Pressure Sensors, Transducers

Image Part Number Description / PDF Quantity Rfq
PAC50-ACD

PAC50-ACD

SICK

SEN PRESS -1 TO 0 BAR

0

PBS-RP030SN1SS0BMA0Z

PBS-RP030SN1SS0BMA0Z

SICK

SEN PRESS 0-30 PSI

0

PBS-RP500SN1SS0AMA0Z

PBS-RP500SN1SS0AMA0Z

SICK

SEN PRESS 0-500 PSI

0

PBT-RP300SG1MSNUMA0Z

PBT-RP300SG1MSNUMA0Z

SICK

SEN PRESS 0-300 PSI

0

PBS-RP2K0SN1SS0CMA0G

PBS-RP2K0SN1SS0CMA0G

SICK

SEN PRESS 0-2000 PSI

0

PAC50-DGD

PAC50-DGD

SICK

SEN PRESS 0 TO 10 BAR

0

PBS-RP1K0SN1SS0E5A0Z

PBS-RP1K0SN1SS0E5A0Z

SICK

SEN PRESS 0-1000 PSI

0

PBT-RP160SN1SE0AMA0Z

PBT-RP160SN1SE0AMA0Z

SICK

SEN PRESS 0-160 PSI

0

PAC50-CGC

PAC50-CGC

SICK

SEN PRESS 0 TO 6 BAR

0

PAC50-AGC

PAC50-AGC

SICK

SEN PRESS -1 TO 0 BAR

0

PBS-RP015SN1SS0NMA0Z

PBS-RP015SN1SS0NMA0Z

SICK

SEN PRESS 0-15 PSI

0

PBS-RP5K0SN1SS0CMA0Z

PBS-RP5K0SN1SS0CMA0Z

SICK

SEN PRESS 0-5000 PSI

0

PBS-RP1K0SN1SS0CMA0Z

PBS-RP1K0SN1SS0CMA0Z

SICK

SEN PRESS 0-1000 PSI

0

PAC50-BCB

PAC50-BCB

SICK

SEN PRESS -1 TO 1 BAR

0

PBS-RP200SG2SS0D5A0Z

PBS-RP200SG2SS0D5A0Z

SICK

SEN PRESS 0-200 PSI

0

PAC50-CCC

PAC50-CCC

SICK

SEN PRESS 0 TO 6 BAR

0

PBS-RP050SN1SS0CMA0Z

PBS-RP050SN1SS0CMA0Z

SICK

SEN PRESS 0-50 PSI

0

PBS-RP3K0SN1SS0E5A0Z

PBS-RP3K0SN1SS0E5A0Z

SICK

SEN PRESS 0-3000 PSI

0

PBT-RP1K0SN1SS0ALA0Z

PBT-RP1K0SN1SS0ALA0Z

SICK

SEN PRESS 0-1000 PSI

0

PAC50-FGD

PAC50-FGD

SICK

PAC50-FGD

0

Pressure Sensors, Transducers

1. Overview

Pressure sensors and transducers are devices that convert mechanical pressure signals into electrical outputs. They serve as critical components in monitoring and controlling pressure in various systems. Modern industrial automation, medical diagnostics, and automotive safety systems rely on their precise measurements to ensure operational efficiency and safety.

2. Main Types and Functional Classification

TypeFunctional CharacteristicsApplication Examples
Strain GaugeHigh accuracy, stable output, requires bridge circuitIndustrial machinery, load cells
PiezoresistiveMiniaturized design, high sensitivity, temperature-dependentMedical blood pressure monitors
CapacitiveLow power consumption, corrosion-resistant, nonlinear outputAerospace altitude sensors
PiezoelectricSelf-generating, dynamic pressure measurementEngine combustion analysis
Optical FiberImmune to EMI, suitable for harsh environmentsOil well downhole monitoring

3. Structure and Components

Typical components include:

  • Pressure port (stainless steel/ceramic diaphragm)
  • Sensing element (MEMS silicon chip, strain gauge)
  • Signal conditioning circuit (amplifier, ADC)
  • Output interface (4-20mA, I2C, CANbus)
  • Environmental sealing (IP67 rating standard)

4. Key Technical Specifications

ParameterImportance
Measurement Range (0-10kPa to 0-100MPa)Determines operational limits
Accuracy ( 0.1% FS to 2% FS)Impacts system reliability
Output Signal (Analog/digital)Affects compatibility with control systems
Temperature Range (-40 C to +150 C)Defines environmental adaptability
Response Time (1ms to 100ms)Critical for dynamic pressure monitoring

5. Application Fields

Major industries:

  • Industrial Automation (hydraulic system monitoring)
  • Automotive (engine MAP sensors, TPMS)
  • Medical (ventilator pressure control)
  • Aerospace (flight control surface pressure)
  • Consumer Electronics (smartwatches for altitude tracking)

6. Leading Manufacturers and Products

ManufacturerRepresentative Product
HoneywellPPT0010 (0-10psi MEMS sensor)
Bosch SensortecBMP580 (barometric pressure sensor)
TE ConnectivityPPT0001NN1A3 (high-temperature sensor)
WIKAA-1100.75 (industrial process sensor)
OmronD6F-PH (low-pressure airflow sensor)

7. Selection Guidelines

Key considerations:

  • Pressure range with 20% safety margin
  • Environmental factors (temperature, vibration)
  • Signal compatibility (analog/digital requirements)
  • Material selection for corrosive environments
  • Cost vs. long-term stability trade-offs

8. Industry Trends

Emerging developments:

  • MEMS integration for miniaturization
  • Wireless pressure sensing nodes
  • AI-enabled predictive maintenance systems
  • New materials like graphene for ultra-sensitive detection
  • Energy-harvesting self-powered sensors

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