51196694-904 51196694904 HONEYWELL Industrial keyboard panel
⇒ Click here for good price 51196694-904
| Brand/Manufacturer | HONEYWELL/USA |
| Part Number | 51196694-904 |
| Alternate Part Number | 51196694-904 |
| Description | Industrial keyboard panel |
| Dimennsions | 28.5cm x 8.5cm x 4.0cm |
| Weight | 0.8kg |
Product Details
SPECIFICATIONS
Pressure ranges 2000, 3000, 5000, 7500, 10000 psid
Accuracy ±0.5 % full scale
Linearity ±0.25 % full scale (typical)
Hysteresis ±0.13 % full scale (typical)
Non-repeatability ±0.07 % full scale (typical)
Output (standard) 2 mV/V (nominal)
Line pressure 2000 psi
Resolution Infinite
Temperature, operating -54 °C to 121 °C [-65 °F to 250 °F]
Temperature, compensated 15 °C to 71 °C [60 °F to 160 °F]
Temperature, effect, zero ±0.75 % full scale/100 °F
Temperature, effect, span ±1.0 % reading/100 °F
Strain gage type Bonded foil
Excitation (calibration) 10 Vdc
Bridge resistance 350 ohm (nominal)
Shunt calibration data Included
Elec. termination (std) PTIH-10-6P or equivalent (hermetic
stainless)
Mating connector (not incl.) PT06A-10-6S or equiv. (AA111)
Media Gas, liquid
Overload-safe 2000 psid to 3000 psid 100% over capacity
Overload-safe 5000 psid to 10000 psid 50% over capacity
Pressure port 1/4-18 NPT female (2)
Wetted parts material 17-4 PH stainless steel
Case material Stainless steel
HONEYWELL News
How Artificial Intelligence Keeps This Oil Company Running
Three million barrels of oil a day are produced by the Abu Dhabi
National Oil Company (ADNOC.)
That’s equivalent to 126 million U.S. gallons.
To refine that crude oil into petroleum, operations must be as
efficient as possible. Refineries need to avoid the biggest culprit
that can cause everything to go down: Unexpected maintenance.
For example, if a critical compressor breaks – and the refinery
must pause production while it is repaired – that hurts the bottom
line.
“It costs millions of dollars if ADNOC loses even one day of
production,” said Honeywell principal application engineer
Meenakshi Krishnaswamy.
Here’s how we’re working with ADNOC to deploy and maintain
artificial intelligence (AI) models to drive greater efficiencies
across ADNOC's Upstream and Downstream operations.
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