Characterization of post-consumer polyolefin wastes by hyperspectral imaging for quality control in recycling processes

2011 ◽  
Vol 31 (11) ◽  
pp. 2217-2227 ◽  
Author(s):  
Silvia Serranti ◽  
Aldo Gargiulo ◽  
Giuseppe Bonifazi
Keyword(s):  
Quality Control ◽  
Hyperspectral Imaging

Emerging Techniques for the Characterization of Nano-Mechanical Properties of Integrated Circuit Components

2008 ◽  
Author(s):  
Nicholas Randall ◽  
Rahul Premachandran Nair
Keyword(s):  
Mechanical Properties ◽  
Quality Control ◽  
Integrated Circuits ◽  
Integrated Circuit ◽  
Manufacturing Process ◽  
Solder Bumps ◽  
Initial Work ◽  
Circuit Components ◽  
Materials Used

Abstract With the growing complexity of integrated circuits (IC) comes the issue of quality control during the manufacturing process. In order to avoid late realization of design flaws which could be very expensive, the characterization of the mechanical properties of the IC components needs to be carried out in a more efficient and standardized manner. The effects of changes in the manufacturing process and materials used on the functioning and reliability of the final device also need to be addressed. Initial work on accurately determining several key mechanical properties of bonding pads, solder bumps and coatings using a combination of different methods and equipment has been summarized.

Using radiocarbon: an update

Antiquity ◽  
1994 ◽  
Vol 68 (261) ◽  
pp. 838-843 ◽  
Author(s):  
Sheridan Bowman
Keyword(s):  
Quality Control ◽  
Error Term

A note in the 1990 ANTIQUITY volume dealt with four issues crucial to the successful use of radiocarbon in archaeology (Bowman & Balaam 1990): selection and characterization of material and context; determination of the radiocarbon result and error term; interpretation and publication; and strategic resourcing. Since then much has been published, particularly on quality control of radiocarbon measurements (‘determination’), and on the calibration of radiocarbon results (‘interpretation’). Here is an update.

Preparation, quality control and biological characterization of 99mTc-vincristine

2014 ◽  
Vol 304 (2) ◽  
pp. 553-561 ◽  
Author(s):  
Saira Hina ◽  
Samina Roohi ◽  
Muhammad Ibrahim Rajoka ◽  
Asma Haque ◽  
Tanveer Hussain Bokhari ◽  
...  
Keyword(s):  
Quality Control ◽  
Biological Characterization

Characterization of Complex Patterns

2011 ◽  
pp. 180-213
Author(s):  
Yannick Caulier
Keyword(s):  
Quality Control ◽  
Control Systems ◽  
Complex Patterns ◽  
Machine Olfaction

Hence, the same approach can be applied for the characterization of colorimetric patterns in case of particular machine olfaction tasks, as the proposed developments can be further used integrated into other quality control systems, in order to bring more “intelligence” to this technique.

scholarly journals Hyperspectral Imaging Using Laser Excitation for Fast Raman and Fluorescence Hyperspectral Imaging for Sorting and Quality Control Applications

2018 ◽  
Vol 4 (10) ◽  
pp. 110 ◽  
Author(s):  
Florian Gruber ◽  
Philipp Wollmann ◽  
Wulf Grählert ◽  
Stefan Kaskel
Keyword(s):  
Quality Control ◽  
Hyperspectral Imaging ◽  
Lead Zirconate Titanate ◽  
Imaging System ◽  
Measurement Data ◽  
Machine Learning Algorithms ◽  
Area Measurement ◽  
Large Area ◽  
Sorting Tasks

A hyperspectral measurement system for the fast and large area measurement of Raman and fluorescence signals was developed, characterized and tested. This laser hyperspectral imaging system (Laser-HSI) can be used for sorting tasks and for continuous quality monitoring. The system uses a 532 nm Nd:YAG laser and a standard pushbroom HSI camera. Depending on the lens selected, it is possible to cover large areas (e.g., field of view (FOV) = 386 mm) or to achieve high spatial resolutions (e.g., 0.02 mm). The developed Laser-HSI was used for four exemplary experiments: (a) the measurement and classification of a mixture of sulphur and naphthalene; (b) the measurement of carotenoid distribution in a carrot slice; (c) the classification of black polymer particles; and, (d) the localization of impurities on a lead zirconate titanate (PZT) piezoelectric actuator. It could be shown that the measurement data obtained were in good agreement with reference measurements taken with a high-resolution Raman microscope. Furthermore, the suitability of the measurements for classification using machine learning algorithms was also demonstrated. The developed Laser-HSI could be used in the future for complex quality control or sorting tasks where conventional HSI systems fail.

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