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News Article | December 2, 2016
Site: www.newsmaker.com.au

According to Stratistics MRC, Global Failure Analysis market is accounted for $4.82 billion in 2015 and is expected to reach $8.3 billion by 2022 to grow at a CAGR of 8.0%.  Rising applications of failure analysis equipment in nanotechnology and medical applications and advancements in technology and usage of failure analysis equipment in semiconductors are some of the factors driving the market. However, high maintenance and equipment cost may hinder the market growth. Demand for failure analysis equipment in emerging nations may create an opportunity to the market. Automotive segment is expected to grow at a highest CAGR during the forecast period. The favourable growth is attributed to high breach of advanced driver assistance systems and driverless vehicles. North America accounted for the largest share in the market, while, Asia Pacific is expected to regiser highest CAGR during the forecast period owing to high concentration of semiconductor industries in countries such as Taiwan, China, Japan, South Korea and India. Some of the key players in global failure analysis market include Hitachi High-Technologies Corporation, EAG Laboratories, Thermo Fisher Scientific Inc., A&D Company Ltd., FEI Company, CARL Zeiss SMT GmbH, Motion X Corporation, Tescan Orsay Holding, A.S., Jeol Ltd., Intertek Group PLC, RJ Lee Group, Inc. , Evans Analytical Group, Inc., Ops A La Carte LLC, IMR Test Labs and Westpak, Inc. Tests Covered: •  Contamination Analysis • Adhesive Identification • Chemical Analysis and Testing • Coating Contamination • Corrosion Investigation • Electrical Overstress(EOS)/Electrostatic Discharge(EDS) • Fractography • Mechanical Testing • Metallography • Microstructure Evaluation • NDT • Regulatory Compliance Testing • Thermal Mapping • Weld Testing • Other Tests Techniques Covered: • Common mode Failure Analysis   • Destructive Physical Analysis • Failure Modes Effect Analysis(FMEA) • Failure Modes, Effects, and Criticality Analysis(FMECA) • Fault Tree Analysis(FTA) • Functional Failure Analysis • Physics of Failure Analysis • Software Failure Analysis • Sneak Circuit Analysis • Other Techniques End User Industries Covered: • Oil and Gas     • Aerospace • Automotive • Construction • Chemical and Pharmaceutical • Food and Beverage • Industrial • Defence • Metrology and Calibration • Other End User Industries Products Covered: • Transmission Electron Microscope • Focussed ion beam Systems • Scanning Electron Microscopy • Dual Beam Systems • Other Products Technologies Covered: • Broad ion milling (BIM) • Focused ion beam (FIB) • Reactive ion etching (RIE)  • Secondary ion mass spectroscopy (SIMS)  • Energy dispersive X-ray spectroscopy (EDX) • Chemical mechanical planarization (CMP) Applications Covered: • Bio Science o Biomedical Engineering o Cellular Biology o Neuroscience o Structural Biology •  Material science o Ceramic & Glass o Metals & Metallurgy o Nanofabrication o Paper & Fiber Material o Polymer • Electronics o MEMS and Thin Film Production o Semiconductor Manufacturing • Industrial Science o Mining o Automotive & Aerospace o Chemical o Machinery & Tools o Oil & Gas o Power Generation & Energy o Renewable Energy o Others Equipments Covered: • Scanning Electron Microscope (SEM) • Focused ION Beam System (FIB) • Dual–Beam Systems • Transmission Electron Microscope (TEM) Regions Covered: • North America o US o Canada o Mexico • Europe o Germany o France o Italy o UK  o Spain      o Rest of Europe  • Asia Pacific o Japan        o China        o India        o Australia        o New Zealand       o Rest of Asia Pacific       • Rest of the World o Middle East o Brazil o Argentina o South Africa o Egypt What our report offers: - Market share assessments for the regional and country level segments - Market share analysis of the top industry players - Strategic recommendations for the new entrants - Market forecasts for a minimum of 7 years of all the mentioned segments, sub segments and the regional markets - Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations) - Strategic recommendations in key business segments based on the market estimations - Competitive landscaping mapping the key common trends - Company profiling with detailed strategies, financials, and recent developments - Supply chain trends mapping the latest technological advancements


Patent
RJ Lee Group, Inc and Colorado State University | Date: 2012-05-24

A thermophoretic sampler includes a sample assembly into which a removable sample cartridge can be inserted. The sample cartridge holds a substrate that, upon insertion, is exposed to a sample chamber. Thermophoresis is induced in the sample chamber, causing nanoparticles to be deposited on the substrate.


Patent
RJ Lee Group, Inc | Date: 2015-02-04

A thermophoretic sampler includes a sample assembly into which a removable sample cartridge can be inserted. The sample cartridge holds a substrate that, upon insertion, is exposed to a sample chamber. Thermophoresis is induced in the sample chamber, causing nanoparticles to be deposited on the substrate.


A non-destructive testing method to evaluate the structural integrity of pre-stressed concrete railroad ties in track to identify deterioration and the eventual loss of bond between the reinforcing wires and the surrounding concrete. The application of an impact echo system to the end of each railroad tie will identify ties that have deteriorated to the extent that structural cracks have formed. The method includes employing a tool having a plurality of transducers and a single impinger to impart sound waves through a top surface of the railroad tie and to receive and evaluate the echoes of the sound waves to determine if the tie is structurally sound or structurally unsound.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 399.57K | Year: 2013

ABSTRACT: This project utilizes existing SBIR technologies developed by RJ Lee Group (RJLG) for AFRL and AFMC that were expanded to provide a Big Data prototype capability at Arnold Engineering Development Center (AEDC). This project will enhance and extend the Test Data Aggregation and Analytical System (TDAAS) version 1 prototype within Technology Readiness Level 6 (TRL6 - system/subsystem model or prototype demonstration in a relevant environment) providing AEDC an operational prototype version 2 TDAAS system. This project addresses AEDC"s need for data integration and knowledge discovery of Department of Defense (DoD) weapons system engine and flight test data at AEDC. TDAAS will provide test personnel and facility engineers with improved searching and data correlation capability to better identify and discover knowledge about turbine engine propulsion and flight testing (performance or aerodynamics assessment) and anomaly detection (test article or infrastructure). From this data, engine and flight stakeholders will be able to make assessments related to specific component behavior within the systems and comparisons of the data with other system tests for which records exist. BENEFIT: The expected benefits include accelerating and improving timeliness and thoroughness of test and evaluation outcomes at AEDC. The ability to quickly and efficiently provide insightful analysis at all stages of an engine and flight acquisition program will reduce risk while eliminating waste and unnecessary costs (re-engineering). This will contribute to the USAF and DoD"s longer-term goal to generate greater efficiencies and capabilities. While TDAAS will first be deployed for engine and flight test data, the capabilities themselves are not envisioned to be system or platform specific. The solution envisioned beyond this transition could thus be adapted to address data integration and knowledge discovery in other DoD or RDT & E applications.


Grant
Agency: Department of Defense | Branch: Office of the Secretary of Defense | Program: SBIR | Phase: Phase I | Award Amount: 149.71K | Year: 2014

Development of semantic technologies to support materials design and development. This project is intended to start constructing the building blocks for 1. Common Vocabulary Development, 2. Annotation, exposure, and discovery of existing published material properties and processes using standard and existing technologies, and 3. New ways to share and discover materials and processes.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase I | Award Amount: 149.81K | Year: 2014

ABSTRACT: RJ Lee Group, Inc., in partnership with experts from Hamler Test and Analysis, Inc., and in collaboration with GE Aviation, proposes to develop a Decision Support Tool (DST) to model the cumulative effects on component service life by CMAS (calcium-magnesium-aluminum-silicon oxide) on jet engine components. Phase I will focus on the characterization of ingestible silica particles consisting of sand or volcanic ash ; analyzing engine components that have been subjected to CMAS in a controlled, simulated engine environment; and development of a modeling concept that will provide the foundation to build a service life appraisal tool in Phase II. Ultimately, we foresee a commercial modeling tool (the DST) that can be used to estimate the remaining service life based on CMAS particle accumulation, cooling disruption, thermal barrier erosion and other compromised conditions such as alteration of the thermal conductivity of the thermal barrier coatings (TBC) and engine balance. BENEFIT: The potential benefits is a robust model that can be patented and commercialized to potential jet engine manufactures as well as large airlines for maintenance purposes.


Grant
Agency: Department of Defense | Branch: Air Force | Program: SBIR | Phase: Phase II | Award Amount: 499.74K | Year: 2012

ABSTRACT: Development of an operational prototype Test Data Aggregation and Analytical System (TDAAS) at Arnold Engineering Development Center (AEDC). TDAAS will address the customer"s need for data integration and knowledge discovery of Department of Defense (DoD) weapons system engine and flight test data at AEDC. The desired end-state for this project will be TRL 7 at AEDC providing test personnel and facility engineers with improved searching and data correlation capability to better identify and discover knowledge about turbine engine propulsion and flight testing (such as its performance assessment) and anomaly detection (within the test article or the test cell or wind tunnel infrastructure). From this data, AEDC and engine/flight stakeholders will be able to make assessments related to specific component behavior within the systems and comparisons of the data with other system tests for which records exist. BENEFIT: The expected benefits include increasing AEDC"s ability to provide insightful analysis at all stages of an engine and flight acquisition program thus reducing risk while eliminating waste and unnecessary costs that contribute to the USAF and DoD"s longer-term goal to generate greater efficiencies and capabilities ($100B cost savings in the next 5 years). While TDAAS will first be deployed for engine and flight test data, the capabilities themselves are not system or platform specific. The solution envisioned beyond this project could thus be adapted to address data integration and knowledge discovery in satellite health monitoring and other RDT & E applications within DoD, OEMs and other commercial applications.


Grant
Agency: Department of Defense | Branch: Navy | Program: SBIR | Phase: Phase I | Award Amount: 79.68K | Year: 2011

The predictability in assessing an engine"s shop direct maintenance cost is largely a result of the significant reliability improvements inherent in today"s engine technology and a result of the introduction of on-condition maintenance. Engine on-condition maintenance seeks to do away with"hard-time"interval removal and prescribes routine monitoring of key operational parameters to drive removal. A by-product of these reliability improvements and the on-condition maintenance philosophy is a greater reliance on software and statistical analysis to predict the frequency of engine shop visit events and their corresponding shop visit costs. Estimating an appropriate direct maintenance cost therefore, requires careful forecasting of the equipments on-wing life as well as an accurate assessment of its capability to achieve that life and understanding the costs involved in improving that capability. The requirement of any reliability software is to be able to statistically describe any of the data elements that can be used to drive a prediction of on-wing life and/or identify direct maintenance cost. This multi-faceted approach can then provide useful information to optimization software, cost or ATOW forecasting software or other useful tools that will provide engine program management and their customers the ability to accurately assess the condition of fielded systems, understand their capabilities and identify long term management needs to maintain and improve the performance of these systems through out their intended life and beyond.


A method for quantitative analysis of asbestos in vermiculite-containing materials includes a first embodiment which includes washing the sample with water or treating the sample with a low concentration acid to digest gypsum and carbonates, ashing the sample at a low temperature to remove cellulose, therefrom and analyzing the sample. Digestion may be effected before or after ashing. Subsequently, a second subsample may be ashed at low temperature to remove cellulose and refluxed with a concentrated acid followed by refluxing with a base and rinsing with deionized water to wash away gypsum, vermiculite and other soluble components. This is followed by analysis to determine asbestos concentration. In a further embodiment, the residue if the first embodiment may be employed as the second subsample.

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