학술논문

Remote Laser Diffraction Particle Size Distribution Analyzer
Document Type
Conference
Author
Source
Conference: ANS 9th International Topical Meeting on Robotics and Remote Systems,Seattle, WA,03/04/2001,03/08/2001
Subject
99 - GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE DIFFRACTION
DISTRIBUTION
IDAHO CHEMICAL PROCESSING PLANT
LASERS
LIGHT SCATTERING
NUCLEAR FUELS
PARTICLE SIZE
RADIOACTIVE WASTE MANAGEMENT
STAINLESS STEELS
STORAGE FACILITIES INEEL
INTEC
laser diffraction
slurry sampling
SNF
INEEL
Language
English
Abstract
In support of a radioactive slurry sampling and physical characterization task, an “off-the-shelf” laser diffraction (classical light scattering) particle size analyzer was utilized for remote particle size distribution (PSD) analysis. Spent nuclear fuel was previously reprocessed at the Idaho Nuclear Technology and Engineering Center (INTEC—formerly recognized as the Idaho Chemical Processing Plant) which is on DOE’s INEEL site. The acidic, radioactive aqueous raffinate streams from these processes were transferred to 300,000 gallon stainless steel storage vessels located in the INTEC Tank Farm area. Due to the transfer piping configuration in these vessels, complete removal of the liquid can not be achieved. Consequently, a “heel” slurry remains at the bottom of an “emptied” vessel. Particle size distribution characterization of the settled solids in this remaining heel slurry, as well as suspended solids in the tank liquid, is the goal of this remote PSD analyzer task. A Horiba Instruments Inc. Model LA-300 PSD analyzer, which has a 0.1 to 600 micron measurement range, was modified for remote application in a “hot cell” (gamma radiation) environment. This technology provides rapid and simple PSD analysis, especially down in the fine and microscopic particle size regime. Particle size analysis of these radioactive slurries down in this smaller range was not previously achievable—making this technology far superior than the traditional methods used. Successful acquisition of this data, in conjunction with other characterization analyses, provides important information that can be used in the myriad of potential radioactive waste management alternatives.