Comsol Case Studies Engineering Perfect Puffed Snacks
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Engineering Perfect Puffed Snacks

Comsol
Analytics & Modeling - Predictive Analytics
Analytics & Modeling - Digital Twin / Simulation
Application Infrastructure & Middleware - Data Visualization
Food & Beverage
Education
Product Research & Development
Quality Assurance
Predictive Quality Analytics
Digital Twin
Process Control & Optimization
Software Design & Engineering Services
System Integration
Training
Food companies face the challenge of achieving the right moisture and texture in puffed snacks to ensure customer satisfaction. The process of puffing rice involves complex physics, including mass, momentum, and energy transport, rapid water evaporation, material phase transition, pressure buildup, and plastic deformation. Companies need to optimize processing conditions to ensure consistent texture, flavor, moisture content, and food safety. The research team at Cornell University, led by Prof. Ashim Datta, aimed to model the dynamics and material behavior during the puffing of parboiled rice to address these challenges.
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Cornell University, a prestigious Ivy League institution located in the United States, is renowned for its research and academic excellence. The university's Department of Biological and Environmental Engineering, led by Prof. Ashim Datta, focuses on innovative research in food engineering and other related fields. The research team, supported by a grant from the United States Department of Agriculture (USDA) Agriculture and Food Research Initiative (AFRI) program, aims to provide valuable insights and solutions to the food industry. Their work involves developing mathematical models and simulations to optimize food processing conditions, ensuring high-quality and safe food products for consumers.
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The research team at Cornell University used a grant from the USDA Agriculture and Food Research Initiative (AFRI) program to study the transport processes in deformable porous media with phase-dependent properties, focusing on food. They developed a modeling methodology to study the physics of food processes, making it applicable to various scenarios. The team used COMSOL Multiphysics® software to analyze the interconnected mechanical, thermal, material, and fluid behavior within a puffing parboiled rice grain. They built a multiphase porous media model to study mass and momentum changes, energy transport, and large volumetric expansion. The model analyzed different phases of solid rice, liquid and gas water, and moisture transport modes. The team validated the computational model using micro-CT images to determine the expansion ratio and visualize the microstructure development. They also tested how different levels of salt affected volumetric expansion, evaporation, and material properties. The model provided insights into the optimal amount of salt, moisture content, temperature, and heating time to produce the ideal puffed rice grain.
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The research team developed a comprehensive model that linked different behaviors occurring during puffing, including phase change.
The model provided insights into the optimal amount of salt, moisture content, temperature, and heating time to produce the ideal puffed rice grain.
The team extended their simulation practices to studies of food safety, helping food companies predict health benefits, expiration dates, and process safety.
The model showed the conditions needed to maximize the expansion ratio of puffed rice grains.
The simulation provided an adjusted rate of bacteria dying, confirming the safety of the final product.
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