1312069 九、發明說明： 【發明所屬之技術領域】 之尺關在滾軋金屬材料之線中，用以製造所欲 :則及㈣ί ，並得到所欲的材質之滾軋線的材質預 測及材質控制裝置。 貝了貝 【先前技術】 产為首之金屬材料中，其所具有之機械性特性（強 二=金;Τ)、電磁性特性(透磁率等)等材質，係 條件心=合::::=、Γ條“及冷卻 添加量來進行，作在，效出 素之 啼左右m 例如係使料保持_ τ所希望的材質之製品，將加熱條件、：因此： =件:以適當調整，來精心製造材質事宜係為"。 t 十對加熱、加工、以及冷卻之各條件，儀1夂 長年累積的經驗來決定加熱溫度目標：、 == 值、及冷卻速度目標值等，而為達成上 度控制及尺寸控制的方法係為普通的 對製品規格之高度化、多樣化要求 =決;=驗之決定方法並不-定能將上述目標值： 、產生無法得到所希望之材質的案例。 因此’在滾軋中收集板厚、材料溫 由將其作為材質預測模型之輸入資料來謀求二= 318567(修正版） 6 1312069 叙所習知。此方法，係於滾軋開始前根據鋼材 好^刑^滚乾後的鋼材尺寸、鋼材材質保證值，而使用 於定加熱條件、滾乾條件、冷卻條件，並且， 於二=程、粗師。♦。㈣)製程、以及 ㈣ 杏測信，:roll)直r、札輕旋轉數之實績值時，根據上述 二或箱〜用材料型重新決定下個製程之後的滾軋條 的冷卻條件，來抑制製品㈣ 丨如，參照專利文獻υ。 个^⑼ 匕卜取代材質模型而使用類神經網路（此_ ⑽鑛k)之控财法已為人所知。 ==後的金屬材料所具有的特性以二= 产（例m網路’來謀求提高類神經網路的預測精破 又（例如，參照專利文獻2)。 專利文獻1:日本專利第2509481號 2: 4___349‘號公報 【發明内容】 (發明所欲解決之課題） 但是’在使用材質預测模 的預測之實缋值而a η 法中’以使用於材質 精軋德么 於在鋼材之加熱後、粗軋後、 楕軋後、冷卻後所得到的各個 交 利用製程中之資旬。士 則後的貝I貝值，而不 前高，° 4 ’例如滾軋材之溫度即使在製程 二於製程的途中亦有溫度比製程前上昇 障况巾僅由錢關係係不—定能得到高精輕的預测 318567(修正版） 7 1312069 結果。 另方面，在取代材質模型而使用類神經網路之抑 方法中，雖藉由調查加工後或熱處理後的金屬材料所^有 = = ^教資料供應予類神經網路，來謀求類神經 、'、·、確度之提升，但如前所述加熱條件、加工 件、以及冷卻條件與製品的材質關係係極複雜，而為了以、 良好的精確度來模擬其關係必須有遍及多層次之大規 類神經網路，而為了該學習必須供應龐大的指教資料故有 改善精確度要花費時間之t然若❹小規模的類神 經網路則指教資料只要少數即可，但此時產生可適用的摔 作範圍被限定之問題。 保 、本發明係為了解決上述之課題而研創者，而以提供一 種滚乾線之材質_及材質控制裝置為㈣，係藉由具備 模擬製程的變化過程，並财資訊的功能，以提升材質模 型之預測精確度，且以高精確度來控龍質。 、 (解決課題之手段） 本發明的;袞乾線之材質預測及材質控制裝置，係將金 屬材料加熱到預定的溫度並滾軋之熱滾軋線所製造的滚軋 材之包含厚度與寬度的尺寸形狀及滾軋材的溫度加以控制 之f置’係具備：將從測定熱滾軋線及滾軋材的狀態之感 ;別器以及控制熱滾乳線之控制裝置所得到之滾乾實績資 祝予以收集之滾乳實績資訊收集功能；根據機械規格 (specification)之固定資訊、滾軋材之包含厚度與寬度的目 標資訊及滾軋實績資訊，制無法作為滾軋實績資訊而收 318567(修正版) 8 1312069 集之表示滾軋線之中間狀態的製程中間資訊之製程資訊補 '足功能；根據滾軋實績資訊及製程中間資訊，一邊與滾札 實績資訊及製程中間資訊之進行同步一邊預測滾軋材的材 質之材質預測功能；以及控制預測的材質俾使材質與目標 之材質一致的材質控制功能。 $ 此外，滾軋實績資訊收集功能與製程資訊補足功能係 以不同的計算機來達成。 此外，製程資訊補足功能，係由根據滾軋模型之模擬 攀器（simulator)所構成，且透過滚軋之進行來執行，而為、了 提鬲滾軋模型的精確度，具有使用滾軋實績資訊進行滾軋 模型的學習之滾軋模型學習功能。 又，材質預測功能係根據表示材質的狀態變化之材質 模型，而可藉由料的進行來執行者，且為了提高材質模 型的精確度’具有使用滾軋後測定之材質資訊來進行材質 模型的學習之材質模型學習功能。 _ (發明之功效） 依據本發明，可實現容易達成所欲之材質的熱滾軋線 $材質預測及材質控制裝置。再者，補足無法以來自感測 盗等之實績值來測定的資訊，而可進行更高精確度的材質 =及材質控制。此外’透過以不同的計算機達成滚乾實 =貝訊收集功能以及製程資訊補足功能而可附加新的功 月b，但不會對操作或原有的功能造成干擾。 【實施方式】 為更詳細說明本發明，依照附上的圖式來說明實施 9 318567(修正版） 1312069 例。 第1實施例 及本發㈣1實施㈣滾軋狀材質預測 料所：：置之方塊構成圖。在滾軋線1中，由金屬材 枓所組成之滾軋材’係加熱到預定的溫度，並經過滾軋、 ~部等製程而成為製品。在滾軋線i雖具備有加熱裝置、 驅動軋輥之馬達驅動裝置、變更軋輥開Π幅度之壓下裝 ^冷卻裝置等’用以控制所製造的滾軋材之包含厚度盘 寬度荨的尺相狀及滾軋材的溫度，但是在此省略該等構 件的圖不。 滾軋線1之設定控制，係首先於高階計算機2決定要 '、…樣的製ασ，且將該製品規格，譬如包含厚度、寬度、 截面开^狀等資訊之滾軋命令送到:定控制用計算機3。在 設定控制用計算機3中為達成所欲的製品品質進行必要的 設定計f、控制計算，且控制滾軋線i。此時，在設定控 制3巾’―般而言’因需要進行依據滚軋模型等 之預測°十异’故内建有滾軋模型，且為了將該模型作適應 修正一般係進行比較預測的值與滾軋實績值。 ^ 次因此需要收集、管理滾軋實績值之功能，而以滾軋實 、責資訊收集功能5來達成。此滾軋實績資訊收集功能$， =集滾乾材的位置資訊，或配合滾軋材的進度，而將以 又疋在滾軋線之溫度計、荷重元（1〇ad Μ〗〗）、板厚計、板寬 计、板隆起（sheet croWn)計等之感測器所測定的值予以 收集。經收集之資料，係作為遍及整個滾軋材全長之資料 318567(修正版） 1312069 、呆且使用於表示為時時刻刻之資訊。此滾軋實績 資1^收集功能5，係亦有在設定控制用計算機3中達成之 匱况，或亦有在別的計算機中達成之情況。譬如在原有之 滾軋線1若已有與滾軋實績資訊收集功能5等效者亦可加 以利用之。 本發明之滾軋實績資訊收集功能5的必要條件，最好 疋了將在各個感測器測定之資料，或滾軋材的位置資訊以 即時（real-time)的方式傳送到製程資訊補足功能6。但是， •不是即時，多少延遲一些亦無妨。 製程資訊補足功能6，係模擬較光靠滾軋實績資訊收 集功能5無法測定之資料/資訊或從感測器能得到之資料/ 育訊更詳細之在滾軋製程、冷卻製程等滾軋線〗所產生之 現象之功能。製程資訊補足功能6，係可藉模擬器來達成， 並使用可表現動態的滾軋現象之滾軋模型，以數值來重現 滾軋與冷卻的製程。 • 材質預測功能7係將以滾軋實績資訊收集功能5所獲 得之資料與 > 訊、以製程資訊補足功能6計算之詳細的滾 ^、冷卻等相關之中間資訊’以及滚軋材經由滚軋、冷卻 等製程成為製品之滾軋材（製品）的資料與資訊透過材質檢 查系統4予以輸入，並根據上述資訊來預測材質。預測材 貝之杈型並非從以往所習用之滚軋線〗之感測器資訊等所 不的輸出入資訊來預測材質之模型，而必須使用於微小時 間的變化可表示材質的變化之模型。材質預測功能7係於 滾軋材經由滾軋、冷卻等製程成為製品後，利用材質檢查 11 318567(修正版） 1312069 系統4來檢查滾軋材（製品），且輸入材質檢查結果。 材質控制功能8係利用在材質預測功能7所預測之材 質’而算出達成所欲的材質之滚軋條件，並供應該滾軋條 件予設定控制用計算機3。 ” 以下就製程資訊補足功能6的達成方法、材質預測功 ，7内之材質預測模型、材質控制功能8的達成方法加以 洋細說明。 首先’就製程資訊補足功能6之達成方法加以說明。 將第2圖實際的滾軋溫度的變化之情況的—例表示如 下。設為滾軋材9以NO.i滾軋機台l〇i加以滾軋，而在搬 送至丨滾軋機台l〇i+l之間，設置有水冷裝置丨1者。 ，第2圖係表示有由位置丨至位置4之滾㈣9的板厚方 向^溫度分布。於在NO.i滾軋機台l〇i滾軋之前的位置j '皿度刀布中，N0·i滾軋機台1 〇i的進入侧溫度計12之 '則^值，係為滾軋材9上側的表面溫度之945¾，而通常 ^邛的溫度較高，故以此例來看圖示有内部中心溫度為高 +2〇^。在Nai滾軋機台10i之滾軋後的出口側溫度計η 之測定值’係由於熱從滾軋材9被吸收到滾軋軋輥14的表 :向Γ在位置2整體滾軋材9的溫度下降之同時表面溫度 為的溫度差擴大，因而以例子來看表示著上表面溫度 ；， 内部中心溫度為高+3(TC。在位置3滾軋材9之 之傳導到表面’由於所謂的復熱’而使表面與内部 :=ίΓ。在位置4,因水冷裝置11使表面變冷，再 /材9之溫度下降之同時表面溫度與内部的溫度 318567(修正版） 12 1312069 差擴大到+30°C。 為掌握上述滾軋材9的溫度變化，於滾乾以 的位置設置溫度計係困難，此外滚乾材9内部的，= 得不：打推斷。如此僅以溫度計測定之資訊要正確：掌握 滾軋材9的溫度變化之狀態係為困難。因 足功能6中，計算滾軋與冷卻等相關之詳細資^育訊補 於第3圖表示用以計算滾乾材板 一例。在第3圖中在板厚方Θ、隹—4 乂门的/皿度分布之 子方向進彳了 4分割，縣各個以節 點之點來絲，而計算節㈣之熱的料。 以從節點1到節點i+1之一般的描述方法予以表示。中， 第3圖之關係式係如以下。若 V、 成_式。 下右以連續糸列來表示，即1312069 IX. Description of the invention: [Technical field of invention] The ruler is used in the line of rolled metal materials to make the desired: and (4) ί, and obtain the material prediction and material of the rolling line of the desired material. Control device. Beibeibei [Prior Art] Among the metal materials produced by the company, the mechanical properties (strong two = gold; Τ), electromagnetic properties (magnetic permeability, etc.), etc., are conditional heart = combined:::: =, Γ “ 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 、 To carefully manufacture the material, it is the same as the conditions of heating, processing, and cooling. The accumulated experience of the instrument determines the heating temperature target: , == value, and the cooling rate target value. The method of achieving the upper control and the size control is the generalization of the product specifications, the diversification requirements = determination; = the determination method is not - can achieve the above target value:, can not get the desired material Therefore, 'collecting the thickness of the plate during rolling and the material temperature is used as the input data of the material prediction model to seek the second 318567 (revised edition) 6 1312069. This method is based on the pre-rolling. Good steel ^ torture ^ steel after rolling Material size, steel material guaranteed value, and used in fixed heating conditions, drying conditions, cooling conditions, and, in the second =, rough division. ♦ (4)) process, and (four) apricot test,: roll) straight r, When the actual value of the number of rotations is reduced, the cooling conditions of the rolled strip after the next process are re-determined according to the above-mentioned two or box-to-material type to suppress the product (4). For example, refer to the patent document υ. ^^(9) The material model and the use of a neural network (this _ (10) mine k) is well known. The property of the metal material after == is based on the second = production (eg m network) to seek to improve the nerves The prediction of the network is fine (see, for example, Patent Document 2). Patent Document 1: Japanese Patent No. 2509481 2: 4___349' (Consultation) (The problem to be solved by the invention) The actual value of the prediction of the mold and the a η method are used in the various processes of the use of the material after the heating of the steel, after the rough rolling, after the rolling, and after the cooling. After the scholar, the shell I value, not the front height, ° 4 ' For example, even if the temperature of the rolled material is in the process of the second process, there is a temperature higher than the process before the process. The obstacle is only caused by the money relationship. The high-precision prediction can be obtained. 318567 (revised edition) 7 1312069 The result is another. On the other hand, in the method of suppressing the material model and using the neural network-like method, although it is investigated by the metal material after processing or after the heat treatment, the information is supplied to the neural network to seek the nerve-like, , ·, the improvement of the accuracy, but as mentioned above, the heating conditions, the processing parts, and the relationship between the cooling conditions and the material of the product are extremely complicated, and in order to simulate the relationship with good precision, there must be a multi-level general category. Neural network, and for the study must supply a large amount of instructional materials, it takes time to improve the accuracy. However, if the small-scale neural network is a small number of teaching materials, it can be applied at this time. The problem is limited in scope. In order to solve the above-mentioned problems, the present invention provides a material for the spin-drying line and a material control device (4), and the material model is improved by the function of changing the process of the simulation process and the information of the financial information. Predict accuracy and control the dragon with high precision. (Means for Solving the Problem) The material prediction and material control device of the present invention is a thickness and width of a rolled material produced by heating a metal material to a predetermined temperature and rolling a hot rolling line. The size and shape and the temperature of the rolled material are controlled to include the feeling of the state in which the hot rolling line and the rolled material are measured, and the control of the hot rolling line control device. The information collection function of the rolling milk performance collected by the company; according to the fixed information of the mechanical specification, the target information of the thickness and width of the rolled material and the rolling performance information, the system cannot be used as the rolling performance information and receives 318,567 ( Revised Edition) 8 1312069 The process information of the process intermediate information indicating the intermediate state of the rolling line is complemented by the 'foot function'; while the rolling performance information and the intermediate information of the process are synchronized with the rolling performance information and the intermediate information of the process. The material prediction function for predicting the material of the rolled material; and the material control function for controlling the predicted material to match the material of the material to the target. In addition, the rolling performance information collection function and the process information complement function are achieved by different computers. In addition, the process information complement function is composed of a simulation simulator based on the rolling model, and is performed by rolling, and the accuracy of the rolling model is improved, and the rolling performance is used. The information is used to learn the rolling model learning function of the rolling model. In addition, the material prediction function is based on the material model indicating the state change of the material, and can be performed by the material, and in order to improve the accuracy of the material model, the material model is obtained by using the material information measured after rolling. Learn the material model learning function. _ (Effect of the Invention) According to the present invention, it is possible to realize a hot rolling line material prediction and material control device which can easily achieve a desired material. Furthermore, it is possible to make up the information measured from the actual value of the sensory thief, and to achieve higher accuracy material = and material control. In addition, a new power b can be added by using a different computer to achieve the function of drying and the function of the process information, but it does not interfere with the operation or the original function. [Embodiment] In order to explain the present invention in more detail, an example of the implementation of 9 318 567 (Revised Edition) 1312069 will be described in accordance with the attached drawings. First Embodiment and the present invention (four) 1 (4) Rolled material prediction material:: A block diagram of the arrangement. In the rolling line 1, the rolled material □ composed of the metal material is heated to a predetermined temperature, and is subjected to a process such as rolling or a part to form a product. The rolling line i is provided with a heating device, a motor driving device for driving the rolls, a pressing device for changing the opening width of the rolls, and the like, for controlling the thickness of the rolled material including the thickness of the rolled plate. The temperature of the material and the rolled material, but the illustration of the members is omitted here. The setting control of the rolling line 1 is first determined by the high-order computer 2 to determine the ασ of the product, and the product specifications, such as the rolling command including the thickness, the width, the cross-section opening, etc., are sent to: Control computer 3. In the setting control computer 3, necessary setting f and control calculation are performed to achieve desired product quality, and the rolling line i is controlled. At this time, in the setting control 3 towel, "general" is required to carry out a rolling model based on the prediction of the rolling model, etc., and the comparison model is generally used to adapt the model to the correction. Value and rolling performance value. ^ Therefore, it is necessary to collect and manage the rolling performance value function, and to achieve the rolling information and responsibility information collection function 5. This rolling performance information collection function $, = set the position information of the dry material, or match the progress of the rolled material, and will be in the rolling line thermometer, load weight (1〇ad Μ〗), board The values measured by sensors such as thick gauges, plate width gauges, and sheet croWn gauges are collected. The collected data is used as information on the full length of the entire rolling stock 318567 (Revised Edition) 1312069, and is used for information that is always present. This rolling performance 1 is also a case in which the control computer 3 is implemented, or it is also achieved in another computer. For example, if the original rolling line 1 is equivalent to the rolling performance information collecting function 5, it can be used. The necessary conditions for the rolling performance information collecting function 5 of the present invention are preferably to transfer the information measured by each sensor or the position information of the rolled material to the process information complement function in a real-time manner. 6. However, • It is not immediate, and it is no problem how much delay. Process information complement function 6, is a simulation of the rolling performance information collection function 5 can not be measured data / information or information from the sensor / education more detailed in the rolling process, cooling process and other rolling lines The function of the phenomenon produced. The process information complement function 6, which can be achieved by the simulator, and uses a rolling model that exhibits a dynamic rolling phenomenon to reproduce the rolling and cooling process by numerical values. • The material prediction function 7 is based on the information obtained by the rolling performance information collection function 5 and the information related to the details of the rolling, cooling, etc. calculated by the process information complement function 6 and the rolling material is rolled. The data and information of the rolled material (product) of the product such as rolling and cooling are input through the material inspection system 4, and the material is predicted based on the above information. The predictive material is not a model for predicting the material from the input and output information of the sensor information used in the conventional rolling line, but must be used to represent the change of the material in the micro hour. The material prediction function 7 is used to check the rolled material (product) by the material inspection 11 318 567 (corrected version) 1312069 system 4 after the rolling material has been rolled, cooled, etc., and the material inspection result is input. The material control function 8 calculates the rolling conditions for achieving the desired material by using the material predicted by the material prediction function 7, and supplies the rolling condition to the setting control computer 3. The following is a detailed description of the method for obtaining the process information complement function 6, the material prediction function, the material prediction model in 7 and the method for achieving the material control function 8. First, the method for achieving the process information complement function 6 will be described. Fig. 2 shows an example of a change in the actual rolling temperature. The rolling stock 9 is rolled by a NO.i rolling mill l〇i, and is conveyed to a rolling mill l〇i+. l, between the water cooling device 设置1, the second figure shows the thickness direction from the position 丨 to the position of the roll 4 (4) 9 temperature distribution before the NO.i rolling mill l〇i rolling The position of the j's degree knife cloth, the value of the entry side thermometer 12 of the N0·i rolling mill table 1 〇i is the 9453⁄4 of the surface temperature of the upper side of the rolled material 9, and the temperature of the normal temperature is relatively high. It is high, so the internal center temperature is high +2〇^ in this example. The measured value of the outlet side thermometer η after the rolling of the Nai rolling mill 10i is absorbed by the rolled material 9 due to heat. The table to the rolling roll 14: the temperature of the entire rolled material 9 at the position 2 is lowered while the surface temperature is The degree difference is enlarged, so that the upper surface temperature is represented by an example; the internal center temperature is high + 3 (TC. The conduction of the rolled material 9 to the surface at position 3 is caused by the so-called reheating) :=ίΓ. At position 4, the surface of the material is cooled by the water-cooling device 11, and the temperature of the material/material 9 decreases while the difference between the surface temperature and the internal temperature 318567 (revision) 12 1312069 is extended to +30 ° C. It is difficult to set the temperature of the rolled material 9 at the position where it is dried, and it is difficult to set the inside of the rolled material 9, and it is estimated that the information measured by the thermometer is correct: the information of the rolled material 9 is grasped. The state of the temperature change is difficult. In the foot function 6, the detailed information about the rolling and cooling is calculated. Figure 3 shows an example for calculating the dry sheet. In the third figure, the thickness is Fang Zi, 隹 4 乂 的 的 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 皿 / / / / / / / / / / The description method is shown. The relationship of the third figure is as follows. V, into _. The lower right is represented by a continuous queue, ie
Q 0T 0Κ (1) 其中’記，之意思係如下所示。亦表示單位之例子。 Q.每一單位時間之熱的流動[j/s] K A T d ： X ： 熱傳導率[J/(msk：)J 面積[m2] 滾軋材之溫度[degc] 節點間之距離[m] 滾乾材板厚方向之位置 若以差分方程式表示，即為（2)式 318567(修正版） 13 1312069Q 0T 0Κ (1) where 'remember' is as follows. Also an example of a unit. Q. Heat flow per unit time [j/s] KAT d : X : Thermal conductivity [J/(msk:)J area [m2] temperature of rolled material [degc] Distance between nodes [m] Roll If the position of the dry sheet thickness direction is expressed by the difference equation, it is (2) type 318567 (revision) 13 1312069
^ (Z) 八、中》己號之忍心係如下所不。亦表示單位的例子。 =到節點1+1的每單位時間之熱的流_ K .熱傳導率[J/(msk)] A卜…由節點i到節點1+1之間的截面積加2] .於節點i溫度[degC] 差分方程式之解法只要使用—般的方法即可。 如二：::滾.L材舆外部之熱傳達成為交界條件，譬 __kdT. |一 一〆J⑻ 其令記號之意思係如下所示。 α :熱傳達係數 r ··接觸比率[_]^ (Z) Eight, the middle of the "heart" is not as follows. Also an example of a unit. = heat flow per unit time to node 1+1 _ K. Thermal conductivity [J/(msk)] A... from the cross-sectional area between node i to node 1+1 plus 2]. [degC] The solution to the difference equation can be done by using a general method. Such as two::: Rolling. L material external heat transfer becomes a boundary condition, 譬 __kdT. | 一一〆J(8) The meaning of the symbol is as follows. α : heat transfer coefficient r ··contact ratio [_]
再者，下標符號R、w、A 冷卻水、空氣之接觸，“ / 不與滾軋軋輥、 達係數 ^ R係表示與滾乾乳輥之熱傳 '、數，rR係表示與滾軋軋輥之接觸比率。 2亦可轉換為差分方程式細計算機來解答。 個，：二2圖中係將滾乾材的板厚方向之節點數設有5 為相同2 :設有：個，而此為-例，-般而言，若 果。但太右增Ϊ節點數可得到好的精確度之計算結 故節點數使計算負荷變高，而精確度之提高停滞， "'，數之選擇係必須於事前加以檢討。 318567(修正版） 14 •1312069 如上述將滾軋材的溫度，、 進位置，且從上游朝下游之方：予：二著滾!L滾乾材而推 行溫度計算，可詳細得 ^e猎由如此地進 綱。再者，在第二Γ:Γ材質有大的影響之溫 1至位置4之位置，但^為例子雖僅記述有從位置 度計算。 °兄必須有於更詳細的位置之溫 輥二=乾機台之滾乾材的塑性變形中，於乾 輥i縫⑽Icahber)内之變形係依寬度方向 :滾軋機台進入側滾軋平坦的板時， ：。言如’ 之狀態。亦即於S t 係形成通稱帶有隆起 變开,的旦不n、f見度方向之中央部與板端部承受之塑性 影塑二I :變形量的差由於對滾軋材的材質造成 和警’故必須加以考慮。 前所圖ί示製程資訊補足功能6之具體的構成。如 I過二二鞋貧訊補足功能6中，係具有滾軋模型15，透 供應適當的輸入’而可得到滾乾與冷卻之詳細的現 、於必須配合滾軋材的進行將滾乾材的溫度與加工量 哭^輸iil’gj此譬如以滾㈣型15作為計算機上的模擬 ^ 6來達成，且實施高速運算而料算求取滾軋與冷卻之 7 ^ H此時譬如若為溫度模型則如⑴式至⑺式所示 微刀方程式、差分方程式便相當於滾軋模型15。 但疋，為了表示實際的滾軋與冷卻，係適當地學習滾 %型is，且必須使滾軋模型15適應實際的滾軋與冷卻 ?'。因此，如第4圖所示具備滾軋模型學習功能17。譬如 15 318567(修正版) 1312069 (2)(3)式所示之溫度模型的學 測定之溫度的比之# H 右计开之▲度與以感測器 或（3ΗΦ I %，則對（2)式中之熱傳導率 即使=傳達係數修正观。滾軋模型學習功能17 般所公佈之方法亦可達成。 其次就材質預測功能7加以詳 能7的材質模型學習功能…狀圖St 驗= 備的實驗室之手工作業的試 …在材質=:;之::::=’來學習材質模型 亦脾户香^ 係最後進行製品的材質預測，並 等之數Z找驗進行的定量性評估之抗拉強度、延展性 停正材ϋ ’因而比較計算值與實際料之值，且 修正材質模型19的參數。 ，制材質之_，係提議有各式各樣，由表示靜能 再、巾日日、靜態恢復、動態再結晶、 〜 ㈣讀）等之數學式雜所^ 心、恢復日日粒成長&贿 如登載於塑性加工技射二:廣為人知。以-例來看， 技術系列7板滾軋P198至229 f〇NA公司）者。在同教科書，係記载有理論式與其 者0 又亦有根據實際操作資料，以依統計之處理所引導的 簡易模型來代用之情形，以此類的㈣模型而言，遂如， 有^於材料與製㈣】·_)、227((財團法人)S日本 鋼鐵協會）者。 用之斤述，並非表示在上述2個文獻之以往所 用、的’由浪乾線！之感測器資訊等表示的輸出入資訊 318567(修正版) 16 1312069 來預測材質之模型，而必須使用以微小時間的變化可表示 / 材質的變化之模型。 ·· 譬如於下列的文獻，係表示有依據計算機負荷少的增 量法（Incremental Formulation)之預測計算。Furthermore, the subscript symbols R, w, A contact with cooling water and air, "/ not with rolling rolls, coefficient of achievement ^ R means heat transfer with the roll-dried roll", number, rR system and rolling The contact ratio of the roll 2 can also be converted into a differential equation computer to answer. In the 2nd figure, the number of nodes in the direction of the plate thickness of the dry material is set to be the same 2: with: one, and this For example, - in general, if it is. But too much right to increase the number of nodes can get a good degree of accuracy to calculate the number of knots to make the calculation load higher, and the accuracy increase is stagnant, "', number The selection system must be reviewed beforehand. 318567 (Revised Edition) 14 • 1312069 If the temperature of the rolled material is as described above, and the position is from upstream to downstream: Pre: Two rolls! L Roll dry material and push the temperature In the calculation, it is possible to obtain the details in this way. In addition, in the second Γ: Γ material has a large influence on the temperature 1 to position 4, but ^ is only described as the position degree calculation. ° Brother must have a more detailed position of the temperature roller 2 = dry plastic deformation of the dry table, in the dry roll i seam The deformation in Icahber) depends on the width direction: when the rolling mill enters the side to roll a flat plate, the state is as follows: that is, the S t system is formed with a general term with a bulge and the opening is not n, f The plastic part of the central part of the visibility direction and the end of the plate is plasticized. I: The difference in the amount of deformation must be considered due to the material of the rolled material. The previous figure shows the specifics of the process information complement function 6 The composition of the second part of the game is as follows: the rolling model 15 is provided with the rolling of the appropriate input ', and the detailed drying and cooling can be obtained. The temperature and processing volume of the dry material are crying, and the iil'gj is used as the simulation (6) on the computer, and the high-speed calculation is performed to calculate the rolling and cooling. For example, if the temperature model is the micro-knife equation and the difference equation as shown in equations (1) to (7), it is equivalent to the rolling model 15. However, in order to represent the actual rolling and cooling, the roll %is is appropriately learned, and The rolling model 15 must be adapted to the actual rolling and cooling?' Therefore, as shown in Fig. 4, the rolling model learning function 17 is provided. For example, 15 318 567 (corrected version) 1312069 (2) The ratio of the temperature of the temperature model shown by the equation (3) is # H 右▲ degree and sensor or (3 Η Φ I %, then the thermal conductivity in (2) is even = the transmission coefficient correction concept. The method published by the rolling model learning function 17 can also be achieved. Secondly, the material prediction function 7Material model learning function of detail 7...Chart St test = Manual laboratory manual test...Material =:;::::=' to learn the material model and also the spleen incense ^ The material of the product is predicted, and the tensile strength and ductility of the material are quantitatively evaluated by the number Z. Therefore, the calculated value and the actual material value are compared, and the parameters of the material model 19 are corrected. _, the material of the system, is proposed in a variety of ways, from the static energy, towel day, static recovery, dynamic recrystallization, ~ (four) read, etc. Mathematical formula, restore the daily growth and amp Bribes are published in plastic processing technology 2: widely known. In the case of -, the technical series 7 plates rolled P198 to 229 f〇NA company). In the same textbook, there are cases in which the theoretical formula and its 0 are also based on the actual operational data, and the simple model guided by the statistical processing is used. In this type of (4) model, for example, there are ^ In the materials and systems (4)]·_), 227 ((Japan Steel Association). It is not the use of the previous two documents in the past. The input and output information indicated by the sensor information, etc. 318567 (revised edition) 16 1312069 To predict the model of the material, it is necessary to use a model that can represent the change of the material with a small time change. ·· For example, the following literature indicates that there is a predictive calculation based on the incremental method of Incremental Formulation.
Incremental Formulation for the Prediction of Micro-structural Change in Multi-pass Hot Forming ISIJ International Vol.39 (1999)、No.2、pp.171-175 Jun YANAGIMOTO and Jinshan Liu • 在材質預測模型中，係可求得各步驟之金屬材料的各 相的晶粒直徑、體積分率等。所謂各相，係指在鋼鐵中之 奥氏體（austenite)，鐵氧體（ferrite)，珠光體（pearlite)，馬 氏體（martensite)等之狀態。成為製品後，係根據上述晶粒 直徑、體積分率等，轉換為作為材質的指標之抗拉強度、 延展性等之數值，而可與實際的實驗室試驗之上述的數值 作比較。 φ 其次就材質控制功能8加以詳細說明。 在第6圖與第7圖表示材質控制之2個態樣。第6圖、 第7圖之滾軋線，係表示加熱爐20、氧化皮清理機（scale breaker)21、2 台粗軋機（R1)(R2)22、23、出口側溫度計 24、 切斷器（crop shear)25、氧化皮清理機26、7台精軋機27、 滑出台（run out table)28、1 台捲取機（windup macliine)29 之例。 第6圖係於1個滾軋材中，在上游製程，譬如在粗軋 製程以滚軋實績資訊收集功能5收集感測器資訊等，且以 17 318567(修正版） 1312069 製程資訊補足功能6利料算求取滾軋之詳細的中間資 訊，而在材質預測功能7中，計算晶粒直徑、體積分率等， 而以此作為輸人資訊，求取成為精軋機27之所欲的晶粒直 徑、體積分率等之類的目標滾軋材溫度、目標加工量等。 利用上述數值，在設定㈣料錢3巾再度計算里或施 行修正已經計算有之設定/控制的各 厂第7圖與第6圖若干不同’係使用值出口侧溫度計、板 ^十等3G將滾軋結束後之資訊，作為修正下—滾軋 材的設定控制。在第6圖與第7圖中，至少實施其中的一 以上，表示本發明第1實施例之構成，透過設為上诚 f成’於滾軋或冷料中由僅從感測衫 法判別之資訊可詳細計算滾軋材的材#，且可 預測並控制材質。而且，材 確度 二：狀龜之材質模型’且依滾軋的進行來執行，故為 up 度，而具有制滾軋後測定之材質資 二二仃材質核型之學習的材質模型學習功能。此外達成 於材質的預測扮演重要备备々制欠 匕外運成 用滾軋實崎要角色之製程資訊補足功能中，係使 型St進行包含在製程資訊補足功能的滾乾模 滾軋二=iL:型的精確度—^ 精確度，且;訊的誤差’並提升製程中間資訊的 第2實施例 ㈣制及材質控制的精確度。 第8圖係表示本發明第2實施例的滾軋線之材質預測 18 n 318567(修正版） .1312069 及材質控制裝置的方塊圖。 不論國内外，煉鋼薇係已建設多座，且有許多的 ⑽運轉中。在第！圖所示之第2實施例中，設定控制用、 計算機3、高階計錢2、滾乾實績資訊收集功能^ 分、材質檢查系統4係幾乎全部已在熱滾軋線！達成。二 外材質預測功能7之一部分、材質控制功能8之—部八亦 已達成。因此，作為熱滾乾線之控制裝置而新追加^ 訊補足功能6、利用該功能之材質預測功能7、:、 能8時，有難於在原有的計算機設備進行追加^制功 製程資訊補足功能6係因必須進行多數的計 ^又 原有的計算機設備無法執行之情況。 ’、有以 因此，在本第2實施例中， 資訊補足功能6,及利用該功能之/==係將製程 質控制功能8於與原有的計算機 ^ % ，以及材 32上來遠;，日為不同的計算機系統 上來達成且猎由達成與原有的計算機31 |可附加新的功能，或可容易進行嗖 ，而 會對操作與原有的魏造成干擾。，、功一錄’但不 由此，透過將滾軋實績資訊收集 功能在別的計算機予以達成而可附加新的b力、Γ私貝訊補足 操作與原有的功能造成干擾。 ㈣功但不會對 (產業上之運用可能性） 本發明的滾軋線之材質預測新 模擬製程的變化過程，且具備補=制裝置’係藉由 材質模型的預測精確度，並可以的功能’而可提高 卫了以同精確度地控制材質。 318567(修正版） 19 1312069 【圖式簡單說明】 預測 預測 預測 第1圖係表示本發明第1實施例的滾軋線之持柄 及材質控制裝置的整體構成方塊圖。 、 第2圖係表示本發明第1實施例的滾軋線之材質 及材質控制裝置的詳細構成方塊圖。 第3圖係表示本發明第1實施例的滾軋線之材質 及材質控制裝置的詳細構成方塊圖。 第4圖係表示本發明第1實施例的滾軋線之材質、 及材質控制裝置的詳細構成方塊圖。 、測 第5圖係表示本發明第1實施例的滾軋線之材質 及材質控制裝置的詳細構成方塊圖。 4 第6圖係表示本發明第1實施例的滾軋線之材質預則 及材質控制裝置的詳細構成方塊圖。 、、及 第7圖係表示本發明第1實施例的滾軋線之材質預測 及材質控制裝置的詳細構成方塊圖。 W' 第8圖係表示本發明第2實施例的滚軋線之材質預測 及材質控制裝置的整體構成方塊圖。 【主要元件符號說明】 1 滾軋線 高階計算機 设定控制用計算機 材質檢查系統 滾幸L貫·績資訊收集功能 製程資訊補足功能 20 318567(修正版） 1312069 7 材質預測功能 ' 8 材質控制功能 9 滾軋材 10 滾軋機台 11 水冷裝置 12 進入側溫度計 • 13 出口側溫度計 • 14 滾軋軋報 ·15 滾軋模型 16 模擬器 17 滾軋模型學習功能 18 材質模型學習功能 19 材質模型 20 加熱爐 21 氧化皮清理機 22 ' 23 粗軋機 24 出口側溫度計 25 切斷器 26 氧化皮清理機 27 精乾機 28 滑出台 29 捲取機 30 出口側溫度計、板壓計等 31 原有的計鼻機 32 另外的計算機 21 318567(修正版）Incremental Formulation for the Prediction of Micro-structural Change in Multi-pass Hot Forming ISIJ International Vol.39 (1999), No.2, pp.171-175 Jun YANAGIMOTO and Jinshan Liu • In the material prediction model, the system can be obtained The crystal grain diameter, volume fraction, and the like of each phase of the metal material in each step. The term "phase" refers to the state of austenite, ferrite, pearlite, martensite, etc. in steel. After the product is formed, it is converted into a numerical value such as tensile strength and ductility as an index of the material according to the above-mentioned crystal grain diameter, volume fraction, and the like, and can be compared with the above numerical values in actual laboratory tests. φ Next, the material control function 8 will be described in detail. Fig. 6 and Fig. 7 show two aspects of material control. The rolling line of Fig. 6 and Fig. 7 shows the heating furnace 20, the scale breaker 21, the two roughing mills (R1) (R2) 22, 23, the outlet side thermometer 24, and the cutter. (crop shear) 25. An example of a scale cleaning machine 26, a 7-stage finishing mill 27, a run out table 28, and a windup macliine 29. Figure 6 is a line of rolled material, in the upstream process, such as in the rough rolling process to collect the performance information collection function 5 to collect sensor information, etc., and to 17 318567 (revision) 1312069 process information to complement the function 6 The material calculation calculates the detailed intermediate information of the rolling, and in the material prediction function 7, the crystal grain diameter, the volume fraction, and the like are calculated, and as the input information, the desired crystal which becomes the finishing mill 27 is obtained. Target rolling material temperature such as particle diameter, volume fraction, etc., target processing amount, and the like. Using the above values, in the re-calculation of setting (4) the amount of money 3 towels or the corrections have been calculated, the 7th and 6th drawings of the plants that have been calculated/controlled have different 'system use value exit side thermometer, board ^10, etc. 3G will The information after the end of rolling is used as a correction control setting for the rolled material. In the sixth and seventh figures, at least one or more of them are shown, and the configuration of the first embodiment of the present invention is determined by the fact that the transmission is made in the rolling or cold material by the sensing shirt method alone. The information can be used to calculate the material # of the rolled material in detail, and predict and control the material. In addition, the material accuracy is two: the material model of the turtle is executed according to the rolling process, so it is the up degree, and the material model learning function of the material of the material type after the rolling is determined. In addition, the prediction of the material played an important role in the preparation of the system. The function of the process is to fill the function of the process. iL: Accuracy of the type—^ Accuracy, and the error of the signal' and the accuracy of the second embodiment (4) and material control of the intermediate information of the process. Fig. 8 is a block diagram showing the material prediction of the rolling line of the second embodiment of the present invention 18 n 318567 (revision). 1312069 and the material control device. No matter at home or abroad, there are many buildings in the steelmaking system, and there are many (10) in operation. In the first! In the second embodiment shown in the figure, the setting control, the computer 3, the high-order money 2, the spin-drying performance information collecting function, and the material inspection system 4 are almost all in the hot rolling line! Achieved. The second part of the material prediction function 7 and the material control function 8 are also completed. Therefore, as a control device for the hot-rolling line, a new compensation function 6 is added, and the material prediction function 7 using the function is used. When the energy is 8 or not, it is difficult to add the additional power-making process information complement function to the original computer device. This is because it is necessary to perform most of the calculations and the original computer equipment cannot be executed. Therefore, in the second embodiment, the information complement function 6, and the /== system using the function, the process quality control function 8 is far from the original computer ^%, and the material 32; The day is reached for different computer systems and the hunting can be achieved with the original computer 31 | new functions can be added, or can be easily carried out, and the operation will interfere with the original Wei. However, this is not the case. By adding the rolling performance information collection function to other computers, it is possible to add new b-forces and private operations to compensate for the interference with the original functions. (4) Work but not right (industrial application possibility) The material of the rolling line of the present invention predicts the change process of the new simulation process, and has the compensation system's prediction accuracy by the material model, and The function 'can be improved to control the material with the same precision. 318 567 (Revised Edition) 19 1312069 [Brief Description of the Drawings] Prediction Prediction Prediction Fig. 1 is a block diagram showing the overall configuration of the handle of the rolling line and the material control device according to the first embodiment of the present invention. Fig. 2 is a block diagram showing the detailed construction of the material and material control device for the rolling line according to the first embodiment of the present invention. Fig. 3 is a block diagram showing the detailed construction of the material and material control device for the rolling line according to the first embodiment of the present invention. Fig. 4 is a block diagram showing the detailed construction of the material of the rolling line and the material control device according to the first embodiment of the present invention. Fig. 5 is a block diagram showing a detailed configuration of a material and a material control device for a rolling line according to a first embodiment of the present invention. 4 is a block diagram showing a detailed configuration of a material specification and a material control device for a rolling line according to a first embodiment of the present invention. And Fig. 7 is a block diagram showing the detailed construction of the material prediction and material control device for the rolling line according to the first embodiment of the present invention. W' Fig. 8 is a block diagram showing the overall structure of the material prediction and material control device for the rolling line according to the second embodiment of the present invention. [Description of main component symbols] 1 Rolling line high-end computer setting control computer material inspection system Rolling L. Performance information collection function Process information complement function 20 318567 (revision) 1312069 7 Material prediction function ' 8 Material control function 9 Rolled material 10 Rolling mill 11 Water cooling unit 12 Entry side thermometer • 13 Outlet side thermometer • 14 Rolling and rolling report · 15 Rolling model 16 Simulator 17 Rolling model learning function 18 Material model learning function 19 Material model 20 Heating furnace 21 Oxidation Cleaner 22 ' 23 Roughing Mill 24 Outlet Side Thermometer 25 Cutter 26 Oxidation Cleaner 27 Slim Machine 28 Sliding Table 29 Coiler 30 Exit Side Thermometer, Plate Pressure Gauge, etc. 31 Original Nose Machine 32 Additional Computer 21 318567 (Revised Edition)