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DACUUM Vacuum System: Optimize Cell Vacuum Drying, Elevate Oven Efficiency

Traditional vacuum setups for lithium battery cell vacuum drying suffer from low utilization rate, frequent downtime and unstable pressure control. Dacuum has developed an innovative combined rough & fine pumping system integrated with intelligent cluster management. This system supports multi-furnace operation with one unit and features redundant backup capability. It steadily maintains the process pressure within 30-80 Pa, improving the consistency of cell drying. Meanwhile, it cuts equipment investment and energy consumption, ensures continuous and safe production of the production line, and delivers an all-in-one vacuum process solution for lithium battery manufacturing.
30-80Pa
Quality Upgrade
20-50 %
Cost Optimization
10000H
Stable Operation

Three core pain points

Low Equipment Utilization

The "one pump, one oven" model wastes resources, while the "one pump for multiple ovens" setup struggles with stable pressure control.
01

Weak Risk Resistance

A single equipment failure leads to immediate production shutdown, easily causing scrapped battery cells and associated losses.
02

High Overall Costs

Equipment procurement, energy consumption, and daily maintenance costs remain persistently high.
03

Solution

Three major technological breakthroughs based on the DPH760/420 unit

Core Vacuum Source Configuration

The system uses two vacuum pumps as its core vacuum source. One pump serves as the roughing pump, responsible for quickly evacuating the drying oven from atmospheric pressure to the initial vacuum stage. The other acts as the high-vacuum pump (fine pump), which maintains and stabilizes the high vacuum level once the initial vacuum is reached. The vacuum pumping logic is illustrated in the diagram below. This design is based on an analysis of the two phases of the vacuum pumping process—the fast pumping phase and the pressure holding phase. By skillfully leveraging the different load characteristics of vacuum pumps at each stage, it achieves optimized allocation of pump resources and reuse of idle time.

Energy Efficiency & Space Optimization

Compared with the traditional "one pump, one furnace" configuration, which can only support two drying ovens, this solution uses a single combined roughing and fine pumping system to efficiently meet the vacuum requirements of three or more vacuum drying ovens (piping connection example shown in the diagram). Under the same production capacity requirements, it significantly reduces the total number of vacuum pumps required, achieving dual savings in equipment footprint and energy consumption.

Enhanced System Flexibility and Reliability

When multiple combined roughing and fine pumping vacuum systems are deployed in parallel, a redundant backup network is built through interconnected butterfly valves on the main vacuum lines. If a vacuum pump in one system fails, the corresponding butterfly valves can be opened to allow other operational pumping systems to take over its vacuum pumping tasks temporarily. This ensures the baking process of cells in the connected drying oven is not interrupted, greatly enhancing the system’s risk resistance and continuous operation capability.

Intelligent Cluster Control

A centralized vacuum supply system integrating main vacuum pipelines, multi-channel high-precision intelligent vacuum valve banks and vacuum transducers is custom-developed. Relying on Dacheng Vacuum’s self-developed cluster control platform, the system executes fully automatic, high-precision sequential control and independent management over pumping, pressure holding and vacuum breaking for every drying oven following pre-set process recipes. It enables an efficient, unattended cyclic operation mode of one pump serving multiple ovens.
Core Vacuum Source Configuration
Energy Efficiency & Space Optimization
Enhanced System Flexibility and Reliability
Intelligent Cluster Control

Technical Consulting

Accurate Q&A on Vacuum Technology | Design of Customized Working Conditions | Full Process Guidance on Selection and Adaptation