HPC for canned food dynamics

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The COVID-19 pandemic has increased demand for canned food, particularly sterilization equipment. This project proposes an innovative tool using OpenFOAM and HPC to aid design and manufacturing processes of autoclaves, reducing design and operation skills.

Start date: 01/06/2021

Duration in months: 18

Problem Description

Canned food consumption has recently experienced an important demand increase, especially due to COVID-19 pandemic, which has challenged each supplier to strike their processes to improve their production rates.


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The canned food industry's sterilization process, involving autoclaves, is sensitive and time-consuming due to the need for highly trained personnel, powerful CFD tools, and computing power to study heat transfer within the equipment, considering size scales.

Innovation results

The project aims to create a tool that aids in the design and manufacturing of autoclaves using OpenFOAM for CFD simulations and HPC to overcome computational processing limitations due to large size scale differences and multiple variables to study.

Business impact

The intuitive web-based graphical interface simplifies the design and operation of thermal systems by automating complex calculations using CFD with parameters obtained directly from the GUI, enabling users without prior knowledge or experience in these technologies.

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