Pressure Sensors, Transducers

Image Part Number Description / PDF Quantity Rfq
PBT-RP8K0SN1SS0VMC0Z

PBT-RP8K0SN1SS0VMC0Z

SICK

SEN PRESS 0-8000 PSI

0

PBT-RP1K0SN1SE0UMA0Z

PBT-RP1K0SN1SE0UMA0Z

SICK

SEN PRESS 0-1000 PSI

0

PBT-RP300SN1SS0VLC0Z

PBT-RP300SN1SS0VLC0Z

SICK

SEN PRESS 0-300 PSI

0

PAC50-BCC

PAC50-BCC

SICK

SEN PRESS -1 TO 1 BAR

0

PBT-RP2K0SU1SSFALA0Z

PBT-RP2K0SU1SSFALA0Z

SICK

SEN PRESS 0-2000 PSI

0

PBT-RP300SG1SSNVMC0Z

PBT-RP300SG1SSNVMC0Z

SICK

SEN PRESS 0-300 PSI

0

PBT-RP500AN1SS0ALA0Z

PBT-RP500AN1SS0ALA0Z

SICK

SEN PRESS 0-500 PSI

0

PAC50-DCD

PAC50-DCD

SICK

SEN PRESS 0 TO 10 BAR

0

PBS-RP100SGESSSBMA0Z

PBS-RP100SGESSSBMA0Z

SICK

SEN PRESS 0-100 PSI

0

PBT-RP025SG1SSNAMA0Z

PBT-RP025SG1SSNAMA0Z

SICK

SEN PRESS 0-25 PSI

0

PBT-RP015SN1SS0UMA0Z

PBT-RP015SN1SS0UMA0Z

SICK

SEN PRESS 0-15 PSI

0

PAC50-ACC

PAC50-ACC

SICK

SEN PRESS -1 TO 0 BAR

0

PBT-RP5K0AN1SS0VMC0Z

PBT-RP5K0AN1SS0VMC0Z

SICK

SEN PRESS 0-5000 PSI

0

PBT-RP500SN1SS0ALA0Z

PBT-RP500SN1SS0ALA0Z

SICK

SEN PRESS 0-500 PSI

0

PBS-RP5K0SG1SSND5A0Z

PBS-RP5K0SG1SSND5A0Z

SICK

SEN PRESS 0-5000 PSI

0

PBT-RP100SG1SSNAMA0Z

PBT-RP100SG1SSNAMA0Z

SICK

SEN PRESS 0-100 PSI

0

PBT-RP100SN1SS0VLC0Z

PBT-RP100SN1SS0VLC0Z

SICK

SEN PRESS 0-100PSI

0

PBS-RP300SN1SS0FMA0Z

PBS-RP300SN1SS0FMA0Z

SICK

SEN PRESS 0-300 PSI

0

PBS-RP2K0SN1SS0Q5A0Z

PBS-RP2K0SN1SS0Q5A0Z

SICK

SEN PRESS 0-2000 PSI

0

PAC50-CCD

PAC50-CCD

SICK

SEN PRESS 0 TO 6 BAR

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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