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Dive into the research topics where Stephen Neidigk is active.

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Featured researches published by Stephen Neidigk.


Journal of Composite Materials | 2016

Non-destructive evaluation of composite repairs by using infrared thermography:

Anish Poudel; Keven R. Mitchell; Tsuchin Philip Chu; Stephen Neidigk; Carl Jacques

Composite structures are found in modern aircraft designs ranging from air transport to general aviation. Maintenance repair technology varies for each original equipment manufacturer and aircraft type. This research reports on two different composite repair methods commonly used within the composite aviation industry and how they compare when inspected with transient infrared thermography non-destructive evaluation technique. Composite sandwich test coupons made with carbon fiber laminate, nomex honeycomb, and glass fiber laminate were used for this work. Impact damages were generated in the sandwich test coupons and repairs were conducted by following repair procedures of two leading general aviation composite aircraft manufactures. During the repair process, controlled flaws were also induced to simulate bad repairs with weak bond areas, disbonds, and excessive porosity. During transient infrared thermography, several patches were identified that contained wrinkles, porosity, and disbond defects in the repaired panels. The indications were evaluated utilizing the time vs. temperature plot curves and profile data. The porosity indications displayed significant variations compared to the surrounding areas and were subsequently deemed defects as a result of the data.


Structural Health Monitoring-an International Journal | 2015

Implementation of Structural Health Monitoring (SHM) into an Airline Maintenance Program

David Piotrowski; Dennis P. Roach; Alex Melton; John Bohler; Thomas M. Rice; Stephen Neidigk; John Linn

Delta Air Lines has partnered with Sandia National Labs, FAA, Boeing, Anodyne Electronics Manufacturing Corp. (AEM), and Structural Measurement Systems (SMS) on a novel SHM program using Comparative Vacuum Monitoring (CVM) sensors. The goal is to produce regulatory guidance that will enable widespread adoption of SHM across the commercial aviation industry. This “blueprint” is required since current regulations do not define SHM, nor validation and certification of SHM required for implementation. doi: 10.12783/SHM2015/338


33rd Wind Energy Symposium | 2015

Development and Assessment of Advanced Inspection Methods for Wind Turbine Blades Using a Focused WINDIE Experiment.

Dennis P. Roach; Stephen Neidigk; Thomas M. Rice; Randy L Duvall; Joshua A. Paquette

Wind turbine blades pose a unique set of inspection challenges that span from very thick and attentive spar cap structures to porous bond lines, varying core material and a multitude of manufacturing defects of interest. The need for viable, accurate nondestructive inspection (NDI) technology becomes more important as the cost per blade, and lost revenue from downtime, grows. NDI methods must not only be able to contend with the challenges associated with inspecting extremely thick composite laminates and subsurface bond lines but must also address new inspection requirements stemming from the growing understanding of blade structural aging phenomena. Under its Blade Reliability Collaborative program, Sandia Labs quantitatively assessed the performance of a wide range of NDI methods that are candidates for wind blade inspections. Custom wind turbine blade test specimens, containing engineered defects, were used to determine critical aspects of NDI performance including sensitivity, accuracy, repeatability, speed of inspection coverage, and ease of equipment deployment. The Sandia Wind NDI Experiment (WINDIE) was completed to evaluate fifteen different NDI methods that have demonstrated promise for interrogating wind blades for manufacturing flaws or in-service damage. These tests provided the information needed to identify the applicability and limitations of advanced inspection methods for wind turbine blades. Ultimately, the proper combination of several inspections methods may be required to produce the best inspection sensitivity and reliability for both near-surface and deep, subsurface damage. Based on these results, phased array ultrasonics was selected for further development and introduction at blade manufacturing facilities. Hardware was developed and customized to optimize UT sensitivity and deployment to address blade inspection needs. Inspection procedures were produced and beta tested at blade production facilities. This study has identified one optimum overall NDI method while determining complimentary NDI methods that can be applied to produce a comprehensive blade inspection system. The detection of fabrication defects helps enhance plant reliability and increase blade life while improved inspection of operating blades can result in efficient blade maintenance, facilitate repairs before critical damage levels are reached and minimize turbine downtime.


Structural Health Monitoring-an International Journal | 2015

Establishing the Reliability of SHM Systems Through the Extrapolation of NDI Probability of Detection Principles

Dennis P. Roach; Thomas M. Rice; Stephen Neidigk; David Piotrowski; John Linn

Extensive Structural Health Monitoring (SHM) studies have highlighted the ability of various sensors to detect common flaws found in composite and metal structures with sensitivities that meet or exceed current damage detection requirements. Reliable SHM systems can automatically process data, assess structural condition, and signal the need for human intervention. While ad-hoc efforts to introduce SHM into routine aircraft maintenance practices are valuable in leading the way for more widespread SHM use, there is a significant need for formal SHM certification efforts to exercise and define the process of producing routine use of SHM solutions. SHM certification must address the full spectrum of issues ranging from design to performance and deployment to continued airworthiness. Currently, there are no guidelines for SHM system designers or agreed-upon procedures for quantifying the performance of SHM systems. The FAA Airworthiness Assurance Center (AANC) at Sandia Labs, in conjunction with Boeing, Delta Air Lines, Structural Monitoring Systems and Anodyne Electronic Manufacturing, is conducting a study to develop and carry out a certification process for SHM. By conducting a focused assessment of a particular aircraft application, all aspects of SHM integration are being addressed. While it is important to recognize the unique validation and verification tasks that arise from distinct differences between SHM and nondestructive inspection (NDI) deployment and flaw detection, it should be recognized that some portions of the methodology needed to determine NDI performance can be adapted to the validation of SHM systems. In this study, statistical methods were applied to laboratory and flight test data to derive Probability of Detection (POD) values for SHM sensors in a fashion that agrees with current NDI requirements. doi: 10.12783/SHM2015/330


Proceedings of SPIE | 2014

Use of nondestructive inspection and fiber optic sensing for damage characterization in carbon fiber fuselage structure

Stephen Neidigk; Jacqui Le; Dennis P. Roach; Randy L Duvall; Thomas M. Rice

To investigate a variety of nondestructive inspection technologies and assess impact damage characteristics in carbon fiber aircraft structure, the FAA Airworthiness Assurance Center, operated by Sandia National Labs, fabricated and impact tested two full-scale composite fuselage sections. The panels are representative of structure seen on advanced composite transport category aircraft and measured approximately 56”x76”. The structural components consisted of a 16 ply skin, co-cured hat-section stringers, fastened shear ties and frames. The material used to fabricate the panels was T800 unidirectional pre-preg (BMS 8-276) and was processed in an autoclave. Simulated hail impact testing was conducted on the panels using a high velocity gas gun with 2.4” diameter ice balls in collaboration with the University of California San Diego (UCSD). Damage was mapped onto the surface of the panels using conventional, hand deployed ultrasonic inspection techniques, as well as more advanced ultrasonic and resonance scanning techniques. In addition to the simulated hail impact testing performed on the panels, 2” diameter steel tip impacts were used to produce representative impact damage which can occur during ground maintenance operations. The extent of impact damage ranges from less than 1 in2 to 55 in2 of interply delamination in the 16 ply skin. Substructure damage on the panels includes shear tie cracking and stringer flange disbonding. It was demonstrated that the fiber optic distributed strain sensing system is capable of detecting impact damage when bonded to the backside of the fuselage.


Archive | 2012

Ultrasonic testing device having an adjustable water column

Dennis P. Roach; Stephen Neidigk; Kirk A. Rackow; Randy L Duvall


Archive | 2011

Does the Maturity of Structural Health Monitoring Technology Match User Readiness

Dennis P. Roach; Stephen Neidigk


Archive | 2016

A Composite NDI Training Course to Address the Growing Need for Composite Laminate Inspections.

Stephen Neidigk; Dennis P. Roach; Thomas M. Rice


Archive | 2015

Non-Destructive Inspection of Blades.

Joshua A. Paquette; Thomas M. Rice; Stephen Neidigk; Dennis P. Roach; Randy L Duvall


Archive | 2015

FAA Composite Inspector Training Course to Enhance Proficiency and Improve Reliability.

Stephen Neidigk; Dennis P. Roach; Thomas M. Rice; Randy L Duvall

Collaboration


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Dennis P. Roach

Sandia National Laboratories

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Thomas M. Rice

Sandia National Laboratories

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Randy L Duvall

Sandia National Laboratories

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Joshua A. Paquette

Sandia National Laboratories

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Anish Poudel

Southern Illinois University Carbondale

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Carl Jacques

Sandia National Laboratories

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Jacqui Le

University of California

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Keven R. Mitchell

Southern Illinois University Carbondale

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Kirk A. Rackow

Sandia National Laboratories

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Tsuchin Philip Chu

Southern Illinois University Carbondale

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