CNC Surface Mapping for Precise 3D Object Machining
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Solution Overview
Problem
Existing CNC machines lack the capability to accurately measure and machine complex, three-dimensional objects with precision, particularly when differentiating between machined and non-machined areas, leading to inefficiencies and increased computational load.
Innovation Solution
A CNC machine system that includes a detector, light source, rail device, memory, and processor to acquire spatial locations of measuring points, establish mapping relationships, and perform machining based on these relationships, using methods such as emitting light beams to form irradiation points and capturing pixel locations to determine precise spatial locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional CNC machines process complex three-dimensional objects, then machining capability is provided, but measurement precision and differentiation between machined and non-machined areas deteriorates
Solution Approach 1:
The patent segments the measurement and machining processes by introducing separate functional modules: a detector module for capturing spatial locations of measuring points, a processor module for establishing mapping relationships, and a machining module for executing operations. This segmentation enables precise measurement of complex three-dimensional objects while maintaining manageable system complexity through modular architecture.
Solution Approach 2:
The patent introduces mapping relationships as an intermediary between measurement data and machining operations. The processor establishes mapping relationships between measuring points and their corresponding spatial locations, serving as a mediator that translates detector measurements into actionable machining information, thereby improving measurement precision without directly increasing machining device complexity.
2Manufacturing precision
If traditional CNC machines process complex three-dimensional objects, then machining capability is provided, but computational load increases
Solution Approach 1:
The patent performs preliminary action by pre-establishing mapping relationships between measuring points and spatial locations before the actual machining operation. The processor creates these mapping relationships in advance based on detector measurements, allowing the machining module to execute operations with reduced real-time computational requirements, thereby maintaining manufacturing precision while reducing computational energy consumption during machining.
Solution Approach 2:
The patent creates a digital copy or representation of the object's surface geometry through the mapping relationships between measuring points and spatial locations. This digital model serves as a virtual replica that can be processed computationally without requiring intensive real-time calculations during actual machining, thus reducing computational load while preserving manufacturing precision.
3Measurement precision
If detector and light source are added to CNC machine, then measurement precision improves, but device complexity increases
Solution Approach 1:
The patent implements universality by designing the detector and light source as multi-functional components that serve both measurement and positioning functions. The detector not only captures spatial locations but also works in conjunction with the light source to illuminate and highlight features on the workpiece surface, enabling multiple functions from added components and reducing the need for separate dedicated devices, thereby limiting the increase in overall device complexity.
Solution Approach 2:
The patent merges the detector, light source, and processing functions into an integrated system where these components work together as a unified measurement and control unit. By combining these functions rather than adding them as separate independent systems, the patent improves measurement precision while minimizing the increase in device complexity through functional integration.
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
Enables accurate and efficient machining of complex objects by reducing computational load and improving measurement precision, allowing for differentiated measurement between machined and non-machined areas.
Implementation Method 1
a light source configured to emit light beams to a machined object to form irradiation points
Implementation Method 2
a detector configured to capture pixel locations of the irradiation points to obtain spatial locations of measuring points of the machined object
Data Source
AI summary
The present application provides a computer numerical control (CNC) machine, a machining method and a device thereof. The method includes: acquiring spatial locations of measuring points for a machined object; establishing mapping relationships between the measuring points according to the spatial locations of the measuring points; and matching the mapping relationships according to a target processing graphic and carrying out machining of the target processing graphic on the machined object.


