重庆理工大学学报:自然科学
重慶理工大學學報:自然科學
중경리공대학학보:자연과학
Journal of Chongqing Institute of Technology
2012年
1期
30-35
,共6页
层流冷却%传热模型%泛函变分%热物性参数
層流冷卻%傳熱模型%汎函變分%熱物性參數
층류냉각%전열모형%범함변분%열물성삼수
laminar cooling%heat transfer model%functional variation%thermo material properties
分析板材在层冷过程中的传热,建立以热辐射和冷却水对流换热方程为边界条件的偏微分热传导模型,并基于泛函变分原理进行离散求解,获得各离散时间节点上的温度。为进一步提高该温度模型计算精度,在宝钢Gleeble热模拟实验机上测定3种碳钢样本的密度、比热容和热导率等热物性参数随温度变化的函数关系,采用最小二乘法建立回归模型,线性插值后用于温度场定量计算。此外,采用层冷实测温度反算和优化水冷、空冷换热系数,以满足模型现场长期应用的稳定性要求。结果表明,改造后层冷温度设定系统的精度能较准确地反映板材在层冷过程的温度变化,温度模型计算值与实测值吻合良好。
分析闆材在層冷過程中的傳熱,建立以熱輻射和冷卻水對流換熱方程為邊界條件的偏微分熱傳導模型,併基于汎函變分原理進行離散求解,穫得各離散時間節點上的溫度。為進一步提高該溫度模型計算精度,在寶鋼Gleeble熱模擬實驗機上測定3種碳鋼樣本的密度、比熱容和熱導率等熱物性參數隨溫度變化的函數關繫,採用最小二乘法建立迴歸模型,線性插值後用于溫度場定量計算。此外,採用層冷實測溫度反算和優化水冷、空冷換熱繫數,以滿足模型現場長期應用的穩定性要求。結果錶明,改造後層冷溫度設定繫統的精度能較準確地反映闆材在層冷過程的溫度變化,溫度模型計算值與實測值吻閤良好。
분석판재재층랭과정중적전열,건립이열복사화냉각수대류환열방정위변계조건적편미분열전도모형,병기우범함변분원리진행리산구해,획득각리산시간절점상적온도。위진일보제고해온도모형계산정도,재보강Gleeble열모의실험궤상측정3충탄강양본적밀도、비열용화열도솔등열물성삼수수온도변화적함수관계,채용최소이승법건립회귀모형,선성삽치후용우온도장정량계산。차외,채용층랭실측온도반산화우화수랭、공랭환열계수,이만족모형현장장기응용적은정성요구。결과표명,개조후층랭온도설정계통적정도능교준학지반영판재재층랭과정적온도변화,온도모형계산치여실측치문합량호。
The heat transfer of steels in laminar cooling process of hot strip mill was analyzed and partial differential models were proposed with boundary conditions of thermal radiation and cooling water convective equations.Based on the functional variation principle,the models were solved and node temperature on discrete time was obtained.To further enhance the temperature model calculation precision,thermal material properties including density,specific heat capacity and thermal conductivity were experimentally measured in Baosteel Gleeble thermal simulation equipment for three different carbon steels and the method of least squares was used to statistically derive regression models for the properties.Furthermore,the heat transfer coefficients of water and air cooling were reversely calculated and optimized based on actual measured temperature to meet the long-term stability of the application of the models.The numerical simulation and experimental results show that the setup accuracy of temperature prediction system of ROT was effectively improved.