Biopharma Upstream Process Simulation

Hello, good morning. Thank you. Thank you for being here. Good afternoon indeed. Thank you for being here on this webinar where we will talk about biopharma and specifically upstream process simulations using ADSYS tools. My name is Jesus Ramirez.

I am part of the technical staff of OSINT January, an elite shadow partner from ADSYS.

At OSINT January, we specialize in simulation and consulting services across various fields, including structural, fluid dynamics, electronics, optics, photonics, treatment science, semiconductors, acoustic simulations, and safety analysis, with a focus on autonomous vehicle simulations.

We offer our customers software tools, consulting services, training, mentorship, and technical support.

Our tools focus on different physics, such as fluid simulation, which we call CFD, and other physics like electronics, optics, photonics, treatment science, semiconductors, acoustic simulations, and safety analysis.

Our main offices are located in San Diego, Durham, and Columbia, with territories covering California, Nevada, Oregon, Washington, Maryland, Virginia, South Carolina, North Carolina, Idaho, and Montana.

Our goal is to work together with policy makers, regulatory bodies, industry leaders, consortiums, and academics to enhance simulation processes and technologies, improving efficiency and performance for end-users. Now, let's discuss some challenges in the pharma industry.

Some key drivers for the process industry, shared by the pharma industry, include reducing time to market, analyzing failure risk, and dealing with mass variability.

However, the pharma industry has specific drivers, such as the high cost of failure for any batch and high tech regulatory requirements.

Additionally, there is a greater demand for product quality and a need for increased process understanding and efficiency due to the high stakes of developing blockbuster drugs. Legislation can help define process parameters, develop new processes, or troubleshoot existing ones.

ANSYS tools are uniquely positioned to help in these areas. Today, I will show you some of the things we can do to help you understand your process, develop processes, or troubleshoot existing ones using the tools and solutions we provide. One of the main challenges our customers face is scale-up.

We propose using computational simulations to improve the scale-up process. By working hand-in-hand with customers, we explain how to use these simulations and define what needs to be done in the scale-up process.

Customers appreciate the ability to prove a scale-up factor that helps them transition from the lab to the production process easily, accurately, and with less time and money. Now, let's talk about what we can do using ANSYS tools for mixing processes in the upstream bio-pharma industry.

While mixing can be a complex process, the basic requirements include ensuring proper mixing as fast as possible while maintaining certain constraints, such as keeping shear and friction rates within allowed limits and avoiding unwanted free surface deformation.

Using ANSYS tools, we can run traction models and get accurate predictions of lead time. We can detect mistakes in the process and optimize geometry and operating conditions to achieve the best solution for the desired result.

In summary, ANSYS can help companies improve their revenues and processes by providing advanced modeling, experimentation for optimal operating conditions, understanding of mixing characteristics, and predicting shear range and bubble formation.

ANSYS has developed a mixing guide process template that allows users to run a detailed mixing analysis within less than an hour. This template can be run in the ANSYS cloud for seamless deployment across geographies and enterprise levels. Thank you for your attention.

If you have any questions, please feel free to ask.