Active Flexural Wave Absorber Using ML Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for mitigating flexural waves rely on passive dampening materials that employ a one-size-fits-all approach, are ineffective at low frequencies, and add weight to structures, failing to adaptively absorb flexural waves across a broad bandwidth.
Innovation Solution
A system comprising a sensor, actuator, processor, and memory that uses machine learning techniques to detect and generate suppression and cancellation waves, reducing the reflection coefficient of incident flexural waves by determining their amplitude and phase, and training a neural network to produce a cancellation wave that effectively absorbs the wave components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If passive dampening materials are used to mitigate flexural waves, then the structure gains vibration reduction capability, but the system weight increases considerably
Solution Approach 1:
The patent replaces passive mechanical dampening materials with an active control system that uses sensors, processors, and actuators to generate suppression waves. This substitution eliminates the need for heavy passive materials while achieving vibration reduction through wave interference principles, directly resolving the contradiction between vibration reduction capability and structure weight.
2Ease of manufacture
If conventional passive dampening materials are used, then the system is simple to implement, but the absorption ability is reduced at low frequencies
Solution Approach 1:
The patent implements a dynamic control system that adapts to different frequency conditions. The processor analyzes sensor data in real-time and adjusts the actuator's suppression wave generation dynamically, enabling effective absorption across a broad frequency range including low frequencies, unlike static passive materials that perform poorly at low frequencies.
Solution Approach 2:
The system incorporates feedback mechanisms where sensors continuously monitor flexural wave conditions and the processor uses this information to adjust the suppression wave generation. This feedback loop enables the system to maintain high absorption effectiveness across varying frequency conditions, particularly improving low-frequency performance while keeping the implementation relatively simple.
3Adaptability or versatility
If passive dampening materials are used, then the solution is universally applicable, but it does not adapt to the presence of flexural waves acting on the structure
Solution Approach 1:
The control system performs self-adjustment by automatically analyzing sensor data and generating appropriate suppression waves without external intervention. The processor and actuator work autonomously to adapt to changing flexural wave conditions, providing high adaptability while maintaining relatively simple system architecture through self-service operation.
4Adaptability or versatility
If conventional dampening materials are used, then the system has broad frequency coverage, but the weight increases considerably
Solution Approach 1:
The patent replaces extensive passive dampening materials with a lightweight active control system comprising sensors, a processor, and actuators. This system achieves broad bandwidth absorption through intelligent wave suppression rather than physical material coverage, dramatically reducing weight while maintaining or enhancing adaptability across frequency ranges.
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 achieves nearly total absorption of flexural waves across a broad bandwidth, particularly at low frequencies, without adding weight and is adaptable to structures of varying lengths, providing a model-free control unit for effective vibration suppression.
Implementation Method 1
a sensor connected to a beam... detect an incident wave propagating in the beam
Implementation Method 2
control an actuator connected to the beam to generate a suppression wave... that reduces a coefficient of reflection
Implementation Method 3
generate a suppression wave... that reduces a coefficient of reflection of the incident wave
Implementation Method 4
a neural network module including instructions that when executed by the processor cause the processor to control the actuator to generate a cancellation wave based on a feedback signal
Data Source
AI summary
A flexural wave absorption system detects, with a sensor attached to a beam, an incident wave propagating in the beam. The system determines, based on a signal from the sensor generated in response to the incident wave, an amplitude and phase of the incident wave propagating in the beam and controls an actuator connected to the beam to generate a suppression wave, based on the amplitude and the phase of the incident wave, that reduces a coefficient of reflection of the incident wave across a broadband frequency range.