Feature papers / / Michael Henson, editor.

This special issue contains the first papers of Processes and is intended to highlight a diverse set of topics related to process technology for the chemical, materials, biochemical, pharmaceutical and biomedical industries. To enhance the impact of these industries on society, process innovation th...

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Bibliographic Details
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Place / Publishing House:[Place of publication not identified] : : MDPI AG - Multidisciplinary Digital Publishing Institute,, [2015]
©2015
Year of Publication:2015
Language:English
Physical Description:1 online resource (404 pages)
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Table of Contents:
  • Editorial: Special Issue: Feature Papers
  • Improved Large-Scale Process Cooling Operation through Energy Optimization
  • Scale-Up Design Analysis and Modelling of Cobalt Oxide Silica Membrane Module for Hydrogen Processing
  • Systematic Sustainable Process Design and Analysis of Biodiesel Processes
  • Density and Viscosity Measurement of Diesel Fuels at Combined High Pressure and Elevated Temperature
  • Flexible Design and Operation of Multi-Stage Flash (MSF) Desalination Process Subject to Variable Fouling and Variable Freshwater Demand
  • Complex Nonlinear Behavior in Metabolic Processes: Global Bifurcation Analysis of Escherichia coli Growth on Multiple Substrates
  • CHO Quasispecies-Implications for Manufacturing Processes
  • Interpretation of Cellular Imaging and AQP4 Quantification Data in a Single Cell Simulator
  • Modeling of Particulate Processes for the Continuous Manufacture of Solid-Based Pharmaceutical Dosage Forms
  • Averaging Level Control to Reduce Off-Spec Material in a Continuous Pharmaceutical
  • Pilot Plant
  • Photochemical Patterning of lonically Cross-Linked Hydrogels
  • Thermo-Responsive Hydrogels for Stimuli-Responsive Membranes
  • Preparation and Characterization of the TiO: Immobilized Polymeric Photocatalyst for Degradation of Aspirin under UV and Solar Light
  • Dynamic Modeling for the Design and Cyclic Operation of an Atomic Layer Deposition (ALD) Reactor
  • Reduced Models in Chemical Kinetics via Nonlinear Data-Mining
  • A Real-Time Optimization Framework for the Iterative Controller Tuning Problem.