Hotline: 0984.843.683 Email: info@ttech.vn  Zalo: 0984.843.683

Máy đo độ bụi trong chất lỏng HSLIS-M65e PME

Mã sản phẩm: HSLIS-M65e
Sử dụng cho Model:
Hãng SX: PME
Xuất xứ
Bảo hành
Tình trạng

Tình trạng: Còn hàng

Đặt hàng
Sensitivity range: 0.06 - 0.2 µm

Liên Hệ Hỗ Trợ

    • SĐT: 0984 843 683

    • Mail: info@ttech.vn

      • Zalo: 0984.843.683

Thông tin sản phẩm

The High Sensitivity Liquid in Situ (HSLIS-M65e) Particle Counter provides continuous, real-time monitoring of contamination levels in corrosive liquids, including hydrogen fluoride (HF). The HSLIS Liquid Particle Counter makes it easy to always understand the characteristics of your working fluid. The combination of high sensitivity and low cost makes it ideal when large numbers of sensors and/or long-term trending are required. Integration of the HSLIS Liquid Particle Counter into FacilityNet Software provides an economical way to monitor multiple flow systems and provide dedicated local display and control capabilities.


Features


  • 4 channel liquid particle counter
  • 0.065, 0.1, 0.15 and 0.2 μm size range
  • Operates with an optimal flow rate of 100 ml/min. +/-10%
  • Samples 0.6% of the flow volume or 0.6 ml/min
  • Compatible with corrosive liquids, including hydrogen fluoride (HF)
  • eSeries compatible with FacilityNet Software
  • Existing network can be utilized with ethernet communication to FacilityNet Software

Benefits


  • Monitor for long-term trends in fluid quality
  • Lower overall costs with the control and monitoring of multiple particle counters with Ethernet networks
  • Low initial capital investment and lower maintenance cost with proven reliability of the HSLIS design
  • Tabular and statistical process control (SPC) charts for detailed statistical information
  • Alphanumeric paging and e-mailing functions to alert operator of data excursions
  • Sensor status displays four-level alarm for monitoring out-of-spec conditions
  • Simplified data interpretation with real-time and retrieved data time plots


Applications


  • Monitoring chemical delivery systems
  • Measuring filter efficiency
  • Episodic event tracking and alarming
  • Continuous system monitoring


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