Dryer Cycle Time Control Using Load Size and Air Flow Feedback
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Solution Overview
Problem
Existing dryer appliances face challenges in accurately predicting drying time, leading to either premature completion or extended cycles, which can result in wrinkled clothes or inefficient energy use.
Innovation Solution
A method and system for a dryer appliance that calculates an initial cycle time and updates it based on load size and air flow values, using sensors and algorithms to provide more accurate drying time predictions by adjusting the cycle time at various dampness thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed drying cycle time is used based on initial estimates, then the dryer appliance can operate with simple control logic, but the drying time prediction accuracy deteriorates leading to premature completion or extended cycles
Solution Approach 1:
The patent implements feedback mechanisms by continuously monitoring drying conditions (humidity, temperature, load characteristics) during the drying cycle and using this information to update and adjust the remaining drying time prediction. Sensors detect actual drying progress and feed this data back to the controller, which recalculates the cycle time dynamically rather than relying on fixed initial estimates.
Solution Approach 2:
The drying cycle control transitions from a static, predetermined time-based system to a dynamic, adaptive system. The controller continuously adjusts the predicted drying time based on real-time measurements of drying conditions, load characteristics, and environmental factors, making the cycle length flexible rather than fixed.
2Loss of energy
If the drying cycle concludes earlier than predicted, then energy consumption is reduced, but articles remain in the dryer causing wrinkles
Solution Approach 1:
The system uses feedback from humidity sensors and drying progress monitoring to determine the optimal termination point. When the predicted drying time is updated based on actual drying conditions, the cycle can be precisely terminated at the moment drying is complete, avoiding both premature ending (which causes wrinkles) and unnecessary extension (which wastes energy).
Solution Approach 2:
The patent replaces traditional mechanical timing mechanisms with electronic sensing and computational prediction. Instead of relying on fixed mechanical timers, the system uses sensors, microprocessors, and algorithms to dynamically determine when drying is complete, enabling more precise control over cycle termination.
3Reliability
If the drying cycle continues past predicted drying time, then articles are thoroughly dried, but energy is wasted and cycle time is extended
Solution Approach 1:
Continuous monitoring of drying conditions provides feedback that confirms when the drying objective has been achieved. The system detects when humidity levels reach target thresholds or when drying rate indicates completion, allowing the cycle to terminate promptly rather than continuing unnecessarily, thus ensuring reliability without wasting energy.
Solution Approach 2:
The drying system monitors its own progress and automatically determines when drying is complete based on sensor data and predictive algorithms. The controller self-adjusts the cycle termination point without requiring user intervention or conservative over-drying, optimizing the balance between drying completeness and energy efficiency.
4Measurement precision
If dynamic updates to remaining cycle time are implemented based on load size and air flow values, then drying time prediction accuracy is improved, but computational complexity increases
Solution Approach 1:
The system dynamically changes key parameters (load size, air flow rate, humidity levels, temperature) during the drying cycle and uses these parameter variations to update predictions. By monitoring how these parameters evolve over time, the system can adjust the remaining cycle time calculation to reflect actual drying conditions rather than relying on static initial values.
Solution Approach 2:
The patent performs preliminary measurements and calculations during the early stages of the drying cycle to establish baseline characteristics (initial load size, air flow properties, drying rate). These preliminary data points are used to create an updated prediction model that guides the remainder of the cycle, reducing the need for continuous complex computation while maintaining accuracy.
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
This approach improves the accuracy of drying time prediction, ensuring clothes are dried efficiently and reducing the likelihood of wrinkles or extended cycle times, thereby enhancing user satisfaction and energy efficiency.
Implementation Method 1
a heater assembly that passes heated air through the chamber of the drum in order to dry moisture-laden articles disposed within the chamber
Implementation Method 2
a blower is utilized to flow the internal air from the vent duct to the exhaust duct. When operating the blower may pull air through itself from the vent duct, and this air may then flow from the blower to the exhaust conduit
Data Source
AI summary
Dryer appliances and methods for operating dryer appliances are provided. A method includes calculating an initial cycle time, and counting down from the initial cycle time for an initial countdown time. The method further includes determining, during the step of counting down from the initial cycle time for the initial countdown time, whether a load size value and an air flow value have been established. The method further includes calculating, when the load size value and the air flow value have been established, a first updated remaining cycle time based on the load size value and the air flow value.