In this episode of The Feed Science Podcast Show, Dr. Hongyuan Cheng, a process engineering consultant, shares technical strategies to improve animal feed production using data-driven models. He explores how math modeling, extrusion dynamics, and steam optimization can enhance efficiency across feed mills. Get valuable insights on transitioning from intuition-based decisions to measurable process improvements. Listen now on all major platforms!

"Understanding material binding properties is critical, but direct measurement methods are often unreliable or impractical at scale."

Meet the guest: Dr. Hongyuan Cheng earned his Ph.D. in Chemical Engineering from the Technical University of Denmark. With over 15 years of experience, he transitioned from chemical process modeling to feed processing, specializing in optimizing extrusion, steam use, and pellet quality in fish feed production lines.

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What will you learn: 

• (00:00) Highlight
• (00:40) Introduction
• (05:10) Modeling feed processes
• (06:35) Pellet quality importance
• (08:45) Data collection challenges
• (13:06) Understanding raw materials
• (16:33) Machine learning in feed
• (21:43) Final Questions

The Feed Science Podcast Show is trusted and supported by innovative companies like:

- VAL-CO

* Kemin

* Evonik

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