Virtual Machining Models for Machined Part Variation Prediction

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Solution Overview

Problem

Current design optimization methods rely on operator experience and assumptions, leading to manufacturing challenges and additional costs, especially for new designs with unmanufactured features, as they fail to accurately predict machined part variations.

Innovation Solution

A method using virtual machining to predict machined part variations by receiving computerized specifications and tooling specifications, including machine capability information, and producing variations to observe and predict how tooling reacts to future instructions and changes, thereby improving design optimization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If assumptions are made based on operator experience and knowledge for design optimization, then the design process is simple and fast, but the manufacturing precision and reliability of new designs with unmanufactured features deteriorate

Engineering Contradiction:
Improveprediction accuracy of machined part variationsVSAvoidcomplexity of prediction method
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent applies preliminary action by creating a virtual model of the machining process before actual manufacturing. The virtual machining system simulates various machining scenarios and predicts part variations in advance, allowing designers to identify and correct potential issues before physical production begins. This preliminary virtual experimentation enables accurate prediction of machined part variations without relying on operator experience assumptions.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent uses copying by creating a virtual copy of the machining process and part geometry. Instead of physically manufacturing multiple test parts to understand variations, the system creates a digital twin that replicates the machining behavior. This virtual copy allows repeated experimentation with different machining parameters and tooling configurations without consuming physical resources, thereby achieving high prediction accuracy while maintaining low complexity.

Inventive Principle:
Principle #26Copying

2Manufacturing precision

If virtual machining is used to predict part variations, then manufacturing precision and ability to handle new designs improve, but computational requirements and processing time increase

Engineering Contradiction:
Improveprediction accuracy of machined part variationsVSAvoidcomputational processing time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

The system performs preliminary virtual machining simulations to establish baseline variation patterns for specific part geometries and machining operations. These preliminary results are stored and can be reused for similar designs, avoiding the need to run complete simulations from scratch for each new design. This approach maintains high prediction accuracy while significantly reducing computational processing time for iterative design optimizations.

Inventive Principle:
Principle #10Preliminary action

3Ease of manufacture

If traditional design optimization methods are used, then development costs are lower, but manufacturing challenges and additional costs arise for new designs with unmanufactured features

Engineering Contradiction:
Improvemanufacturability of new designsVSAvoidadditional manufacturing costs
Core Design Contradiction:
Ease of manufactureVSQuantity of substance

Solution Approach 1:

The virtual machining system performs preliminary assessment of manufacturability during the design phase by simulating the machining process and identifying potential manufacturing challenges before physical production begins. This allows design modifications to be made in the virtual environment where changes are inexpensive, rather than discovering manufacturing issues during actual production that would require costly rework or tooling changes.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system provides feedback on predicted part variations and manufacturing challenges back to the design process. By analyzing virtual machining results, the system identifies features that may be difficult to manufacture or produce excessive variations, and feeds this information back to designers for optimization. This feedback loop enables proactive resolution of manufacturing issues, improving ease of manufacture and reducing additional manufacturing costs for new designs.

Inventive Principle:
Principle #23Feedback

Data Source

PatentEP4109186A1Method to predict machined part variation for design optimization
Publication Date: 2022.12.28 RTX CORP
  • EP4109186A1 patent drawingFigure 1
  • EP4109186A1 patent drawingFigure 2
  • EP4109186A1 patent drawingFigure 3

AI summary

A method of predicting machined part variations for design optimization is provided. The method includes receiving computerized specifications for a part and tooling specifications for tooling used for building the part, producing the part using virtual machining based on the computerized and the tooling specifications and producing variations of the part using the virtual machining based on the computerized and the tooling specifications and based on variations of at least some of the tooling specifications.