17983761. METHOD AND SYSTEM FOR SUPPORTING MOLD DESGION OF VEHICLE BODY PANEL simplified abstract (Kia Corporation)
METHOD AND SYSTEM FOR SUPPORTING MOLD DESGION OF VEHICLE BODY PANEL
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METHOD AND SYSTEM FOR SUPPORTING MOLD DESGION OF VEHICLE BODY PANEL - A simplified explanation of the abstract
This abstract first appeared for US patent application 17983761 titled 'METHOD AND SYSTEM FOR SUPPORTING MOLD DESGION OF VEHICLE BODY PANEL
Simplified Explanation
The present disclosure describes a method and system for supporting the design of molds for vehicle body panels. The method involves generating a 2D image called a target depth map from 3D target design data of a vehicle body panel. This target depth map is then inputted into an artificial neural network prediction model to obtain correction value data for the mold design. The correction value data is then visualized and displayed to aid in the mold design process.
- Method for supporting mold design of vehicle body panels
- Generates a 2D target depth map from 3D target design data
- Uses an artificial neural network prediction model to obtain correction value data for mold design
- Visualizes and displays the correction value data for mold design
Potential Applications
- Automotive industry for designing molds for vehicle body panels
- Manufacturing industry for improving the efficiency and accuracy of mold design processes
Problems Solved
- Simplifies the mold design process for vehicle body panels
- Reduces the time and effort required for mold design
- Improves the accuracy and precision of mold design
Benefits
- Streamlines the mold design process, leading to cost and time savings
- Enhances the accuracy and quality of mold designs
- Enables visualization and display of correction value data for better decision-making in mold design
Original Abstract Submitted
The present disclosure relates to a method for supporting a mold design of a vehicle body panel and a system for performing the same. A method for supporting a mold design according to an exemplary embodiment may include: generating a target depth map (a depth map), which is a 2D image, from target design data of a target vehicle body panel, which is a 3D image; inputting the target depth map to a prediction model of an artificial neural network structure to obtain a correction value data for mold design for designing mold data from the target design data; and visualizing and displaying a correction value data for the mold design.
