Solubility approach for modeling waste glass liquidus

1999 ◽  
Vol 556 ◽  
Author(s):  
M. J. Plodinec

AbstractThe liquidus temperature of a waste glass (the temperature at which the system glass + crystalline material is in equilibrium with the amorphous glass of the same composition) often is a measure of the solubility of a specific component in the waste in the base glass. A new approach toward predicting the liquidus temperatures of waste glasses has been developed based on solubility. The approach predicts liquidus temperature as well as more complicated expressions developed by other researchers. At the same time, simple process control limits can be easily derived from this model, which is difficult to do with other approaches. While the approach is not applicable to all waste glass components, it can be used for important species such as nickel-iron spinel, chromium oxide, and probably plutonium dioxide. The approach also has led to two new techniques for determining liquidus of waste glass systems.

Lubricants ◽  
2019 ◽  
Vol 7 (10) ◽  
pp. 82 ◽  
Author(s):  
Gurt ◽  
Khonsari

Recent theoretical developments linking degradation to the thermodynamic concept of entropy have allowed a new approach to modeling all types of degradation. The theory has been successfully applied to wear, fatigue, and numerous other forms of degradation and experimentation has confirmed its applicability to modeling the mechanical degradation of lubricating grease. This paper overviews the mechanical degradation of grease, discusses past and present modeling techniques, shows how new techniques can be used to predict grease life, and provides suggestions for future research.


2012 ◽  
Vol 18 (1) ◽  
pp. 122-137 ◽  
Author(s):  
Faisal A. Abu Rub ◽  
Ayman A. Issa

PurposeThe purpose of this paper is to develop a new approach to investigate complex processes, such as software development processes, using business process modeling.Design/methodology/approachThe paper presents an investigation into the use of role activity diagramming (RAD) to model complex processes in the software industry sector, with reference to the process of TestWarehouse as a case study.FindingsSystematic extension and quantitative analysis to RAD models led to the discovery of process bottlenecks, identification of cross functional boundary problems, and focused discussion about automation of processes.Research limitations/implicationsFurther work is required to validate and evaluate the proposed approach using several cases with different application domains and thus generalize the adopted approach.Practical implicationsA new approach has been used successfully to understand and analyze business processes. The tools and techniques that are used to perform the approach are not complicated and do not need much specialist expertise, so the approach is not only oriented toward specialists but also toward organizations' managers and staff.Originality/valueNew techniques have been developed by using process modelling to deepen the understanding and analyzing of complex organizational processes. This research implements a practical investigation which uses a case study to validate the new techniques.


2014 ◽  
Vol 28 (22) ◽  
pp. 1450175 ◽  
Author(s):  
Fang Biao Wang ◽  
Yong Li ◽  
Ning Chen ◽  
Xiao Peng Jia ◽  
Hong An Ma

With Al 2( SiO 3)3 and Na 2 SiO 3 ⋅ 9 H 2 O as raw materials, the NaAlSi 2 O 6 jadeite was synthesized in the temperature range of 1000–1600°C under 5.0 GPa conditions. Amorphous glass materials are entirely converted to crystalline NaAlSi 2 O 6 jadeite at 5.0 GPa and 1450°C. All the experimental results reveal that the properties of synthetic NaAlSi 2 O 6 resemble the natural jadeite very much. The research indicates that we provide a new approach to synthesize NaAlSi 2 O 6 and offer an essential guideline for jewelry, which will be helpful for deep understanding on the origin of natural jadeite and the metamorphism of magma within the Earth.


1987 ◽  
Vol 112 ◽  
Author(s):  
Xiangdong Feng ◽  
Aaron Barkatt ◽  
Tian Jiang

AbstractA systematic study of the chemical durability of glass compositions developed for the immobilization of high-level radioactive wastes at West Valley is described. Most of the compositions studied here represent variations around the nonradioactive WV205 composition. The results from this study indicate that the effectiveness of the various oxides tested in increasing the durability of WV205, when considered in terms of 2% additions by weight to the central composition, decreases in the following order: A12O3>ZrO2>SiO2>Cr2O3>Fe2O3>TiO2>CuO>ZnO>NiO. The addition of 2–6% Cr2O3 or NiO to WV205 was observed to cause extensive crystallization. The addition of 2% or 6% ZnO or 2% TiO2, CuO or NiO to the glass actually enhances corrosion rates. A12O3 and ZrO2 are the best additives in terms of increasing the durability. The additions of ThO2 and U3O8 slightly increase the durability. The effects of various oxides on the durability of WV-205-based glasses with ThO2 and U3O8 were found to be very similar to the effects of these oxides on the durability of the corresponding glasses which did not contain ThO2 and U3O8. This study also showed that Fe2O3 has little effect on the durability. However, FeO greatly enhances the corrosion rates of WV205-based glasses. Much less pronounced effects of the redox state of iron were found in the case of more durable base glass compositions.


2006 ◽  
Vol 59 (9) ◽  
pp. 597 ◽  
Author(s):  
Gregory J. Halder ◽  
Cameron J. Kepert

The rapid advance in the synthesis and characterization of molecular frameworks over the past decade has opened an entirely new approach for the generation of nanoporous materials. With this advance has come an increasingly pressing need for the development of new techniques to characterize the guest-dependent structures of these novel and highly complex materials. In this review we highlight some of the relatively rare cases where single crystal diffraction has been used to characterize the flexible structures of molecular frameworks through the investigation of single crystal to single crystal (SC-SC) transformations.


2011 ◽  
Vol 337 ◽  
pp. 439-442 ◽  
Author(s):  
Thiensak Chucheep ◽  
Rungsinee Canyook ◽  
Tanate Rattanochaikul ◽  
Somjai Janudom ◽  
Sirikul Wisutmethangoon ◽  
...  

A new approach to evaluate fluidity of semi-solid rheo-slurries was developed. The equipment was designed in order to reduce pouring error by using bottom tapping and heated tapping ladle. Commercial AC4C aluminum alloy slurries were tested in spiral sand mold by gravity casting. The slurries were prepared by introducing fine gas bubbles into molten metal above the liquidus temperature at different rheocasting times. Average fluidity and microstructures of cast spirals were reported. Results show that the spiral microstructure is non-dendritic and the fluidity of AC4C alloy decreases with increasing solid fraction. In conclusion, the spiral casting method using bottom tapping can be used to evaluate the fluidity of rheocast slurries in gravity sand casting.


2021 ◽  
Vol 22 (4) ◽  
pp. 1842
Author(s):  
Dmitry Gribanyov ◽  
Gleb Zhdanov ◽  
Andrei Olenin ◽  
Georgii Lisichkin ◽  
Alexandra Gambaryan ◽  
...  

Development of sensitive techniques for rapid detection of viruses is on a high demand. Surface-enhanced Raman spectroscopy (SERS) is an appropriate tool for new techniques due to its high sensitivity. DNA aptamers are short structured oligonucleotides that can provide specificity for SERS biosensors. Existing SERS-based aptasensors for rapid virus detection had several disadvantages. Some of them lacked possibility of quantitative determination, while others had sophisticated and expensive implementation. In this paper, we provide a new approach that combines rapid specific detection and the possibility of quantitative determination of viruses using the example of influenza A virus.


2022 ◽  
Vol 2161 (1) ◽  
pp. 012009
Author(s):  
Jigalur Priyanka ◽  
B G Prasad

Abstract The brain is a substantial boon to humankind that adapts nature accordingly. The brain can learn and unlearn based on the situation. This singularity of human learning led to the research creating models using Artificial Intelligence (AI) to incorporate the brain’s behavior. The investigation opened up many new approaches to study AI with neural networks by adding new techniques to imitate the human brain’s functionalities. Many models can learn from experience like Recurrent Neural Network(RNN’s), Long Short Term Memory (LSTM) with the fixed network size. This paper describes the simple method of creating the model which will behave similar to the biological brain and recreates its differentiable plasticity to adopt the features of neural network connection. It also shows that applying plasticity and the Hebbian plastic connection rule can result in optimization in RNN. This new approach of reconstruction of images based on plastic neural network experiments shows that the above novel approach gives more optimized results than the traditionally used RNN techniques. In this paper, a proposal is made where models can memorize and reconstruct unseen sets of images by solving recurrent networks using plasticity rules.


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