Hybrid Manufacturing Build Orientation for Accessible Support Removal
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Solution Overview
Problem
Current manufacturing processes lack a systematic approach to optimize build orientation in additive manufacturing based on support structure accessibility, particularly for hybrid systems combining additive and subtractive processes, which complicates the removal of sacrificial supports using subtractive tools.
Innovation Solution
An automated optimization method and system that determines the optimal build orientation by analyzing the inaccessibility measure field for a set of tool assemblies and fixtures, ensuring the near-net shape can be efficiently fabricated using additive manufacturing and post-processed with subtractive machines, minimizing the cost of inaccessible support structures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If additive manufacturing is used to fabricate complex parts, then manufacturing flexibility and geometric complexity are improved, but support structures become inaccessible and difficult to remove using subtractive tools
Solution Approach 1:
The system performs preliminary analysis of support structure accessibility before the additive manufacturing process by defining multiple potential build orientations and evaluating their inaccessibility measures. This allows the optimal build orientation to be selected in advance, ensuring that support structures will be accessible for subsequent subtractive removal, thus resolving the accessibility issue before manufacturing begins.
Solution Approach 2:
The system dynamically evaluates multiple build orientations and selects the optimal one based on accessibility criteria. By making the build orientation variable and selectable rather than fixed, the system adapts to the specific geometry of the part and tool assembly characteristics to maximize support structure accessibility while maintaining manufacturing flexibility.
2Ease of manufacture
If multiple build orientations are evaluated to optimize support accessibility, then support structure accessibility is improved, but computational complexity and process planning time increase
Solution Approach 1:
The system replaces manual process planning with an automated computational method that defines multiple build orientations, calculates inaccessibility measures, and selects the optimal orientation automatically. This substitution of manual mechanical process planning with automated computational analysis reduces the complexity burden on operators while improving support accessibility evaluation.
Solution Approach 2:
The system creates virtual models and simulations of multiple build orientations and their corresponding support structures before actual manufacturing. By working with digital copies and inaccessibility measure fields rather than physical prototypes, the system can evaluate multiple scenarios efficiently without increasing physical complexity.
3Ease of operation
If build orientation is optimized for support accessibility, then subtractive tool accessibility is improved, but the number of constraints and evaluation criteria increase
Solution Approach 1:
The system changes the evaluation from qualitative assessments to quantitative parameter-based evaluation by defining inaccessibility measure fields and calculating numerical values for each build orientation. This parameterization of accessibility criteria allows systematic comparison and automated selection of optimal orientations while making the evaluation process more manageable despite increased complexity.
Data Source
AI summary
A geometry model is defined of a part targeted for a manufacturing operation that includes an additive process followed by a subtractive process. Potential build orientations of the geometry model used in the additive processes are defined, as are one or more removal tools of the subtractive process. For each of the potential build orientations, supports that are used by the additive process at the orientation are determined. One of the build orientations is selected that minimizes portions of one of the supports that are inaccessible via at least one of the removal tools.


