Interleaved Toolpath Planning for Hybrid Part Fabrication

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Solution Overview

Problem

Determination of toolpaths for part fabrication, especially combined additive and subtractive techniques, is complex and time-consuming, leading to inefficiencies in fabrication processes.

Innovation Solution

A method and system for automated toolpath generation that includes receiving a virtual part, modifying it for fabrication, determining efficient toolpaths, and generating machine instructions for both additive and subtractive processes, using a system with deposition, material removal, and movement mechanisms controlled by a computing system.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If automated toolpath generation is implemented, then fabrication efficiency is improved, but system complexity increases

Engineering Contradiction:
Improvefabrication efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system segments the fabrication process into distinct additive and subtractive operations, with separate toolpath generation algorithms for each. This modular approach manages complexity by handling different fabrication techniques independently while coordinating them through a unified system architecture.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

A computing system acts as an intermediary between the digital model and physical fabrication processes. This intermediary automatically generates toolpaths, coordinates deposition and material removal operations, and manages the complex interactions between different fabrication mechanisms without requiring manual intervention.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Device complexity

If manual toolpath determination is used, then system complexity is reduced, but fabrication time increases

Engineering Contradiction:
Improvesystem complexityVSAvoidfabrication time
Core Design Contradiction:
Device complexityVSLoss of time

Solution Approach 1:

The system performs self-service by automatically generating its own toolpaths without external human intervention. The computing system analyzes the digital model, determines optimal deposition and material removal sequences, and produces fabrication instructions autonomously, eliminating time-consuming manual toolpath creation.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary action by pre-calculating and optimizing toolpaths before fabrication begins. All path planning, parameter optimization, and operation sequencing are completed in advance through automated computation, enabling efficient execution during the actual fabrication process.

Inventive Principle:
Principle #10Preliminary action

3Manufacturing precision

If combined additive and subtractive techniques are used, then manufacturing precision is improved, but process complexity increases

Engineering Contradiction:
Improvefabrication qualityVSAvoidprocess complexity
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system merges additive deposition and subtractive material removal into a unified fabrication process. By integrating both operations in a single coordinated system with unified toolpath generation, it achieves high manufacturing precision through the complementary strengths of both techniques while managing process complexity through integration.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The system applies local quality by selecting specific deposition or removal operations for different regions of the part based on local requirements. The automated toolpath generation identifies areas needing additive fabrication versus subtractive finishing, applying the appropriate technique locally to optimize overall manufacturing precision.

Inventive Principle:
Principle #3Local quality

4Loss of substance

If automated toolpath generation is implemented, then material efficiency is improved, but computational requirements increase

Engineering Contradiction:
Improvematerial wasteVSAvoidcomputational energy
Core Design Contradiction:
Loss of substanceVSUse of energy by moving object

Solution Approach 1:

The system uses feedback mechanisms in its automated toolpath generation, analyzing the digital model and fabrication constraints to optimize material usage. The computing system calculates efficient deposition paths and material removal sequences that minimize waste, with the computational energy invested yielding significant reductions in material loss.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS11422532B2Method and system for automated toolpath generation
Publication Date: 2022.08.23 MANTLE INC
  • US11422532B2 patent drawing
  • US11422532B2 patent drawing
  • US11422532B2 patent drawing

AI summary

A method for facilitating part fabrication, such as by automated toolpath generation, can include one or more of: receiving a virtual part; modifying the virtual part; and/or determining toolpaths to fabricate the target part. The toolpaths preferably define an ordered series of additive and subtractive toolpaths, more preferably wherein the additive and subtractive toolpaths are interleaved, which can function to achieve high manufacturing efficiency and/or performance. The method can additionally or alternatively include: generating machine instructions based on the toolpaths; fabricating the target part based on the machine instructions; calibrating the fabrication system; and/or any other suitable elements.