Workpiece Alignment Simulation for Machining Efficiency

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Solution Overview

Problem

Existing methods for determining the optimal alignment of a workpiece for machining are time-consuming and do not achieve maximum time savings, as they rely on manual experimentation.

Innovation Solution

A method that uses a control unit to simulate different workpiece alignments by calculating and evaluating control commands for drive means, optimizing process variables such as the ratio of operating times of tool movement axes, allowing for efficient selection of alignments that minimize downtime and maximize processing speed.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If manual experimentation is used to determine workpiece alignment angle, then the alignment can be determined, but the process is time-consuming and does not achieve maximum time savings

Engineering Contradiction:
Improvetime for determining alignmentVSAvoidoperational simplicity
Core Design Contradiction:
Loss of timeVSEase of operation

Solution Approach 1:

The patent replaces manual mechanical experimentation with a computer-based simulation system. The control unit simulates different workpiece alignments and evaluates process variables to automatically determine the optimal alignment angle, eliminating time-consuming manual trial-and-error while maintaining ease of operation through automated software execution

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

Solution Approach 2:

The patent performs preliminary simulation and evaluation of different alignment options before actual machining begins. By pre-calculating the optimal alignment angle through virtual experimentation and storing the results, the system eliminates the need for time-consuming on-site adjustments and ensures maximum processing speed from the start

Inventive Principle:
Principle #10Preliminary action

2Productivity

If multiple alignments are evaluated to find optimal alignment, then machining efficiency is improved, but computational effort and hardware requirements increase

Engineering Contradiction:
Improvemachining efficiencyVSAvoidhardware requirements
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent utilizes the existing control unit of the production machine to perform multiple functions: it not only controls the machining process but also simulates different workpiece alignments and evaluates process variables. This multi-functional approach allows comprehensive alignment optimization without adding specialized hardware, maintaining simplicity while improving productivity

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent systematically varies alignment parameters (rotation angles, positioning coordinates) in the simulation to evaluate their impact on process variables. By changing these parameters virtually and identifying the optimal combination that maximizes machining efficiency, the system achieves high productivity without requiring complex hardware modifications

Inventive Principle:
Principle #35Parameter changes

Data Source

PatentEP3300521B1Alignment method for workpieces
Publication Date: 2019.12.04 SIEMENS AG
  • EP3300521B1 patent drawingFigure 1
  • EP3300521B1 patent drawingFigure 2
  • EP3300521B1 patent drawingFigure 3

AI summary

The invention relates to a method (100) for orientation of a workpiece (20) to be processed, comprising the steps of: a) providing a processing path (27) fixed on the workpiece for processing the workpiece (20); b) selecting a rigid transformation (30) of the positioning of the workpiece (20); c) simulating the processing path (27) taking account of the rigid transformation (30) of the positioning of the workpiece (20); d) determining at least one process variable (40) of the machining of the workpiece (20); wherein the steps b) to d) are repeated by modifying the at least one rigid transformation (30) of the positioning of the workpiece (20) until the at least one process variable (40) reaches a target value (43).