The purposes of the project is to develop new techniques for experimental optimization of batch recipes in real-time. Using advanced control algorithms, the software will analyze the date and transmit adjustments in the process conditions of the batch reactor in real-time in order to optimize the batch recipe. This research involves developing general strategies for attacking environmental waste problems in industrial processes. These strategies will involve the application of computer aided process synthesis and design techniques to improve the energy efficiency and cost effectiveness of industrial processes, while minimizing waste at the source of pollution. This approach will, in particular, incorporate the economic realities of industrial research, development, and capital investment budgets.
Future work includes the analysis of process alternatives for operability.
This research is on the dynamic simulation, optimization, and control of time-dependent batch processes to reduce costs and minimize waste. Computational techniques involving parallel processing and supercomputers will be examined to solve these very large problems. This research will extend current knowledge in simulation of dynamic processes. This research is in concert with experimental polymer processing efforts at the Oklahoma State University. The optimization will allow the determination of optimal operating conditions to obtain polymers of desired characteristics.