Technical Analysis of Jiangxi Mingxin Lead-Acid Battery Recycling Equipment
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2026-04-29 01:39:15
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I. Core Processes of the Equipment
The mechanical crushing and sorting method adopted by Jiangxi Mingxin is at the industry-leading level. Its production line includes three processing modules:
1. Hammer Crusher Unit — Crushes batteries into particles smaller than 2 cm through high-speed rotating hammers at 480 r/min.
2. Hydraulic Sorting Tower — Separates plastics, metals, and lead paste into three phases based on their density differences, with a separation accuracy of 98.7%.
3. Neutralization and Sedimentation System — Equipped with a pH automatic control device to ensure that the wastewater meets the discharge standards of GB8978-2002.
II. Highlights of Technical Innovation
The equipment is equipped with an intelligent sensing system that monitors the bearing temperature of the crusher (with a warning value of 85) and the blade wear index in real time.
In 2023, the upgraded fourth-generation model added the following features:
- An eddy current sorting module, which increased the recovery rate of non-ferrous metals to 99.2%
- A nano-membrane filtration device, which achieved a lead dust capture efficiency of 99.97%
- An energy recovery system, which recovered 12kW·h of electric energy for every ton of waste batteries processed
III. Environmental Benefit Data
According to the Jiangxi Provincial Environmental Science Research Institute, a single production line can process 15,000 tons annually, achieving the following results:
- Lead recovery rate: 99.5%
- Plastic recovery rate: 98.8%
- Wastewater reuse rate: 85%
- Hazardous waste reduction rate: 97.3%
IV. Equipment Operation and Maintenance Features
It adopts a modular design, and all core components are equipped with quick-change interfaces.The blades of the main crusher are made of tungsten-cobalt alloy, with a service life of more than 2,000 hours.The intelligent operation and maintenance system allows users to check the operating status of equipment in real time via a mobile app, and predict the replacement cycle of components up to 14 days in advance.