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Process measurements dynamics

Process measurement dynamics indicate how quickly the sensor responds to changes in the valne of the measnred variable. [Pg.1192]

Dynamic Measurements. Dynamic methods are requited for investigating the response of a material to rapid processes, studying fluids, or examining a soHd as it passes through a transition region. Such techniques impart cycHc motion to a specimen and measure the resultant response. [Pg.196]

Dynamics of Process Measurements Especially where the measurement device is incorporated into a closed loop control configuration, dynamics are important. The dynamic characteristics depend on the nature of the measurement device, and also on the nature of components associated with the measurement device (for example, thermowells and sample conditioning equipment). The term mea-.sui ement system designates the measurement device and its associated components. [Pg.758]

The structure/property relationships in materials subjected to shock-wave deformation is physically very difficult to conduct and complex to interpret due to the dynamic nature of the shock process and the very short time of the test. Due to these imposed constraints, most real-time shock-process measurements are limited to studying the interactions of the transmitted waves arrival at the free surface. To augment these in situ wave-profile measurements, shock-recovery techniques were developed in the late 1950s to assess experimentally the residual effects of shock-wave compression on materials. The object of soft-recovery experiments is to examine the terminal structure/property relationships of a material that has been subjected to a known uniaxial shock history, then returned to an ambient pressure... [Pg.192]

Models may be used in training and education. Many important aspects of reactor operation can be simulated by the use of simple models. These include process start-up and shut down, feeding strategies, measurement dynamics, heat effects and control. Such effects are easily demonstrated by computer, as shown in the accompanying simulation examples, but are often difficult and expensive to demonstrate in practice. [Pg.6]

Many of the electrochemical techniques described in this book fulfill all of these criteria. By using an external potential to drive a charge transfer process (electron or ion transfer), mass transport (typically by diffusion) is well-defined and calculable, and the current provides a direct measurement of the interfacial reaction rate [8]. However, there is a whole class of spontaneous reactions, which do not involve net interfacial charge transfer, where these criteria are more difficult to implement. For this type of process, hydro-dynamic techniques become important, where mass transport is controlled by convection as well as diffusion. [Pg.333]

Several significant challenges exist in applying data analysis and interpretation techniques to industrial situations. These challenges include (1) the scale (amount of input data) and scope (number of interpretations) of the problem, (2) the scarcity of abnormal situation exemplars, (3) uncertainty in process measurements, (4) uncertainty in process discriminants, and (5) the dynamic nature of process conditions. [Pg.7]

Rectification of Process Measurement Data in Dynamic Situations... [Pg.12]

RECTIFICATION OF PROCESS MEASUREMENT DATA IN DYNAMIC SITUATIONS... [Pg.156]

In theory, derivative action should always improve dynamic response, and it does in many loops. In others, however, the problem of noisy signals (fluctuating process-measurement signals) maJces the use of derivative action undesirable. [Pg.226]

To realize that the rate-limiting process during dynamic measurement is usually mass transport of analyte to the electrode solution interface. [Pg.12]

In conventional expert systems, the facts and knowledge upon which the inference is based are static. In the industrial application, the facts or process measurements are dynamic. In an industrial application there may be several thousand measurements and alarms which may significantly change in value or status in a few minutes. [Pg.69]

Lee, W.J., Seferis, J.C. and Berg, J.C. (1988). Characterizing high performance composite processability with dynamic fiber wettability measurements. Polym. Composites 9, 36-41. [Pg.40]

Experimental Analysis. The most reliable process measurement is the oscillator frequency from the PAAR densitometer. Along with the frequency, the temperature is also measured ( 0.05 C). These two states are used to interpolate the solute concentration. CSD weight percent information and obscuration measurements were obtained from the Malvern Particle Sizer. Approximately 500 concentration data points and 200 CSD and obscuration measurements were recorded during a run of about 80 -100 minutes. Therefore, the dynamics of the system were well monitored, i.e., the time constant of the crystallizer is much larger than the sampling time. We have performed 25 experimental runs. This section summarizes the analysis of a single, typical experiment. [Pg.108]

Dynamic mechanical analysers, as discussed in chapter 9, can be constructed so that they can be used with unvulcanised materials and, hence, the in phase and out of phase components of modulus and the loss angle measured. The usual test piece geometries for cured rubbers are not convenient for the uncured materials where some form of oscillating shear is probably the best approach. This is the geometry used in cure meters discussed in the next section and such instruments have formed the basis for apparatus which measures dynamic properties from before and through the curing process. [Pg.79]

An estimator (or more specifically an optimal state estimator ) in this usage is an algorithm for obtaining approximate values of process variables which cannot be directly measured. It does this by using knowledge of the system and measurement dynamics, assumed statistics of measurement noise, and initial condition information to deduce a minimum error state estimate. The basic algorithm is usually some version of the Kalman filter.14 In extremely simple terms, a stochastic process model is compared to known process measurements, the difference is minimized in a least-squares sense, and then the model values are used for unmeasurable quantities. Estimators have been tested on a variety of processes, including mycelial fermentation and fed-batch penicillin production,13 and baker s yeast fermentation.15 The... [Pg.661]

Hurley and her collaborators have studied the perosis (faulty tendons) induced by both Mn and Zn deficiencies (17-19). Previous workers have described skeletal abnormalities in chicks and rats including disproportionate growth of skeleton, bone rarefaction and chondrodystrophy, as overt manifestation of zinc deficiency (20,21). Hurley e t al., were able to demonstrate that the metabolic lesion produced by Mn was quite different from that produced by the absence of Zn. In the case of Mn there was no alteration in the mineralization processes measured by the dynamics of radiocalcium movement. The influence of trace elements on in vitro tissue cultures of chick osteoblasts has been reported (22). Among the elements required were Fe, Cu, Zn and Mn. [Pg.47]

Computerized real-time measurements and analysis of the coefficient of friction, contact high-frequency acoustic emission, and pad wear allow the effective evaluation of consumables, understanding of tribological interactions at the polishing interface, process development, dynamic characterization of the polishing process, including rate and nonuniformity of material removal, and so on. The application of tribometrology not only is restricted to research and development departments but also proves very useful in the device production facilities. [Pg.118]


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