Load-Bearing Parts With Interconnected Branch Networks

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Solution Overview

Problem

Current methods for designing load-bearing parts, such as vehicle bumpers, face challenges in optimizing their structure to effectively resist loads while minimizing material usage and maintaining stiffness and natural frequency, often requiring iterative design processes that are not fully efficient.

Innovation Solution

The design involves creating a computer model of a load-bearing part with a network of interconnected branches, using topology optimization to remove mass while maintaining stiffness and natural frequency, and then adding mass to meet loading requirements, utilizing software like Solid Thinking Inspire and LS-OPT for optimization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If topology optimization is used to remove mass, then material usage is minimized, but structural strength and stiffness may be compromised

Engineering Contradiction:
Improvematerial usageVSAvoidstructural strength
Core Design Contradiction:
Quantity of substanceVSStrength

Solution Approach 1:

The structure is divided into a network of interconnected branches rather than a solid mass. This segmentation allows material to be distributed only where structurally necessary, creating load-bearing pathways that maintain strength while minimizing overall material usage. The branch network topology is optimized to ensure load transfer efficiency throughout the structure.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Different regions of the structure have different material densities and branch configurations based on local stress and load requirements. Areas experiencing higher loads have denser branch networks and thicker walls, while low-stress regions have reduced material presence. This local optimization ensures strength is maintained exactly where needed while minimizing material in less critical areas.

Inventive Principle:
Principle #3Local quality

2Weight of moving object

If mass is removed through optimization, then weight is reduced, but natural frequency may change adversely

Engineering Contradiction:
ImproveweightVSAvoidnatural frequency
Core Design Contradiction:
Weight of moving objectVSReliability

Solution Approach 1:

The optimization process adjusts multiple parameters simultaneously including branch thickness, branch diameter, branch spacing, and material density. By changing these parameters in a coordinated manner, the structure achieves reduced weight while maintaining or adjusting the natural frequency within acceptable ranges. The software iteratively modifies these parameters to meet both weight targets and frequency constraints.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

Natural frequency requirements are incorporated into the optimization process from the beginning, before final design completion. The software uses preliminary frequency analysis to guide material removal and redistribution, ensuring that frequency constraints are satisfied early in the design process rather than requiring later iterations or corrections.

Inventive Principle:
Principle #10Preliminary action

3Manufacturing precision

If iterative design processes are used, then optimization accuracy is improved, but design time increases

Engineering Contradiction:
Improveoptimization accuracyVSAvoiddesign time
Core Design Contradiction:
Manufacturing precisionVSLoss of time

Solution Approach 1:

Manual iterative design processes are replaced with automated software-based optimization systems. The software performs thousands of design iterations in minutes by automatically analyzing stress distributions, adjusting topology, and evaluating performance metrics. This substitution of computational automation for manual mechanical design processes achieves high optimization accuracy while dramatically reducing design time.

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

Solution Approach 2:

The optimization software creates and evaluates numerous virtual copies of the design with slightly varied parameters. By rapidly generating and assessing multiple design iterations in the digital domain, the software identifies optimal configurations without requiring physical prototyping or manual redesign cycles, thus achieving high precision efficiently.

Inventive Principle:
Principle #26Copying

Data Source

PatentUS10471913B2Load-bearing parts with networks of interconnecting branches and methods of making the same
Publication Date: 2019.11.12 SABIC GLOBAL TECHNOLOGIES BV
  • US10471913B2 patent drawing
  • US10471913B2 patent drawing
  • US10471913B2 patent drawing

AI summary

In one example, a load-bearing, three-dimensional printed part resists a load. The load-bearing part has a load-receiving member, a support member, and a network of interconnected branches. The load-receiving member has an outer surface that receives the load. The support member is offset from the load-receiving member along a first direction. The network of interconnected branches extends from the load-receiving member to the support member, and includes a first primary branch and an auxiliary branch. The first primary branch has a first primary-branch end attached to one of the load-receiving member and the support member. The auxiliary branch has a first auxiliary-branch end attached to the first primary branch, and a second auxiliary-branch end attacked to one of (i) the load-receiving member, (ii) the support member, and (iii) a second primary branch.