scholarly journals Relationship between shoreline evolution and sediment wear

2020 ◽  
pp. 432-440
Author(s):  
Isabel López ◽  
José Ignacio Pagán ◽  
Antonio J. Tenza-Abril ◽  
Luis Aragonés ◽  
Luis Bañón
Keyword(s):  
Wear Test ◽  
Mineralogical Composition ◽  
Shoreline Evolution ◽  
Sand Particles ◽  
The Relationship ◽  
Evolution Trend

The main objective to this work is to establish a relationship between shoreline evolution and sediment wear. The shoreline evolution trend is similar to of the results obtained by the accelerated particle wear test (APW). However, the relationship between the number of APW test cycles and the years of shoreline evolution is not clear. In Guardamar beach the ratio (years/cycles) is 9.7, in Marineta Casiana beach (it is 5.6, and in Arenal beach it is 3. Differences may be due to the different mineralogical composition and morphology of the sand particles.

Study of the relationship between the mineralogical composition and the disintegration of shales from Paraíba and Ceará states of Brazil

2017 ◽  
Author(s):  
Caline Leal ◽  
Matheus Nikolaos Carneiro Brunet ◽  
Luciana Amorim ◽  
Francisco Cézar Costa Nogueira ◽  
Waleska Rodrigues Pontes da Costa ◽  
...  
Keyword(s):  
Mineralogical Composition ◽  
The Relationship

Experimental Study on Friction and Wear between Drill Collar and Casing

2016 ◽  
Vol 847 ◽  
pp. 460-465
Author(s):  
Ben Sheng Huang ◽  
Yao Zhu
Keyword(s):  
Heat Treatment ◽  
Wear Resistance ◽  
Oil And Gas ◽  
Wear Test ◽  
Hardness Test ◽  
Oil And Gas Fields ◽  
Key Issues ◽  
Gas Fields ◽  
The Relationship ◽  
Drill Collar

Casing wear is one of the key issues in the development of oil and gas fields and in the process of drilling operations. In this study, the relationship between hardness and wear resistance of drill collar and casing was studied; thereby the wear conditions between the two materials were improved. Chemical analysis, optical microscopy, hardness test and friction wear test were conducted to study the effects of heat treatment on hardness of the drill collar 4145H and the casing 30Mn5V, and discuss the relationship between hardness and wear resistance of them. The results showed that the materials of drill collar and casing after different heat treatment had varying degrees of wear, both of the respective wear amounts were gradually increasing with the increase of hardness of them, the wear extent of casing material was greater than that of drill collar material. The hardness of casing material was the lowest and its wear resistance was the best when quenching at 880°C and tempering at 630°C. And when quenching at 900°C and tempering at 690°C, the hardness of drill collar material was the lowest and its wear resistance was the best. Therefore, the hardness of drill collar and casing can be improved by changing the heat treatment process to improve the wear resistance, thereby reducing the wear conditions between them.

scholarly journals An Efficient Algorithm for Ocean-Front Evolution Trend Recognition

2022 ◽  
Vol 14 (2) ◽  
pp. 259
Author(s):  
Yuting Yang ◽  
Kenneth Kin-Man Lam ◽  
Xin Sun ◽  
Junyu Dong ◽  
Redouane Lguensat
Keyword(s):  
Classification Accuracy ◽  
State Of The Art ◽  
Classification Algorithm ◽  
Final Decision ◽  
Ocean Fronts ◽  
Ocean Front ◽  
Novel Method ◽  
Evolution Laws ◽  
The Relationship ◽  
Evolution Trend

Marine hydrological elements are of vital importance in marine surveys. The evolution of these elements can have a profound effect on the relationship between human activities and marine hydrology. Therefore, the detection and explanation of the evolution laws of marine hydrological elements are urgently needed. In this paper, a novel method, named Evolution Trend Recognition (ETR), is proposed to recognize the trend of ocean fronts, being the most important information in the ocean dynamic process. Therefore, in this paper, we focus on the task of ocean-front trend classification. A novel classification algorithm is first proposed for recognizing the ocean-front trend, in terms of the ocean-front scale and strength. Then, the GoogLeNet Inception network is trained to classify the ocean-front trend, i.e., enhancing or attenuating. The ocean-front trend is classified using the deep neural network, as well as a physics-informed classification algorithm. The two classification results are combined to make the final decision on the trend classification. Furthermore, two novel databases were created for this research, and their generation method is described, to foster research in this direction. These two databases are called the Ocean-Front Tracking Dataset (OFTraD) and the Ocean-Front Trend Dataset (OFTreD). Moreover, experiment results show that our proposed method on OFTreD achieves a higher classification accuracy, which is 97.5%, than state-of-the-art networks. This demonstrates that the proposed ETR algorithm is highly promising for trend classification.

A multidisciplinary approach to the engineering of footwear cushioning: A practical example of gym training shoes

2020 ◽  
pp. 175433712095722
Author(s):  
Cédric YM Morio ◽  
Laura Bouten ◽  
Simon Duraffourg ◽  
Nicolas Delattre
Keyword(s):  
Mechanical Properties ◽  
Finite Element Method ◽  
Finite Element ◽  
Multidisciplinary Approach ◽  
Wear Test ◽  
Sensory Panel ◽  
Optimal Amount ◽  
Shoe Design ◽  
Wide Range ◽  
The Relationship

According to sports goers, one of the most important features of gym training shoes is their cushioning properties. The optimal amount of cushioning is, however, complex to define. In the present paper, a multi-disciplinary approach was proposed to investigate and determine the optimal perceived midsole cushioning for gym training shoes. Firstly, impact tests were performed to characterise a wide range of shoes representing the gym training shoe market. Trained sensory panel method and mechanical testing were combined to determine the relationship between the perception of cushioning and the shoe’s mechanical properties. Secondly, the preferred cushioning perception was assessed. Then, numerous midsole configurations were tested using finite element method (FEM) to determine the combinations with the best cushioning properties in order to reduce the number of physical prototypes. To assess the best configuration estimated by the numerical model, a wear test was performed as a final validation. From this approach, relationship between the mechanical properties of the midsole and perception of cushioning was found, and an optimal perceived cushioning was identified. Moreover, through FEM numerical simulations, a great number of midsole configurations and designs were tested without making any actual prototypes. Prototype shoes were based on the best numerical solution. The final wear test confirmed that the prototype gym training shoes achieved the preferred perception of cushioning. The present methodology proposes a framework, which empowers the use of athlete’s and exerciser’s perception in shoe design.

Mineralogical and Geochemistry Study of Darnah Formation in Wadi Al Kharsha, Northeast Libya

2021 ◽  
pp. 98-108
Author(s):  
Ali M. Elfeituri ◽  
Ibrahim M. Abou El Leil ◽  
Salah S. El-Elkhfifi
Keyword(s):  
Correlation Coefficient ◽  
Linear Correlation ◽  
Significant Relationship ◽  
Strong Correlation ◽  
Mineralogical Composition ◽  
Raw Material ◽  
Average Value ◽  
Negative Linear Correlation ◽  
Cement Manufacture ◽  
The Relationship

This paper has been carried out to determine the mineralogical and geochemical characteristics of Eocene Darnah limestone which outcrops at Wadi Al Kharsha as an example of the Darnah Formation. The most conspicuous phenomenon is the upward increase of the dolomitization process, whereas, the dolomite content ranges from 4.34 to 15.48 % with an average value of 8.99%. The lime (CaO) represents the major predominant with a high content (48.08%), it can be blend with other carbonates to improve its quality to meet the specifications of raw material for cement manufacture. The relationship between calcium (CaO) and magnesium (MgO) exhibits a significantly strong negative linear correlation coefficient (R2 = 0.967), which emphasizes the dolomitization process, while the relationship between SiO2 and Al2O3 is a positive linear significant relationship with a strong correlation coefficient (R2 = 0.98), whereas, the SiO2 increases with increasing of Al2O3. The calculated mineralogical composition revealed that halite, gypsum, and hematite are considered to be minor constituents, almost less than 1.0%. Keywords: Limestone; Darnah Formation; Mineralogy; Geochemistry; Dolomitization; Characterizations; Cement

The relationship between zeolite (heulandite-clinoptilolite) content and the ammonium-exchange capacity of pyroclastic rocks in Gördes, Turkey

Clay Minerals ◽  
2005 ◽  
Vol 40 (4) ◽  
pp. 557-564 ◽  
Author(s):  
F. Esenli ◽  
A. Sirkecioğlu
Keyword(s):  
Ion Exchange ◽  
Mineralogical Composition ◽  
Exchange Capacity ◽  
Geological Environment ◽  
Authigenic Minerals ◽  
Pyroclastic Rocks ◽  
Diagenetic Alteration ◽  
Hydrological System ◽  
The Relationship ◽  
Positive Effect

AbstractDiagenetic alteration in two tuff horizons (the lower and upper tuff units) in the GoÈrdes region of Turkey led to the formation of mainly heulandite-clinoptilolite-type zeolites and also clay and silica minerals and K-feldspar. Possible variations in the climate and geological environment followed by variations in the hydrological system and the composition of the Miocene lake water and groundwater at that time resulted in the mineralogical facies. The lower tuffs are unaltered or slightly altered in the northern part and are more altered, particularly to zeolite (clinoptilolite) in the southern part of the study area. Heulandite and K-feldspar are mainly authigenic minerals in the upper tuff unit. The ammonium-exchange capacities of the 16 samples were investigated to understand the effects of the mineralogical composition on their ion-exchange capacities, which vary in the range 0.19-2.00 mEq/g. It is observed that the ion-exchange capacities are strongly dependent on the zeolite contents of the rocks. The correlation coefficient of this linear relation is 0.86. The most significant increase in ammonium-exchange capacity (from 0.2 to ~1.0 mEq/g) was observed when the zeolite contents increased from 0 to 30 wt.%. The second increase in exchange capacity was observed for samples containing >80 wt.% zeolite. Although there is no significant effect from the other authigenic minerals, smectite has a positive effect, and K-feldspar and opal-CT have almost no effect on the ion exchange capacities.

Network model for hydraulic conductivity of sand-bentonite mixtures

2004 ◽  
Vol 41 (4) ◽  
pp. 698-712 ◽  
Author(s):  
Tarek Abichou ◽  
Craig H Benson ◽  
Tuncer B Edil
Keyword(s):  
Hydraulic Conductivity ◽  
Unit Area ◽  
Network Models ◽  
Element Model ◽  
Sand Particle ◽  
Particle Interactions ◽  
One Dimensional ◽  
Flow Through ◽  
Sand Particles ◽  
The Relationship

A network formulation was used to model the hydraulic conductivity of sand–bentonite mixtures (SBMs) as a function of bentonite content. The sand particles were assumed to be spheres, and their arrangement was defined using a discrete element model simulating sand particle interactions. Pores between the spheres were approximated as a network of straight capillary tubes. The space defined by the spheres was divided into a collection of neighboring tetrahedrons, and the geometry of the tetrahedrons was used to define tube diameters and lengths in the network. Hydraulic heads throughout the network were computed by solving a system of equations describing flow through the tubes. Hydraulic conductivity of the network was calculated as the rate of flow per unit area for a given network of tubes driven by a one-dimensional hydraulic gradient. Bentonite was introduced into the network in several schemes to simulate SBMs. SBMs prepared with powdered bentonite were modeled as a packing of sand, where the sand particles are coated with bentonite (grain coating model and pipe blocking model), whereas SBMs prepared with granular bentonite were modeled as a packing of sand with bentonite occupying pores between the sand particles (junction blocking model). The relationship between hydraulic conductivity and bentonite content obtained from the grain coating model was similar to that measured on sand – powdered bentonite mixtures. A comparable relationship was also obtained for hydraulic conductivities predicted with the junction blocking model using a size-based filling approach and hydraulic conductivities measured on sand – granular bentonite mixtures.Key words: sand–bentonite mixtures, network models, hydraulic conductivity, degree of bentonation, bentonite distribution.

scholarly journals POSSIBILITY OF USING BLAST FURNACE SLAG IN CONCRETE AND MORTAR PRODUCTION IN VIETNAM

2019 ◽  
pp. 17-24
Author(s):  
Зиен Ву Ким ◽  
Dien Vu Kim ◽  
Ван Танг ◽  
Van Tang ◽  
С. Баженова ◽  
...  
Keyword(s):  
Blast Furnace ◽  
Blast Furnace Slag ◽  
Building Materials ◽  
Activity Index ◽  
Mineralogical Composition ◽  
Metallurgical Industry ◽  
Granulated Blast Furnace Slag ◽  
Slag Processing ◽  
The Relationship ◽  
Furnace Slag

Blast furnace slag is a waste of metallurgical industry which can be used in production technology of concretes and mortars. The expedient use of blast furnace slag as a component for new building materials will improve the environmental situation and increase the economic efficiency of production. The authors reaserch blast furnace slag processing technology of factories "Hoa Phat" (Vietnam) and "Thai Nguyen" (Vietnam) to produce mineral additives. As a result of the conducted researches the chemical and mineralogical composition of slags are received, their physical and mechanical characteristics are considered and defined: specific surface area, density, water demand, and others. According to standard of Vietnam and Russia, slag activity index is calculated when considering the possibility of using blast furnace slags to replace part of the binder. The relationship between the strength of the cement-sand mortar and density affected by the binder are reveald (where; binder = Portland cement + Granulated blast furnace slag). Comparison chart of slag activity index IR (%) has been shown. The paper uses the Vietnamese standard TCVN 11586: 2016 to analyze the possibility of using blast furnace slag (Vietnam) in the technology of concrete and mortar construction.

Effects of calcination variables on quicklime yield of Nkalagu limestone

2021 ◽  
Vol 1 (2) ◽  
pp. 012-023
Author(s):  
Benson Chinweuba Udeh ◽  
Chidinma Lovelyn Ani ◽  
Monday Omotioma
Keyword(s):  
Particle Size ◽  
Mineralogical Composition ◽  
Operating Conditions ◽  
Quadratic Model ◽  
Calcination Process ◽  
Plant Equipment ◽  
The Relationship ◽  
Central Composite

Calcination of Nkalagu limestone for the production of agricultural quicklime is presented. It entails improving the quality of limestone through calcination process. Appropriate scientific instruments/techniques (x-ray diffractometer and scanning electron microscopy) were used for the characterization of the uncalcined and calcined limestone samples. Effects of calcination variables on the quicklime yield were examined. Central composite design of design expert software was used to optimize the calcination process. Analyses of the results revealed that calcite was the major limestone’s mineralogical composition. Quadratic model adequately described the relationship between quicklime yield and calcination factors of temperature, particle size and time. Quadratic model adequately described the relationship between quicklime yield and calcination factors of temperature, particle size and time. The optimum yield of 74.00% was obtained at optima operating conditions; temperature of 937.41 0C, particle size of 85.99µm and time of 3.7 hrs. Characteristics of the quicklime showed that the calcination improved the quality of the sample in terms of mineralogical properties. It is recommended that the generated model should be used to develop chemical plant/equipment for limestone calcination process.

Influence of Wear Volume on Surface Quality in Grinding Process Based on Wear Prediction Model

2021 ◽  
Author(s):  
Wei Cao ◽  
Zhao Han ◽  
Ziqi Chen ◽  
Zili Jin ◽  
Jiajun Wu ◽  
...  
Keyword(s):  
Surface Quality ◽  
Surface Profile ◽  
Wear Test ◽  
Test Method ◽  
Wear Volume ◽  
Grinding Process ◽  
Grinding Temperature ◽  
Wear Prediction ◽  
The Relationship ◽  
Temperature Surface

Abstract In the grinding process, the workpiece would not only be cut by abrasive grains, but also have adhesive wear caused by high temperature and heavy load, which makes the surface quality of the workpiece worse. In this paper, a wear test method considering speed, force, wear coefficient, temperature and hardness was proposed. A new wear prediction physical model was established based on finite element method and numerical simulation technology. The wear test was carried out on a grinding machine. The comprehensive research on the relationship between force, temperature, surface morphology and wear volume of grinding process was studied. The relationship between workpiece speed, grinding depth, cooling lubrication conditions and wear volume of grinding process was studied. The results show that the wear model can achieve numerical prediction and trend prediction of grinding temperature, surface profile and wear volume, the relative errors between the theoretical and actual values of wear and grinding temperature are 9.84% and 2.07% respectively. This study provides a support for wear prediction and surface quality control of grinding process from the perspective of temperature and micro material removal form.

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