Robotic Coating Enclosure With 3D Part Selection for Faster Masking
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Solution Overview
Problem
The manual process of masking or applying coatings to parts is labor-intensive, requiring significant resources and skilled labor, leading to understaffing and increased costs, especially for complex parts where masking is difficult and time-consuming.
Innovation Solution
A robotic coating application system comprising a robot, a graphical user interface, and a scanner that generates a model of the part, allowing users to select areas for coating, with automatic application of coatings like maskant, adhesive, or paint, and featuring ultraviolet light curing capabilities within an enclosure.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual masking or coating processes are used, then skilled labor can be applied to handle complex parts, but labor costs increase and productivity decreases due to time-consuming operations
Solution Approach 1:
The patent replaces manual mechanical masking operations with an automated robotic coating system that uses computer-controlled spray applicators to deposit coating material directly onto specified areas of parts. The system substitutes human operators with robots guided by 3D models and automated control, eliminating manual labor while maintaining or improving coating precision through consistent, repeatable application patterns.
Solution Approach 2:
The system changes the operational parameters from manual control to automated control with precise positioning systems. The robotic arms can be programmed with exact movement paths, spray rates, and coating thickness parameters, allowing for consistent application quality while increasing throughput. The transition from human judgment and manual dexterity to programmable parameters enables higher productivity without sacrificing precision.
2Adaptability or versatility
If manual masking processes are used, then flexibility in handling different parts is maintained, but labor resources are significantly consumed and costs increase
Solution Approach 1:
The robotic coating system incorporates dynamic adaptability through programmable control that can be quickly reconfigured for different part geometries and coating requirements. The system uses 3D scanning and modeling capabilities to automatically adapt to various part shapes, and the robotic paths can be dynamically adjusted based on the specific features of each part, providing flexibility comparable to manual operations but with significantly reduced cycle times.
Solution Approach 2:
The system creates digital 3D models or scans of parts to serve as templates for automated coating application. These digital copies allow the system to learn and replicate the precise coating patterns needed for different part types, maintaining the adaptability of manual masking while eliminating the time-consuming aspects of manual operation. The digital model serves as a reusable template that can be rapidly applied to multiple parts.
3Reliability
If skilled labor is used for masking and plating, then quality can be maintained, but labor shortages occur and staffing becomes difficult
Solution Approach 1:
The robotic coating system is self-sufficient in performing the coating operation without requiring skilled human operators during execution. The system automatically positions the spray applicator, controls coating material flow, and monitors application quality based on pre-programmed parameters and real-time feedback from sensors. This self-service capability ensures consistent quality while eliminating dependency on skilled labor availability.
Solution Approach 2:
The system incorporates feedback mechanisms including sensors that monitor coating application in real-time, verifying that quality standards are met. The feedback loop allows the system to automatically adjust parameters such as spray rate, movement speed, and applicator positioning to maintain consistent coating quality. This closed-loop control ensures reliable quality output while simplifying operation, as the system self-corrects rather than requiring skilled human judgment.
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
Significantly reduces touch time for each part while maintaining precision and quality, addressing labor shortages and cost issues by automating the masking process, increasing throughput, and reducing the need for skilled labor.
Implementation Method 1
The enclosure or end effector may include ultraviolet light curing capabilities
Data Source
AI summary
The specification and drawings present a robotic coating application system and a method for coating at least one part with a robotic coating application system. The robotic coating application system may comprise an enclosure configured to receive at least one part. The robotic coating application system may further comprise at least one robot configured to operate at least partially within the enclosure. The robotic coating application system may also comprise a graphical user interface to display a model of the at least one part and allow a user to select a portion or subportion of the model for application of a coating. The coating may be automatically applied to the at least one part based upon, at least in part, the user-selected portion or subportion.