Upgrade Transonic Compressor Test Rig Data Acquisition System

Abstract

This thesis presents an upgraded data acquisition system (DAS) for the transonic compressor test rig (TCR). The legacy DAS acquired and processed pressure, temperature, and rotational speed data. The data were mass averaged, and the performance of the compressor was measured and compared to that acquired by the legacy system. Total-to-total pressure ratio and isentropic efficiency versus corrected mass flow rate were compared at speeds of 70 , 80 , 85 , and 90 of the design speed. The legacy DAS was robust but outdated compared to currently available technology. This thesis documents new hardware from National Instruments that was procured and integrated into the DAS. New software programming using commercial-off-the-shelf- software (NI-MAX, DsaLink3, and MATLAB) for acquiring data, processing data, displaying results, and generating reports was also implemented and documented. Data output files between the legacy DAS and new DAS were within reasonable tolerances and all functionality of the system was maintained.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2018
Accession Number
AD1059751

Entities

People

  • Thomas D. Belna

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Acquisition
  • Air Flow
  • Compressors
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Acquisition
  • Data Processing
  • Data Reduction
  • Efficiency
  • Equations
  • Flow Rate
  • Graphical User Interface
  • Heat Capacity
  • Human-Machine Interfaces
  • Mass Flow
  • Measurement
  • Network Protocols
  • Operating Systems
  • Organizational Structure
  • Pressure Measurement
  • Specific Heat
  • Stagnation Pressure
  • Static Pressure
  • User Interface

Readers

  • Aerodynamics.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Software Engineering.