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pro vyhledávání: '"Alan W. Mahoney"'
Autor:
Alan W. Mahoney, Jitendra Kumar, Doraiswami Ramkrishna, Mehakpreet Singh, Jayanta Chakraborty
Publikováno v:
Industrial & Engineering Chemistry Research. 54:10530-10538
The phenomenology of particulate systems are embedded into the population balance model through breakage, aggregation, or growth kernels. Aggregation kernel is a difficult kernel to predict from first principle because of its nonlinear nature. In thi
Publikováno v:
Computers & Chemical Engineering. 26:1117-1131
The dynamics of particle size distribution (PSD) in a precipitation process are represented by a population balance (PB) and related differential–algebraic equations. The control of PSD is studied by using a closed-form solution of the PB. Batch-to
Publikováno v:
AIChE Journal. 48:981-990
Particulate process modeling is critical for system design and control used widely in the chemical industly. Previous methods have focused on the assumption of appropriate models that can capture system behavior. A new technique presented is based on
Autor:
Alan W. Mahoney, Doraiswami Ramkrishna
Publikováno v:
Chemical Engineering Science. 57:595-606
Population balance modeling has received an unprecedented amount of attention during the past few years from both academic and industrial quarters because of its applicability to a wide variety of particulate processes. In this article, a fresh look
Publikováno v:
IFAC Proceedings Volumes. 34:305-310
The particle size distribution of a precipitation process is represented by a popUlation balance and related differential-algebraic equations. The control of particle size distribution is studied by using an analytical solution of the population bala
Publikováno v:
Journal of chromatography. A. 1092(1)
Hybrid processes for enantioseparations have a considerable potential for reducing investment and operational costs. An example is the combination of simulated moving bed (SMB) chromatography and selective crystallisation. However, the design of inte
Publikováno v:
Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).
Modeling of particulate system is complicated by the wide range of mechanisms that affect particles of various sizes. Even when detailed fundamental models are available, they are often intractable for online control. We use an approach intermediate
Conference
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