測熱滯后 的英文怎麼說
中文拼音 [cèrèzhìhòu]
測熱滯后
英文
thermometric lag-
Observation of the on - off sequencing of characteristic spectral lines from tracer materials arranged in layers in, or surface patterns on, planar or spherical targets can provide a record of radial or lateral energy transport processes in laser - generated plasmas
測量激光聚變靶產生的軟x射線時間變化連續譜的形狀，可以知道許多x射線產生過程的詳細動態記錄，這有助於理解實驗的熱學條件。觀察軌跡特徵譜線的閉合序列，能提供關于激光等離子體激發能量和滯后能量的傳輸過程記錄。Performance for a piezoresistive transducer pressure sensor to thermal and pressure environments can be predicted by finite element method. a simplified 1 / 8 model, considering silicon dioxide and nitride process as well as stack anodic bonding and adhesive bonding processes, was developed. the fem results were found to be comparable to experimental data. case studies suggested that pyrex stack induces certain amount of non - linearity, while it isolates hard epoxy nonlinear effect. flexible epoxy bonding or soft adhesive bonding is preferred to the packaging process. the viscoelasticity and viscoplasticity of bonding material will result in hysteresis and drift errors to sensor output. however, soft adhesive s influence on sensor can be ignored under relative stable environments. more over, detailed design and process information will help to improve modeling application
熱、壓環境下壓阻變換壓力傳感器的性能可以通過有限元方法預測.這里研究了簡化的1 / 8模型，模型考慮了二氧化硅和氮化硅生成過程及堆陽極鍵合和膠粘結合過程.結果發現有限元預測結果和實驗數據具有可比性.範例研究表明，硼硅堆導致產生一定的非線性，但它隔離了硬環氧樹脂的非線性.在包裝過程中最好使用柔性環氧黏合或軟黏膠性結合.黏合材料的黏彈性和黏塑性將會導致傳感器輸出的滯后和漂移誤差.然而，在相對穩定的環境下，軟黏合劑對傳感器的影響可以忽略.此外，詳細的設計和過程信息有助於提高模型的適用性There are many plants that have the character of time - varying, large delay, large inertia in the process of production of modern power station such as the superheated steam temperature, the reheated steam temperature, the water treatment of boiler and the load regulation. some of them have the strong character of nonlinear and some of them are multivariable coupling systems it is very difficult to obtain good effect of control by conventional pid control. it is necessary to set up the mathematics models of controlled plants if applying control means of modern control theory such as self - adaptive control, optimal control ， decoupling control and predictive control. and these control systems have large calculation and bad character of real time in general. these disadvantages make them be not able to meet the need of real production process and limit the application of them in modern power station. now the generator units are developing towards large capacity and high parameters. many new kinds of generating electricity means are coming into being. the characers of production units of power station become more and more complex but the demand to quality of control becomes more and more strict. the new control means are in bad need to control them effectively
現代電站的生產過程中存在過熱汽溫、再熱汽溫、鍋爐水處理、負荷調節等許多大遲延、大滯后、特性時變的對象，它們中有些還是具有強非線性特性的對象或多變量耦合系統，採用常規的pid控制手段很難取得良好的控制效果。若應用現代控制理論中的自適應控制、最優控制、解耦控制、預測控制等控制手段，則需要建立被控對象的數學模型，而且往往控制系統的計算量大、實時性差。這些缺點使其很難滿足實際生產過程的需要從而極大地限制了其在現代電站中的應用。The phaseshifts from deformation of reflector are discussed. deformation of one reflector is measured. however, by using the lag of thermal deformation, the aberrations of wavefront are detected in actual optical train, which are compared with the results of calculation
討論了傳輸過程中反射鏡的熱變形產生的附加相移，實驗測量了單個反射鏡的鏡面變形，利用熱變形滯后性，測量了實際光路引起的探測光波陣面畸變，並與計算結果進行比較。Based on the heating treatment control system of a spring steel - wire production line in a factory, hubei province, the paper deals with the design of fully automatically monitoring system across its manufacturing process. through research of parameters of temperature control during the period of heating, annealing and tempering in steel wire manufacturing process, the corresponding composite intelligence fuzzy controller is designed. in light with the way of fast heating, a composite intelligent fuzzy controller combined with on - off control & pi control is set up
本文以湖北某鋼絲繩廠彈簧鋼絲熱處理生產線控制系統為依託，論述了整個生產過程的監控系統的設計，通過對該類鋼絲生產中的快速加熱過程、退火、回火等過程中的溫度控制參數的研究，設計了相應的智能型復合模糊控制器，根據快速加熱過程的實現方式，對于快速反應的被控對象，給出了以模糊控制為基礎的結合開關控制、 pi控制的快速升溫，且不超調的一種智能型復合模糊控制器，對于退火、回火等工藝過程，採用電加熱方式，該類工藝過程作為控制對象屬于具有純滯后的大慣性系統，作者設計出模型預測自適應模糊控制器，並對所設計的控制器進行計算機模擬實驗，取得了滿意的效果。分享友人