Bioreactor Characterization – Asset Library

Before we get into what’s the need for an Asset Library, let’s revisit the importance of Asset Characterization in technology transfer and Scale Up Process!

Asset Characterization is an important step in determining the process performance capability of an equipment. Using Computational Tools / Software to characterize assets has reduced considerable time in planning future projects.

Asset Characterization process of a Bioreactor typically consists of parameter sweeps of various Process Variables like Impeller Speed, Liquid Viscosity, Liquid Density, Liquid Volume etc. which can quickly amount to large datasets for an asset.

Tridiagonal’s new offering SimSight aims at providing seamles integration of Asset Characterization data and Process Insights (Process Metrics). SimSight while providing an one stop storage and viewing of all the characterization data in an orderly fashion, also enables users to navigate through the design space and predict / interpolate on newer data points, and to develop Asset specific relations.

SimSight Workflow

Being a web based platform, it offers seamless communication between team members, specially for global organizations having workspaces across continents.

Process Insights – Powered by Simulations

SimSight

The SimSight target audience is vast, with varied use for personnel having different skillsets. For example, a Process Development team consisting of SMEs and Process Engineers can use SimSight in the following ways:

Analysts / SME(s):

  • Add results generated from computational tools like MixIT
  • Define asset specific correlations – Process Metrics etc.

Process Engineers:

  • Study Process Metrics
  • Analyze flow patterns to compare performance​ of the asset
  • Visualize PP-PM relationships via Scatter Plots

It’s time for a proactive approach to simplify the process of technology transfer while saving TIME, MONEY and EFFORTS!

Tridiagonal is offering live demo of SimSight. To schedule, please reach out to:


Mothivel Mummudi [at] mothivel.mummudi@tridiagonal.com

OR

Prerak Dongaonkar [at] prerak.dongaonkar@tridiagonal.com

Direct links to previous blogs:

Stay tuned to this space as we explore Sim Sight and it’s capabilities in the future blogs!

Published by Prerak Dongaonkar

Senior Data Scientist at Tridiagonal Solutions. Telling stories with Data!

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