Adaptive Hole Processing Using Speed Sensing for Mixed Materials
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Solution Overview
Problem
Aerospace vehicle assembly requires efficient hole processing of diverse materials like composite, aluminum alloy, and titanium alloy, where existing pneumatic tools lack self-identification and adaptive processing parameters, leading to inefficiencies and reduced production efficiency due to material differences and varying thicknesses.
Innovation Solution
An automatic hole-processing method that monitors the rotate speed of pneumatic tools to adjust processing parameters in real-time, using a sensor to identify material types and adjust feed speeds and depths dynamically, ensuring optimal processing for laminated structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If different processing parameters are used for each material, then processing quality meets requirements, but programming and parameter setting becomes very tedious
Solution Approach 1:
The system automatically identifies the material type through sensor detection and autonomously selects appropriate processing parameters, eliminating the need for manual programming and parameter setting for each material. The processing apparatus serves itself by making intelligent decisions based on detected material characteristics.
Solution Approach 2:
The system changes processing parameters (such as feed rate, spindle speed, depth of cut) based on detected material type and thickness. Different parameter sets are automatically applied for different materials (composite, aluminum alloy, titanium alloy, high-strength steel) to optimize processing quality for each material type.
2Manufacturing precision
If all materials use the same processing parameter with lowest feed speed, then processing quality meets requirements for all materials, but production efficiency is reduced
Solution Approach 1:
The system dynamically adjusts processing parameters based on the detected material type and thickness. For easier-to-process materials like aluminum alloy, higher feed speeds are used, while for harder materials like titanium alloy or composite, lower feed speeds are applied. This optimization significantly improves production efficiency while maintaining processing quality.
Solution Approach 2:
The processing parameters are made dynamic rather than static. The system continuously monitors material characteristics and adjusts parameters in real-time during processing, allowing optimal parameters to be applied for each specific material and thickness combination, thereby maximizing productivity.
3Manufacturing precision
If different hole processing depth is set for each processing position, then processing is optimized for each position, but programming and parameter setting becomes very tedious
Solution Approach 1:
The system automatically detects the material thickness at each processing position using sensors and autonomously determines the appropriate hole processing depth. This self-service capability eliminates the need for manual programming of different depths for each position, reducing setup complexity while maintaining optimal processing for each location.
Solution Approach 2:
The system performs preliminary detection of material thickness at each position before processing begins. Based on this advance information, it pre-configures the appropriate processing depth for each position, allowing optimized processing without the tedium of manual parameter setting for each location.
4Manufacturing precision
If same hole processing depth is set for all positions, then all positions are processed thoroughly, but processing time is wasted on positions with smaller thickness
Solution Approach 1:
The system changes the hole processing depth parameter based on the detected material thickness at each position. For thinner sections, smaller processing depths are used, reducing unnecessary processing time. For thicker sections, appropriate deeper processing is applied to ensure thorough processing. This dynamic parameter adjustment eliminates time waste while maintaining processing quality.
5Manufacturing precision
If total stroke is increased to account for errors, then processing thoroughness is ensured, but feed idle stroke increases and reduces production efficiency
Solution Approach 1:
The system uses sensor feedback to detect the actual material thickness and position in real-time during processing. Based on this feedback, it dynamically adjusts the processing stroke and depth, eliminating the need to add excessive safety margins. This feedback mechanism ensures processing thoroughness while minimizing idle stroke and maintaining high production efficiency.
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 method simplifies the hole-processing operation, reduces processing time, and improves production efficiency by automatically adapting to different materials and thicknesses, minimizing waste and ensuring high-quality hole processing.
Implementation Method 1
monitoring the rotate speed of the tool driving device by using a sensor; if the rotate speed of the driving device changes
Data Source
AI summary
Disclosed is an automatic hole-processing method with self-adapting adjustment of processing parameters, including the following steps: performing tool feeding, detecting whether the rotate speed changes or not, if changes, judging the type of the processing material according to the new rotate speed after stabilization (if not, the tool feeding is continued); feeding the tool according to the processing parameters suitable for the material, detecting whether the rotate speed changes or not, if changes, judging whether the hole processing has been completed or not according to the new rotate speed after stabilization (if not, the tool feeding is continued), if completed, retracting the tool with the set parameters (if not, judging the type of the processing material according to the new rotate speed after stabilization, and repeating the above steps), completing the hole processing. During the hole processing in the present disclosure, there is no need to know the type of workpiece material of each processing hole in advance and to set processing parameters for each material respectively; there is no need for axial tool setting, processing parameters can be changed automatically after the tool contacts the workpiece; there is no need to know the total thickness of each processing hole material in advance and to set the feed stokes respectively, after cutting through the workpiece, the tool automatically identifies and begins to retract.