scholarly journals Aluminum Slag Separation Process Analysis Through a Vibratory Machine in the Foundry Process

Author(s):  
Valcimar de Souza Oliveira ◽  
Denise Andrade do Nascimento ◽  
Luís Smith de Oliveira Castro ◽  
Thales Ruano Barros de Souza ◽  
Luan da Silva Serrão

A The aluminum smelting industry has some challenges, due to the characteristics of the alloy that cause reactions that should be controlled. During the foundry process, the alloy is oxidized by contact of the molten aluminum with the ambient air. Oxide films forming on the surface of the molten metal must be removed during the cleaning of the furnaces in order to avoid contamination of the alloy to be used in the production of parts. Analyzing the melting process of a metallurgy at the industrial complex in Manaus, we saw that during the cleaning of the furnaces a metal tool is used to remove the slag, which brings with it a high level of aluminum brought about by the mechanical drag of the tool. As the company in question does not have resources to recover the metal aluminum contained in the slag, it is destined for the other institution which carried out the processing through the process of refusion of the slag and extraction of aluminum. The high level of losses in the process due to the discarding of slag generates considerable financial damage to the institution, reflected directly in the cost of manufacturing the products. In this way, the aim of the present work was to develop equipment for the extraction of the metal aluminum contained in the slag and consequently to reduce the losses in the process. The design of the equipment was chosen through a product development methodology, which made it possible to define the design specification, which can count on a container for the receipt and separation of the slag by means of the vibration brought on by motorvibrators installed at its ends, followed by a slingshot drawer responsible for the storage of the metal after the solidification and support/translate cars of the containers.

2019 ◽  
pp. 87-98
Author(s):  
Dmitriy PARMACLI ◽  
Tetyana DERKACH ◽  
Lyudmila BAKHCHIVANZHI

Introduction. Calculation of economic efficiency for the purpose of increasing sales revenues at agroindustrial enterprises has its own specifics. Implementation of new organisational and economic initiatives leads not only to a direct economic impact, but likewise to a significant indirect effect as well. The analysis of scientific publications on this problem allowed to find out that the existing techniques of the analysis of influence of factors on financial results of activity of the enterprises of agro-industrial complex are characterized by the high level of adaptedness to conditions of practical economic activity and provide needs of financial managers at adoption of optimal management decisions. However the high level of production diversification of the enterprises of agro-industrial complex demands further improvement of the factorial analysis taking into account branch features of the enterprises of the agro-industrial sector. Purpose of the research is to elaborate and to demonstrate – based on specific examples – a method of calculation of direct and indirect effect of marginal sales revenues at agroindustrial enterprises. The important question is due to what factors is the increase in profits from product sales. Results. The specifics of calculations of economic efficiency of innovative developments at agroindustrial enterprises are provided. Furthermore, a method of calculating revenue per unit of production and in total across an enterprise, including those achieved due to output volume growth, a decrease in the cost of production and an increase in realised output prices, is presented. However, both in academic and practical production conditions the method of calculating the values and interrelations between a direct and an indirect effect are elaborated on insufficiently. It is quite obvious that the revenue per unit of output and total revenue realised across an enterprise tends to increase alongside an increase in the total sales volume respectively. However, hereby the following relationship is identified: marginal revenue due to a decrease in the cost of production typically exceeds marginal revenue due to an increase in sales revenues. This relationship is confirmed based on an example of an industrial enterprise. Therefore was executed research of interrelation of direct and concomitant effect growth of volume of realization for what were executed calculations of gain of profit both due to growth of the sum of realization, and due to decrease in prime cost (at the invariance of prices for products). Conclusions. The conducted research allowed to find out that the concomitant effect, that is profit mark-up due to decrease in product cost, exceeds a direct effect, received for the account of growth of volume of realization, is reached in case when coefficient of a ratio of concomitant effect to direct effect directly proportional the specific weight of constant expenses in structure of prime cost and inversely proportional coefficient of profitability of the sold products. The conducted research demonstrated that the efficiency of implementation of innovative developments at industrial enterprises which are directed towards an increase in sales volumes depend not only on marginal output volume, a decrease in the cost of production and an increase in sales prices, but also on an initial state of production expressed via a ratio of fixed costs to variable costs and a resulting level of production profitability accordingly. A higher economic effect if provided by an innovative development which – all else equal – is implemented on industrial enterprises which have a higher share of fixed costs in the total structure and a lower output profitability respectively.


2019 ◽  
Vol 10 (1) ◽  
pp. 1-27
Author(s):  
Aniek Wijayanti

Business Process Analysis can be used to eliminate or reduce a waste cost caused by non value added activities that exist in a process. This research aims at evaluating activities carried out in the natural material procurement process in the PT XYZ, calculating the effectiveness of the process cycle, finding a way to improve the process management, and calculating the cost reduction that can achieved by activity management. A case study was the approach of this research. The researcher obtained research data throughout deep interviews with the staff who directly involved in the process, observation, and documentation of natural material procurement. The result of this study show that the effectiveness of the process cycle of natural material procurement in the factory reached as much as 87,1% for the sand material and 72% for the crushed stone. This indicates that the process still carry activities with no added value and still contain ineffective costs. Through the Business Process Mechanism, these non value added activities can be managed so that the process cycle becomes more efficient and cost effectiveness is achieved. The result of the effective cycle calculation after the management activities implementation is 100%. This means that the cost of natural material procurement process has become effective. The result of calculation of the estimated cost reduction as a result of management activity is as much as Rp249.026.635,90 per year.


Author(s):  
Alexey Gerasimov ◽  
Evgeny Gromov ◽  
Oksana Grigor'eva

Improving the efficiency of agricultural production and the competitiveness of agricultural products is impossible without the creation of professional teams with a high level of productivity. The formation and development of the personnel potential of the agro-industrial complex comes to the fore in the light of ensuring the country’s food security and solving the problems of import substitution. The development of the industry relies more on the creation of a vertical education system, the development of rural territories, etc. Compilation of forecasts for the staffing of the agroindustrial complex will coordinate the efforts of educational institutions, business structures, and authorities in organizing the training and retraining of personnel for the agricultural sector.


The productivity of land has been often discussed and deliberated by the academia and policymakers to understand agriculture, however, very few studies have focused on the agriculture worker productivity to analyze this sector. This study concentrates on the productivity of agricultural workers from across the states taking two-time points into consideration. The agriculture worker productivity needs to be dealt with seriously and on a time series basis so that the marginal productivity of worker can be ascertained but also the dependency of worker on agriculture gets revealed. There is still disguised unemployment in all the states and high level of labour migration, yet most of the states showed the dependency has gone down. Although a state like Madhya Pradesh is doing very well in terms of income earned but that is at the cost of increased worker power in agriculture as a result of which, the productivity of worker has gone down. States like Mizoram, Meghalaya, Nagaland and Tripura, though small in size showed remarkable growth in productivity and all these states showed a positive trend in terms of worker shifting away from agriculture. The traditional states which gained the most from Green Revolution of the sixties are performing decently well, but they need to have the next major policy push so that they move to the next orbit of growth.


Author(s):  
Nataliya Ryvak ◽  
Anna Kernytska

In this paper, digital technologies development was analyzed as the basis for the so-called “fourth industrial revolution” with the potential for the qualitative transformation of the Ukrainian economy based on EU countries’ experience. Industry 4.0 is a new control chain over the entire chain of creating value throughout the product lifecycle. When developing an economic policy, it is important to pay attention to Industry 4.0. It increases productivity, produces new, better, and individualized products, and implements new business models based on “undermining” innovations. A comparative analysis of national initiatives I4.0 with their characteristics according to the main dimensions, including funding, focus, direction, was conducted. Particular attention was paid to considering deterrents to the successful implementation and enforcement of the I4.0 initiative in European countries. The factors of successful implementation of I4.0 initiatives in the EU countries were analyzed. Drawing on the analysis of the European experience of digital transformations in industry and national economies in general, the necessity of critical focus of such transformations in Ukraine was highlighted, and the need for state support of industrial transformation was substantiated. The emphasis was placed on the cooperation development between stakeholders within the implementation of Industry 4.0 – it is necessary to create national and regional 4.0 platforms, following the example of EU countries, which would bring together government institutions, businesses, and academics. The successful positioning of the Ukrainian modern industrial complex on the world markets depends on the high level of the interconnected system providing factors that characterize its development process. Considering the influence of a list of inhibiting factors on implementing the country’s industry accelerated development, a set of measures needed to transform Ukraine’s industry based on European experience was substantiated.


2019 ◽  
Vol 33 (6) ◽  
pp. 800-807 ◽  
Author(s):  
Graham W. Charles ◽  
Brian M. Sindel ◽  
Annette L. Cowie ◽  
Oliver G. G. Knox

AbstractField studies were conducted over six seasons to determine the critical period for weed control (CPWC) in high-yielding cotton, using common sunflower as a mimic weed. Common sunflower was planted with or after cotton emergence at densities of 1, 2, 5, 10, 20, and 50 plants m−2. Common sunflower was added and removed at approximately 0, 150, 300, 450, 600, 750, and 900 growing degree days (GDD) after planting. Season-long interference resulted in no harvestable cotton at densities of five or more common sunflower plants m−2. High levels of intraspecific and interspecific competition occurred at the highest weed densities, with increases in weed biomass and reductions in crop yield not proportional to the changes in weed density. Using a 5% yield-loss threshold, the CPWC extended from 43 to 615 GDD, and 20 to 1,512 GDD for one and 50 common sunflower plants m−2, respectively. These results highlight the high level of weed control required in high-yielding cotton to ensure crop losses do not exceed the cost of control.


Mathematics ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 1447
Author(s):  
Jose P. Suárez ◽  
Agustín Trujillo ◽  
Tania Moreno

Showing whether the longest-edge (LE) bisection of tetrahedra meshes degenerates the stability condition or not is still an open problem. Some reasons, in part, are due to the cost for achieving the computation of similarity classes of millions of tetrahedra. We prove the existence of tetrahedra where the LE bisection introduces, at most, 37 similarity classes. This family of new tetrahedra was roughly pointed out by Adler in 1983. However, as far as we know, there has been no evidence confirming its existence. We also introduce a new data structure and algorithm for computing the number of similarity tetrahedral classes based on integer arithmetic, storing only the square of edges. The algorithm lets us perform compact and efficient high-level similarity class computations with a cost that is only dependent on the number of similarity classes.


Author(s):  
Irfan Uddin

The microthreaded many-core architecture is comprised of multiple clusters of fine-grained multi-threaded cores. The management of concurrency is supported in the instruction set architecture of the cores and the computational work in application is asynchronously delegated to different clusters of cores, where the cluster is allocated dynamically. Computer architects are always interested in analyzing the complex interaction amongst the dynamically allocated resources. Generally a detailed simulation with a cycle-accurate simulation of the execution time is used. However, the cycle-accurate simulator for the microthreaded architecture executes at the rate of 100,000 instructions per second, divided over the number of simulated cores. This means that the evaluation of a complex application executing on a contemporary multi-core machine can be very slow. To perform efficient design space exploration we present a co-simulation environment, where the detailed execution of instructions in the pipeline of microthreaded cores and the interactions amongst the hardware components are abstracted. We present the evaluation of the high-level simulation framework against the cycle-accurate simulation framework. The results show that the high-level simulator is faster and less complicated than the cycle-accurate simulator but with the cost of losing accuracy.


Author(s):  
L. S. Pioro ◽  
I. L. Pioro

It is well known that high-level radioactive wastes (HLRAW) are usually vitrified inside electric furnaces. Disadvantages of electric furnaces are their low melting capacity and restrictions on charge preparation. Therefore, a new concept for a high efficiency combined aggregate – submerged combustion melter (SCM)–electric furnace was developed for vitrification of HLRAW. The main idea of this concept is to use the SCM as the primary high-capacity melting unit with direct melt drainage into an electric furnace. The SCM employs a single-stage method for vitrification of HLRAW. The method includes concentration (evaporation), calcination, and vitrification of HLRAW in a single-stage process inside a melting chamber of the SCM. Specific to the melting process is the use of a gas-air or gas-oxygen-air mixture with direct combustion inside a melt. Located inside the melt are high-temperature zones with increased reactivity of the gas phase, the existence of a developed interface surface, and intensive mixing, leading to intensification of the charge melting and vitrification process. The electric furnace clarifies molten glass, thus preparing the high-quality melt for subsequent melt pouring into containers for final storage.


Atmosphere ◽  
2018 ◽  
Vol 9 (7) ◽  
pp. 274 ◽  
Author(s):  
Mengxin Xiao ◽  
Qiongzhen Wang ◽  
Xiaofei Qin ◽  
Guangyuan Yu ◽  
Congrui Deng

The characteristics of biogenic aerosols in an urban area were explored by determining the composition and temporal distribution of saccharides in PM2.5 in Shanghai. The total saccharides showed a wide range of 9.4 ng/m3 to 1652.9 ng/m3, with the averaged concentrations of 133.1 ng/m3, 267.5 ng/m3, 265.1 ng/m3, and 674.4 ng/m3 in spring, summer, autumn, and winter, respectively. The saccharides include anhydrosaccharides (levoglucosan and mannosan), which were higher in cold seasons due to the increased biomass burning; saccharide alcohols (mannitol, arabitol, sorbitol); and monosaccharides (fructose, glucose), which were more abundant in warm seasons and attributed to the biological emissions. Through positive matrix factorization (PMF) analysis, four emission sources of saccharides were resolved, including biomass burning, fungal spores, plant decomposition, and pollen. Moreover, the process analysis of high concentrations of leveglucosan was conducted by backward trajectory and fire points. We found that concentrations of anhydrosaccharides were relatively stable under different pollution levels, while saccharide alcohols exhibited an obvious decrease with the concentration of PM2.5, indicating that biomass burning was not the core reason for heavy haze pollution. However, high level PM2.5 pollution might inhibit the effects of biological activities.


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