annealing cycle 中文意思是什麼
annealing cycle
解釋
退火周期-
Besides, scan rate and cycle period also affect the result ; co - deposition of dualistic oxide is a focus of research, as an element in the same group, ir is selected. deposition rate of composition is decreased by the adding of ir composition, and when the proportion of ir exceeded 50 %, composition procession can be ceased. but cooperation of ir and ru oxide can highly increase the specific capacitance of active material ; annealing treatment under a certain temperature can help to change the hydrate ru composition into mixture state ru oxide, accordingly increase the stabilization of active material
研究表明:電解液的配製過程中，氯化釕濃度、溶液ph值、陳化時間、溶液溫度對電鍍效果均有影響，其中溶液ph值是最主要的影響因素;在儀器的使用條件探索中，理論結合實驗確定了本電鍍液體系循環伏安電勢窗的理想范圍，並發現循環伏安掃描速度和掃描周期對電鍍結果也有較大影響;混合氧化物的共沉澱是目前研究熱點，在此選用與釕同一族的銥作為共沉澱元素，銥的加入會阻礙氧化物的沉積速度，銥的比例超過50 %會使沉積作用停止，但是二元氧化物的協同作用使沉積的活性物質比容量大大提高;一定溫度下退火后處理作用會使水合釕化物轉變成混合價態的氧化釕，從而提高活性物質的穩定性。 -
The results indicate that the best annealing temperature is 1100 for 2h. a conclusion has been drawn that when the mol percent of iron is 60 %, the productions of powders and cycle samples have the best magnetic properties
通過對shs粉末樣品和磁環的磁性能測試發現：當反應產物中fe的摩爾分數為0 . 6時，粉末樣品粒徑大小均勻，產物具有較高的比飽和磁化強度和低的矯頑力。 -
Optimum ductility is obtained with a ferritic matrix, therefore, all nibco ' s ductile iron pressure containing parts are treated with a ferritizing annealing cycle
通過鐵素體基體可獲得最佳的展延性，因此，所有美國尼伯科球墨鑄鐵的壓力負載部件都經過鐵素體化退火周期的工藝處理。 -
Zny, ni ( 1 - y ) fe2o4 and cobalt substituted ni - zn soft ferrite powders of zn0. 4ni ( 0. 6 - a ) coa fe2o4 are synthesized by shs. the shs powders and cycle samples are annealing in 1100 for 2h. their magnetic, and micro structural properties are studied using xrd, vsm and sem techniques. the studies reveal that the value of hc mr and ms of the powder of zn yni ( 1 - y ) fe2o4 are maximal when the value of y is 0. 4
研究發現：隨著zno含量（ y值）的增加，粉末產物的矯頑力（ hc ） 、飽和磁矩（ ms ）以及剩餘磁矩（ mr ）先增大（在y = 0 . 4時取得最大值）然後再下降；磁環表面顆粒逐漸長大，孔隙率減少，密度增加；磁環的bs與br先增大再減小，在y = 0 . 4時達到最大；磁環的矯頑力hc是遞減的。 -
In view of evolutionary computation in artificial intelligence, the author gives a scheme to solve the course scheduling problem using evolutionary simulated annealing algorithm, and discusses variable problems of the scheme such as target function and initial solution, the method to generate neighboring area and new solution, initial " temperature " selection and the formulation to produce new " temperature ", inner cycle number and determinal condition solution, some technical problems in college course arrangement are discussed. the algorithm has carried on the achievements in windows 2000 operating system
作者從人工智慧中進化計算的角度，給出一種使用進化模擬退火演算法求解課表問題的方案，詳細討論了該方案涉及的各種問題，包括目標函數和初解的確定，臨域和新解的產生方法，初始「溫度」的確定和「溫度」更新的方式，內循環次數及演算法終止條件的確定等，對一些具體的技術問題作出相應安排。
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