Automated CNC Machining Strategy Sequencing for Toolpath Optimization

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Solution Overview

Problem

Current CNC machining strategies require manual intervention by skilled machinists or CAM programmers, leading to time-consuming processes, especially in low volume, high mix applications like prototyping, where dozens of decisions and actions are needed to generate machining programs, tying up resources.

Innovation Solution

The system automatically generates machining strategies by identifying features, suitable tools, and optimal removal operation sequences, allowing for parallel processing to minimize time and computational effort, accounting for the effects of preceding operations on subsequent ones.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If manual processes are used to create machining strategies, then the quality and expertise of machining programs can be ensured, but the time required and resource utilization deteriorate significantly

Engineering Contradiction:

Improvemachining program qualityVSAvoidtime to generate machining programs

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system enables self-service by allowing the machining strategy generation process to automatically identify features, select tools, determine operation sequences, and generate toolpaths without requiring skilled machinist intervention, thereby eliminating the time-consuming manual processes while maintaining program quality through algorithmic optimization

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical system of manual machinist decision-making with an automated computational system that uses algorithms to analyze workpiece features, evaluate tool options, optimize operation sequences, and generate machining programs, substituting human expertise with automated intelligent processing

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Device complexity

If sequential processing is used for machining operations, then the complexity of managing operations is reduced, but the productivity and time required deteriorate

Engineering Contradiction:

Improveoperation management complexityVSAvoidmachining speed

Core Design Contradiction:

Device complexityVSProductivity

Solution Approach 1:

The system performs preliminary action by pre-calculating and storing the effects of each removal operation on the workpiece geometry before actual machining begins. This allows the optimization algorithm to evaluate all possible operation sequences in advance and identify the optimal parallel execution plan, enabling both high productivity and simplified management

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent introduces dynamics by transitioning from static sequential operation management to dynamic parallel processing where multiple removal operations are executed simultaneously based on pre-computed optimal sequences. The system dynamically determines which operations can be performed in parallel while accounting for their interdependencies, thereby increasing productivity without proportionally increasing management complexity

Inventive Principle:

Principle #15Dynamics

3Productivity

If automated systems are used to generate machining strategies, then the time and resource requirements are reduced, but the complexity of the system increases

Engineering Contradiction:

Improveresource utilization efficiencyVSAvoidsystem complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system applies segmentation by breaking down the complex machining strategy generation process into distinct modular components: feature identification module, tool selection module, operation sequencing module, and toolpath generation module. Each module handles a specific aspect of the problem independently, reducing overall system complexity while maintaining high productivity through coordinated operation of these segmented functions

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent implements universality by creating a multi-functional automated system that performs multiple tasks within a unified framework: identifying workpiece features, selecting appropriate tools, optimizing operation sequences, calculating material removal effects, and generating toolpaths. This universal system handles diverse machining scenarios through a single integrated platform, reducing the need for multiple specialized systems

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20240361747A1Systems and methods for automatic generation and optimization of machining strategies

Publication Date: 2024.10.31 TOOLPATH LABS INC

AI summary

An automated machining system comprising a CNC machine and a processor configured to automatically identify one or more features to be machined into a workpiece to form a part; determine a set of tools suitable for performing a removal operation associated with machining each feature; identify those tools necessary for performing roughing and finishing removal operations for each feature; generate various sequences of removal operations suitable for machining all of the one or more features; calculate a cost of performing each removal operation sequence; determine which of the removal operations sequences is optimal; generate corresponding toolpaths for machining the features into the workpiece; and provide instructions to the CNC machine for automatically implementing the optimal removal operation sequence and corresponding toolpaths to machine the features into the workpiece to form the part. A system for automatic generation and optimization of machining strategies. A system for automatic generation of toolpaths.