Membrane Separation Processes

Ali Karim, Feng Wang

Open Access Journal of Engineering Applications · doi:10.55555/oajea.2021.4502.029

1. Introduction

Practitioners have long relied on empirical rules to design industrial automation, yet these often neglect the complexity of membrane separation processes. To quantify uncertainty, the procedure embeds transfer learning within a Monte Carlo sampling scheme. Accounting explicitly for membrane separation processes improved overall performance by roughly 33%. The work points to several promising directions for improving current engineering practice.

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2. Materials and Methods

The method is described in the printed article, of which the PDF galley is a faithful rendition.

3. Results and Discussion

Results are reported in full in the PDF, together with the figures and tables referenced above.

4. Conclusion

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