计算机与应用化学
計算機與應用化學
계산궤여응용화학
COMPUTERS AND APPLIED CHEMISTRY
2013年
3期
281-285
,共5页
杨景明%许爽%赵新秋%车海军
楊景明%許爽%趙新鞦%車海軍
양경명%허상%조신추%차해군
铝热连轧%轧制力模型%变形抗力%最小二乘法%人工鱼群算法
鋁熱連軋%軋製力模型%變形抗力%最小二乘法%人工魚群算法
려열련알%알제력모형%변형항력%최소이승법%인공어군산법
aluminum hot tandem rolling%rolling force model%deformation stress%least square method artificial fish swarm algorithm
变形抗力是轧制力模型预测的重要参数,其模型的精确度直接影响轧制力的预报精度。为了得到更为精确的变形抗力数学模型,文中以据河南某铝热连轧厂1+4连轧精轧机组为研究对象,根据大量现场实测稳定段数据,应用轧制理论反推得到变形抗力回归所用数据后,将模型线性化再应用最小二乘法对1050系铝合金变形抗力进行了线性回归,得到初始参数后运用改进鱼群算法对影响变形抗力的参数进行了优化,仿真结果表明用改进鱼群算法优化出的参数得到的变形抗力模型比用最小二乘法回归出的变形抗力模型应用于轧制力预报的误差更小,所以,在进行轧制力预报时选择改进鱼群算法优化后的变形抗力模型。精确的轧制模型是轧制过程中的轧制预报的关键,对于指导生产,提高产品质量有着重要的实践意义。
變形抗力是軋製力模型預測的重要參數,其模型的精確度直接影響軋製力的預報精度。為瞭得到更為精確的變形抗力數學模型,文中以據河南某鋁熱連軋廠1+4連軋精軋機組為研究對象,根據大量現場實測穩定段數據,應用軋製理論反推得到變形抗力迴歸所用數據後,將模型線性化再應用最小二乘法對1050繫鋁閤金變形抗力進行瞭線性迴歸,得到初始參數後運用改進魚群算法對影響變形抗力的參數進行瞭優化,倣真結果錶明用改進魚群算法優化齣的參數得到的變形抗力模型比用最小二乘法迴歸齣的變形抗力模型應用于軋製力預報的誤差更小,所以,在進行軋製力預報時選擇改進魚群算法優化後的變形抗力模型。精確的軋製模型是軋製過程中的軋製預報的關鍵,對于指導生產,提高產品質量有著重要的實踐意義。
변형항력시알제력모형예측적중요삼수,기모형적정학도직접영향알제력적예보정도。위료득도경위정학적변형항력수학모형,문중이거하남모려열련알엄1+4련알정알궤조위연구대상,근거대량현장실측은정단수거,응용알제이론반추득도변형항력회귀소용수거후,장모형선성화재응용최소이승법대1050계려합금변형항력진행료선성회귀,득도초시삼수후운용개진어군산법대영향변형항력적삼수진행료우화,방진결과표명용개진어군산법우화출적삼수득도적변형항력모형비용최소이승법회귀출적변형항력모형응용우알제력예보적오차경소,소이,재진행알제력예보시선택개진어군산법우화후적변형항력모형。정학적알제모형시알제과정중적알제예보적관건,대우지도생산,제고산품질량유착중요적실천의의。
The deformation stress is an important parameter during the process of rolling force model prediction. The accuracy of the model directly influences the rolling schedule. In order to get a more accurate model of deformation stress, the paper took one factory of aluminum hot1+4 finishing rolling in Henan as the investigation objective. According to lots of actual measured data, the data which model of deformation stress is needed were calculated by use of rolling theory, the stress model equation can be linearized and then the least square method was applied to the linear regression of deformation stress model of alloy 1050. The initial parameters were got and then use improved artificial fish swarm algorithm to optimize the influencing parameters of the model. The results show that the mode using improved artificial fish swarm algorithm has the better error term than the least square method. Precise rolling model is one of the most important factor in the process of rolling forecast, it has important practical significance to guide the production, improve the quality of products.