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The reactive precipitation process of procaine benzylpenicillin is reviewed, while suchsecondary processes as ageing, agglomeration, breakage, and the effects of operationparameters oncrystal size a...
A simple extension of cubic equations of state (EOS) to polymer systems has been proposed. The So-ave-Redlich-Kwong (SRK) EOS was taken as a prototype to be used to describe the PVT behavior of polym...
The lumped time distribution functions were proposed, which can be used for describing the dynamicsystems with two or more than two states of the end of growing polymer chain during chain addition p...
Multivariate statistical process monitoring and control (MSPM&C) methods for chemical process monitoring with statistical projection techniques such as principal component analysis (PCA) and partial l...
Most studies on investment evaluation mainly focus on enterprise economic benefits only, without process operability and sustainability considered. In this paper, we suggest that investment evaluation...
It is believed that whether the instantaneous objective function curves of plug-flow- reactor (PFR) andcontinuous-stirred-tank-reactor (CSTR) overlap or not, they have a consistent changing trend for...
Blending is an important unit operation in process industry. Blending scheduling is nonlinear optimization problem with constraints. It is difficult to obtain optimum solution by other general optimiz...
A type of wavelet neural network, in which the scale function is adopted only, is proposed in this paper for non-linear dynamic process modelling. Its network size is decreased significantly and the...
In this contribution we present an online scheduling algorithm for a real world multiproduct batch plant.The overall mixed integer nonlinear programming (MINLP) problem is hierarchically structured ...
Fe nanowire arrays are prepared by electrodeposition in porous anodic aluminum oxide template from a composite electrolyte solution. These nanowires have an uniform diameter of approximate 25 nm and...
Steady-state non-dominated sorting genetic algorithm (SNSGA), a new form of multi-objective genetic algorithm, is implemented by combining the steady-state idea in steady-state genetic algorithms (S...
Multirate multivariable predictive control system with the sampling mechanism that adjusts the plant inputs only once but detects the plant outputs several times during a period is examined. The IMC...
Proportion integral differential generalized predictive control(PID-GPC), a new type of generalizedpredictive control(GPC) is introduced, and its quality is analyzed with internal model control (IMC...
A splicing system based genetic algorithm is proposed to optimize dynamical radial basis function (RBF) neural network, which is used to extract valuable process information from input output data. Th...
This study describes a classification methodology based on support vector machines (SVMs), which offer superior classification performance for fault diagnosis in chemical process engineering. The meth...

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