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MYA 0.8/3.4Y PLUS Microbalance, 0.8/3g Capacity, 1/10µg Readability, RADWAG (CAT#: STEM-AI-0759-Y)

Highlights

Ergonomic design.
Anti-static pane paint can compensate for the accumulated static electricity.
Reflective gradient system with a new automatic level system.

Cat Number: STEM-AI-0759-Y

Application: The balance guarantees the highest quality, precision and reliability.

Model: MYA 0,8/3.4Y PLUS

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Description

The microbalance is manufactured by RADWAG, the balance is a professional instrument that can meet the most demanding application needs.

Specification

Maximum capacity [Max]: 0.8 / 3 g
Minimum load: 100 µg
Readability [d]:1 / 10 µg
Tare range: -3 g
Standard repeatability [5% Max]: 0.8 µg
Standard repeatability [Max]: 4.1 µg
Standard minimum weight (USP): 1.6 mg
Standard minimum weight (U=1%, k=2): 0.16 mg
Permissible repeatability [5% Max]: 1.2 µg
Permissible repeatability [5% Max]: 6 µg
Linearity: ±3/10 µg
Eccentric load deviation: 3/10 µg
Stabilization time: max 8 s
Adjustment: internal (automatic)
OIML Class: I
Display: 5.7" resistive colour touchscreen
Communication interface: 2×RS232, 2×USB-A, Ethernet, 4 IN / 4 OUT (digital), Wi-Fi®
Power supply: 100 ÷ 240 V AC 50 / 60 Hz
Power consumption max.700 mA (wireless terminal - 1A)
Operating temperature+10 ÷ +40 °C
Operating temperature change rate±0.3°C/1h (±1°C/8h)
Relative humidity change rate: ±1%/h (±4%/8h)
Weighing chamber dimensions: ø90×90 mm
Weighing pan dimensions: ø16 + ø60 (for filters) mm
Packaging dimensions: 660×660×455 mm
Net weight: 9.1 kg
Gross weight: 16.6 kg

Features

Ergonomic design.
Anti-static pane paint can compensate for the accumulated static electricity.
Reflective gradient system with a new automatic level system.
The two-point adjustment system ensures the highest measurement accuracy.
With "smart minimum weight" function.
16 GB RAM provides the possibility to record data in the form of complex reports.
Wi-Fi® modules can use special applications dedicated to data management.
With ALIBI memory, designed to provide protection and automatically record measured values.
Using dual-core 2 x 1 GB processors, it can significantly improve performance.

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