Automated Machinability Analysis via Visibility Mapping
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Solution Overview
Problem
Conventional methods for synthesizing manufacturing process plans for parts with arbitrary geometric complexity are inefficient and require significant human intervention, as they lack automated feedback mechanisms to guide manufacturability analysis and process planning, leading to time-consuming and costly manual validation processes.
Innovation Solution
A web-based system that analyzes part geometry and manufacturing setup using geometric reasoning algorithms to determine maximal machinable volumes and generate process plans, providing fast feedback on manufacturability through visibility analysis and dimensional reduction, allowing for automated process planning and online deployment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional manual methods are used for synthesizing manufacturing process plans, then human expertise and creativity can be applied to handle complex geometries, but the process becomes time-consuming and expensive
Solution Approach 1:
The patent replaces manual human analysis with automated computer-based geometric reasoning algorithms. The system uses computational methods to perform manufacturability analysis and generate process plans, substituting the mechanical human expert system with an automated digital system that can handle complex geometries efficiently without manual intervention.
Solution Approach 2:
The system enables self-service by allowing the manufacturing planning process to autonomously analyze part geometry, determine machinability, and generate process plans without requiring human expertise. The automated geometric reasoning algorithms independently evaluate manufacturability and produce actionable process plans, making the system self-sufficient.
2Productivity
If automated methods are introduced to reduce manual intervention, then productivity increases, but the system lacks the creativity and experience of human experts
Solution Approach 1:
The patent employs advanced geometric reasoning algorithms and computational geometry techniques to replace human expert systems. These automated algorithms can handle arbitrary geometric complexity by mathematically analyzing part geometry, determining machinable volumes, and generating process plans, achieving both high productivity and adaptability to complex shapes.
Solution Approach 2:
The system handles geometric complexity by transforming the manufacturing planning problem into geometric parameter analysis. It evaluates parameters such as part geometry characteristics, tool accessibility, and machinable volumes through computational methods, allowing automated adaptation to varying geometric complexities without requiring human creativity.
3Manufacturing precision
If detailed manufacturability analysis is performed for arbitrary geometric complexity, then manufacturing precision improves, but the computational complexity and solution space become intractable
Solution Approach 1:
The patent segments the complex manufacturability analysis into distinct computational stages: geometric reasoning to identify machinable volumes, accessibility analysis to determine tool approaches, and process plan generation. This segmentation breaks down the intractable problem into manageable computational tasks that can be solved systematically.
Solution Approach 2:
The system transforms the three-dimensional geometric complexity into a different computational dimension by using volumetric analysis and configuration space methods. It evaluates manufacturability by analyzing the volume of machinable material and tool accessibility in configuration space, converting complex geometric problems into tractable computational formulations.
Data Source
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AI summary
A Web-based system and method uses a model of the manufacturing setup and knowledge of a designed part with arbitrary geometry to produce process plans in two successive stages. First, the part geometry is analyzed. A query of determining the maximal volume machinable from an oriented machining tool is transformed into determining the visibility of the part surface from the perspective of a hypothetical camera placed at the tip of the oriented machining tool. Second, a collection of the maximal machinable volumes over the set of all tool orientations is collected. Combinations of the maximal machinable volumes covering the entire difference between the raw stock and the desired part are evaluated for providing feedback on manufacturability and process plans. In a further embodiment, manufacturability is analyzed for tools and machines with arbitrary geometric complexity using high dimensional configuration space analysis.