Reply to the comments on “Validated, non-destructive and environmentally friendly determination of cocaine in euro bank notes” by R. Sleeman, J.F. Carter, K.A. Ebejer

ABSTRACTRutherford backscattering spectrometry (RBS) is used to characterize the stoichiometry of graphite intercalation compounds (GIC). Specific application is made to several stages of different donor and acceptor compounds and to commensurate and incommensurate intercalants. A deviation from the theoretical stoichiometry is measured for most of the compounds using this non-destructive method. Within experimental error, the RBS results agree with those obtained from analysis of the (00ℓ) x-ray diffractograms and weight uptake measurements on the same samples.

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Application of EDS Technique for OSP Film Thickness Measurement

ISTFA 2006: Conference Proceedings from the 32nd International Symposium for Testing and Failure Analysis ◽

10.31399/asm.cp.istfa2006p0193 ◽

2006 ◽

Author(s):

Prong Kongsubto ◽

Sirarat Kongwudthiti

Keyword(s):

Thin Film ◽

Quantitative Analysis ◽

Joint Strength ◽

Critical Factor ◽

Thickness Measurement ◽

Ic Manufacturing ◽

And Control ◽

Film Thickness Measurement ◽

Non Destructive

Abstract Organic solderability preservatives (OSPs) pad is one of the pad finishing technologies where Cu pad is coated with a thin film of an organic material to protect Cu from oxidation during storage and many processes in IC manufacturing. Thickness of OSP film is a critical factor that we have to consider and control in order to achieve desirable joint strength. Until now, no non-destructive technique has been proposed to measure OSP thickness on substrate. This paper reports about the development of EDS technique for estimating OSP thickness, starting with determination of the EDS parameter followed by establishing the correlation between C/Cu ratio and OSP thickness and, finally, evaluating the accuracy of the EDS technique for OSP thickness measurement. EDS quantitative analysis was proved that it can be utilized for OSP thickness estimation.

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Anodizing of aluminium and its alloys. Determination of thickness of anodic oxidation coatings. Non-destructive measurement by split-beam microscope

10.3403/30195835 ◽

2010 ◽

Keyword(s):

Anodic Oxidation ◽

Destructive Measurement ◽

Non Destructive

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Non-destructive testing. Radiographic testing. Determination of the size of industrial radiographic gamma sources

10.3403/30368086 ◽

2018 ◽

Keyword(s):

Non Destructive Testing ◽

Destructive Testing ◽

Radiographic Testing ◽

Gamma Sources ◽

Non Destructive

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Non-Destructive Micromagnetic Determination of Hardness and Case Hardening Depth Using Linear Regression Analysis and Artificial Neural Networks

Metals ◽

10.3390/met11010018 ◽

2020 ◽

Vol 11 (1) ◽

pp. 18

Author(s):

Rahel Jedamski ◽

Jérémy Epp

Keyword(s):

Neural Network ◽

Neural Networks ◽

Regression Analysis ◽

Artificial Neural Networks ◽

Linear Regression ◽

Linear Regression Analysis ◽

Case Hardening ◽

Artificial Neural ◽

Non Destructive

Non-destructive determination of workpiece properties after heat treatment is of great interest in the context of quality control in production but also for prevention of damage in subsequent grinding process. Micromagnetic methods offer good possibilities, but must first be calibrated with reference analyses on known states. This work compares the accuracy and reliability of different calibration methods for non-destructive evaluation of carburizing depth and surface hardness of carburized steel. Linear regression analysis is used in comparison with new methods based on artificial neural networks. The comparison shows a slight advantage of neural network method and potential for further optimization of both approaches. The quality of the results can be influenced, among others, by the number of teaching steps for the neural network, whereas more teaching steps does not always lead to an improvement of accuracy for conditions not included in the initial calibration.

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