Dryer Moisture Detection Using Chamber and Exhaust Temperature Sensors
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Solution Overview
Problem
Conventional dryer appliances lack precise moisture content detection, especially at low levels, due to inaccurate sensor rod systems that are heavily dependent on load type and size, leading to unreliable signals and longer cycle times.
Innovation Solution
A system that includes a chamber temperature sensor, exhaust temperature sensor, and humidity sensor positioned near the top of the drum, which estimates moisture content using chamber and exhaust temperature measurements, and adjusts operating parameters accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor rod systems are used to detect moisture content, then the dryer can detect moisture levels, but the detection precision is poor especially at low moisture content levels
Solution Approach 1:
The patent introduces an intermediary computational model that processes sensor rod signals along with additional measurements (chamber temperature, exhaust temperature, humidity sensor data) to derive moisture content. This intermediary processing layer filters noise and compensates for load-type dependencies, improving both precision and reliability of moisture detection.
Solution Approach 2:
The patent changes the parameters used for moisture detection from relying solely on sensor rod resistance to using a combination of chamber temperature, exhaust temperature, and humidity sensor readings processed through a computational model. This parameter transformation enables more precise and reliable moisture content measurement across different load types.
2Adaptability or versatility
If sensor rod systems are used to detect moisture content, then moisture detection is possible, but the signals are heavily dependent on load type causing noisy signals for delicate loads
Solution Approach 1:
The patent creates a universal detection system that handles multiple load types (delicate, cotton, heavy) through a single computational model that processes temperature and humidity data. This multi-functional approach eliminates the need for load-type-specific calibration while maintaining signal consistency across all load types.
Solution Approach 2:
The system uses feedback from multiple sensors (chamber temperature, exhaust temperature, humidity) to continuously adjust and refine moisture content estimates. This feedback mechanism compensates for load-type variations and maintains reliable detection across different fabric types and load sizes.
3Reliability
If heavy filtering processes are applied to sensor rod signals, then signal reliability improves, but the processing complexity increases
Solution Approach 1:
The patent replaces complex mechanical filtering processes with a computational model that uses mathematical relationships between temperature, humidity, and moisture content. This substitution achieves signal reliability through algorithmic processing rather than heavy filtering, reducing system complexity while maintaining detection accuracy.
4Measurement precision
If cycle time is increased to compensate for inaccurate moisture detection, then desired final moisture content is achieved, but productivity decreases
Solution Approach 1:
The system performs preliminary action by continuously monitoring chamber temperature, exhaust temperature, and humidity to early-detect when moisture content reaches desired levels. This allows the dryer to terminate cycles promptly rather than running extended times, improving productivity while maintaining accurate moisture detection.
Solution Approach 2:
The feedback mechanism using multiple sensors enables real-time moisture content estimation, allowing the system to respond immediately when drying objectives are met. This eliminates the need for extended cycle times and improves drying efficiency while maintaining precise moisture control.
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 method provides improved accuracy and reliability in moisture content detection, allowing for more precise control of the drying process and reducing the need for extended cycle times.
Implementation Method 1
measuring a chamber temperature using the chamber temperature sensor
Implementation Method 2
measuring an exhaust temperature using the exhaust temperature sensor
Implementation Method 3
measuring a chamber humidity using the humidity sensor
Implementation Method 4
estimating the moisture content of the clothes in the dryer appliance using the chamber temperature, the exhaust temperature sensor, and the chamber humidity
Data Source
AI summary
A dryer appliance and a method of detecting a moisture content of clothes in the dryer appliance are provided. The dryer appliance includes a top bearing positioned proximate a front of a rotating drum and temperature and humidity sensors positioned behind the top bearing for measuring a chamber temperature and humidity as well as a temperature sensor for measuring the exhaust temperature. A controller implements a method of detecting the moisture content of clothes within the drum by obtaining the chamber and exhaust temperatures and the chamber humidity, estimating the moisture content using these values, and adjusting at least one operating parameter of the dryer appliance in response to the estimated moisture content of the clothes.