Topology Optimization With Accessibility Constraints for Machinable Parts
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current automated design techniques often generate part designs that are geometrically complex and cannot be effectively manufactured using subtractive manufacturing methods due to unsatisfied accessibility constraints, leading to costly trial-and-error processes to make the designs machinable.
Innovation Solution
A topology optimization framework that incorporates accessibility constraints through the formulation of an inaccessibility measure field, allowing for the identification and prevention of non-manufacturable features by quantifying inaccessibility in a spatially continuous manner, ensuring that the designed parts can be manufactured using given tools and fixtures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If automated design techniques are used to generate part designs, then design complexity and performance optimization are improved, but manufacturing accessibility and ease of manufacture deteriorate
Solution Approach 1:
The patent applies preliminary action by incorporating accessibility constraints into the topology optimization process before manufacturing. The inaccessibility measure field is calculated during the design phase to identify and prevent non-manufacturable features, ensuring that the optimized design automatically satisfies manufacturing accessibility requirements without requiring post-processing modifications
Solution Approach 2:
The patent implements feedback by using the calculated inaccessibility measure field to inform and adjust the topology optimization iterations. The accessibility constraints are fed back into the optimization algorithm to modify the design domain and material distribution, creating a closed-loop system that continuously improves manufacturability while maintaining performance optimization
2Ease of manufacture
If accessibility constraints are incorporated into topology optimization, then ease of manufacture is improved, but design space exploration and adaptability are restricted
Solution Approach 1:
The patent applies local quality by calculating the inaccessibility measure field at each spatial location within the design domain. This allows different regions to have different accessibility characteristics, enabling the optimization algorithm to make localized material distribution decisions that satisfy manufacturing constraints in critical areas while maintaining design flexibility in other regions
Solution Approach 2:
The patent introduces a new dimension to the design space by incorporating the inaccessibility measure field as an additional constraint dimension. This transforms the traditional topology optimization from a purely performance-driven process to a multi-dimensional optimization that simultaneously considers performance, accessibility, and manufacturability, expanding rather than restricting the effective design space
3Manufacturing precision
If inaccessibility measure field is calculated to identify non-manufacturable features, then manufacturing precision is improved, but computational time and productivity are reduced
Solution Approach 1:
The patent applies partial action by calculating the inaccessibility measure field for specific tool assemblies and orientations that are relevant to the manufacturing process, rather than performing exhaustive analysis for all possible tools and orientations. This selective calculation approach maintains manufacturing precision while reducing unnecessary computational overhead
Solution Approach 2:
The patent performs preliminary calculation of the inaccessibility measure field during the topology optimization iterations themselves, rather than performing separate post-processing analysis. This integration allows the accessibility information to be used immediately in subsequent optimization iterations, eliminating redundant computational steps and improving overall efficiency
Data Source
AI summary
A representation of an initial design domain, at least one subtractive tool assembly, machine degrees of freedom, and a termination criterion are used to iteratively generate intermediate part designs by redistributing the material within the design domain. A measure of inaccessibility of exteriors of the intermediate part designs by the at least one subtractive manufacturing tool assembly are generated. The measure of inaccessibility is used to inform generation of an intermediate part design at a next iteration. The iterative algorithm is terminated when the termination criterion is satisfied, the result of the iterative algorithm being a part design accessible for subtractive manufacturing.