Leaded Component Tool Selection Using Chuck and Pusher Matching
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Solution Overview
Problem
Users face a significant burden in selecting the optimal combination of configuration members for gripping and mounting leaded components, as they must manually search through numerous possible combinations of tool components, such as main bodies, claws, and pushers, which is inefficient and time-consuming.
Innovation Solution
A tool searching device that includes a memory section to store configuration member information linked to size-related and lead-related information, an acquiring section to input and acquire this information, and a search section to find the appropriate combination of configuration members for gripping and mounting leaded components, thereby automating the tool selection process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If users manually search through numerous possible combinations of configuration members to find the optimal tool combination, then they can find suitable tools for gripping and mounting components, but the burden on users is very large and the process is time-consuming
Solution Approach 1:
The system performs automatic tool selection and configuration member combination search without requiring user intervention. The search section automatically queries the memory section using component information as search terms, and the output section provides the results, making the system serve itself rather than requiring users to manually search through combinations.
Solution Approach 2:
The manual mechanical process of users searching through combinations is replaced by an automated information processing system. The search section uses electronic data processing to query the memory section and retrieve appropriate configuration member combinations, substituting human cognitive and manual search efforts with automated computational processes.
2Adaptability or versatility
If multiple configuration members such as main body, claws, and pushers are combined to make a tool for gripping and mounting leaded components, then versatile tool functionality is achieved, but the number of possible combinations increases significantly making selection difficult
Solution Approach 1:
The memory section serves as an intermediary between the component information and the configuration member combinations. It stores pre-organized relationships between component characteristics and suitable tool configurations, allowing the search section to efficiently retrieve appropriate combinations without users needing to understand the complex relationships between multiple configuration members.
Solution Approach 2:
The tool configuration is segmented into multiple independent configuration members (main body, claws, pushers) that can be independently selected and combined. The memory section stores information for each configuration member separately, allowing the system to efficiently search and combine appropriate segments based on component requirements rather than evaluating complete pre-assembled tool options.
Data Source
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AI summary
A chuck main body type and claw type deciding table and a pusher type deciding table are memorized in advance, information related to a leaded component such as component size, lead pitch, lead diameter, and component form (upper surface form) is acquired (S100 to S120), a combination of the chuck main body type and the claw type is searched from the chuck main body type and claw type deciding table using the acquired component size, lead pitch, lead diameter, and the like as search terms (S130), the pusher is searched from the pusher type deciding table using the acquired component form or the like as a search term (S140), and the search results are displayed (S170). By this, it is possible to automatically select a tool made from a combination of multiple configuration members.