Welded Multipart Assembly FE Modeling for Deformation Prediction

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Solution Overview

Problem

Geometric distortions in multipart assemblies during welding processes are typically detected late and require complex thermomechanically coupled models, making it difficult to predict and prevent deformations efficiently.

Innovation Solution

A device and method using a finite element (FE) model to predict and reduce deformations by simulating the contraction of weld seams between components, without requiring thermomechanical models or data on welding processes, by inducing a spatial contraction of FE models to simulate the effects on components and adapt the design to minimize deformations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If complex thermomechanically coupled models are used to predict deformations, then prediction accuracy is improved, but computational complexity and resource requirements increase

Engineering Contradiction:
Improvedeformation prediction accuracyVSAvoidmodel complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The complex thermomechanical model is segmented into separate thermal model and mechanical model components that can be executed independently. The thermal model calculates temperature distributions while the mechanical model calculates deformations, allowing each to be optimized separately and reducing overall computational complexity while maintaining prediction accuracy.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Thermal pre-calculations are performed before the main deformation prediction. Temperature distributions and thermal histories are computed in advance and stored for reuse across multiple deformation scenarios, eliminating redundant thermal computations and significantly reducing total calculation time and resource requirements.

Inventive Principle:
Principle #10Preliminary action

2Difficulty of detecting and measuring

If deformations are detected using traditional methods, then detection capability is achieved, but detection timing is delayed to late stages of development

Engineering Contradiction:
Improvedeformation detection capabilityVSAvoiddetection timing
Core Design Contradiction:
Difficulty of detecting and measuringVSLoss of time

Solution Approach 1:

The system performs deformation predictions during the design and planning phases, before physical prototypes are built or welding processes are executed. By calculating expected deformations using the segmented thermomechanical models, potential issues are identified early, allowing design modifications to be made before costly physical iterations are required.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

Virtual models and simulations of the assembly and welding processes are created and analyzed before physical manufacturing. These digital twins allow deformation detection and optimization in the virtual domain, eliminating the need for multiple physical prototypes and late-stage detection.

Inventive Principle:
Principle #26Copying

3Manufacturing precision

If iterative adaptation of FE models is performed to reduce deformations, then assembly quality is improved, but computational time increases

Engineering Contradiction:
Improveassembly qualityVSAvoidoptimization time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

Design modifications and compensation measures are determined through iterative virtual optimization before manufacturing. The segmented models allow rapid evaluation of different design variants, and optimal solutions are identified in the simulation phase, reducing the need for iterative physical prototyping and testing.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system efficiently explores different design parameters, material properties, and welding conditions by modifying model inputs and re-running calculations. The segmented architecture allows selective re-computation only when specific parameters change, significantly reducing the time penalty of iterative optimization compared to full thermomechanical re-simulations.

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach allows for early detection and reduction of deformations, reducing production costs and improving assembly quality by iteratively adapting the FE model to achieve optimized designs with minimal deformations.

Implementation Method 1

simulating the contraction of weld seams between components... by inducing a spatial contraction of FE models to simulate the effects on components

Methodology Applied
Scientific EffectThermal contraction: Thermal Contraction

Data Source

PatentUS20220318461A1Method and Device for Predicting and/or Reducing the Deformation of a Multipart Assembly
Publication Date: 2022.10.06 BAYERISCHE MOTOREN WERKE AG
  • US20220318461A1 patent drawing
  • US20220318461A1 patent drawing

AI summary

An apparatus for predicting and/or reducing a deformation of an assembly brought about during production of a weld seam that connects a first component and a second component of the assembly includes a device that is configured to determine and/or provide a finite element (FE) model of the assembly where the FE model includes a set of FEs for the weld seam and a set of FEs for the first component and the second component. The device is further configured to induce a spatial contraction of the set of FEs for the weld seam, determine an effect of the spatial contraction on the set of FEs for the first component and/or the second component, and predict a spatial deformation of the first component and/or of the second component on a basis of the effect on the set of FEs for the first component and/or the second component.