Parametric Vehicle Model Skeletons for Design Accuracy

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Solution Overview

Problem

Existing parametric modeling methods for vehicle design face challenges in balancing flexibility and accuracy, leading to complexity and errors during design changes, especially in early conceptual stages where limited and changing design information complicates engineering decisions.

Innovation Solution

A parametric modeling method utilizing two skeletons - a generic skeleton for positioning components and a design skeleton for generating parametric surfaces, allowing for easy modification and reuse of legacy components, with shared information in a global control layer to manage dimensional and geometrical inputs effectively.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If more detailed features are included in the parametric vehicle model to enhance accuracy, then the model accuracy is improved, but the model complexity increases and the chances of updating failure during design changes increase

Engineering Contradiction:
Improvemodel accuracyVSAvoidmodel complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The patent divides the parametric vehicle model into multiple hierarchical levels (global level, vehicle level, component level, detail level), where each level contains features appropriate to that scale. This segmentation allows the model to maintain accuracy through detailed features while managing complexity by organizing features hierarchically, reducing updating failures during design changes.

Inventive Principle:
Principle #1Segmentation

2Adaptability or versatility

If the parametric vehicle model is simplified to increase flexibility, then the model flexibility is improved, but the ability to simulate the vehicle design decreases and more errors are introduced into the design evaluation

Engineering Contradiction:
Improvemodel flexibilityVSAvoidsimulation accuracy
Core Design Contradiction:
Adaptability or versatilityVSReliability

Solution Approach 1:

The patent implements a dynamic multi-level hierarchical structure where the model can adapt its level of detail based on the design stage and requirements. At early conceptual stages, higher-level abstractions provide flexibility, while detailed features can be activated as needed for specific simulations, maintaining both flexibility and simulation accuracy dynamically.

Inventive Principle:
Principle #15Dynamics

3Device complexity

If a single hierarchical level is used for parametric modeling to reduce complexity, then the model complexity is reduced, but the ability to represent both global vehicle characteristics and detailed component features is limited

Engineering Contradiction:
Improvemodel structure complexityVSAvoidmodel representation capability
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The patent adds a hierarchical dimension to the model structure, organizing features across multiple levels (global, vehicle, component, detail) rather than using a single level. This hierarchical dimension allows the model to represent both global characteristics and detailed features simultaneously while managing complexity through structured organization and selective activation of features at appropriate levels.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS7647210B2Parametric modeling method and system for conceptual vehicle design
Publication Date: 2010.01.12 FORD GLOBAL TECH LLC
  • US7647210B2 patent drawing
  • US7647210B2 patent drawing
  • US7647210B2 patent drawing

AI summary

An electronic method for parametric modeling of a conceptual vehicle design. The method includes (a) receiving dimensional input including one or more vehicle level parameters and one or more component level parameters; (b) receiving geometrical input including one or more non-dimensional design inputs; and (c) generating a parametric concept model based on dimensional input and the geometrical input.