Digital CNC Machine Model for Part Quality and Error Analysis
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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 and poor part quality due to isolated optimization of sub-processes, machine wear, and lack of in-process quality measurement.
Innovation Solution
A computer-implemented method using a digital machine model to record and simulate CNC machining processes, incorporating real-time and non-real-time data for quality analysis and error identification, enabling immediate feedback on part quality and process diagnostics.
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 combines geometric, kinematic, and dynamic characteristics to simulate the entire manufacturing process chain, allowing all sub-processes to be optimized together rather than individually, thus resolving the contradiction between sub-process efficiency and overall process quality.
Solution Approach 2:
The digital machine model serves multiple functions simultaneously: it acts as a virtual CNC machine for machining simulation, a measurement system for quality assessment, and an analysis tool for process optimization. This multi-functionality allows the system to maintain high efficiency across all sub-processes while ensuring overall process quality through integrated simulation and evaluation.
2Reliability
If trial-and-error approach is used for process optimization, then error identification is possible, but time consumption and cost increase significantly
Solution Approach 1:
The patent performs preliminary simulation and error detection in the virtual digital environment before actual machining occurs. By predicting quality issues, machine wear, and process errors in advance through the digital machine model, the system eliminates the need for time-consuming trial-and-error approaches in physical production, thus improving reliability while reducing time loss.
Solution Approach 2:
The patent creates a virtual copy (digital twin) of the physical CNC machine that replicates its geometric, kinematic, and dynamic characteristics. This digital copy allows for error identification and process optimization in the virtual realm, preventing errors before they occur in physical production, thereby achieving reliable error detection without time-consuming physical trials.
3Adaptability or versatility
If machine is used for programming and production, then versatility is maintained, but productivity decreases due to dual functionality
Solution Approach 1:
The patent creates a virtual copy of the CNC machine for programming and simulation purposes. This digital replica handles all programming, simulation, and optimization tasks, allowing the physical machine to be dedicated solely to production. This separation maintains full versatility through the digital model while maximizing productivity of the physical machine by eliminating non-production activities.
Solution Approach 2:
The patent segments the machine's functionality by separating programming/simulation tasks (performed in the digital virtual machine) from production tasks (performed on the physical CNC machine). This segmentation allows each component to be optimized for its specific function, maintaining overall versatility while improving production efficiency by preventing the physical machine from being idle during programming and simulation activities.
4Manufacturing precision
If in-process quality measurement is implemented, then quality control is improved, but device complexity increases
Solution Approach 1:
The patent uses the digital machine model as a virtual measurement system that replicates the physical measurement capabilities. Instead of adding complex physical measurement devices to the CNC machine, the system performs quality assessment through simulation in the digital environment, achieving improved quality control without increasing physical device complexity.
Solution Approach 2:
The patent replaces physical measurement systems with a virtual simulation-based measurement approach. The digital machine model uses computational methods to assess quality parameters instead of mechanical measurement devices, thereby achieving improved quality control while reducing device complexity by eliminating or minimizing physical measurement hardware.
Data Source
AI summary
One or more aspects of the present invention relate to 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 these aspects, the method may include 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.