CNC Part Analytics Using Digital Machine Models for Error Detection
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Solution Overview
Problem
Current CNC machining processes lack a systematic approach for error analysis and elimination across the entire process chain, leading to inefficiencies, high costs, and poor part quality due to isolated optimization of sub-processes without consideration for subsequent steps, resulting in time-consuming trial-and-error methods and limited real-time data recording capabilities.
Innovation Solution
A computer-implemented method that records real-time and non-real-time data from CNC machines during machining processes and uses digital machine models to simulate the machining process, enabling analysis of workpiece quality and identifying issues related to machine and process problems, with data contextualization and pre-processing for cloud-based analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If sub-processes are optimized individually, then each sub-process efficiency is improved, but the overall process quality deteriorates due to lack of integration
Solution Approach 1:
The patent merges multiple isolated sub-processes (CAD, CAM, CNC machining, quality control) into an integrated digital simulation environment. The digital machine model receives data from CAD/CAM systems and simulates the entire machining process chain, allowing optimization considerations to flow through all sub-processes systematically rather than in isolation.
Solution Approach 2:
The simulation system provides feedback by comparing simulated machining results with target specifications. This feedback loop identifies errors and quality issues early in the design phase, allowing adjustments to be made before actual machining begins, thereby improving overall process quality while maintaining sub-process efficiency.
2Reliability
If trial-and-error methods are used for error identification, then comprehensive error detection is achieved, but time consumption increases significantly
Solution Approach 1:
The patent performs preliminary error detection through digital simulation before actual machining begins. The system simulates the machining process, predicts potential quality issues and errors, and allows for corrective actions to be taken in the virtual environment. This preliminary action eliminates the need for time-consuming trial-and-error methods during actual production.
Solution Approach 2:
The system creates a digital copy (virtual model) of the machining process that can be analyzed and tested without consuming physical resources or time. By working with this digital replica, comprehensive error detection is achieved instantly through simulation rather than through iterative physical trials.
3Loss of information
If real-time data recording is implemented, then process transparency is improved, but data processing complexity increases
Solution Approach 1:
The patent introduces a digital machine model as an intermediary that receives raw process data from CNC systems and transforms it into meaningful simulation results. This intermediary layer processes and contextualizes data automatically, providing process transparency through visual simulation while shielding users from the underlying data processing complexity.
Data Source
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Figure 3a~3b
AI summary
The present invention relates a computer- implemented method for part analytics, in particular for analyzing the quality, the machining process and preferably the engineering process, of a workpiece machined by at least one CNC machine. According to the invention, the method comprise providing a digital machine model of the CNC machine with realtime and non-realtime process data of the at least one CNC machine, the realtime and non-realtime process data being recorded during the machining process of the workpiece under consideration; and subsequently simulating the machining process under consideration by means of the digital machine model based at least partially on the recorded realtime and non-realtime process data.