnace temperature based on time sensitivity, is characterized in that: comprise the steps:
(1) according to slab position, the rhythm of coming out of the stove, heating furnace heating efficiency and its shortest time inside furnace of step rate mobile message maximum dynamic calculation in stove;
(2), according to slab actual temperature in stove, retrieval slab thermal conductivity specific heat capacity, utilizes linear interpolation algorithm to obtain the corresponding slab physical parameter of slab actual achievement temperature;
(3) according to the physical length of slab prediction the shortest time inside furnace, slab actual achievement temperature and each section of heating furnace, calculate slab average physical parameter in each section;
(4) temperature while arriving section end according to the shortest time inside furnace prediction of the average physical parameter of slab and residue slab, and computing board biscuit furnace warming degree;
(5) according to slab thermal coefficient of expansion, stress, calculate slab maximum heating rate in different furnace temperature situations from elastic modelling quantity;
(6) set up optimal furnace temperature target setting function, constraints is the equivalence relation of setting up according to step 4, step 5 and step 6, then according to optimal furnace temperature target setting function, carries out Control for Kiln Temperature.
2. the dynamic heat stove method for controlling furnace temperature based on time sensitivity according to claim 1, is characterized in that: in each section described in step (3), average physical parameter comprises that each section of avergae specific heat calculated and each section of evenly heat reception and registration rate calculated.
CN201210373352.2A 2012-09-27 2012-09-27 Method for dynamically controlling furnace temperature of heating furnace based on time sensitivity Pending CN103697712A (en)

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Cited By (4)

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CN105838869A (en) * 2015-01-15 2016-08-10 宝山钢铁股份有限公司 Steel plate quenching furnace heating process on-line adjustment method
CN106191411A (en) * 2015-04-29 2016-12-07 宝山钢铁股份有限公司 A kind of time inside furnace control method for steel plate heat treatment
CN106874591A (en) * 2017-02-10 2017-06-20 中冶华天南京工程技术有限公司 A kind of computational methods of square billet heating process temperature distribution
CN106906351A (en) * 2017-02-10 2017-06-30 中冶华天南京工程技术有限公司 A kind of board briquette forecasting model and optimum furnace method

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CN101929806A (en) * 2009-06-22 2010-12-29 宝山钢铁股份有限公司 Control method of pulse heating furnace

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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105838869A (en) * 2015-01-15 2016-08-10 宝山钢铁股份有限公司 Steel plate quenching furnace heating process on-line adjustment method
CN105838869B (en) * 2015-01-15 2018-01-30 宝山钢铁股份有限公司 A kind of steel plate quenching stove heat technique on-line tuning method
CN106191411A (en) * 2015-04-29 2016-12-07 宝山钢铁股份有限公司 A kind of time inside furnace control method for steel plate heat treatment
CN106191411B (en) * 2015-04-29 2018-01-30 宝山钢铁股份有限公司 A kind of time inside furnace control method for steel plate heat treatment
CN106874591A (en) * 2017-02-10 2017-06-20 中冶华天南京工程技术有限公司 A kind of computational methods of square billet heating process temperature distribution
CN106906351A (en) * 2017-02-10 2017-06-30 中冶华天南京工程技术有限公司 A kind of board briquette forecasting model and optimum furnace method
CN106906351B (en) * 2017-02-10 2019-04-12 中冶华天南京工程技术有限公司 A kind of board briquette forecasting model and optimum furnace method
CN106874591B (en) * 2017-02-10 2019-12-03 中冶华天南京工程技术有限公司 A kind of calculation method of square billet heating process temperature distribution

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Application publication date: 20140402