Vibration Noise Mapping Using Robotic Arm and Acoustic Excitation
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Solution Overview
Problem
Current methods for measuring and improving vibration and acoustic performance of engine and powertrain components are time-consuming and labor-intensive, often requiring manual relocation of sensors and limited data input channels, which hinders quick identification of problematic areas and orientation vectors of vibration and noise.
Innovation Solution
A vibration and noise mapping system utilizing a mobile robotic arm with vibration and acoustic measurement units, contactless acoustic excitation, and geometric scanning to perform automatic tri-directional measurements, generate maps, and determine optimal excitation points, enabling quick identification of areas needing improvement and vectorial orientation analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual sensor relocation and repeated measurements are performed to identify vibration and noise sources, then measurement coverage is improved, but measurement time and labor intensity increase significantly
Solution Approach 1:
The system uses automatic sensor relocation and automated measurement execution, where the measurement system itself performs the tasks previously requiring manual intervention. The control unit automatically relocates sensors based on measurement results and executes repeated measurements without human intervention, resolving the contradiction between comprehensive measurement coverage and time consumption.
Solution Approach 2:
The patent replaces manual mechanical sensor relocation with an automated control system that uses algorithms to determine optimal sensor positions and automatically relocates sensors. This substitution of manual mechanical operations with an automated control system significantly reduces measurement time while maintaining or improving measurement accuracy.
2Measurement precision
If multiple accelerometers and near field microphones are used to cover different locations, then measurement completeness is improved, but device complexity and cost increase
Solution Approach 1:
The system dynamically relocates sensors based on measurement results rather than using a fixed large array of sensors. The control unit analyzes measurement data and automatically determines the next optimal sensor positions, allowing the system to achieve comprehensive measurement coverage with fewer sensors by adapting their positions dynamically throughout the measurement process.
Solution Approach 2:
The system performs preliminary measurements to identify problem areas, then relocates sensors to those specific areas for follow-up measurements. This staged approach allows the system to achieve complete measurement coverage by focusing sensors on relevant areas rather than distributing them uniformly across all possible locations from the start.
3Measurement precision
If sensors are relocated manually when vibration and noise sources cannot be identified, then source identification capability is improved, but labor intensity and measurement duration increase
Solution Approach 1:
The control unit automatically analyzes measurement results and determines whether source identification is successful. When sources cannot be identified, the system automatically relocates sensors to new positions and performs repeated measurements without requiring manual intervention. This self-service capability maintains source identification capability while dramatically improving ease of operation by eliminating manual sensor relocation.
4Measurement precision
If repeated measurements are performed after sensor relocation, then measurement accuracy is improved, but data acquisition and processing time increase
Solution Approach 1:
The patent replaces manual data acquisition and processing operations with an automated control system that continuously acquires and processes measurement data. The control unit automatically manages the workflow between sensor relocation and data processing, optimizing the sequence and timing of operations to maintain measurement accuracy while improving overall productivity through automation.
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 system allows for rapid and automated vibration and noise mapping, reducing manual labor and measurement time, enabling quick identification of problematic areas and improving vibration and acoustic performance by performing contactless and automatic tri-directional measurements with vectorial orientation analysis.
Implementation Method 1
at least one vibration measurement unit (3) which is adapted to measure the vibrations created on the test object (O) such as engine and powertrain in three axes
Implementation Method 2
at least one acoustic measurement unit (5) which is adapted to measure particle speed, sound pressure in three directions
Implementation Method 3
at least one contactless acoustic excitation unit (6) which enables contactless excitation of the required points on the test object
Data Source
AI summary
The present invention relates to a vibration and noise mapping system and method, which enables to generate the vibration and noise maps of the vibration and noise sources, and to determine areas, the vibration and acoustic performance of which are needed to be improved, and/or the problematic areas quickly.