Processes control objectives

An even greater pitfall into which many young process control engineers fall, particularly in recent years, is to get so involved in the fancy computer control hardware that is now available that they lose sight of the process control objectives. All the beautifiil CRT displays and the blue smoke and mirrors that computer control salespersons are notorious for using to sell hardware and software can easily seduce the unsuspecting control engineer. Keep in mind your main objective to come up with an effective control system. How you implement it, in a sophisticated computer or in simple pneumatic instruments, is of much less importance. 

The objective ia any analytical procedure is to determine the composition of the sample (speciation) and the amounts of different species present (quantification). Spectroscopic techniques can both identify and quantify ia a single measurement. A wide range of compounds can be detected with high specificity, even ia multicomponent mixtures. Many spectroscopic methods are noninvasive, involving no sample collection, pretreatment, or contamination (see Nondestructive evaluation). Because only optical access to the sample is needed, instmments can be remotely situated for environmental and process monitoring (see Analytical METHODS Process control). Spectroscopy provides rapid real-time results, and is easily adaptable to continuous long-term monitoring. Spectra also carry information on sample conditions such as temperature and pressure. 

Although microprocessor-based process controls enhance plant safety, their primaiy objective is efficient process operation. Manual... 

By attempting to maintain process conditions at or near their design values, the process controls so attempt to prevent abnormal conditions from developing within the process. Although process controls can be viewed as a protective layer, this is really a by-product and not the primaiy func tion. Where the objective of a function is specifically to reduce risk, the implementation is normally not within the process controls. Instead, the implementation is within a separate system specifically provided to reduce risk. This system is generally referred to as the safety interlock system. 

The object of a process control system is to make economic and sound decisions about the actions affecting the process. Data concerning the variations in process performance are collected and analyzed and decisions taken as to whether action on the process is or is not necessary to maintain production of conforming product (see Figure 9.1). However, process control and process capability are not one and the same, as illustrated in Figure 9.5. 

Crystallization process control is desirable from a number of standpoints. The primary objective is often to meet customer requirements by achieving consistent product quality to a desired specification of crystal size, size distribution and purity. Secondly, process requirements often dictate maintenance of stable crystallizer operation, the avoidance of fines and encrustation, and the minimization of subsequent downstream processing. 

Accountability Objectives and Goals Continuity of operations Continuity of systems (resources and funding) Continuity of organizations Company expectations (vision or master plan) Quality process Control of exceptions... 

The purpose for which the analytical data are required may perhaps be related to process control and quality control. In such circumstances the objective is checking that raw materials and finished products conform to specification, and it may also be concerned with monitoring various stages in a manufacturing process. For this kind of determination methods must be employed which are quick and which can be readily adapted for routine work in this area instrumental methods have an important role to play, and in certain cases may lend themselves to automation. On the other hand, the problem may be one which requires detailed consideration and which may be regarded as being more in the nature of a research topic. 

In this study the problem of estimating an unknown function from its examples is revisited. Its mathematical description is attempted to map as closely as possible the practical problem that the potential NN user has to face. The objective of the chapter is twofold (1) to draw the framework in which NN solutions to the problem can be developed and studied, and (2) to show how careful considerations on the fundamental issues naturally lead to the Wave-Net solution. The analysis will not only attempt to justify the development of the Wave-Net, but will also refine its operational characteristics. The motivation for studying the functional estimation problem is the derivation of a modeling framework suitable for process control. The applicability of the derived solution, however, is not limited to control implementations. 

Scheme 1 Illustration of the general synthetic method followed in our group for the synthesis of metal nanoparticles i decomposition of the precimsor, nucleation ii first growth process in ripening or coalescence leading to size and shape controlled objects through addition of stabilizers which prevent the full precipitation of the metal (iv)...

Solid samples can also be measured in transmission, although reflection or transflection measurements are more common. Open arrangements with the source on one side of the sample and the spectral analyser on the other side are prevalently used, e.g. in industrial process control. For absolute quantitative analysis the thickness of the object must either be constant or be measured. 

The stated objective of this report was to present sufficient data about aromatic carbenes to permit the forecast of their properties directly and reliably from their structures. This has been accomplished to a reasonable degree. Coupling of the theoretical framework with the experimental measurements allows confident prediction of the outcome of many chemical reactions. The rates of the important processes controlling aromatic carbene behavior can be estimated, and thus even yields can be forecast in many... 

Accountability Objectives and Goals—This element encompasses continuity of operations, continuity of systems (resources and funding), continuity of organizations, company expectations (vision and master plan), the quality process, control of expectations, alternative methods, management accessibility, and communications. 

As was mentioned in the introduction to this chapter "diffusion-controlled dissolution" may occur because a thin layer either in the liquid film surrounding the mineral or on the surface of the solid phase (that is depleted in certain cations) limits transport as a consequence of this, the dissolution reaction becomes incongruent (i.e., the constituents released are characterized by stoichiometric relations different from those of the mineral. The objective of this section is to illustrate briefly, that even if the dissolution reaction of a mineral is initially incongruent, it is often a surface reaction which will eventually control the overall dissolution rate of this mineral. This has been shown by Chou and Wollast (1984). On the basis of these arguments we may conclude that in natural environments, the steady-state surface-controlled dissolution step is the main process controlling the weathering of most oxides and silicates. 

This chapter is an introduction to process dynamics and control for those students who have had little or no contact or experience with real chemical engineering processes. The objective is to illustrate where process control fits into the picture and to indicate its relative importance in the operation, design, and development of a chemical engineering plant. 

From the above, it is immediately obvious that the main control objective when dealing with AD processes is stability, normally as measured by biogas production rate, effluent soluble COD or VFA concentrations. Therefore, the proposal of control schemes that guarantee the process stability by regulating the effluent soluble COD and VFA is of no doubt. In the next sections, the... 

As was pointed out in previous sections, the main control objective in AD processes is related to guarantee the stable operation of the process, which is also called operational stability [14]. The variables frequently used to monitoring the digester-stability are the biogas production rate and the COD, VFA and alkalinity effluent concentrations. Particularly, VFA are one of the most important intermediaries in the AD process, because their accumulation (generally induced by organic and toxic overloads) may lead to process failure due to the pH-drop they induce and their inhibitory effects in acid form [14, 27]. Thus, the importance of design efficient control systems capable to... 

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