Cutting Tool Gash Parameter Extraction via 3D Point Cloud Segmentation
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Solution Overview
Problem
Existing methods for extracting gash parameters of cutting tools are time-consuming, expensive, and less accurate, particularly when dealing with deep and steep gash features, as they often fail to retrieve all necessary data.
Innovation Solution
A method and system that involves positioning a cutting tool on a movable stage, scanning gash sections to generate point clouds, indexing and detecting features, projecting point clouds, identifying types, segmenting, and extracting gash parameters using a range sensor and controller to improve accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing parameter extraction methods are used for cutting tools with deep and steep gash features, then the process is simpler and less expensive, but the measurement precision and completeness of gash feature data retrieval deteriorates
Solution Approach 1:
The patent divides the gash feature scanning process into multiple sections (first gash section, second gash section, etc.) that are scanned separately. Each section is processed independently to extract gash parameters, ensuring complete data retrieval from deep and steep features while maintaining manageable system complexity through modular processing.
Solution Approach 2:
The patent employs a range sensor that captures three-dimensional point cloud data of the gash features, transitioning from traditional two-dimensional measurement approaches. This dimensional enhancement allows complete retrieval of gash feature geometry including deep and steep portions that would be inaccessible to conventional measurement methods.
2Productivity
If existing parameter extraction methods are used, then the equipment and process are simpler, but the extraction speed and efficiency deteriorates
Solution Approach 1:
The patent replaces traditional mechanical measurement systems with a range sensor that uses optical or electromagnetic fields to capture gash feature data. This substitution enables rapid three-dimensional scanning and accelerates the extraction of gash parameters while reducing the time required for complete feature characterization.
Solution Approach 2:
The patent transforms the measurement approach by changing from sequential point-by-point mechanical scanning to simultaneous multi-point optical/electromagnetic field-based scanning. This parameter change in the measurement methodology dramatically increases extraction speed while maintaining complete data acquisition from complex gash features.
3Measurement precision
If existing parameter extraction methods are used, then the setup is less complex, but the cost and accuracy deteriorates
Solution Approach 1:
The patent employs a range sensor that serves multiple functions: capturing three-dimensional point cloud data, identifying gash feature geometry, and extracting multiple gash parameters from different sections. This multi-functional approach achieves high measurement precision while avoiding the need for multiple specialized measurement devices, thereby maintaining ease of implementation.
Solution Approach 2:
The patent creates a digital point cloud copy of the physical gash features through range sensor scanning. This digital replica enables accurate parameter extraction without requiring physical contact or complex mechanical measurement setups, achieving high precision while simplifying the measurement system implementation.
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 approach enables more precise and efficient extraction of gash parameters, enhancing the accuracy and speed of chip flow and performance evaluation of cutting tools.
Implementation Method 1
scanning two or more gash sections of the cutting tool to generate two or more gash section scanning point clouds
Data Source
AI summary
A method for extracting gash parameters of a cutting tool, comprises positioning the cutting tool on a moveable stage, scanning two or more gash sections of the cutting tool to generate two or more gash section scanning point clouds, indexing multiple points of the gash section scanning point clouds, detecting multiple gash features using the indexed gash section scanning point clouds, projecting multiple point clouds of the gash features of the indexed gash section scanning point clouds to form one or more projected gash feature point clouds, identifying one or more types of the one or more projected gash feature point clouds, segmenting the one or more projected gash feature point clouds based on the type identification, and extracting one or more gash parameters based on the segmentation of the one or more projected gash feature point clouds. A system for extracting the parameters is also presented.