Ravendra Singh
Technical University of Denmark
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Featured researches published by Ravendra Singh.
Computers & Chemical Engineering | 2009
Ravendra Singh; Krist V. Gernaey; Rafiqul Gani
Abstract In the manufacturing industry, for example, the pharmaceutical industry, a thorough understanding of the process is necessary in addition to a properly designed monitoring and analysis system (PAT system) to consistently obtain the desired end-product properties. A model-based computer-aided framework including the methods and tools through which the design of monitoring and analysis systems for product quality control can be generated, analyzed and/or validated, has been developed. Two important supporting tools developed as part of the framework are a knowledge base and a model library. The knowledge base provides the necessary information/data during the design of the PAT system while the model library generates additional or missing data needed for design and analysis. Optimization of the PAT system design is achieved in terms of product data analysis time and/or cost of monitoring equipment subject to the maintenance constraints of the desired product quality. The application of the model-based framework is highlighted through a case study involving the operation of a fermentation process.
Computers & Chemical Engineering | 2010
Ravendra Singh; Krist V. Gernaey; Rafiqul Gani
Abstract In chemicals based product manufacturing, as in pharmaceutical, food and agrochemical industries, efficient and consistent process monitoring and analysis systems (PAT systems) have a very important role. These PAT systems ensure that the chemicals based product is manufactured with the specified end product qualities. In an earlier article, Singh et al. [Singh, R., Gernaey, K. V., Gani, R. (2009). Model-based computer-aided framework for design of process monitoring and analysis systems. Computers & Chemical Engineering, 33, 22–42] proposed the use of a systematic model and data based methodology to design appropriate PAT systems. This methodology has now been implemented into a systematic computer-aided framework to develop a software (ICAS-PAT) for design, validation and analysis of PAT systems. Two supporting tools needed by ICAS-PAT have also been developed: a knowledge base (consisting of process knowledge as well as knowledge on measurement methods and tools) and a generic model library (consisting of process operational models). Through a tablet manufacturing process example, the application of ICAS-PAT is illustrated, highlighting as well, the main features of the software.
Computers & Chemical Engineering | 2010
Ravendra Singh; Krist V. Gernaey; Rafiqul Gani
Efficient process monitoring and analysis tools provide the means for automated supervision and control of manufacturing plants and therefore play an important role in plant safety, process control and assurance of end product quality. The availability of a large number of different process monitoring and analysis tools for a wide range of operations has made their selection a difficult, time consuming and challenging task. Therefore, an efficient and systematic knowledge base coupled with an inference system is necessary to support the optimal selection of process monitoring and analysis tools, satisfying the process and user constraints. A knowledge base consisting of the process knowledge as well as knowledge on measurement methods and tools has been developed. An ontology has been designed for knowledge representation and management. The developed knowledge base has a dual feature. On the one hand, it facilitates the selection of proper monitoring and analysis tools for a given application or process. On the other hand, it permits the identification of potential applications for a given monitoring technique or tool. An efficient inference system based on forward as well as reverse search procedures has been developed to retrieve the data/information stored in the knowledge base.
Computers & Chemical Engineering | 2011
Noor Asma Fazli Bin Abdul Samad; Ravendra Singh; Gürkan Sin; Krist V. Gernaey; Rafiqul Gani
A generic multi-dimensional modelling framework for crystallization processes has been developed to study various aspects of batch cooling crystallization operations and modelling options. The framework contains a generic crystallizer model from which a wide range of problem-system specific models can be created through a model generation procedure. The modelling framework allows one to study a wide range of chemical (crystallization) systems as well as different crystallizer operation phases (scenarios) through choices of different forms of models for phenomena such as nucleation, crystal growth, agglomeration and breakage. Applications of the modelling framework are highlighted through: (i) a paracetamol crystallization case study illustrating the ability of the modelling framework to develop and further extend models and to switch between different chemical systems; and (ii) a potassium dihydrogen phosphate (KDP) case study to demonstrate how the model complexity can be changed by switching between one-dimensional and two-dimensional descriptions.
Computer-aided chemical engineering | 2011
Ravendra Singh; Raquel Rozada-Sanchez; Tim Wrate; Frans Muller; Krist V. Gernaey; Rafiqul Gani; John M. Woodley
In the work reported here, a substrates adoption methodology for a series of similar substrates has been developed as part of a retrofit strategy. The objective is to achieve “fast, flexible and future” pharmaceutical production processes by adapting a generic modular process-plant template. Application of the methodology is illustrated through a case study from the pharmaceutical industry. Use of computer-aided models, methods and tools as part of the methodology is also highlighted.
Computer-aided chemical engineering | 2010
Noor Asma Fazli Bin Abdul Samad; Ravendra Singh; Gürkan Sin; Krist V. Gernaey; Rafiqul Gani
Abstract A generic model-based framework has been developed for crystallization processes, with applications aiming at the control of process operations and the monitoring of product quality. This generic model-based framework allows the systematic development of a wide range of crystallization models for different operational scenarios. This enables the design and control engineers to analyze various crystallization operations and conditions, thus facilitating the development of process control and monitoring systems (PAT systems) for crystallization processes. The generic framework has been implemented in the ICAS-PAT software which allows the user to design and validate PAT systems through a systematic computer-aided framework. The application of the framework is highlighted for batch cooling crystallization of paracetamol where the framework was applied for design of a process monitoring and control system to obtain a desired crystal size distribution (CSD).
Computer-aided chemical engineering | 2012
Ravendra Singh; Raquel Rozada-Sanchez; William Dean; Jacob Perkins; Frans Muller; Andy Godfrey; Krist V. Gernaey; Rafiqul Gani; John M. Woodley
Abstract In the work reported here, a conceptual generic continuous process template for pharmaceutical production is presented. The template is demonstrated on a nitro reduction case study that should in principle be generic such that it can handle a series of substrates with similar molecular functionality. To assist in adoption of different substrates, a systematic substrate adoption methodology (SAM) has also been developed. The objective of the generic process template together with the SAM is to provide flexibility as well as increased efficiency to continuous processes while reducing inventory for safer operations (from 50 to 100 L in batch or 3 to 5 L in continuous processes). It is shown that the use of the template together with SAM can lead to potential savings in product development times through flexible and efficient production of Kg amounts of product material for clinical trials and other analyses.
Computer-aided chemical engineering | 2011
Noor Asma Fazli Bin Abdul Samad; Ravendra Singh; Gürkan Sin; Krist V. Gernaey; Rafiqul Gani
Abstract A generic multi-dimensional modeling framework for studying batch cooling crystallization processes under generated operational policies is presented. The generic nature of the modeling allows the study of a wide range of chemical systems under different operational scenarios, enabling thereby, the analysis of various crystallization operations and conditions. Furthermore, a systematic procedure for generating operational policies through available analytical crystal size distribution (CSD) estimators has been developed and verified for achieving targeted CSD consistently. The application of the model-based framework is highlighted for batch cooling crystallization of potassium dihydrogen phosphate (KDP) in two-dimensions, while the use of the analytical estimator is demonstrated for a potassium dichromate case study to achieve a target CSD.
Computer-aided chemical engineering | 2008
Ravendra Singh; Krist V. Gernaey; Rafiqul Gani
Abstract In the manufacturing industry, for example the pharmaceutical industry, a thorough understanding of the process is necessary, in addition to a properly designed monitoring and analysis system (PAT system) to consistently obtain, the desired end-product properties. A model-based computer-aided framework including the methods and tools through which the design of monitoring and analysis systems for product quality control can be generated, analyzed and/or validated, has been developed. Two important supporting tools within the framework are a knowledge base and a model library. The knowledge base provides the necessary information/data during the design of the PAT system and the model library generates additional or missing data needed for design. Optimization of the PAT system design can be achieved in terms of product data analysis time and/or cost of monitoring equipment subject to the maintenance of the desired product quality.
international conference on modeling, simulation, and applied optimization | 2011
Noor Asma Fazli Bin Abdul Samad; Ravendra Singh; Gürkan Sin; Krist V. Gernaey; Rafiqul Gani
A systematic procedure to achieve a target crystal size distribution (CSD) under generated operational policies in batch cooling crystallization is presented. An analytical CSD estimator has been employed in the systematic procedure to generate the necessary operational policies to achieve the target CSD. Furthermore, this systematic procedure has been integrated with a generic multi-dimensional model-based framework. The generic nature of the model-based framework allows the study of a wide range of chemical systems under different operational scenarios, enabling thereby, the analysis of various crystallization operations and conditions. Therefore this generic multidimensional model-based framework can be used to generate “specific” models for crystallization processes and further verify the operational policies generated by the analytical CSD estimator for achieving the targeted CSD consistently. The application of the systematic procedure is illustrated for a potassium dichromate case study.