Online Foil Tape Pasting Mechanism for High-Strength Continuous Splicing

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Solution Overview

Problem

The existing lithium battery production processes face issues with insufficient splicing strength at the foil junction, leading to band breakage, affecting machining quality and increasing production costs due to manual intervention and equipment shutdowns.

Innovation Solution

An on-line tape pasting mechanism for foil band movement direction, comprising an unwinding, tape pulling, tape pasting, tape preparation, and tape transfer assembly, with a swing arm, clutch device, and angle control, enabling high-speed tape application without stopping the foil, ensuring accurate splicing and enhanced strength.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If manual splicing operation is used, then the splicing process can be completed, but the production efficiency is reduced and equipment shutdown is required

Engineering Contradiction:
Improvesplicing operationVSAvoidproduction efficiency
Core Design Contradiction:
Ease of operationVSProductivity

Solution Approach 1:

The automated splicing system performs splicing operations autonomously without manual intervention. The system includes automatic tape application, positioning, and bonding mechanisms that complete the splicing process independently, eliminating the need for equipment shutdown and manual operations, thereby maintaining continuous production flow and high productivity

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical splicing operations with an automated mechanical system. The system uses programmable controllers, automated tape dispensers, and precision positioning mechanisms to perform splicing tasks that were previously done manually, thus improving production efficiency while maintaining operational control

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If automated splicing is used, then production efficiency is improved, but the splicing strength is insufficient compared to other positions

Engineering Contradiction:
Improveproduction efficiencyVSAvoidsplicing position strength
Core Design Contradiction:
ProductivityVSStrength

Solution Approach 1:

The system applies tape to the splicing position before the actual bonding process occurs. By pre-positioning the tape and ensuring proper alignment and adhesion preparation in advance, the system ensures that the splicing position achieves sufficient strength comparable to other positions, while maintaining continuous automated operation

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent controls various parameters such as tape application pressure, bonding temperature, and curing time to ensure optimal splicing strength. By precisely adjusting these parameters during automated operation, the system achieves strong splicing bonds that match the strength of non-spliced positions while maintaining high production efficiency

Inventive Principle:
Principle #35Parameter changes

3Ease of operation

If manual splicing is performed, then the splicing can be completed, but labor resources and material resources are increased

Engineering Contradiction:
Improvesplicing operationVSAvoidlabor and material resources
Core Design Contradiction:
Ease of operationVSLoss of substance

Solution Approach 1:

The automated system performs all splicing operations independently without requiring human labor for tape application, positioning, or bonding. This eliminates the consumption of labor resources while the precise material delivery system minimizes waste of tape and other materials, achieving cost-effective automated splicing

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS12407013B2On-line tape pasting mechanism for foil band movement direction
Publication Date: 2025.09.02 KATOP AUTOMATION CO LTD
  • US12407013B2 patent drawing
  • US12407013B2 patent drawing
  • US12407013B2 patent drawing

AI summary

Provided are a scheduling method and apparatus based on a deep learning node computation, and a storage medium. The scheduling method includes: a to-be-computed node of a preset neural network computation graph is acquired; a node type of the to-be-computed node is determined, where the node type includes a hardware computation node and a software computation node; in a case where the node type is the hardware computation node, the hardware computation node is scheduled to a first queue, and whether a hardware computing power module corresponding to the hardware computation node is occupied or not is determined; and in a case where the hardware computing power module is not occupied, the hardware computation node is input into the hardware computing power module for computing.