Engineering topics
Dolan, III, Daniel H
Publications and source records attributed to Dolan, III, Daniel H.
Solid liner implosions on the Z accelerator for obtaining off-Hugoniot equation of state data to %7E10 Mbar.
Abstract Not Provided
Freezing of liquid water under combined compression and electric fields.
Abstract Not Provided
Optical velocimetry: probing matter at extreme conditions.
Abstract Not Provided
Welcome to the PDV workshop (2 days) Extreme velocity: PDV in cylindrical compression experiments.
Abstract Not Provided
Complexities complications and other gory details of Photonic Doppler Velocimetry.
Abstract Not Provided
Use of a Shock-Ramp Capability on the Sandia Z Machine to Investigate Dynamic Re-solidification in Tin.
Abstract Not Provided
Velocimetry signal synthesis with fringen.
An important part of velocimetry analysis is the recovery of a known velocity history from simulated data signals. The fringen program synthesizes VISAR and PDV signals, given a specified velocity history, using exact formulations for the optical signal. Time-dependent light conditions, non-ideal measurement conditions, and various diagnostic limitations (noise, etc.) may be incorporated into the simulated signals. This report describes the fringen program, which performs forward VISAR (Velocity Interferometer System for Any Reflector) and PDV (Photonic Doppler Velocimetry, also known as heterodyne velocimetry) analysis. Nearly all effects that might occur in VISAR/PDV measurement of a single velocity can be modeled by fringen. The program operates in MATLAB, either within a graphical interface or as a user-callable function. The current stable version of fringen is 0.3, which was released in October 2010. The following sections describe the operation and use of fringen. Section 2 gives a brief overview of VISAR and PDV synthesis. Section 3 illustrates the graphical and console interface of fringen. Section 4 presents several example uses of the program. Section 5 summarizes program capabilities and discusses potential future work.
Dynamic temperature measurements with embedded optical sensors.
No abstract prepared.
What is the limiting performance of PDV (really)?
The limiting performance of PDV is determined by power spectrum location resolution - The uncertainty principle overestimates error and peak fit confidences underestimates error. Simulations indicate that PDV is: (1) Inaccurate and imprecise at low frequencies; (2) Accurate and (potentially) precise otherwise; (3) Limiting performance can be tied to sampling rate, noise fraction, and analysis duration. Frequency conversion is a good thing. PDV is competitive with VISAR, despite wavelength difference.
PDV modifications.
External modifications can transform a conventional photonic doppler velocimetry (PDV) system to other useful configurations - Non-standard probes and Frequency-conversion measurements. This approach is easier than supporting every conceivable measurement in the core PDV design. Circulator specifications may be important - -30 dB isolation (common) probably not be enough, -50 dB isolation is available, and some bench testing may be needed.