Advanced Production Technologies Research Articles

ASSESSMENT OF AGROBIOMAS POTENTIAL OF AGRICULTURE OF UKRAINE FOR THE PRODUCTION OF BIOFUELS

The need to develop the potential of agrobiomass for the production of biofuels is justified, which will make it possible to partially ensure the energy security of the state in the conditions of martial law. The volumes of cultivation of the main agricultural crops and the number of livestock in the field of livestock breeding in Ukraine were determined. The structure of the use of fuel and energy resources in the agro-industrial sector of the country was analyzed and the possibility of replacing oil products in the general energy balance with biodiesel and bioethanol was established. It was determined that the volume of rapeseed production in 2022 has increased by 12.9% compared to the previous year, and the increase in the price of gas oil and disruption of the logistics chains of the export of agricultural products determines the economic feasibility of processing this crop. It has been proven that the use of advanced biogas production technologies will make it possible to increase the level of environmental security of the state, optimize the content of humus in the soil due to the use of digestate, and increase the level of energy security of the state. It was determined that the total consumption of fuel and energy resources by agro-industrial complex formations in Ukraine amounted to 3.84 million tons of equivalent fuel or 2.69 million toe, and the total consumption of these resources was 86.4 million toe. It was established that the consumption of energy resources by agro-industrial complex enterprises was only 3.1% of the total consumption. It was determined that using the potential of agro-biomass of the agricultural industry will make it possible to annually obtain: 3.444 billion m3 of biogas, 1.2 million tons of biodiesel, 10.4 million tons of bioethanol, and 1.59 billion tons of solid biofuels from post-harvest residues. It has been established that the use of the energy potential of the agricultural sector will make it possible to almost completely meet the needs of not only this sector of the economy, but also the entire country in gas oil due to the production of biofuel, and the potential of bioethanol production can be partially used for export. The need to develop biofuel production at both agro-industrial complex enterprises and households has been identified. It has been proven that the use of the advanced technologies for transporting liquid digestate and injecting it will reduce the costs of agricultural formations and increase the content of humus in the soil.

Regional economic disproportions and sustainability of regional economic systems under the 2022 sanctions

In the current economic and political environment, the primary task is to strive for technological independence and self-sufficiency of the economy with maximum reliance on its own resources in development, while not excluding economic expansion by increasing competitiveness of the economy in global market. The key competitive factor is innovativeness of products and services, as well as the degree of the most advanced production technologies implementation, which together have a decisive impact on the economy efficiency in both external and domestic markets. The widespread development of globalization trends, digitalization, modern means of communication, the territorial factor importance are replaced by the factors of technological, scientific, and innovative development. In this regard, it is an urgent task to study these processes and search for factors affecting the qualitative growth of processes and manufactured products efficiency. In the present study, using mathematical and statistical methods, it has been established that the decisive value for the economy efficiency on a national scale is the value of expenditures on research and development and experimental-construction works. This indicator has a direct impact on innovation processes both in the country as a whole and in individual regions. However, one of the significant obstacles in development and sustainability of regional economies is hyperconcentration of scientific expenditures in a few regions that has a negative impact on regional development efficiency.

Scientific examination and study of the Qijia culture bronze artifacts from Mogou site in Lintan, Gansu

Abstract The Mogou site in Lintan, Gansu, has yielded the largest collection of Qijia culture bronze artifacts discovered to date. More than 300 bronze artifacts were unearthed, including new forms such as bracelets, neck ornaments, and earrings with trumpet-shaped ends, reflecting the advanced bronze production technology during the late Qijia culture period. This paper presents an analysis of 146 bronze artifacts from the Mogou site, conducted through metallographic microscopy and SEM-EDS analysis. Our results indicate that a relatively high percentage of small ornaments, primarily made of tin bronze, underwent hot forging and cold working, while tools, primarily made of copper and tin-bronze, were typically cast. Furthermore, this study reveals the concurrent existence of leaded tin bronze and arsenical bronze during the late Qijia culture period, suggesting influences from multiple metallurgical systems.

Assessing the sustainability of garlic production for determining strategies in Garlic Sustainable Development Program

Indonesia is the largest garlic importer in the world, relies on imports for over 95% of its garlic needs. To address this import dependence and meet domestic demands, the Government initiated the National Garlic Development Program. However, the program has yet to achieve the targeted production, even the development of garlic faces many obstacles that threaten its sustainability. The objectives of this study are as follows: (1) to determine the sustainability status of garlic production based on the dimensions of sustainability, and (2) to identify the leverage factors for the sustainability of garlic farming. The research location was purposively selected in Temanggung District, Central Java, which is Indonesia’s largest garlic production center. The sustainability status of garlic production was analyzed using multidimensional scaling (MDS). The results indicate that garlic production exhibits a less sustainable status across multiple dimensions. The identification of leverage variables, suggested interventions involve the following measures; enhancing irrigation systems and minimizing reliance on chemical fertilizers, providing price and marketing guarantees, reducing farmers’ dependency on subsidies, expanding the cultivated land through the application of advanced technologies for mass production of superior seeds, strengthening the involvement of agricultural extension officers, fostering consumer preferences and farmers’ engagement in garlic cultivation.

Acceleration of enterprise digital transformation processes based on the two-level digital maturity assessment model

In modern conditions, the main factors of breakthrough development are competition by business models and the speed of decision-making. An enterprise is more efficient if it has a business model that is more adequate to the current level of development of advanced production technologies. The aim of the work is to form a modified model for assessing the digital maturity of an industrial enterprise, ensuring the acceleration of its digital transformation. A two-level model for assessing the digital maturity of industrial enterprises is proposed, which has a modular architecture and combines a top-level module for assessing the maturity of an enterprise and its management system and a lower-level module for identifying the level of digital maturity of the main, auxiliary business processes and technological solutions of the enterprise. The model is based on the use of qualitative analysis methods and allows to identify the strengths and weaknesses of an enterprise and identify opportunities for implementing digital innovative solutions. The developed model could be used as a basis for designing self-assessment tools for an industrial enterprise in the process of developing and adapting its digital transformation strategy. The advantage of the model is a systematic analysis of heterogeneous information about the level of maturity of the enterprise and its management system, characterizing the degree of achievement of its goals, as well as information about the level of digital readiness of individual business processes and technologies of the enterprise, the assessment of which will justify the implementation of differentiated digitalization tools. The model was tested at a large machine-building enterprise in the Republic of Bashkortostan.

Development Challenges of Fruit-Harvesting Robotic Arms: A Critical Review

Promotion of research and development in advanced technology must be implemented in agriculture to increase production in the current challenging environment where the demand for manual farming is decreasing due to the unavailability of skilled labor, high cost, and shortage of labor. In the last two decades, the demand for fruit harvester technologies, i.e., mechanized harvesting, manned and unmanned aerial systems, and robotics, has increased. However, several industries are working on the development of industrial-scale production of advanced harvesting technologies at low cost, but to date, no commercial robotic arm has been developed for selective harvesting of valuable fruits and vegetables, especially within controlled strictures, i.e., greenhouse and hydroponic contexts. This research article focused on all the parameters that are responsible for the development of automated robotic arms. A broad review of the related research works from the past two decades (2000 to 2022) is discussed, including their limitations and performance. In this study, data are obtained from various sources depending on the topic and scope of the review. Some common sources of data for writing this review paper are peer-reviewed journals, book chapters, and conference proceedings from Google Scholar. The entire requirement for a fruit harvester contains a manipulator for mechanical movement, a vision system for localizing and recognizing fruit, and an end-effector for detachment purposes. Performance, in terms of harvesting time, harvesting accuracy, and detection efficiency of several developments, has been summarized in this work. It is observed that improvement in harvesting efficiency and custom design of end-effectors is the main area of interest for researchers. The harvesting efficiency of the system is increased by the implementation of optimal techniques in its vision system that can acquire low recognition error rates.

Технологический суверенитет России: понятие, измерение, возможность достижения

Geopolitical tensions, sanction conflicts, and efforts to combat the COVID-19 pandemic are amplifying the trends of deglobalization in the global economy. In response, governments of various nations and regional alliances have initiated comprehensive programs aimed at revitalizing their domestic industries and bolstering their technological independence. Despite the widespread pursuit of technological sovereignty as a strategic objective in government policies, this concept remains somewhat ambiguous and lacks clear criteria for measurement. In the contemporary context, technological sovereignty extends beyond just the development of technology; it encompasses the deployment of these technologies within national enterprises and the subsequent production of competitive goods, at the very least for domestic markets. The various methods for assessing the level of technological sovereignty can be categorized into three groups: composite indices, multi-criteria evaluations without aggregation, and individual indicators. Composite indices often face challenges when combining diverse metrics, while simpler indicators, such as foreign trade statistics or patent activity, only capture specific facets of the evaluation. Multi-criteria approach without aggregation appear to offer a more objective assessment. This study conducted a dynamic analysis of the balance between domestically sourced and imported advanced production technologies utilized by Russian enterprises, examining the share of foreign value-added in final consumption and the proportion of domestically manufactured products in the market across major sectors of the Russian manufacturing industry. The results of these calculations indicate indications of strengthening technological sovereignty, particularly in the pharmaceutical and metallurgical sectors. Sectors with relatively lower levels of technological sovereignty include machinery manufacturing, electronics, and the textile industry.

Impact of Front Line Demonstrations in Improving Rice Productivity and Profitability in Jaunpur District of Uttar Pradesh, India

A study was carried out during Kharif, 2019 to assess the impact of Frontline Demonstrations (FLDs) on productivity and profitability of rice crop in Jaunpur district of Uttar Pradesh. The FLDs were conducted by the ICAR-Indian Agricultural Research Institute, Regional Station Pusa, Samastipur, Bihar, under the IARI-Outreach Programme to know the yield gap, technology gap, extension gap, economic return, extent of farmer’s satisfaction, and constraints faced by the farmers, especially paddy growers. The critical inputs were identified in existing production technology through personal interaction, group meetings, and discussions with farmers and scientists. Improved variety, soil testing, seed treatment, integrated nutrient management, weed management, and pest and disease management are among the improved technologies. The result showed that switching from traditional farming methods to more advanced production technologies can result in yields of 30.00 percent and net returns of 27.00 percent. The extension gap of 1.20 t/ha, technological gap (0.55 t/ha), and technology index (9.57%) were registered for the Pusa Sugandha-5 variety. An additional returns of ₹16884.33/ha was obtained with an additional investment of ₹8395.67/ha, coupled with scientific monitoring of demonstrations and the use of rice varieties during investigations, which also influenced the economic returns per unit area. The constraint that was found to be the most difficult to overcome was the lack of improved, high-yielding rice varieties. In order to increase their yield and increase the production and productivity of rice in Uttar Pradesh, farmers in the area are advised to adopt new rice varieties as well as a recommended improved package of practices and technologies.

Knowledge-Intensive Market: Geomarketing and Cluster Approach to Functioning and Analysis

Relevance. Innovative development is one of the highest priority tasks of the economy at the national and regional level. One of the directions for solving these problems is the formation of local knowledge-intensive markets, within which the interaction of the main participants in the innovation cycle takes place - from conducting fundamental scientific research to introducing a knowledge-intensive product to the market. The object of the study was the local knowledge-intensive market of the Belgorod region. The sources of information for the study were data from the World Intellectual Property Organization (WIPO); research results presented in the eLibrary.Ru search engine; data from statistical reporting of the Territorial Body of the Federal State Statistics Service for the Belgorod Region.The purpose of the study is a cluster grouping of developed advanced production technologies in organizations of the Belgorod region.Objectives: content analysis of theoretical data on the research problem in the eLibrary.Ru search engine; analysis of thematic publications and regulatory documents, data from foreign countries; classification of tools for analyzing indicators of knowledge-intensive markets; grouping of quantitative indicators; testing of research results in the conditions of a regional knowledge-intensive market.Methodology. Retrospective content analysis, static data analysis, cluster analysis and grouping of developed advanced production technologies in organizations of the Belgorod region were used as research methods.Results. The article presents a brief analysis of the effectiveness of implementing these tasks from the perspective of geomarketing and cluster approaches. The main stages of the formation of cluster policy in the Russian Federation are highlighted and the conditions for the formation of this policy at the national level are analyzed. As a result of the research, the main geomarketing tools for analyzing the local knowledge-intensive market were structured; a grouping of quantitative parameters is proposed for conducting geomarketing and cluster analysis of a knowledge-intensive local market.Conclusion. Based on cluster analysis, advanced production technologies used in the region were grouped into four clusters, which can become the basis for further innovative development.

Creating Shared Value in Support of Coffee

This study offers a comprehensive analysis of Nescafe's Corporate Social Responsibility (CSR) strategy within the context of Indonesia. Employing a literature review methodology, the research draws on an extensive range of sources, including prior journal articles and official Nescafe company reports, to unravel the intricacies of Nescafe's CSR approach. The focal point of this examination is the globally recognized multinational coffee producer, Nescafe. The research involved an exhaustive review of eight selected journal articles that delve into Nescafe's CSR initiatives and sustainability reports. The outcomes of this analysis unveil a holistic perspective on Nescafe's sustainability strategy in Indonesia. A central facet of this strategy is dedicated to addressing pressing environmental concerns, chiefly marked by the ambitious objective of reducing greenhouse gas (GHG) emissions by an impressive 35% per metric ton of soluble coffee. This reduction is meticulously monitored through regular assessments encompassing critical factors such as water resources, soil quality, and biodiversity. Notably, the paramount goal of Nescafe's CSR program in Indonesia is to support local coffee farmers, enabling the distribution of Nescafe coffee products throughout the country. In a symbiotic relationship, Nescafe leverages the strengths of local farmers to source raw materials while simultaneously imparting advanced production technologies, ultimately enhancing the quality of the products. The depth of Nescafe's commitment to CSR is manifest through a plethora of documented programs and activities, all thoughtfully disseminated via the company's official website. This study provides a valuable lens through which to understand Nescafe's strategic CSR and sustainability efforts, underscoring the company's role in fostering environmental sustainability, uplifting local communities, and elevating product quality in Indonesia.

Role of Artificial Intelligence in Crop Protection

In the era of 21st century, agriculture is facing many challenges now-a-days to feed the world population. The population growth is increasing day by day and it expected to cross 10 billion by 2050. Agriculture farming plays significant role in growth of Indian economy. India stands second in farm production all over the world. After the green revolution, India face production loss with an estimate of US$ 36 billion. The agriculture production decreases mainly because of insect pests, diseases and weeds in important agricultural crops. Hence, there is a need of transition in farming system to adopt advanced and innovative technologies for more and sustainable production. In recent years Artificial intelligence gained popularity in agriculture and provides solutions in several areas like big data analysis, pest and disease forewarning models, mobile applications in IPM, Information and ICT based crop-advisory system, insect detection, pest and disease identification, etc. In the proposed paper, AI based applications discussed in detail to provide insights into innovative technologies and pave the way for knowledge dissemination and adoption of AI based technologies for more effective crop production and protection.

Iron and Steel Industry Emissions: A Global Analysis of Trends and Drivers.

The iron and steel industry (ISI) is important for socio-economic progress but emits greenhouse gases and air pollutants detrimental to climate and human health. Understanding its historical emission trends and drivers is crucial for future warming and pollution interventions. Here, we offer an exhaustive analysis of global ISI emissions over the past 60 years, forecasting up to 2050. We evaluate emissions of carbon dioxide and conventional and unconventional air pollutants, including heavy metals and polychlorinated dibenzodioxins and dibenzofurans. Based on this newly established inventory, we dissect the determinants of past emission trends and future trajectories. Results show varied trends for different pollutants. Specifically, PM2.5 emissions decreased consistently during the period 1970 to 2000, attributed to adoption of advanced production technologies. Conversely, NOx and SO2 began declining recently due to stringent controls in major contributors such as China, a trend expected to persist. Currently, end-of-pipe abatement technologies are key to PM2.5 reduction, whereas process modifications are central to CO2 mitigation. Projections suggest that by 2050, developing nations (excluding China) will contribute 52-54% of global ISI PM2.5 emissions, a rise from 29% in 2019. Long-term emission curtailment will necessitate the innovation and widespread adoption of new production and abatement technologies in emerging economies worldwide.

What role does global value chain participation play in emissions embodied in trade? New evidence from value-added trade

The international division of the value chain brings both opportunities and challenges to developing countries. Integration into the global value chain (GVC) has become a new driving force for economic growth in developing countries while simultaneously creating huge pressures for the reduction of carbon emissions. The existing literature focuses on the measurement of GVC embeddedness and embodied emissions, but rarely on the influencing mechanisms between them. From the perspective of value-added trade, this study recalculates the emissions embodied in exports of developing countries using the multi-regional input-output model (MRIO), and analyzes the influencing mechanisms between the GVC and embodied emissions arising from four transmission paths: export scale, industrial structure, technological progress, and environmental regulation. The results show that there is an inverted U-shaped nonlinear relationship between the degree of GVC embeddedness and the carbon emissions of developing countries. Consequently, a low degree of participation in the GVC is not conducive to the improvement of a country's ecological environment; conversely, when GVC participation exceeds the inflection point, it helps to reduce the scale of embodied emissions. Export scale and industrial structure play important positive transmission roles in the impact of GVC embeddedness on carbon emissions embodied in exports, and developing countries are locked-in at the low end of the GVC. Environmental regulation plays a non-linear intermediary role in the relationship between GVC participation and carbon emissions, while technological progress has no significant impact. Thus, developing countries should actively participate in the GVC, while focusing on learning opportunities arising out of advanced low-carbon production technologies from developed countries, thereby benefiting from the technology spillover effect.

Wafer Image Preprocessing Based on Density Based Spatial Clustering of Application with Noise

With the development of microelectronic manufacturing technology, semiconductor manufacturing presents the trend of maximization of scale and miniaturization of process size. Even if the wafer production now has a high automation of the production process, high-precision production equipment and advanced production technology, wafer abnormal situation is still inevitable. Abnormal conditions in semiconductor manufacturing process will reduce the yield of wafer products and increase production costs. The later analysis becomes the necessary means to improve the wafer yield. With the rapid development of modern computing power, the application of machine learning-based automatic detection method in semiconductor production is irresistible. In addition to its spatial pattern, there are many noises that can affect the classification of defects, so it is necessary to preprocess the wafer diagram. The traditional density based spatial clustering of application with noise (DBSCAN) algorithm needs to determine two clustering parameters artificially, and the choice of parameters can affect the clustering effect easily, the parameter list was obtained by K-mean nearest neighbor algorithm and mathematical expectation method, and the integrated parameters of intra-cluster density and inter-cluster density after DBSCAN clustering were selected as evaluation indexes to select the optimal parameters. Finally, a self-adaptive (SA)-DBSCAN map is obtained by retaining the largest cluster, adding feature points and feature clusters, thus improving the yield of wafer.

Искусственный интеллект в анализе человеческого капитала как основы экономической безопасности регионов Российской Федерации

At the present stage, which is characterized by new threats and challenges to Russia’s economic security, human capital is of fundamental importance for the innovative development of the country’s economy. From the perspective of innovative development, the dynamics of changes in the number of developed advanced production technologies by type of economic activity (total) in the Russian Federation for the period 2017–2021 is presented. It is shown that there is an increase in the number of advanced production technologies developed, which was not adversely affected by the external conjuncture. In view of the importance of human capital from the point of view of public health, the share of extra-budgetary investment in the development of sports on the scale of the federal districts of the Russian Federation for 2021, as well as the dynamics of the population (3–79 years) engaged in physical culture and sports for the period 2017–2021 is given. According to the author’s approach to the study of human capital development, the regions of Russia were certified using 12 classification features taken from the websites of Rosstat and the Ministry of Sports. The research method was an effective and creative method of cluster analysis based on neural networks — an essential section of artificial intelligence with the use of information technology. The result of neural network modeling was the differentiation of the regions of the Russian Federation into 6 clusters. The architecture of cluster formations is presented, reflecting the detailed entry of Russian regions into clusters. The average values of the considered indicators of human capital development in clusters and their average values in Russia are given. The analysis of the development of human capital in the regions of the Russian Federation through the prism of cluster formations was carried out, which showed its different level of development according to the totality of the studied indicators. Taking into account the systematic approach aimed at balancing and improving the development of human capital in the regions of Russia, the research method using artificial intelligence and the results presented in the work have practical significance. They can be effectively used in strategic planning of the development of Russian regions for the coming periods. This will serve to increase the validity of managerial decision-making in the direction of increasing the quality of human capital as the primary source of improving the economic security of the Russia.

Modeling Challenges for Building Technological Capacities to Achieve Sustainability in the Food Industry

The food industry plays a key role in the economy. The high potential of this field and its contribution to sustainable development is revealed by being well equipped with advanced production and management technologies. In developing countries, including India, the sector is insufficiently focused on building this capacity and harnessing its effects for progress.The saturation of the economy with innovation and communication diversity gives it increased complexity, non-linearity, interconnectedness and interdependence. Such synergy has two poles. With proper management and holistic coverage of complex systems, it generates a cascade of self-reinforcing positive development processes. However, in their absence, there are large-scale problems that hinder the transition to a «green» model of development, which is especially relevant for the agricultural sector as one of the main pollutants of the environment and the triggers of climate change. The article analyzes the relationship between the complex problems, assessing their strength of influence, the degree of dependence on other factors. It reveals the «points of application» of efforts, the work with which will launch self-organizing processes, allowing to eliminate other barriers to the goals of sustainable development.

On the lunula stone pendants and their taiga counterparts

The paper provides brief information about crescent-shaped or moon-shaped stone pendants from the Bronze Age sites of Southern and Western Siberia. These artifacts belong to the category of rather rare finds. Across the vast territory from Cisbaikalia in the east to the Middle Irtysh Basin in the west only about 50 such items are known from the complexes of Glazkovo, Okunevo, Elunino, Odino, Krotovo, and Stepanovo archaeo-logical cultures. In most cases, lunula pendants originate from the burial complexes. Particular attention is paid to the items associated with the archaeological cultures of the taiga zone of Western Siberia (Kulyegan, Polymyat, and Vary-Khadyta). The context of 13 finds, their raw material and shape has been characterized in detail. The items of the forest series feature small dimensions: a length from 4.7–5 to 8.5 cm and a thickness from 0.17 to 0.45 cm. In comparison with the larger artefacts of the Glazkovo, Krotovo, and Odino Cultures, the taiga pendants look like their miniature imitations. Most of the items were found in the settlements. The Eneolithic — Early Bronze Age archaeological sites of the taiga Ob Basin, whose materials contain lunula pendants, belong to the 3rd — early 2nd mil. BC. This chronological range coincides with the presence of such artifacts in the forest-steppe zone. The peculiar stone pendants are interpreted as an attribute of a new symbolism in the cultures of the forest communi-ties, introduced by the Seima-Turbino groups of the population. Migrations of the Seima-Turbino populations along the Ob and Irtysh Rivers were accompanied by the mass distribution in the taiga zone of large fortified dwellings, new types of metal tools and weapons, advanced metal production technologies, and the widespread use of tin bronzes. They explain the similarity of the pottery materials and stone inventory of the taiga and the forest-steppe sites. The discovery of stone pendants in various forest zone regions, including its Arctic outskirts, allows one to interpret them as a characteristic Siberian symbolic attribute of the Palaeometal Period.

Controlling For X: Export Controls and Emerging Technology Competition

The prevailing view in Washington is that the United States and China are in a fierce competition for control of critical technologies of the future. The Biden Administration’s October 2022 semiconductor export control rules target China’s ability to make or obtain the most advanced semiconductors – the foundational components of advanced technologies. It is best to understand the United States semiconductor export controls as a tool being wielded by the US government in a fight for global technological dominance, particularly in the realm of AI. This strategy represents a substantial assertion of extraterritorial power by the United States, increases the risk of catastrophic conflict between the United States and China, and has the potential to backfire by accelerating China’s domestic semiconductor industry development. The United States should consider easing elements of the semiconductor export controls in exchange for diplomatic concessions, such as greater bilateral military communication, and focus more attention on increasing domestic production of advanced semiconductor technologies by fast tracking expert visas and permitting for new semiconductor fabrication facilities.

Strategic response to Industry 4.0 – an empirical analysis from a developing country perspective

ABSTRACT The advent of Industry 4.0 technologies has triggered a transformation in the manufacturing sector worldwide. As such, it has become crucial to identify the critical success factors that impact the adoption of advanced production technologies as part of the Industry 4.0 strategy. This study has employed the Technology, Organization, Environment framework to analyse the influencing factors of the steel manufacturing sector in a developing country. The results indicate that organisational readiness, external pressure and government policies do not influence significantly, whereas IT maturity, technological incentives, perceived benefits, top management support and employee capability have a significant influence on the use of advanced production technologies. In light of these results, this study not only contributes to the advancement of Industry 4.0 theory but also provides valuable guidance for managers, policymakers and practitioners on implementing advanced production technologies.

Charge Obtained by Electrodispersing Waste of the LS58-3 Alloy in Distilled Water

The purpose of this study was to conduct metallographic studies of the composition of the charge obtained by the method of electrodispersion of lead brass waste in distilled water.Methods. Waste electrodispersion of lead brass brand LS58-3 was carried out on an experimental setup. Metallographic studies of charge samples from LS58-3 alloy waste were performed using the equipment of FGBOU VO SWGU and NRU BelGU: the shape, size and structure of charge particles, as well as its granulometric composition.Results. On the basis of the conducted experimental studies aimed at studying the composition, structure and properties of the charge obtained from the waste of the LS58-3 alloy in distilled water, the high efficiency of using the electrodispersion technology is shown, which provides, at low power costs, the production of new copper-lead powders suitable for industrial use. materials. It is noted that the powder materials obtained by electroerosion of lead brass waste of grade LS58-3 in distilled water have the following characteristics: the geometric shape of the charge particles is mainly spherical; particle sizes from 0.45 to 29.63 microns; the volume average particle diameter is 7.1 μm.Conclusion. The research carried out will allow for a gradual transition to advanced production technologies and materials through the use of progressive, environmentally friendly, low-tonnage and waste-free technology of electroerosive dispersion in the production of new copper-lead powder materials from LS58-3 alloy waste.