Material Detection System Using Correction Factors
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Solution Overview
Problem
Existing material detection systems for machines fail to accurately identify the type and properties of materials being processed, leading to potential damage to the machine or inefficiencies in manufacturing processes, particularly in the production of insulating glass units (IGUs) where different materials require specific configurations.
Innovation Solution
A material detection system comprising a material present sensor, a material type sensor with an inductive sensor correction factor of 0.5 or less, and a material color sensor, coupled with a controller that adjusts machine parameters based on detected material properties to prevent damage and ensure proper processing, using a feedback loop to match the material type with pre-configured settings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a material detection system uses basic sensors without correction factors, then the system is simpler and cheaper, but the measurement precision of material properties deteriorates
Solution Approach 1:
The patent applies parameter changes by introducing correction factors that modify the raw sensor signals based on the known properties of opposed materials. The correction factor adjusts the inductive sensor output to compensate for material-specific effects, transforming inaccurate raw measurements into precise material identification without requiring complex hardware changes.
Solution Approach 2:
The patent uses an intermediary approach by placing a material with known properties (correction material) opposite the inductive sensor. This correction material acts as a reference that enables the sensor to distinguish between different test materials by providing a baseline for comparison, effectively mediating the measurement process.
2Reliability
If the machine operates without real-time material detection, then the system is simpler and faster, but the reliability of machine operation deteriorates due to potential damage from incompatible materials
Solution Approach 1:
The system performs preliminary material detection and identification before the material enters the processing zone. By detecting material properties upstream and pre-adjusting machine parameters accordingly, the system prevents damage before it can occur rather than reacting to problems after they arise.
Solution Approach 2:
The patent implements a feedback loop where sensor data from material detection is continuously fed to the controller, which automatically adjusts machine parameters in real-time. This closed-loop feedback system ensures the machine is always configured appropriately for the current material being processed, maintaining reliability without manual intervention delays.
3Measurement precision
If multiple sensors are added to detect all material properties, then the measurement precision improves, but the device complexity and cost increase significantly
Solution Approach 1:
The patent achieves multi-functionality by using a single inductive sensor to perform multiple detection tasks: identifying material type, determining material presence, and detecting material properties through correction factor analysis. This universal sensor approach eliminates the need for separate specialized sensors for each detection function.
Solution Approach 2:
The system uses self-service by having the correction material serve as its own reference standard. The known properties of the correction material enable the sensor to calibrate and validate its measurements automatically, eliminating the need for external calibration equipment or additional reference sensors.
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
The system effectively prevents machine damage and ensures efficient processing by accurately determining the type and properties of materials, allowing for real-time adjustments to machine parameters, thereby maintaining production efficiency and quality in IGU manufacturing.
Implementation Method 1
a material type sensor opposed by a different material having an inductive sensor correction factor of 0.5 or less, wherein the material type sensor detects a portion of a magnetic field not absorbed by the material
Implementation Method 2
a material color sensor comprising a diffuse reflective photoelectric sensor that determines at least one of a degree of absorbency and reflectivity of the material
Implementation Method 3
a material color sensor comprising a diffuse reflective photoelectric sensor that determines at least one of a degree of absorbency and reflectivity of the material
Data Source
AI summary
A system and method that automatically determine a type of material at a machine input to prevent damage to the machine. A user interface receives a selection of a material type to be loaded into the machine. A controller performs a safety check before starting a process using the machine by matching the selected material type to a material type at the machine input determined based on signals received from a plurality of sensors. The plurality of sensors comprise a material present sensor, a material type sensor opposed by a different material having a inductive sensor correction factor of 0.5 or less, and a material color sensor.