Dynamic Refractive Index Roofing Thickness Control
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Solution Overview
Problem
Existing roofing manufacturing processes struggle to maintain uniform and consistent thickness of asphalt roofing layers, leading to variations in product weight and quality.
Innovation Solution
A method involving the measurement of temperature and density to determine the refractive index of the asphalt layer, calculating thickness using the time of flight of a light beam, and generating a control signal to adjust the coating process, accounting for thermal expansion to achieve the desired thickness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional thickness measurement methods are used, then the measurement process is simple, but the thickness consistency and precision are poor
Solution Approach 1:
The patent replaces mechanical thickness measurement methods with optical measurement using light propagation time. The system uses a light source and detector to measure the time for light to travel through the asphalt layer, calculating thickness based on the relationship between propagation time, refractive index, and light speed. This substitution of mechanical systems with optical systems enables non-contact, high-precision measurement that significantly improves thickness consistency while maintaining reasonable system complexity.
Solution Approach 2:
The patent dynamically adjusts the refractive index parameter based on temperature and density measurements of the asphalt layer. By continuously monitoring temperature and density changes during manufacturing and updating the refractive index accordingly, the system compensates for environmental variations and material property changes, thereby maintaining high measurement precision and thickness consistency throughout the manufacturing process.
2Measurement precision
If temperature and density variations are not accounted for, then the measurement process is simpler, but the thickness measurement accuracy deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where temperature and density sensors continuously monitor the asphalt layer properties, and this information is fed back to dynamically adjust the refractive index value used in thickness calculations. The system measures temperature and density, updates the refractive index based on empirical relationships, and uses this updated index for subsequent thickness measurements. This closed-loop feedback ensures that measurement accuracy is maintained despite temperature and density variations, while the automated nature of the feedback process keeps the system complexity manageable.
Solution Approach 2:
The patent explicitly accounts for temperature and density variations by making the refractive index a dynamic parameter rather than a constant. The system establishes empirical relationships between temperature, density, and refractive index, then continuously updates the refractive index value based on real-time temperature and density measurements. This parameter adaptation approach directly addresses the impact of environmental and material variations on measurement accuracy without requiring overly complex measurement procedures.
3Measurement precision
If refractive index is assumed constant, then calculations are simpler, but thickness calculation accuracy deteriorates under varying temperature and density conditions
Solution Approach 1:
The patent transforms the refractive index from a constant parameter to a dynamic parameter that changes with temperature and density. The system establishes empirical relationships (such as linear or polynomial correlations) between temperature, density, and refractive index based on experimental data. During manufacturing, the system continuously measures temperature and density, calculates the corresponding refractive index using these empirical relationships, and applies this dynamic index to the thickness calculation formula. This approach significantly improves thickness calculation accuracy under varying conditions while keeping the computational complexity within acceptable limits through the use of straightforward empirical correlations.
Solution Approach 2:
The patent performs preliminary experimentation to establish the empirical relationships between temperature, density, and refractive index before actual manufacturing measurements. By conducting advance experiments to determine how refractive index varies with temperature and density, the system creates lookup tables or mathematical correlations that can be quickly applied during production. This preliminary characterization work enables the system to rapidly determine the correct refractive index value during manufacturing without requiring complex real-time calculations, thus improving accuracy while controlling complexity.
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 accurate and consistent thickness of asphalt roofing layers, minimizing product variations and ensuring quality by dynamically controlling the manufacturing process.
Implementation Method 1
measuring time of flight of a light beam through the asphalt roofing layer
Implementation Method 2
determining a refractive index for the asphalt roofing layer, that varies with density and temperature of the asphalt roofing layer
Implementation Method 3
calculating a target thickness using a final desired thickness and a volumetric thermal expansion equation
Data Source
AI summary
Disclosed is a system for measuring and controlling the thickness of asphalt roofing materials during manufacturing. Light beams are used to generate a time of flight signal that is used to determine the thickness of the asphalt roofing layer. A controller generates a thickness control signal that controls a coater to modify parameters of the coater to produce the asphalt roofing layer with a desired thickness.