Granular Silo Vibration Damping With Real-Time Force Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Silo vibrations caused by dynamic pulsations and self-excited vibrations during material discharge are difficult to predict and control, leading to structural damage and health issues due to inconsistent vibration amplitudes and frequencies, which existing dynamic structural analysis methods cannot accurately address.
Innovation Solution
A dynamic vibration attenuation system comprising a sensor arrangement to monitor displacement, weight, and flow rate, a processor to calculate resultant dynamic forces, and a damping arrangement to actively dampen vibrations, maintaining amplitudes below a user-selectable threshold using a formula that accounts for time-variant mass, stiffness, and critical damping ratio.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional dynamic structural analysis methods are used, then the analysis process is simple, but the prediction accuracy of silo vibration response is insufficient
Solution Approach 1:
The patent implements a dynamic vibration attenuation system that continuously monitors and adjusts damping forces in real-time based on actual vibration conditions. The system uses sensors to detect vibration parameters (displacement, velocity, acceleration) and dynamically modifies the damping arrangement's output force, transitioning from static design to dynamic control. This resolves the contradiction by providing high prediction accuracy through real-time feedback while managing complexity through modular system architecture.
Solution Approach 2:
The system employs feedback control by continuously measuring vibration parameters through sensors and using this information to adjust the damping arrangement's force output. The processor calculates the required damping force based on measured displacement, velocity, and acceleration, then applies this force through the damping arrangement. This closed-loop feedback mechanism significantly improves prediction accuracy and control precision while systematically managing the added complexity through automated control algorithms.
2Reliability
If damping arrangements are designed to handle maximum vibration amplitudes, then structural safety is improved, but over-engineering increases cost and complexity
Solution Approach 1:
The patent uses dynamic damping arrangements that adjust their force output in real-time according to actual vibration conditions rather than maintaining constant maximum damping capacity. The system calculates the precise damping force needed at each moment based on measured vibration parameters, allowing the damping arrangement to operate at optimal levels rather than always at maximum capacity. This reduces the required size and complexity of the damping system while maintaining structural safety.
Solution Approach 2:
The system changes the damping parameter (damping force) dynamically based on real-time vibration measurements. The processor continuously calculates the optimal damping force using the formula Fd = -c·v - k·x, where c is the damping coefficient, v is velocity, k is the stiffness coefficient, and x is displacement. By adjusting the damping force parameter according to actual conditions, the system maintains structural safety without requiring oversized damping components, thus reducing complexity and cost.
3Adaptability or versatility
If passive damping arrangements are used, then the system is simpler, but the ability to adapt to varying vibration conditions is limited
Solution Approach 1:
The patent transitions from passive to active dynamic damping by using sensors to detect vibration conditions and a processor to calculate and control the damping force in real-time. The damping arrangement's force output is dynamically adjusted based on measured displacement, velocity, and acceleration parameters. This dynamic control system adapts to varying vibration conditions while managing complexity through modular architecture and automated control algorithms.
Solution Approach 2:
The system implements feedback control by continuously monitoring vibration parameters through sensors and using this information to adjust the damping arrangement's force output. The processor receives sensor data, calculates the required damping force using the measured parameters, and applies this force through the damping arrangement. This closed-loop feedback mechanism provides high adaptability to varying vibration conditions while systematically managing the added complexity through automated control.
4Strength
If the silo structure is strengthened to resist vibrations, then structural integrity is improved, but the cost and weight of the silo increase
Solution Approach 1:
The patent introduces a damping arrangement as an intermediary system between the silo structure and the vibration forces. Instead of strengthening the silo structure itself to resist vibrations, the damping arrangement acts as a mediator that actively counteracts vibration forces. The damping arrangement applies forces opposite to the vibration direction, reducing the load on the silo structure and allowing for lighter construction while maintaining structural integrity.
Solution Approach 2:
The system replaces the traditional approach of mechanically strengthening the silo structure with an active vibration control system. Instead of increasing structural mass and strength to resist vibrations, the patent uses sensors to detect vibrations and a control system to apply counteracting forces through the damping arrangement. This substitution allows maintaining structural integrity with reduced weight by using active control rather than passive structural reinforcement.
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 reduces silo vibrations to safe levels, preventing structural damage and health hazards by dynamically adjusting damping forces in real-time, improving the accuracy of dynamic analysis and reducing the need for over-engineering.
Implementation Method 1
a damping arrangement operatively responsive to the processor and configured to dynamically dampen the resultant dynamic force in order to maintain vibration amplitudes in the silo structure below a user-selectable threshold
Implementation Method 2
Fd = -c·v - k·x, where c is the damping coefficient, v is the velocity, k is the stiffness coefficient, and x is the displacement
Data Source
AI summary
Provided is a dynamic vibration attenuation system 10 for a granular material silo 8. The system 10 comprises a sensor arrangement 12, a processor 16, and a damping arrangement 24. The sensor arrangement 12 is configured for operatively sensing, over a period comprising a plurality of instances of time, a displacement of the silo 8, a weight of granular material in the silo 8, and a flow rate of granular material discharged from the silo 8. The processor 16 is arranged in signal communication with the sensor arrangement 12 and is configured to calculate, at each instance of time, a resultant dynamic force from the sensed displacement, weight and flow rate. System 10 further includes damping arrangement 24 which is operatively responsive to the processor 16 and is configured to dynamically dampen the resultant dynamic force in order to maintain vibration amplitudes in the silo structure 9 below a user-selectable threshold.