Machining Process Sequencing for Additive-Subtractive Device Combinations
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Solution Overview
Problem
Conventional machining devices require user expertise to combine multiple machining devices for efficient material removal and addition, making it difficult for inexperienced users to determine suitable manufacturing processes.
Innovation Solution
A process decision support device that stores machining performance data and generates process patterns by sequencing machining steps from various devices, enabling easy determination of manufacturing processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple machining devices are combined to perform manufacturing, then productivity and manufacturing efficiency are improved, but device complexity and difficulty in determining the manufacturing process increase
Solution Approach 1:
The manufacturing process determination system performs self-service by automatically selecting and sequencing machining devices based on design data and device capability information. The system independently determines the optimal combination of additive and subtractive machining devices without requiring user expertise, thereby resolving the contradiction between improved productivity through device combination and increased complexity in process determination.
Solution Approach 2:
The patent replaces the manual mechanical process of selecting and combining machining devices with an automated information processing system. The system uses computer algorithms to analyze design data, retrieve device capability information, and automatically sequence machining operations, substituting human expertise with an automated computational approach that simplifies process determination while maintaining high productivity.
2Manufacturing precision
If user expertise is required to combine machining devices, then manufacturing precision can be maintained, but ease of operation decreases for inexperienced users
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between the user and the complex task of combining machining devices. This information processing system retrieves device capability information, analyzes design requirements, and automatically determines the appropriate sequence of machining operations. The intermediary preserves manufacturing precision by ensuring only compatible devices are combined while making the process easy to operate for inexperienced users through automated decision-making.
Solution Approach 2:
The system creates a virtual model or copy of the manufacturing process by retrieving and analyzing device capability information before actual machining. This virtual simulation allows the system to determine the optimal sequence of operations and device combinations without requiring physical trial and error, thereby maintaining manufacturing precision while simplifying operation for users.
3Adaptability or versatility
If trial and error is used to determine suitable manufacturing processes, then adaptability to different devices is improved, but loss of time increases
Solution Approach 1:
The patent applies preliminary action by retrieving and storing device capability information in advance, and using this pre-acquired data to automatically determine the optimal manufacturing process sequence. Instead of performing trial and error during actual production, the system performs the determination work beforehand by analyzing design data against stored device capabilities, thereby reducing time loss while maintaining adaptability to different machining devices.
Solution Approach 2:
The system uses feedback mechanisms by comparing design requirements with device capability information to automatically adjust and determine the optimal sequence of machining operations. The feedback loop ensures that the selected device combination is both adaptable to the specific design needs and optimized for efficiency, eliminating the need for time-consuming trial and error while maintaining high adaptability.
Data Source
AI summary
A process decision support device includes: a machining performance data storage unit that stores machining performance data indicating machining performance of each of a plurality of machining devices including a machining device that adds material and a machining device that removes material; a process pattern generation unit that refers to the machining performance data and sequences and allocates machining steps performed by a combination of any of the plurality of machining devices to generate a process pattern as a combination of the machining steps with which a product is manufacturable; and an output unit that outputs content of the process pattern generated by the process pattern generation unit.