退火作業線 的英文怎麼說
中文拼音 [tuìhuǒzuòyèxiàn]
退火作業線
英文
annealing line- 退 : 動詞1 （向後移動） retreat; draw back; move back 2 （使向後移動） cause to move back; remove; wit...
- 火 : fire
- 業 : Ⅰ名詞1 （行業） line of business; trade; industry 2 （職業） occupation; profession; employment; ...
- 線 : 名詞1 （用絲、棉、金屬等製成的細長的東西） thread; string; wire 2 [數學] （一個點任意移動所構成的...
- 退火 : [冶金學] anneal; annealing; back-out
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Responding to the call of industrial policy adjustment in our country, yaoyu special steel company has started replacing hot - rolling with cold - rolling in the production of electric steel since 2003. it entrusted xinye gaoke group to make design and build the production line of cold - rolled electric steel with annual output of 200 thousand tons. after three years of construction, it has achieved the successful trial production of 20 - roll mill and continuous annealing and coating machine imported from germany
耀宇特鋼從2003年開始，響應國家產業政策調整的號召，開始電工鋼以冷代熱技改工程，委託新冶高科集團原冶金部鋼研院設計，進行年產20萬噸冷軋電工鋼生產線的建設，經過近三年的建設，目前從德國引進的20輥軋機及連續退火塗層機組均已試產成功，為提高產品的性能和質量，同時提升我國電工用薄鋼板的生產作出了卓越的貢獻。Based on polymerization reaction of the nylon - 6 rubberized cord fabric production of distributed control system in yangzhou organic chemical plant computer integrated manufacturing system ( yh - cims / dcs ), the multiple stepwise regression method was used to build the statistic mathematical models of the molecule weight and the monomer quantum of casting slice belt. then the optimization model of polymerization reaction was presented, which was solved by using simulation annealing algorithm to obtain the best techniques parameters. the improved hybrid genetic algorithm and back propagation algorithm are combined to train neural network, brought out the neural network prediction model of casting slice belt ' s average molecule weight to guide the technologist on - line
提出了流程工業生產過程操作優化策略和應用實施方法，包括生產過程離線優化策略、非線性問題求解策略、在線優化模型及學習策略；結合揚州有機化工廠計算機集成製造系統集散控制系統（ yh - cims dcs ）的實施，針對錦綸? 6浸膠南京理工大學博士學位論文摘要簾于布生產中己內酚胺聚合反應過程優化控制這一工程實際問題，採用統計建模方法，建立了聚合反應過程的優化模型；為求解所得的優化模型，提出了種改進的有約束條件下的模擬退火演算法，該演算法能避免陷於局部最優解，有效地提高了所求解的全局性和可靠性：提出了基於改進的ga演算法和sp演算法相結合的混合學習演算法，建立了基於神經網路的聚合反應過程生產目標在線預測模型，該演算法和模型滿足了生產中的實時性和實用性要求。
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