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烘干机核心技术揭秘:打撒装置如何破解烘干不均难题

2025-08-25

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        引言:


在工业烘干领域,物料受热不均导致的品质波动是长期困扰企业的痛点。无论是化工原料还是食品加工残渣,一旦烘干不均匀,不仅影响成品合格率,还可能造成能耗浪费。金万泓烘干机通过创新设计,将“打撒装置” 与智能控制系统结合,从源头解决这一难题。
In the field of industrial drying, quality fluctuations caused by uneven heating of materials have long been a pain point for enterprises. Whether it is chemical raw materials or food processing residues, uneven drying not only affects the qualification rate of finished products, but also may cause energy waste. Jinwanhong dryer solves this problem from the source by combining the "sprinkling device" with an intelligent control system through innovative design.





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传统烘干设备常因物料粘性颗粒差异,导致局部过热或干燥不足。例如,某化工企业在处理印染污泥时,因设备缺乏打散功能,物料在滚筒内形成团块,热风无法穿透,最终成品含水率差异高达 15%。这种不均匀性不仅影响产品稳定性,还可能导致后续加工工序效率下降,甚至引发设备堵塞故障
金万泓研发团队发现,物料团聚是均匀性的最大障碍。针对这一问题,其自主研发的打撒装置采用高速旋转的螺旋叶片,在物料进入烘干筒前进行预打散,将含水率 25%-40% 的粘性物料破碎成细小颗粒,确保后续烘干过程中每一粒物料都能充分接触热风。


Traditional drying equipment often suffers from local overheating or insufficient drying due to differences in material viscosity or particle size. For example, when a chemical enterprise was processing printing and dyeing sludge, due to the lack of dispersing function in the equipment, the material formed clumps inside the drum, and hot air could not penetrate, resulting in a final product moisture content difference of up to 15%. This unevenness not only affects the stability of the product, but may also lead to a decrease in the efficiency of subsequent processing steps, and even cause equipment blockage and failure.

The R&D team of Jin Wanhong found that material agglomeration is the biggest obstacle to uniformity. In response to this issue, its independently developed sprinkling device uses high-speed rotating spiral blades to pre disperse the viscous material with a moisture content of 25% -40% into small particles before entering the drying drum, ensuring that each particle of material can fully contact the hot air during the subsequent drying process.



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打撒装置的核心在于“动态打散 + 静态扬料” 的协同作用。当物料通过螺旋输送机进入打散腔后,高速旋转的转子通过冲击和剪切力将物料解聚,同时打散腔内的导流板引导气流形成 “气固混合流”,使物料在进入烘干筒前已处于高度分散状态。进入烘干筒后,专利设计的多级扬料板进一步将物料抛洒至热风流中,形成 “雨幕式” 接触,确保每一粒物料的受热时间温度均匀

The core of the scattering device lies in the synergistic effect of "dynamic dispersion+static lifting". After the material enters the dispersing chamber through the screw conveyor, the high-speed rotating rotor decomposes the material through impact and shear force. At the same time, the guide plate in the dispersing chamber guides the airflow to form a "gas-solid mixture flow", making the material highly dispersed before entering the drying drum. After entering the drying drum, the patented multi-stage lifting plate further throws the material into the hot air flow, forming a "rain curtain" contact to ensure uniform heating time and temperature for each particle of material.


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为进一步优化烘干效果,金万泓将 PLC 智能控制系统与打撒装置深度集成。通过实时监测物料含水率、温度场分布气流速度,系统可自动调整打散频率热风参数。例如,在处理热敏性物料时,系统会通过红外传感器动态调节烘干温度,避免局部过热导致成分破坏。
在某食品加工企业的应用中,该系统将中药饮片的烘干均匀性提升至 98%,同时能耗降低 18%。操作人员只需在触控屏上输入物料特性,系统即可生成专属烘干曲线,真正实现“一键启动,全程无忧”。这种智能化升级不仅提升了生产稳定性,还通过数据追溯功能为工艺优化提供了科学依据。

To further optimize the drying effect, Jin Wanhong deeply integrates the PLC intelligent control system with the sprinkling device. By real-time monitoring of material moisture content, temperature field distribution, and airflow velocity, the system can automatically adjust the dispersion frequency and hot air parameters. For example, when processing heat sensitive materials, the system dynamically adjusts the drying temperature through infrared sensors to avoid local overheating and component damage.
In the application of a certain food processing enterprise, the system improved the drying uniformity of traditional Chinese medicine decoction pieces to 98%, while reducing energy consumption by 18%. The operator only needs to input the material characteristics on the touch screen, and the system can generate a dedicated drying curve, truly achieving "one click start, worry free throughout the process". This intelligent upgrade not only enhances production stability, but also provides scientific basis for process optimization through data traceability function.