Data Acquisition Technologies

Capturing performance data directly in the lab or from the field for analysis is at the heart of all PAMI’s testing services. Without data acquisition equipment that can capture a wide range of precise and repeatable data at high sample rates, PAMI could not deliver the highly respected services it does.

Equally important is ensuring captured data can be effectively analyzed and interpreted with powerful data assessment programs and integrated with other PAMI systems and software.

Following are data-capture capabilities in the PAMI toolbox:

  • Multi-channel temperature measurement
  • Light testing capability (with precision radiometer including flashing light integration capability)
  • Precision air flow measurement (by anemometer, or manometer and orifice plates)
  • Ultrasonic thickness-measurement testing
  • Dust particle measurement down to 2 micron particle size.
  • Remote weather stations (for on-site continuous data logging of humidity, rainfall and wind speed)
  • Mobile vibration, force and acceleration logging.

Featuring the Industry-Leading Somat Edaq Data Acquisition System

PAMI has standardized on the fully mobile Somat eDaq * data acquisition system at both its Portage la Prairie and Humboldt operations.  These systems feature selectable sample rates up to 100,000 samples/second and collect data on such parameters as force, strain, acceleration, pressure, temperature, speed, flow, torque and displacement. The data can be easily imported to data analysis programs and used as critical inputs to drive the the product development process.
* The Somat eDaq data acquisition system is supported through co-operation with the Vehicle Technology Centre

Applications for Testing Data

Data captured during testing can be used in many ways:

  • Aiding in the Design Process: In-service data provides known inputs and responses useful to the designer during the product development cycle.
  • Accelerated Durability and Simulation Testing: Tests cost money and take time, so extracting as much information as possible from every test using advanced editing and analysis techniques is critical.

Simulation software optimizes testing to maximize laboratory productivity and helps transform data into useful, functional information through advanced analysis and damage editing. That means less time in development and faster time to market.

Typically, the initial step in the process is to collect meaningful information about the “real-world” operating environment through field-recorded data. During test modeling and simulation, information obtained through dynamic monitoring of the equipment under test provides valuable, sometimes critical, information about the character of its performance. Laboratory testing lets engineers duplicate the environment components are subjected to and observe failures that occur.

  • Force and Load Life-Cycle Testing: A component can be subjected to an entire life cycle in the lab in a short period of time. Drive files can be created for lab tests using block loading or Remote Parameter Control (RPC) simulation techniques.
  • Component Life Estimating: PAMI’s computer software combines actual strain information with known physical properties of the components material to estimate the component’s useable life. This information helps the designers to assess the effects of material composition, surface finish and other factors on service life.
  • Component Stress Analysis: Measuring actual stress characteristics (through strain measurement) gives designers valuable information to use in determining material, shape and size decisions.
  • Computer Simulation: Stress and strain values can be determined and incorporate into FEA models.

Benefits

Effectively using test data provides many benefits:

  • Critical design information helps minimize machine production costs as well as warranty costs.
  • Information is available at various levels of detail – clients get the detail needed at minimum cost.
  • Computerized analysis allows laboratory-testing set ups to accurately simulate field conditions.
  • Designs based on measured stress values are more accurate than designs using assumed stress values.
  • Minimizing field testing by effectively deploying field data and replicating field performance in the lab reduces development costs.