Automatic Sheet-Metal Bulge Tool Detection via Fourier Analysis

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Solution Overview

Problem

Current methods for determining the tool required for three-dimensional shaping in sheet-metal parts are manual and time-consuming, requiring manual input of tool data into Computer Aided Manufacturing (CAM) systems, which is inefficient and labor-intensive.

Innovation Solution

The system automatically detects three-dimensional shaping in sheet-metal parts by generating horizontal and vertical cuts through a three-dimensional model, applying Fourier transformations to obtain transformation coefficients, and using an allocation table to identify the corresponding tool data, thereby eliminating the need for manual input of tool data into CAM systems.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If manual input of tool data is used, then tool information can be entered into CAM systems, but the process is time-consuming and labor-intensive

Engineering Contradiction:
Improvetool identification efficiencyVSAvoidmanual data input time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system automatically detects three-dimensional shaping features from the three-dimensional model and self-determines the required tool data without human intervention. The computing unit performs automatic analysis of the bulge geometry and retrieves corresponding tool information from the allocation table, making the system self-sufficient in tool identification tasks.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The manual mechanical process of data input is replaced by an automated computational system. The computing unit uses algorithms to analyze the three-dimensional model, perform Fourier transformations on cross-sectional contours, and automatically match tool data, substituting human manual operations with automated computational processes.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Extent of automation

If automatic detection is implemented, then tool data can be determined automatically, but the system complexity increases

Engineering Contradiction:
Improveautomatic tool identificationVSAvoiddetection system complexity
Core Design Contradiction:
Extent of automationVSDevice complexity

Solution Approach 1:

The allocation table serves as an intermediary between the geometric analysis and tool selection. The computing unit analyzes the bulge geometry, transforms it into Fourier coefficients, and uses these coefficients to query the allocation table which contains pre-stored tool data. This intermediary structure simplifies the automation process by decoupling the complex analysis from the tool selection logic.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system transforms the geometric parameters of the bulge into Fourier transformation coefficients, which serve as a simplified parameter set for tool identification. By changing the parameter representation from complex three-dimensional geometry to a standardized coefficient set, the system enables automatic tool matching without requiring complex geometric comparison algorithms.

Inventive Principle:
Principle #35Parameter changes

3Measurement precision

If Fourier transformation is applied to cross-sectional contours, then tool data can be accurately determined, but the computational effort increases

Engineering Contradiction:
Improveshaping detection accuracyVSAvoidcomputational processing power
Core Design Contradiction:
Measurement precisionVSPower

Solution Approach 1:

The three-dimensional bulge is segmented into two-dimensional cross-sectional contours through horizontal and vertical cuts. The computing unit generates these cross-sections and applies Fourier transformation only to the two-dimensional contour data rather than the entire three-dimensional model. This segmentation reduces the computational complexity while maintaining the essential geometric features needed for accurate tool identification.

Inventive Principle:
Principle #1Segmentation

Data Source

PatentUS10133259B2System and method for detecting shaping
Publication Date: 2018.11.20 TRUMPF WERKZEUGMASCHINEN GMBH & CO KG
  • US10133259B2 patent drawing
  • US10133259B2 patent drawing
  • US10133259B2 patent drawing

AI summary

This disclosure relates to systems and methods for automatically detecting three-dimensional shaping in a three-dimensional model of a sheet-metal part. Therein, data of a three-dimensional model of the sheet-metal part, which extends in a plane spanned by a first direction and a second direction, is detected, wherein the sheet-metal part comprises a bulge in a third direction which is different from the first and the second directions. Then, a horizontal cut is made through the bulge, as well as a vertical cut perpendicular to the plane spanned by the directions, so that closed cross-sectional contours of the bulge are formed. After a transformation, e.g., a Fourier transformation, of the cross-sectional contours, a tool that produces the bulge can be allocated to the Fourier coefficients.