Robotic Plasma Cutting With Vision-Based Vehicle Frame Positioning
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Solution Overview
Problem
Current robotic cutting and inspection systems for vehicle frames lack the precision and flexibility to efficiently cut holes and inspect vehicle frames during manufacturing, particularly for medium to low volume production.
Innovation Solution
A vehicle frame inspection and cutting system that includes a frame moving device, an inspection robot with cameras, a cutting robot with identifiers and a control module that determines the pose of the vehicle frame and positions the cutting tool accurately to cut holes using plasma, laser, or water jet cutting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If traditional robotic cutting systems are used, then cutting operations can be performed, but the precision and flexibility for medium to low volume production is insufficient
Solution Approach 1:
The system employs dynamic positioning where the cutting robot's target location is determined in real-time based on the detected pose of the vehicle frame. The control module continuously adjusts the cutting robot's position and orientation based on feedback from the inspection robot, enabling high precision cutting while adapting to variations in frame positioning for medium to low volume production.
Solution Approach 2:
The system changes operational parameters dynamically by adjusting the cutting robot's six-degree-of-freedom pose based on the detected frame pose. The control module modifies positioning parameters, cutting tool orientation, and target location coordinates in real-time, allowing the system to maintain high precision across different production volumes and frame configurations.
2Measurement precision
If multiple cameras and robots are integrated, then inspection and cutting accuracy improve, but system complexity increases
Solution Approach 1:
The control module serves multiple functions by integrating both inspection data processing and cutting robot control capabilities. The inspection robot with its camera system performs both positioning verification and quality inspection functions. This multi-functionality reduces the need for separate dedicated systems, managing complexity while maintaining high measurement precision.
Solution Approach 2:
The control module acts as an intermediary that coordinates between the inspection robot, the cutting robot, and the pose determination algorithms. It processes data from the camera system, determines the frame pose, and translates this information into precise cutting robot positioning commands, simplifying the interaction between multiple complex components.
3Productivity
If real-time pose determination and cutting are implemented, then manufacturing efficiency improves, but control system complexity increases
Solution Approach 1:
The system performs preliminary pose determination of the vehicle frame using the inspection robot and camera system before the cutting operation begins. The control module calculates the six-degree-of-freedom pose and determines the precise target location in advance, allowing the cutting robot to be positioned accurately before cutting starts. This preliminary action streamlines the manufacturing process while managing control complexity through pre-computation.
Solution Approach 2:
The system implements a feedback loop where the inspection robot detects the actual pose of the vehicle frame, the control module compares this with the expected pose, and adjusts the cutting robot's positioning accordingly. This real-time feedback ensures high manufacturing efficiency by eliminating repositioning errors while the control system manages complexity through automated closed-loop control.
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
The system achieves precise cutting and inspection of vehicle frames, enhancing manufacturing flexibility and quality, particularly for medium to low volume production by accurately determining target locations and characteristics of holes to be cut.
Implementation Method 1
a first camera configured to capture first images of a side of the vehicle frame; a second camera disposed vertically above the frame moving device, the inspection robot, and the cutting robot and configured to capture second images vertically downwardly
Implementation Method 2
The cutting tool is configured to cut holes using one of plasma cutting, laser cutting, and water jet cutting.
Implementation Method 3
The cutting tool is configured to cut holes using one of plasma cutting, laser cutting, and water jet cutting.
Data Source
AI summary
A vehicle frame inspection and cutting system includes: a frame moving device configured to support a vehicle frame and to transport the vehicle frame; an inspection robot including a first camera configured to capture first images of a side of the vehicle frame; a cutting robot configured to cut holes through vehicle frames and including an identifier disposed on an outer surface of the cutting robot; a second camera disposed vertically above the frame moving device, the inspection robot, and the cutting robot and configured to capture second images vertically downwardly; a control module configured to, based on the first images and the second images: move and actuate the cutting robot and position a cutting tool of the cutting robot at a target location on the vehicle frame; and cut a hole through the vehicle frame at the target location.