Coffee Grinder Feedback Control for Consistent Percolation
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Solution Overview
Problem
The existing coffee machine grinders require manual adjustment of grain size, which is challenging due to variability in coffee type, roasting, moisture content, and grinder wear, making it difficult to achieve the desired beverage taste.
Innovation Solution
An automatic method for controlling the coffee machine grinder adjusts the gap between grinding wheels based on real-time measurements of the percolation process, using motors and sensors to maintain a desired percolation rate, time, or pressure, allowing for precise adjustment of grain size.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual adjustment of the gap between grinding wheels is used, then the device complexity is reduced, but the manufacturing precision of grain size is insufficient due to variability in coffee type, roasting, moisture content, and grinder wear
Solution Approach 1:
The control unit receives signals from sensors measuring percolation rate, time, or pressure, compares actual values with reference values, and automatically adjusts the gap between grinding wheels to compensate for deviations. This closed-loop feedback system maintains consistent grain size despite variations in coffee characteristics and grinder wear.
Solution Approach 2:
The grinder system performs self-adjustment of the gap between grinding wheels based on sensor measurements of the percolation process. The system automatically detects deviations in grain size effects and corrects them without requiring manual intervention, adapting to coffee variability and wear autonomously.
2Manufacturing precision
If automatic adjustment of grain size is implemented, then the manufacturing precision of grain size is improved, but the device complexity increases due to addition of sensors, motors, and control algorithms
Solution Approach 1:
The manual mechanical adjustment system is replaced with an automated electromechanical system. Sensors detect percolation parameters, the control unit processes this information, and motors execute gap adjustments, substituting human-operated mechanical systems with automated sensing and actuation systems.
Solution Approach 2:
The control unit serves multiple functions: it receives signals from various sensor types (flow meters, pressure sensors, timers), stores reference values for different coffee types, executes adjustment algorithms, and controls the gap adjustment mechanism. This multi-functional design consolidates complexity into a single control unit.
3Ease of operation
If the gap between grinding wheels is fixed, then the ease of operation is improved, but the adaptability to different coffee characteristics and grinder conditions deteriorates
Solution Approach 1:
The static gap between grinding wheels is transformed into a dynamic parameter that automatically adjusts based on sensor measurements. The system continuously monitors percolation rate, time, or pressure and modifies the gap to maintain optimal grain size, enabling adaptation to different coffee types and wear conditions while maintaining simple operation.
Solution Approach 2:
The system changes the physical parameter of the gap width between grinding wheels in response to detected variations in percolation characteristics. By dynamically modifying this parameter, the system adapts to different coffee stocks, roasting levels, moisture contents, and grinder wear without requiring manual intervention.
Data Source
AI summary
A method is provided for controlling a coffee machine grinder, which includes measuring the actual value of physical quantity relating to the percolation process and modifying the ground coffee grain size at least for the next percolation so that a possible detected deviation between the actual value and a reference value for the physical quantity is compensated.