Band sawing machine intelligent sawing method for aluminum alloy plate

By combining heuristic algorithms and intelligent management, the sawing process of aluminum alloy sheets is optimized, solving the problem of time-consuming and labor-intensive manual calculations and achieving efficient and low-waste sawing results.

CN121624540APending Publication Date: 2026-03-10缙云县泽源产业发展有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-19
Publication Date
2026-03-10

AI Technical Summary

Technical Problem

In the sawing process of aluminum alloy sheets, the existing technology relies on manual calculation of material cutting and production scheduling, which is time-consuming and labor-intensive, difficult to optimize, and has uncertainties, resulting in material waste and low efficiency.

Method used

A hybrid heuristic algorithm is used for board cutting and layout. Combined with the PCL control system and intelligent management, the sawing parameters are optimized, and the blank areas are handled by a heuristic filling algorithm to achieve intelligent sawing.

Benefits of technology

It improved sawing efficiency, reduced material waste, optimized production decisions, reduced the time and uncertainty of manual intervention, and improved production efficiency and material utilization.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention provides a band sawing machine intelligent sawing method for an aluminum alloy plate, and relates to the technical field of plate band sawing machines, the method comprises the following steps: S1, plate blanking stock layout: adopting a hybrid heuristic algorithm to calculate the plate blanking stock layout; s2, preparation work is conducted, and it is ensured that a sawing machine is in a good state before the sawing machine is used; s3, parameter setting, wherein various parameters of the band saw are set through a PCL control system; s4, a saw cutting process is carried out in the saw cutting process; s5, treatment after saw cutting is completed, and the cut plates are removed; s6, data recording and analysis are conducted, specifically, key data in the sawing process are recorded and analyzed; according to the method, the problems that manual intervention still consumes time, and manual judgment and decision-making occupy a large amount of time are solved, and the probability that certain uncertainty still exists due to the fact that the method is limited by the accuracy of input data and the effectiveness of an algorithm is reduced.
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