Bioreactors : animal cell culture control for bioprocess engineering

Content: IntroductionA new type of bioreactorBioreactor modeling and controlOrganization of the bookNovel see-saw bioreactorConstruction and working of the see-saw bioreactorTheoretical modeling and simulationOxygen transfer to the falling filmOxygen transfer to the flat surfaceTotal oxygen transfer in the bioreactorExperiments to verify the modelingDiscussion of the resultsFuture scope of workSimulation of bioprocess and development of BIPROSIM: A general purpose simulation programMathematical formulation of the bioprocessModes of operationAdoption in the model parametersThe algorithm of BIPROSIMSample runDynamic optimization of a bioprocess using genetic algorithmHistorical backgroundBioprocess model developmentApplication of genetic algorithm for control input optimizationExplanation of the application of GAAlgorithm 4.1Flowchart of Algorithm 4.1Subroutine \"Child\"Subroutine \"Mutate\"Algorithm 4.2Flowchart of Algorithm 4.2Results of the application of GABioprocesses and time delay controlThe problem of bioprocess controlDevelopment of dynamic modelTime delay controlTime delay controller as bioprocess controllerObserver designPID controllers for bioprocess controlSimulation results and discussionsExperimentation on the bioreactorInstrumentationExperimentationPresentation of experimental resultsComparison between experimental and theoretical resultsSummaryGeneral conclusion and future scope of researchOverview of the workGeneral conclusionFuture scope of researchReferencesAppendix: Environmental control and sterilization of the bioreactor