Cryogenic Tunnel Parameter Control for Consistent Product Freezing
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Solution Overview
Problem
Existing cryogenic tunnels struggle to maintain optimal operating parameters due to varying product conditions, leading to inconsistent product quality and increased costs from inefficient cryogen consumption, as users typically rely on static settings rather than continuous adjustments.
Innovation Solution
A method that measures multiple key parameters and categorizes them into two groups to anticipate and adjust tunnel settings proactively and reactively, using a matrix-based approach to control conveyor speed, fan speed, and cryogen injection based on incoming and outgoing product conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users adjust tunnel parameters to optimize production, then product quality improves, but the complexity of continuous adjustment increases significantly
Solution Approach 1:
The control system automatically monitors product temperature and adjusts tunnel parameters without manual intervention. The system serves itself by detecting temperature deviations and autonomously modifying conveyor speed, air flow, or cryogen injection to maintain optimal freezing conditions, eliminating the need for complex manual parameter adjustments while ensuring consistent product quality
Solution Approach 2:
The system implements continuous temperature monitoring of products during freezing and uses this feedback to automatically adjust tunnel parameters. Temperature sensors provide real-time data to the controller, which modifies operational parameters based on detected deviations from target temperature profiles, creating a closed-loop control system that simplifies operation while maintaining precision
2Ease of operation
If users adopt an average temperature setting to cover most productions, then ease of operation improves, but product quality consistency deteriorates
Solution Approach 1:
The system dynamically adjusts tunnel parameters based on real-time product temperature measurements rather than using fixed average settings. The control system continuously adapts conveyor speed, air flow rate, and cryogen injection levels to match actual freezing conditions, enabling both operational simplicity and quality consistency through automated dynamic control
Solution Approach 2:
The system automatically modifies operational parameters such as conveyor speed, air flow rate, and cryogen injection based on measured product temperature and freezing progress. This automated parameter adjustment ensures optimal freezing conditions for each specific production batch without requiring manual intervention, maintaining both ease of operation and product quality
3Reliability
If cooling power is increased to ensure adequate freezing, then product freezing reliability improves, but cryogen consumption increases significantly
Solution Approach 1:
The system uses temperature feedback from products during freezing to automatically adjust cryogen injection levels. When products reach the target temperature, the system reduces or stops cryogen supply, preventing excessive consumption while ensuring adequate freezing. This closed-loop control optimizes the balance between freezing reliability and cryogen efficiency
Solution Approach 2:
The system applies cryogen injection only to the extent necessary to achieve the target freezing temperature, avoiding excessive cooling. By monitoring product temperature in real-time, the system delivers just enough cooling power required for each specific batch, reducing unnecessary cryogen consumption while maintaining freezing reliability
4Temperature
If tunnel temperature is lowered to compensate for warm incoming products, then product temperature control improves, but energy consumption increases
Solution Approach 1:
The system measures the temperature of incoming products before they enter the tunnel and uses this information to pre-adjust tunnel parameters such as conveyor speed, air flow rate, and cryogen injection levels. This preliminary adjustment based on actual product conditions optimizes energy usage by applying only the necessary cooling power required for each specific batch, avoiding excessive energy consumption
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures consistent product quality and reduces cryogen consumption by dynamically adjusting tunnel parameters, minimizing energy waste and production costs through precise control of freezing processes.
Implementation Method 1
means for extracting cold gases resulting from the vaporization of the fluid in the tunnel
Implementation Method 2
a system for injecting a cryogenic fluid into the interior space of the tunnel
Data Source
AI summary
A method and device for operating a cryogenic tunnel, comprising the implementation of the following provisions: - the measurement of several key process parameters; - the distribution of these parameters into two different groups characterizing the tunnel: • a first group for parameters that can and will be used to anticipate the future freezing power required by the tunnel; • a second group of parameters that can and will be used to evaluate the final result of the exiting products, parameters that will notably indicate whether the product is properly frozen.- the implementation of one or both of the following types of actions on these key parameters: • Anticipatory actions on the parameters of the 1st group to act upstream on an anticipated/expected deviation in the quality of freezing of the anticipatory actions, that is to say actions on the tunnel even before the product comes out too hot or too cold, in other words, without waiting to measure temperatures of frozen products that are too hot at the exit of the tunnel, it is possible to anticipate an action to modify the parameters of the tunnel; and • Feedbacks on the parameters of the second group, to rebalance an actual, measured drift in the quality of the products coming out, for example by the fact that the temperature of the frozen products at the exit of the tunnel is too high.