The focus of this paper is on improving the monitoring and control of end-use quality variables in batch nylon 6,6 autoclaves. Relatively few on-line measurements and frequent disturbances often result in a significant amount of variability in the product quality variables for this system. To lessen
Optimal control of product quality for batch nylon-6,6 autoclaves
✍ Scribed by Marcel Joly; José M. Pinto
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 255 KB
- Volume
- 97
- Category
- Article
- ISSN
- 1385-8947
No coin nor oath required. For personal study only.
✦ Synopsis
Dynamic optimization problems are usually solved by transforming them into nonlinear programming (NLP) models with either sequential or simultaneous approaches. In this paper, the potential and limitations of both procedures in solving a general batch nylon-6,6 autoclave optimization model are evaluated and discussed. Nylon-6,6 is a highly value-added good produced in large-scale under many different specifications. Highly nonlinear behavior, lack of on-line measurements of polymer qualities and several disturbances inherent to this process motivate its optimal operation. In addition, the operation during the finishing stage of the batch polycondensation is crucial since it largely determines the final product molecular weight and quality. Results show that both strategies can be successfully applied to solve the dynamic optimization problem only after an expressive level of investments in terms of modeling implementation. However, the simultaneous strategy has the advantage that specification constraints can be directly enforced in the model, thus generating better and more robust results.
📜 SIMILAR VOLUMES
In this study, optimal vapor release rate (or pressure) histories have been generated for an industrial semi-batch nylon 6 reactor using Pontryagin's minimum principle. The batch time has been taken as the objective function, which is to be minimized. The pressure is constrained to lie between a low