New features in DynamicStudio 8.1

DynamicStudio has been updated with:

  • Dynamic background removal – great for time varying background due to e.g. reflections from rotating parts near the light sheet
  • Dark theme – more eye-friendly when working in a dark lab
  • Support for high resolution displays and text and button scaling in Windows 10 and 11

DynamicStudio makes complex measurements easy

DynamicStudio makes the hardware configuration as easy as possible so that the user can focus on the application. Most devices are plug-and-play devices: once a device is connected to the computer, DynamicStudio auto-detects the device and loads all the correct device settings.

PIV: from raw images to visualization of results
Volumetric Velocimetry around a perforated sphere

Automated Analysis and Advanced data visualization

DynamicStudio comes with advanced analysis and visualization capabilities. You can create quality 2D and 3D graphics and animations from your measured data. For traceability and comfort, no exporting and re-importing of data is necessary; all data is retained in DynamicStudio. Advanced analysis features and Post Processing routines in DynamicStudio offer lots of major and minor features that simplify the life of fluid mechanic experimentalists. Examples include:

Pressure field computed from PIV velocity map (in collaboration with von Karman Institute, Brussels, Belgium
  • Solutions for planar PIV, Volumetric Velocimetry, LIF, and Shadow sizing
  • Adaptive PIV for easy, precise and fast planar PIV data analysis
  • Volumetric Velocimetry based on 3D Tracking or reconstruction based 3D Least Squares Matching approaches
  • Uncertainty estimation and propagation compute the uncertainty of each vector and can propagate it into velocity derivatives
  • Analysis sequences to build batch processing libraries
  • Pressure from PIV Add-on which derives pressures from velocity fields
  • Easy visualization tools
  • Dynamic Masking Add-on to mask out moving objects
  • Oscillating Pattern Decomposition (OPD), a tool for modal analysis of time resolved data
  • Background Oriented Schlieren (BOS) seedingless flow visualization
BOS visualization of temperature gradients from a candle.
Dynamic masking examples. Go to our Youtube channel for the full HD resolution https://www.youtube.com/watch?v=c_UhP1_spms
Shadow tracking of rising bubbles. Courtesy TU Freiberg

Cable connection wizard

Dynamic timing and cabling diagrams and predefined device libraries are included in the software. These assist the user when configuring the system and give suggestions on how to connect the cables to the hardware.

Automated measurements

With the Acquisition Manager, you can set up a series of measurements each with different settings (e.g. traversing position, laser pulse separation or frame rate). This automatically controls attached devices such as cameras, lasers, and traversing systems.

Maximum frame rate with distributed acquisition

DynamicStudio supports combinations of different devices enabling multi-parameter measurements, such as Stereo-PIV combined with LIF. The software architecture also handles:

  • Full frame rate on all cameras in multi-camera set-ups such as stereo PIV or Volumetric Velocimetry, LIF, or large area applications with image stitching
  • Long measurement series – each PC has storage capacity for the camera connected to it
  • Remote control – the image acquisition system and the control PC can be placed at separate locations
  • Scalable performance – number of cameras, or storage capacity easily upgraded by adding PCs
  • Different camera types can be combined
Volumetric Velocimetry measurements using 4 cameras and multiple agents for higher performance
Volumetric Velocimetry measurements using 4 cameras and multiple agents for higher performance

Fast data access with distributed database

Data can be stored on separate PCs on a network and accessed from a central master PC. The master database keeps track of the distribution of the data. State-of-the-art database tools provide these advantages:

  • Capacity to store thousands of images required for good statistics or long time series
  • Simple and robust data management
  • All set-up parameters for each experiment are stored
  • Complete documentation of hardware and data processing parameters

Fast results with distributed analysis

The distributed architecture is very powerful for data analysis: you can use the full computing power of an entire network to analyze the data. This has several advantages:

  • You can control the process from a single master PC
  • Reduction of data processing time by parallel computing
  • Reduction of data transfer time by processing the data on the PC that stored the data

Data Sheets and Literature


More Information

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