PACK program optimization

Optimization of a distributed parameter system can be posed in various ways. An example is a packed, tubular reactor with radial diffusion. Assume a single reversible reaction takes place. To set up the problem as a nonlinear programming problem, write the appropriate balances (constraints) including initial and boundary conditions using the following notation ... 

In a similar manner to the program for optimization of a packed column, the program written in table (2) is in a very simple form that can be translated easily to the basic language used by other computers. The output will be sent directly to the monitor screen in the output window. However, by replacing the PRINT statements by LPRINT statements the output will be sent to a printer. If the clipboard is defined a file, and the result print, statements are replaced by write statements, then the results can be sent to the clipboard and pasted into word processing text. An example of an output from the program Is shown in Table (3),... 

Gehrke and Patel [460] looked for optimal reaction and chromatographic conditions in the analysis of silyl derivatives of nucleosides prepared by reaction with BSTFA. They recommended performing the derivatization with a 225-fold molar excess of BSTFA at 150°C for 15 min in a closed vial and analysis on a 1 m X 4 mm ED. column packed with 4% of OV-11 on Supelcoport (100—120 mesh) with temperature programming at 5°C/ min from 140°C. 

Whether it is for the development of new package formats, such as for intranasal drug administration or transdermal patches, or for more traditional delivery systems, such as cycle packs, solutions, or aerosols, the need to educate employees involved in the processing is essential to the transfer program s success. Identifying and controlling process variables are necessary while experience is gained, and the process is optimized and validated. 

Once a column of the prescribed dimensions is obtained and set up, the actual contribution of its end effects and tubing to variance must be determined as a function of flow rate. Once the production bed is packed, the dependence of the analytical gaussian parameters on flow rate must be determined. Finally the computer program could once again be used to find feed loading and flow rates which optimize cost/productivity. 

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