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Optics Damage Inspection for the NIF.

Optics Damage Inspection for the NIF.
Author:
Publisher:
Total Pages: 18
Release: 1998
Genre:
ISBN:

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Two optics damage inspection systems will be implemented on the National Ignition Facility (NIF), one to inspect optics within the laser and transport sections and the other to inspect the final optics at the target chamber. Both systems use dark-field imaging technology to enhance resolution of defects. Details of each system design will be provided. A functional optics damage inspection system prototype, using dark-field imaging technology, is currently in operation on the Beamlet laser. This system provides us with the opportunity to measure non-ideal optical surfaces expected to be present on NIF. Prototype details and performance will be presented.


Final Optics Damage Inspection (FODI) for the National Ignition Facility

Final Optics Damage Inspection (FODI) for the National Ignition Facility
Author:
Publisher:
Total Pages: 14
Release: 2007
Genre:
ISBN:

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The National Ignition Facility (NIF) at the Lawrence Livermore National Laboratory (LLNL) will routinely fire high energy shots (approaching 10 kJ per beamline) through the final optics, located on the target chamber. After a high fluence shot, exceeding 4J/cm2 at 351 nm wavelength, the final optics will be inspected for laser-induced damage. The FODI (Final Optics Damage Inspection) system has been developed for this purpose, with requirements to detect laser-induced damage initiation and to track and size it's the growth to the point at which the optic is removed and the site mitigated. The FODI system is the 'corner stone' of the NIF optic recycle strategy. We will describe the FODI system and discuss the challenges to make optics inspection a routine part of NIF operations.


Behavioral Model of High Performance Camera for NIF Optics Inspection

Behavioral Model of High Performance Camera for NIF Optics Inspection
Author:
Publisher:
Total Pages: 4
Release: 2007
Genre:
ISBN:

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The purpose of this project was to develop software that will model the behavior of the high performance Spectral Instruments 1000 series Charge-Coupled Device (CCD) camera located in the Final Optics Damage Inspection (FODI) system on the National Ignition Facility. NIF's target chamber will be mounted with 48 Final Optics Assemblies (FOAs) to convert the laser light from infrared to ultraviolet and focus it precisely on the target. Following a NIF shot, the optical components of each FOA must be carefully inspected for damage by the FODI to ensure proper laser performance during subsequent experiments. Rapid image capture and complex image processing (to locate damage sites) will reduce shot turnaround time; thus increasing the total number of experiments NIF can conduct during its 30 year lifetime. Development of these rapid processes necessitates extensive offline software automation -- especially after the device has been deployed in the facility. Without access to the unique real device or an exact behavioral model, offline software testing is difficult. Furthermore, a software-based behavioral model allows for many instances to be running concurrently; this allows multiple developers to test their software at the same time. Thus it is beneficial to construct separate software that will exactly mimic the behavior and response of the real SI-1000 camera.


Effective and Efficient Optics Inspection Approach Using Machine Learning Algorithms

Effective and Efficient Optics Inspection Approach Using Machine Learning Algorithms
Author:
Publisher:
Total Pages: 9
Release: 2010
Genre:
ISBN:

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The Final Optics Damage Inspection (FODI) system automatically acquires and utilizes the Optics Inspection (OI) system to analyze images of the final optics at the National Ignition Facility (NIF). During each inspection cycle up to 1000 images acquired by FODI are examined by OI to identify and track damage sites on the optics. The process of tracking growing damage sites on the surface of an optic can be made more effective by identifying and removing signals associated with debris or reflections. The manual process to filter these false sites is daunting and time consuming. In this paper we discuss the use of machine learning tools and data mining techniques to help with this task. We describe the process to prepare a data set that can be used for training and identifying hardware reflections in the image data. In order to collect training data, the images are first automatically acquired and analyzed with existing software and then relevant features such as spatial, physical and luminosity measures are extracted for each site. A subset of these sites is 'truthed' or manually assigned a class to create training data. A supervised classification algorithm is used to test if the features can predict the class membership of new sites. A suite of self-configuring machine learning tools called 'Avatar Tools' is applied to classify all sites. To verify, we used 10-fold cross correlation and found the accuracy was above 99%. This substantially reduces the number of false alarms that would otherwise be sent for more extensive investigation.


3[omega] Damage Threshold Evaluation of Final Optics Components Using Beamlet Mule and Off-line Testing

3[omega] Damage Threshold Evaluation of Final Optics Components Using Beamlet Mule and Off-line Testing
Author:
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Total Pages:
Release: 1998
Genre:
ISBN:

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A statistics-based model is being developed to predict the laser-damage-limited lifetime of UV optical components on the NIF laser. In order to provide data for the model, laser damage experiments were performed on the Beamlet laser system at LLNL. An early prototype NIF focus lens was exposed to twenty 35 1 nm pulses at an average fluence of 5 J/cm2, 3ns. Using a high resolution optic inspection system a total of 353 damage sites was detected within the 1160 cm2 beam aperture. Through inspections of the lens before, after and, in some cases, during the campaign, pulse to pulse damage growth rates were measured for damage initiating both on the surface and at bulk inclusions. Growth rates as high as 79 [mu]m/pulse (surface diameter) were observed for damage initiating at pre-existing scratches in the surface. For most damage sites on the optic, both surface and bulk, the damage growth rate was approximately l0[mu]m/pulse. The lens was also used in Beamlet for a subsequent 1053 [mu]m/526 [mu]m campaign. The 352 [mu]m-initiated damage continued to grow during that campaign although at generally lower growth rate.


NIF Small Optics Laser Damage Test Specifications

NIF Small Optics Laser Damage Test Specifications
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Total Pages:
Release: 1999
Genre:
ISBN:

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The Laser Damage Group is currently conducting tests on small optics samples supplied for initial evaluation of potential NIF suppliers. This document is meant to define the specification of laser-induced damage for small optics and the test methods used to collect the data. A rating system which will be applied for vendor selection is presented. Presented here is the plan for qualification of NIF small optics vendors based on laser damage performance. The raster scan test method was chosen in order to provide for testing of significant areas of the samples. The vendor performance at a given fluence is categorized as either ''qualified'', ''probable'', or ''fail'', depending on the level of damage observed. This binning system allows a conservative stance for qualification, while providing some insight into lever of risk associated with a lowering on the specifications. The R: 1 mapping technique is reserved in cases where comparisons, not qualifications are needed. Once suppliers are selected, an less intensive pass/fail test will be instituted for production optics.


Opto-Mechanical Systems Design, Volume 1

Opto-Mechanical Systems Design, Volume 1
Author: Paul Yoder
Publisher: CRC Press
Total Pages: 711
Release: 2017-12-19
Genre: Science
ISBN: 1351830953

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Opto-Mechanical Systems Design, Fourth Edition is different in many ways from its three earlier editions: coauthor Daniel Vukobratovich has brought his broad expertise in materials, opto-mechanical design, analysis of optical instruments, large mirrors, and structures to bear throughout the book; Jan Nijenhuis has contributed a comprehensive new chapter on kinematics and applications of flexures; and several other experts in special aspects of opto-mechanics have contributed portions of other chapters. An expanded feature—a total of 110 worked-out design examples—has been added to several chapters to show how the theory, equations, and analytical methods can be applied by the reader. Finally, the extended text, new illustrations, new tables of data, and new references have warranted publication of this work in the form of two separate but closely entwined volumes. This first volume, Design and Analysis of Opto-Mechanical Assemblies, addresses topics pertaining primarily to optics smaller than 50 cm aperture. It summarizes the opto-mechanical design process, considers pertinent environmental influences, lists and updates key parameters for materials, illustrates numerous ways for mounting individual and multiple lenses, shows typical ways to design and mount windows and similar components, details designs for many types of prisms and techniques for mounting them, suggests designs and mounting techniques for small mirrors, explains the benefits of kinematic design and uses of flexures, describes how to analyze various types of opto-mechanical interfaces, demonstrates how the strength of glass can be determined and how to estimate stress generated in optics, and explains how changing temperature affects opto-mechanical assemblies.