Volume expansion behavior of water–hydrocarbon mixtures at high temperatures and pressures as studied by infrared spectroscopy

2004 ◽  
Vol 217 (2) ◽  
pp. 181-188 ◽  
Author(s):  
Seiya Furutaka ◽  
Shun-ichi Ikawa
Keyword(s):  
Infrared Spectroscopy ◽  
High Temperatures ◽  
Volume Expansion ◽  
Hydrocarbon Mixtures ◽  
Expansion Behavior

Síntesis sencilla de óxido de tungsteno(VI) a partir del filamento de un foco

2011 ◽  
Vol 19 (4) ◽  
pp. 341
Author(s):  
Joel Díaz Reyes ◽  
Aarón Pérez-Benítez ◽  
Valentín Dorantes
Keyword(s):  
Infrared Spectroscopy ◽  
High Temperatures ◽  
Power Supply ◽  
Light Bulb ◽  
Electrochromic Devices ◽  
Tungsten Filament ◽  
Tungsten Oxides ◽  
Ac Power

<span>Tungsten(VI) oxide can be easily synthesized starting from a standard light bulb. The reaction consists in the oxidation at high temperatures (T ≈ 2000 – 3000° C) of a tungsten filament in presence of air; conditions which can be easily achieved by connecting a broken light bulb (but with its intact filament) to an AC-power supply of 110 volts. The vapor of WO3 is condensed into a beaker in a quantity enough to be characterized by infrared spectroscopy. The experiment is very funny, inexpensive and allows to the teacher to link several topics in current chemistry and physics of the tungsten oxides, such as their nomenclature and technological applications (i.e. electrochromic devices, gasochromic sensors, superalloys or as it is used in home: As a “simple” emisor of light!).</span>

scholarly journals Purely predictive method for density, compressibility, and expansivity for hydrocarbon mixtures and diesel and jet fuels up to high temperatures and pressures

Fuel ◽  
2019 ◽  
Vol 236 ◽  
pp. 1377-1390 ◽  
Author(s):  
Houman B. Rokni ◽  
Ashutosh Gupta ◽  
Joshua D. Moore ◽  
Mark A. McHugh ◽  
Babatunde A. Bamgbade ◽  
...  
Keyword(s):  
High Temperatures ◽  
Jet Fuels ◽  
Hydrocarbon Mixtures ◽  
Predictive Method

Studies on the free volume and the volume expansion behavior of amorphous polymers

2000 ◽  
Vol 58 (5-6) ◽  
pp. 525-530 ◽  
Author(s):  
K. Hagiwara ◽  
T. Ougizawa ◽  
T. Inoue ◽  
K. Hirata ◽  
Y. Kobayashi
Keyword(s):  
Free Volume ◽  
Volume Expansion ◽  
Amorphous Polymers ◽  
Expansion Behavior

Heat of Adsorption of Carbon Monoxide on a Pd/Al2O3 Solid Using in Situ Infrared Spectroscopy at High Temperatures

1999 ◽  
Vol 188 (2) ◽  
pp. 237-251 ◽  
Author(s):  
Olivier Dulaurent ◽  
Karine Chandes ◽  
Christophe Bouly ◽  
Daniel Bianchi
Keyword(s):  
Carbon Monoxide ◽  
Infrared Spectroscopy ◽  
High Temperatures ◽  
Heat Of Adsorption ◽  
In Situ Infrared Spectroscopy

scholarly journals Classifying Thermal Degradation of Polylactic Acid by Using Machine Learning Algorithms Trained on Fourier Transform Infrared Spectroscopy Data

2020 ◽  
Vol 10 (21) ◽  
pp. 7470
Author(s):  
Sung-Uk Zhang
Keyword(s):  
Machine Learning ◽  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
3D Printing ◽  
Thermal Degradation ◽  
Fourier Transform Infrared Spectroscopy ◽  
Polylactic Acid ◽  
High Temperatures ◽  
Learning Algorithms ◽  
Machine Learning Algorithms

Polylactic acid (PLA) is the most common polymeric material in the 3D printing industry but degrades under harsh environmental conditions such as under exposure to sunlight, high-temperatures, water, soil, and bacteria. An understanding of degradation phenomena of PLA materials is critical to manufacturing robust products by using 3D printing technologies. The objective of this study is to evaluate four machine learning algorithms to classify the degree of thermal degradation of heat-treated PLA materials based on Fourier transform infrared spectroscopy (FTIR) data. In this study, 3D printed PLA specimens were subjected to high-temperatures for extended periods of time to simulate thermal degradation and subsequently examined by using two types of FTIR spectrometers: desktop and portable spectrometers. Classifiers created by multi-class logistic regression and multi-class neural networks were appropriate prediction models for these datasets.

Stress-Chemistry Mechanism of Mortars Made with Steel Slag Sand

2010 ◽  
Vol 163-167 ◽  
pp. 899-903
Author(s):  
Yun Xia Lun ◽  
Shao Shun Liu ◽  
Ming Kai Zhou ◽  
Xiao Fan Liu
Keyword(s):  
Stress Concentration ◽  
Volume Expansion ◽  
Steel Slag ◽  
Local Stress ◽  
Local Stress Concentration ◽  
Chemistry Method ◽  
Expansion Behavior ◽  
Volume Increment ◽  
Mineral Components ◽  
Free Cao

A stress-chemistry method was used to investigate the expansion behavior of mortars made with steel slag sand (SSM). The results indicated that periclase and free CaO were the main mineral components resulted in expansion of SSM by means of volume increment and local stress concentration after hydration. So it can be concluded that stress concentration arised from enrichment and uneven distribution of expansile mineral components was the main reason resulted in the volume expansion of SSM. Model of expansion of SSM was built according to the characteristics of crack and types of versicolor particles.

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