Connectivity Graph Pour Unit Generation for Casting Models
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Solution Overview
Problem
In computer-aided modeling for casting processes, existing systems lack a simplified mechanism to generate pour units from models without requiring the modeler to consider break locations or object boundaries, leading to inefficiencies in pour planning and execution.
Innovation Solution
A method and apparatus that utilize a connectivity creator unit and a pour creator unit within a computer-aided modeling system to generate pour units by analyzing connectivity graphs and identifying pour breaks, allowing for the creation of pour units that can be optimized for manufacturing without explicitly defining object boundaries or break locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the modeler manually defines break locations and object boundaries for pour planning, then the pouring process can be controlled, but the modeling complexity and time consumption increase significantly
Solution Approach 1:
The system enables self-service by automatically generating pour units and determining break locations based on the 3D model data without requiring manual intervention. The computer automatically analyzes the model, identifies suitable break points, and creates pour unit definitions, allowing the system to serve itself rather than requiring the modeler to manually define all pouring parameters
Solution Approach 2:
The system performs preliminary action by pre-calculating and pre-defining pour units and break locations during the modeling phase. The computer analyzes the 3D model in advance, determines optimal pour breaks based on geometric and manufacturing criteria, and prepares pour unit definitions before the actual pouring process begins, eliminating the need for manual planning during execution
2Reliability
If the modeler manually defines break locations and object boundaries for pour planning, then the pouring process can be controlled, but the time consumption increases
Solution Approach 1:
The system replaces the manual mechanical process of defining pour breaks and object boundaries with an automated computer-based system. The computer uses algorithms to automatically analyze the 3D model, calculate optimal break locations, and generate pour unit definitions, substituting manual operations with automated computational processes that are significantly faster and more consistent
Solution Approach 2:
The system enables self-service by automatically generating pour units and determining break locations based on the 3D model data without requiring manual intervention. The computer automatically analyzes the model, identifies suitable break points, and creates pour unit definitions, allowing the system to serve itself rather than requiring the modeler to manually define all pouring parameters
3Ease of operation
If pour planning is performed independently of object boundaries, then the ease of operation improves, but the precision of pour unit definition may be compromised
Solution Approach 1:
The system applies parameter changes by using multiple criteria and parameters to define pour units, including geometric parameters (volume, surface area, thickness), manufacturing parameters (pourability, cooling rates), and material parameters. The computer automatically adjusts and optimizes these parameters to ensure precise pour unit definitions that satisfy both ease of operation and manufacturing precision requirements
Solution Approach 2:
The system applies local quality by allowing different regions of the model to have different pour unit definitions based on their specific characteristics. The computer analyzes each region locally and applies appropriate break locations and pour unit boundaries tailored to the specific geometric and manufacturing requirements of each area, rather than applying a uniform approach throughout the entire model
4Manufacturing precision
If the system requires explicit definition of object boundaries for pour units, then the pour unit precision is maintained, but the device complexity increases
Solution Approach 1:
The system enables self-service by automatically generating pour units and determining break locations based on the 3D model data without requiring manual intervention. The computer automatically analyzes the model, identifies suitable break points, and creates pour unit definitions, allowing the system to serve itself rather than requiring the modeler to manually define all pouring parameters
Solution Approach 2:
The system applies parameter changes by using multiple criteria and parameters to define pour units, including geometric parameters (volume, surface area, thickness), manufacturing parameters (pourability, cooling rates), and material parameters. The computer automatically adjusts and optimizes these parameters to ensure precise pour unit definitions that satisfy both ease of operation and manufacturing precision requirements
Data Source
AI summary
A simplified mechanism to generate, using data of a model, one or more pour units, a pour unit indicating one or more objects and/or one or more object parts that are intended to be manufacture by a pour, is provided. In the mechanism, a connectivity graph is created for one or more objects modeling a continuous cast product. Then it is checked whether or not the pour break splits the graph into two or more separate graphs. If it splits, two pour units are created on the basis of the two or more separate graphs.