Filtration more art than science?
Photo credit: Timothy Neesam (GumshoePhotos) via Foter.com / CC BY-NC-ND (Yep, that’s Toronto in the background)

Filtration more art than science?

At BHS-Filtration, our Art and Science of Filtration (AS0F) newsletter is now in its eighth year. Instead of experiencing a seven-year-itch, we’re perhaps facing an eight year one as I started off the latest installment wondering if filtration isn’t sometimes more of an art than a science.

Our 2017 newsletter focuses on the art of filtration through case studies and creative problem solving. To start us out, issue 8.1 addressed the challenges of continuous processing as well as batch filtration and removal/clarification examples.

Continuous Filtration and Scaling Up

In the chemical process industry (CPI) as well as new technology arena (NTA), there are inherent risks and benefits to scaling up from the laboratory / bench top through pilot, demonstration and then finally commercial scale. ASoF provides an article following the process filtration approach developed for each technology stage gate starting from batch filtration in the lab to continuous filtration for the full-scale commercial operation.

The article is the basis for a BHS-led discussion at The 2017 Process Development Symposium organized by AICHE. Join us June 6 – 8 in beautiful Toronto to exchange wisdom, knowledge, tips, and personal experiences in the development and scale-up of chemical and related processes.

In our seminar you’ll learn it’s important to consider all of the steps in process scale-up:

  • First, it is critical to obtain the correct data from all prospectives including reaction, filtration, solids handling, drying as well as all of the other upstream and downstream equipment and systems. The team must know the process, observe the testing, and deduce the solution only from what is observed (and nothing more). Partnering with suppliers with a proven track record in similar applications will shorten the technology scale-up cycle.
  • Second, always allow time for fine-tuning even after the scale-up seems complete.
  • Next, the start-up and commissioning at each step will also have unknowns associated with these activities.
  • Finally, all that matters are the premises (process definition, requirements and testing objectives) and how the testing unwinds the crucial from the incidental (what is the critical process parameter), and ending up in the logical conclusion (optimum process filtration solution).

This article originally appeared on my blog at perlmutterunfiltered.com.

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