Automated Tool Configuration From 3D Machinable Feature Recognition
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Solution Overview
Problem
The process of configuring and implementing industrial tool solutions is complex and time-consuming, requiring significant effort to determine the optimal configuration for machining operations, considering tool interactions, workpiece features, and material properties.
Innovation Solution
A computer-based platform that automates or semi-automates the process of gathering, analyzing, and implementing industrial tool solutions, utilizing modules for model data processing, digital machining, and solution finding to identify machinable features and assign cutting tools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual configuration process is used to determine optimal industrial tool solutions, then customization and precision can be achieved, but time consumption and complexity increase significantly
Solution Approach 1:
The system pre-processes the 3D model data to automatically identify and classify machinable features before tool selection. This preliminary analysis of workpiece geometry, material properties, and tolerances creates a structured foundation that enables rapid subsequent matching with appropriate cutting tools and machining parameters, eliminating manual inspection and configuration time
Solution Approach 2:
The system uses digital twins and virtual prototypes of industrial tools and machining setups to simulate and evaluate different configuration options. By creating and testing virtual copies of tool assemblies, fixtures, and machining processes, the system can identify optimal configurations without physical trial-and-error, significantly reducing configuration time while maintaining precision
2Manufacturing precision
If comprehensive analysis of tool-machine-workpiece relationships is performed, then optimal solution can be found, but process complexity increases
Solution Approach 1:
The configuration process is divided into distinct modular stages: workpiece model analysis, feature recognition and classification, machining operation determination, tool selection, and parameter optimization. Each module handles a specific aspect of the configuration, processing data independently and passing results to the next stage. This segmentation reduces the perceived complexity by breaking down the comprehensive analysis into manageable, specialized tasks that can be executed systematically
Solution Approach 2:
The system introduces an intelligent software platform as an intermediary between the physical elements (tools, machines, workpieces) and the configuration decision-making process. This digital mediator automatically analyzes relationships between tool capabilities, machine parameters, and workpiece requirements, translating complex multi-parameter constraints into optimal configuration recommendations without requiring direct human analysis of all interactions
3Productivity
If automated system is implemented to generate industrial tool solutions, then productivity increases, but initial system complexity and resource requirements increase
Solution Approach 1:
The automated system is designed with universal modules that can handle multiple machining operations and tool types through a single integrated platform. The feature recognition engine, tool database, and parameter optimization algorithms are configured to work across different workpiece geometries, materials, and machining processes (milling, turning, drilling, etc.), eliminating the need for separate specialized systems for each operation and reducing overall system complexity through consolidation
Solution Approach 2:
The system utilizes parametric modeling and database-driven approaches where tool geometries, machining parameters, and process conditions are defined as adjustable parameters rather than fixed configurations. By storing tool specifications, material properties, and machining parameters in structured databases with defined relationships, the system can rapidly reconfigure solutions by changing parameter values rather than redesigning entire tool setups, significantly improving productivity while maintaining manageable system complexity
Data Source
AI summary
A computer-based system is provided for automatically or semi-automatically generating industrial tool solutions. A digital platform can be programmed for receiving an uploaded model data file for a component to be manufactured. A digital machining module is programmed for processing the model data for recognizing different features of the component, processing the recognized features to identify machining operations corresponding to the recognized features to generate machinable features, and generating an industrial tool solution comprising the identified machinable features. A solutions finder module can be programmed for receiving data associated with the machinable features, and assigning one or more cutting tools to the machinable feature. Also, the system can generate and communicate a set of instructions describing how to make the component.