Intelligent monitoring system for three-dimensional dynamic filling of powder metallurgy mold

By using a distributed multimodal sensor array and high-performance data processing, combined with 3D reconstruction and digital twin technology, real-time monitoring and intelligent diagnosis of powder distribution inside the cavity of powder metallurgy molds have been achieved. This solves the problem of difficulty in detecting uneven powder distribution in existing technologies, and improves product quality and production efficiency.

CN121256197BActive Publication Date: 2026-06-26GUANGDONG JINWANG IND CO LTD
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Patent Information

Authority / Receiving Office
CN ยท China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGDONG JINWANG IND CO LTD
Filing Date
2025-10-09
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing technologies cannot achieve real-time local monitoring of the three-dimensional dynamic filling process inside the cavity of powder metallurgy molds, making it difficult to detect the uneven distribution of powder in complex areas, leading to product defects and performance degradation.

Method used

A distributed multimodal sensing unit, including a distributed array of capacitive, ultrasonic, and micro-strain sensors, is used in conjunction with a high-performance data acquisition and preprocessing unit, a three-dimensional powder distribution reconstruction and digital twin module, an intelligent defect identification and assessment module, and a process feedback and control interface to construct a real-time monitoring system.

Benefits of technology

It enables precise perception and intelligent diagnosis of powder distribution inside the cavity of powder metallurgy molds, improving forming quality, reducing scrap rate, and supporting intelligent and adaptive control of powder metallurgy production.

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Abstract

The present application belongs to the technical field of powder metallurgy, and specifically relates to a powder metallurgy mold three-dimensional dynamic filling intelligent monitoring system, which comprises a distributed multi-modal sensing unit, a high-performance data acquisition and preprocessing unit, a three-dimensional powder distribution reconstruction and digital twin module, an intelligent defect identification and evaluation module, and a process feedback and control interface. The system can overcome the limitations of the prior art, such as the lack of real-time, local and three-dimensional monitoring capability for the powder filling process in the mold cavity. The system provided by the present application realizes fine perception and intelligent diagnosis of the powder distribution state, thereby effectively improving the forming quality of the powder metallurgy part, reducing the scrap rate, and laying a solid foundation for realizing intelligent and self-adaptive control of the powder metallurgy production process.
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