Automated Hardness Testing with Virtual 3D Models
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Solution Overview
Problem
Current hardness testing devices require manual and time-consuming processes for programming and positioning, increasing the risk of collision between the tool holder and specimen, especially with samples having complex three-dimensional geometries.
Innovation Solution
The method involves storing virtual three-dimensional models of samples and sample holders in an electronic data memory, allowing for automatic positioning of the tool holder and optimization of the measurement path, using these models to assign z-coordinates along with x and y coordinates for each measuring point, and enabling automated determination and correction of measurement points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual programming and positioning methods are used, then the hardness testing device can operate, but the programming time is excessive and collision risk increases
Solution Approach 1:
The patent uses a camera to capture images of the sample and creates a digital representation (virtual model) of the sample geometry. This digital copy is then used to automatically determine measuring points and plan tool holder paths, replacing manual programming with automated image-based processing.
Solution Approach 2:
The patent replaces manual mechanical positioning and programming operations with automated computer-controlled systems. The control system automatically calculates measuring points based on captured images and generates optimized tool holder movement paths, eliminating the need for manual intervention.
2Ease of operation
If manual positioning is performed, then the operator can adjust positions, but the risk of collision between tool holder and sample increases
Solution Approach 1:
The patent creates a virtual model of the sample geometry from captured images and uses this digital representation to automatically plan the tool holder's movement path. This ensures the path is optimized to avoid collisions with the sample's three-dimensional geometry.
Solution Approach 2:
The patent uses a camera to capture images of the sample and feeds this visual information back to the control system. The control system processes these images to automatically determine safe measuring points and optimize tool holder paths, creating a closed-loop system that adapts to the actual sample geometry.
3Reliability
If automated path optimization is implemented, then collision risk is minimized, but the system complexity increases
Solution Approach 1:
The patent uses a relatively simple camera to capture sample images and creates a digital representation for automated processing. This approach avoids the need for complex mechanical sensors or sophisticated measurement systems while achieving automated collision avoidance.
Solution Approach 2:
The control system automatically processes the captured images, determines measuring points, and generates optimized tool holder paths without requiring external programming or manual intervention. The system serves itself by using its own captured visual data to guide its operations.
Data Source
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AI summary
Method and apparatus for defining one or more measuring points (13) on a sample (5r) in a sample holder (4r) for automated hardness testing in a hardness testing device (1), wherein the hardness testing device (1) comprises a table (2), a tool holder (3) with at least one indenter (11), and at least one lens (12). The sample holder (4r) with the sample (5r) is positionable on the table (2) in the x and y directions, and the table (2) and/or the tool holder (3) of the hardness testing device (1) is/are displaceable relative to each other in the z direction. A virtual, three-dimensional model (9) of the sample holder (4v) with a sample (5v) arranged thereon is selected from an electronic data storage device, and the model (9) and/or an overview image of the sample (5v, 5r) is displayed on a screen (7).Then a point (P) is marked on the display on the screen (7) and one or more measuring point(s) (13) are automatically defined based on the selected measurement method, whereby each measuring point (13) is automatically assigned the z-coordinate in the hardness testing device (1) based on its x, y coordinates and the virtual model (9).