Electric Industry Research Articles

High-Speed and Low-Noise Gear Finishing by Gear Grinding and Honing: A Review

AbstractGears are important mechanical parts for transmitting power and play an increasingly important role in the machinery industry. The electric vehicle industry developed rapidly and became a vital development field of the automotive industry over the past few years. The conversion of energy increases the requirements for electric vehicle transmissions, which promotes the development of high-speed and low-noise transmission gear. This paper elaborates on the research progress of high-speed and low-noise gear finishing methods. Firstly, this review analyses the machining requirements, finishing, and specific machining technologies of high-speed and low-noise gears. The importance of gear grinding and honing in high-speed and low-noise gear machining is highlighted. Secondly, the applications of gear grinding and honing in gear modification, error compensation, and texture control are analyzed. Furthermore, the role of precision machining technology in improving gear performance is clarified. Finally, the design and processing methods of the modified tooth flank for gear modification are summarized. In addition, the influence of tooth surface texture on noise is described, and the texture change methods are explored. The well-known open problems of gear finishing are finally identified, and some new research interests are also pointed out. This review will provide valuable references for further research on gear finishing.

Linear transverse flux generator for wave energy conversion: design optimization and analysis

Abstract The electric power industry impacts each state’s economy significantly, driven by increasing electricity consumption that necessitates expanding power plants and finding alternative energy sources. Among alternative energy sources, ocean and sea wave energy converters can be distinguished as a separate class. Wave energy converters transform wave energy into mechanical and then electrical energy. The purpose of the study is to analyze and optimize the magnetic system of a transverse flux machine (TFM) linear generator and to determine the influence of the distance between the stator cores on the efficiency of the generator. This research included conducting 3D modeling and analysis to identify this rational distance. The methods for investigating the magnetic system and calculating the magnetic field pattern are divided into analytical and numerical. Thanks to advanced software for solving such tasks, numerical calculation methods based on the finite element method play a decisive role. Meanwhile, analytical calculations of the magnetic circuit are performed using Kirchhoff’s second law for preliminary analysis. The article discusses a two-phase linear TFM generator with a U-shaped core and permanent magnets. The results of numerical modeling show that the distance between the stator cores should have a specific size and requires detailed selection when designing the magnetic system in each particular case. In the design studied, it was calculated that 6 mm between the stator cores increases the machine’s performance. 3D modeling is necessary for accurate analysis, considering the axial magnetic flux to minimize stray fields and their mutual demagnetization. Future research will explore an E-shaped core TFM design.

Power Battery Recycling Model of Closed-Loop Supply Chains Considering Different Power Structures Under Government Subsidies

With the rapid growth of the electric vehicle industry, the recycling of power batteries has attracted significant attention. In light of current circumstances, the question of how the government can incentivize relevant stakeholders to actively engage in recycling and improve its efficiency has become increasingly pressing. In this context, this study analyses and develops four closed-loop supply chain recycling models to investigate how different government subsidy recipients under varying power structures influence recycling efficiency, profitability, and the overall supply chain structures. The following conclusions are derived from numerical simulations: (1) Government subsidies serve to elevate recycling prices, expand profit margins, and consequently boost the volume of recycled batteries, thus incentivizing corporate engagement in recycling initiatives. (2) When the processor assumes the role of the leader in the Stackelberg game framework, it can maximize the overall efficiency and profitability of the supply chain. (3) The sensitivity coefficient and the competition coefficient are closely interrelated, exerting opposing impacts on the recycling decision made by enterprises. (4) The supply chain leader plays a crucial role in ensuring orderly supply chain development, with government subsidies of the supply chain being transmitted to its members through the leader. Consequently, this study offers a theoretical foundation for the government to enhance policy-making and for enterprises to make informed decisions. It also holds significant practical relevance in addressing the challenges associated with power battery recycling.

Service center in electricity distribution sector with variable peak electricity time: A two-stage queuing model approach with nested simulation

Customer service is essential for any business, significantly impacting customer satisfaction, brand reputation, and reducing associated costs. In the electricity industry, this importance is heightened due to the critical nature of electricity in daily life and growing usage rate of new technologies. Effective customer service in electric distribution companies involves handling a wide range of inquiries, from billing issues to technical support, requiring both remote and on-site assistance. The variability in customer calls, influenced by factors such as peak electricity hours, and different service and customer types, presents unique challenges in designing efficient service centers. This research develops a tailored model for the service center operations of a power distribution company, focusing on optimal staffing levels within budget constraints. A two-stage queuing model is proposed to address the needs of residential and non-residential customers. The study employs nested simulation techniques to account for variability in customer arrival times and peak hours. Key performance indicators (KPIs) are used to evaluate the effectiveness of staffing policies, considering both quantitative and qualitative costs. The study integrates stochastic optimization and ranking and selection methods to identify the best staffing configurations. The findings offer actionable insights for improving customer service efficiency and operational effectiveness in electricity customer service centers.

The effects of service quality on relationship quality and loyalty in business-to-business electrical and electronics industry

PurposeThis study investigates the relationships between service quality, relationship quality (i.e. satisfaction, trust and commitment) and loyalty in the business-to-business (B2B) context.Design/methodology/approachA questionnaire was developed from a comprehensive literature review. It was verified by experts and statistical techniques. The data were collected from senior purchasing officers in 232 electrical and electronics companies in Thailand. Path analysis of structural equation modeling was used to analyze the hypothesized model.FindingsIt was found that service quality has a significant positive direct effect on satisfaction, trust and commitment. Commitment significantly affects loyalty, while service quality, satisfaction and trust do not.Originality/valueThis is one of the first examples of empirical research to examine the links between service quality, components of relationship quality and loyalty in the B2B electrical and electronics context.

A Study on the Development of the Tesla Brand and Its Societal Impact

This study explores the development of the Tesla brand and its profound societal impact. As a pioneer in the global electric vehicle industry, Tesla has achieved remarkable advancements in technological innovation while attracting widespread social attention through its unique business model and marketing strategies. The study first analyzes the background and evolution of the Tesla brand and then discusses its societal impact from the perspectives of environmental protection, technological progress, industrial chain influence, and social responsibility. The results indicate that Tesla has expanded the global electric vehicle market, promoted the adoption of green energy, and shifted public perceptions of the automotive industry. Additionally, Tesla’s branding strategies have inspired innovation and marketing approaches in other companies. Despite its success in sustainability and technological breakthroughs, Tesla faces challenges in labor management and financial sustainability. This study provides valuable insights into the future development of the electric vehicle industry and calls for companies to balance technological advancements with the fulfillment of social responsibilities.

Tesla’s Electric Future: A Comprehensive Marketing Strategy Analysis and Implementation Plan

This paper deeply explores the essence of Tesla’s marketing strategy in the field of electric vehicles, and accurately extracts three core competitiveness: brand influence, technological innovation and vertical integration of industrial chain. At the same time, it also faces the severe challenges faced by Tesla in expanding production capacity and coping with fierce competition in the market. In view of the explosive growth trend of the global electric vehicle market and the huge potential of the international market, this paper carefully planned a series of comprehensive strategic measures aimed at promoting Tesla’s continued growth. These measures not only cover the diversification of product lines, refined pricing strategies, increased investment in marketing resources and global market expansion, but also emphasize the flexible response mechanism for extreme market demand changes and deep cultivation of emerging markets to ensure Tesla’s leading position in the global electric vehicle industry and continue to lead the trend of industry innovation and development. In such a rapidly changing industry, Tesla must continuously enhance its strategic adaptability and innovation capabilities to meet the challenges of the future.

Unveiling BaTiO3-SrTiO3 as Anodes for Highly Efficient and Stable Lithium-Ion Batteries

Amidst the swift expansion of the electric vehicle industry, the imperative for alternative battery technologies that balance economic feasibility with sustainability has reached unprecedented importance. Herein, we utilized Perovskite-based oxide compounds barium titanate (BaTiO3) and strontium titanate (SrTiO3) nanoparticles as anode materials for lithium-ion batteries from straightforward and standard carbonate-based electrolyte with 10% fluoroethylene carbonate (FEC) additive [1M LiPF6 (1:1 EC: DEC) + 10% FEC]. SrTiO3 and BaTiO3 electrodes can deliver a high specific capacity of 80 mA h g−1 at a safe and low average working potential of ≈0.6 V vs. Li/Li+ with excellent high-rate performance with specific capacity of ~90 mA h g−1 at low current density of 20 mA g−1 and specific capacity of ~80 mA h g−1 for over 500 cycles at high current density of 100 mA g−1. Our findings pave the way for the direct utilization of perovskite-type materials as anode materials in Li-ion batteries due to their promising potential for Li+ ion storage. This investigation addresses the escalating market demands in a sustainable manner and opens avenues for the investigation of diverse perovskite oxides as advanced anodes for next-generation metal-ion batteries.

On the politics of constitutional law: an environmental case study of the role of politics and economics in constitutional appeals

AbstractThe U.S. government has responded to concern about climate change through regulation of carbon-dioxide emissions by the Environmental Protection Agency under the Clean Air Act. Regulation of the electric power industry has been central to the fight to reduce carbon-dioxide emissions, but these regulations have been challenged by constitutional appeals that have resulted in episodic advances and reversals. Grounds for constitutional appeal of environmental laws are many, but at their core is the question of whether a given law is consistent with the constitution. If constitutionality is central to the positions the attorneys general take on appeals of environmental regulations, political and economic factors should not affect their positions. Empirical evidence presented in this case study shows, however, that these factors are correlated with the positions the attorneys general of the U.S. states and District of Columbia took towards constitutional appeals of regulations of carbon-dioxide emissions from the electric power industry. At a broader level, these findings shed useful light on the question of how constitutional appeals are brought.

CONFORMIDADE DE PAINÉIS ELÉTRICOS COM A NR-10 E NBR 5410

As modern industry integrates into the era of automation 4.0, characterized by information exchange and connectivity, there are still industries with outdated processes and equipment. The NBR 5410 and NR-10 standards play crucial roles, stipulating requirements and safety measures for low-voltage electrical installations and protecting the health and safety of workers. Electrical panels, fundamental in this context, regulate industrial processes automatically and without human intervention, ensuring not only efficiency and productivity, but also safety and effective maintenance of operations. In view of the above, the study aims to analyze how electrical panels can be configured and adjusted to comply with Brazilian standards NR-10 and NBR 5410. This study adopts bibliographic methodology, extensively reviewing academic literature, articles, technical standards and relevant related documents the installation of electrical panels. A careful selection of primary and secondary sources will be made to ensure a comprehensive understanding of current and emerging practices in the field. The process includes an analysis of extracted data to identify patterns, challenges and opportunities for innovation, providing a solid basis for discussion and conclusions in the study. In this way, the application of these standards contributes to a cycle of continuous improvement in the electrical industry. By establishing safe and efficient procedures, standards not only protect the individuals directly involved, but also benefit society as a whole by ensuring the integrity and security of critical infrastructures.

Electrification or Hydrogen? The Challenge of Decarbonizing Industrial (High-Temperature) Process Heat

The decarbonization of industrial process heat is one of the bigger challenges of the global energy transition. Process heating accounts for about 20% of final energy demand in Germany, and the situation is similar in other industrialized nations around the globe. Process heating is indispensable in the manufacturing processes of products and materials encountered every day, ranging from food, beverages, paper and textiles, to metals, ceramics, glass and cement. At the same time, process heating is also responsible for significant greenhouse gas emissions, as it is heavily dependent on fossil fuels such as natural gas and coal. Thus, process heating needs to be decarbonized. This review article explores the challenges of decarbonizing industrial process heat and then discusses two of the most promising options, the use of electric heating technologies and the substitution of fossil fuels with low-carbon hydrogen, in more detail. Both energy carriers have their specific benefits and drawbacks that have to be considered in the context of industrial decarbonization, but also in terms of necessary energy infrastructures. The focus is on high-temperature process heat (>400 °C) in energy-intensive basic materials industries, with examples from the metal and glass industries. Given the heterogeneity of industrial process heating, both electricity and hydrogen will likely be the most prominent energy carriers for decarbonized high-temperature process heat, each with their respective advantages and disadvantages.

Dynamic interactions among exchange rate, natural gas demand, production in manufacturing and battery industry export – evidence from Hungary

In the context of the current global economic transformation, the rapid rise of the electric vehicle industry has made the battery industry a new focus of competition among countries. Despite its relatively small economic and demographic size, Hungary has garnered significant academic interest by emerging as the world’s third-largest battery producer in 2021. The study employed a dynamic vector autoregressive (VAR) model to determine that fluctuations in the Hungarian exchange rate have a notable immediate influ-ence on exports in the battery business，which suggests that changes in exc-hange rates directly affect international competitiveness. The battery sector is experiencing a progressive increase in the influence of fluctuations in na-tural gas demand, particularly in terms of their impact on production costs and supply chains. The battery industry has had substantial advancements in technological innovation and production efficiency as a direct result of the expansion in manufacturing production. And Hungary’s total industrial deve-lopment is significantly influenced by the long-term effects of export expan-sion in the battery industry. JEL Codes: L62, E44, O14, C22

STATE REGULATION OF THE EXTRACTION OF CRITICAL MINERALS AS A DOMINANT COMPONENT OF ACHIEVING THE GOALS OF SUSTAINABLE DEVELOPMENT AND STRENGTHENING THE ECONOMIC SECURITY OF THE STATE

The article states that the climate crisis and measures to mitigate it in recent years have significantly changed the energy landscape of the countries of the world and the configuration of the investment portfolio. Long-term investments in fossil fuels have been replaced by investments in environmentally friendly technologies, renewable sources of electricity, and smart systems for its distribution and storage. It is emphasized that even with full support of investments, plans for the decarburization of the electric power industry may remain unattainable, as the global reserves of «critical minerals», which are absolutely necessary for the transition to ecologically clean electric power, are noticeably decreasing and the demand continues to grow relentlessly. The scenarios developed by the International Energy Agency for the further transformation of the electric power sector to a low-carbon economy model were reviewed and briefly characterized: the scenario of declared policy (STEPS), the scenario of declared obligations (APS), and the scenario of net zero emissions by 2050 (NZE). The main aspects of each of the scenarios are outlined: the volume of demand for «critical minerals» their geographical concentration of extraction, and processing. It is emphasized that the world leader in the extraction and processing of «critical minerals» is the PRC, which dictates the «rules of the game» to the majority of the world's countries. Therefore, the issue of supplies of “critical minerals” is quite painful. It was emphasized that critical minerals market participants hope to reduce total dependence through new mining projects in different geographical regions, facilitating cross-investment opportunities between partner countries, and strengthening cooperation through initiatives such as the Mineral Security Partnership and the implementation of financial instruments. The potential of Ukraine's «critical minerals» and its ability to reduce the dependence of EU countries on the People's Republic of China are characterized. The main challenges of the development of the extractive industry in Ukraine are identified, and the main vectors of the Roadmap of the partnership between Ukraine and the EU regarding critical raw materials for 2023-2024 are outlined. It was emphasized that in order for Ukraine not to become only a supplier of raw materials, it is necessary to develop the processing of raw materials and the production of products with added value. It is emphasized that such localization requires much wider efforts of the government than the list of measures in the field of regulating the extraction of «critical minerals» defined by the latest legislative acts. The author emphasizes the need to develop a comprehensive system of incentives and introduce new opportunities for stabilization and sustainable development of Ukraine's economy in order to ensure sustainability and progress towards sustainable resource management and optimization of supply chains for critical raw materials. Proposals have been developed for climate-smart mining of «critical minerals» in Ukraine in the near future.

The Validity of Electricity Consumption as an Indicator for Economic Evaluation: Cross-Country Analysis

Abstract: This article aims to investigate the validity of using electricity consumption as an indicator to evaluate economic conditions and explore the relationship of this indicator across different countries. The study reveals a positive correlation between electricity consumption and the growth rate of Gross Domestic Product (GDP), which becomes more significant in the post-21st century period for middle-income, high-income countries, and globally. The relationship between the growth rate of industrial value-added and electricity consumption exhibits dynamic variations. It weakens for lower-middle-income countries but strengthens for upper-middle-income and high-income countries in the post-21st century. Moreover, there is a strong positive correlation between the logarithm of GDP and the logarithm of electricity consumption, particularly pronounced for high-income countries, with a significant increase in correlation in the 21st century. Similarly, a strong positive correlation exists between the logarithm of industrial value-added and the logarithm of electricity consumption, especially notable for high-income countries where the correlation further intensifies in the post-21st century. In conclusion, electricity consumption can serve as an effective indicator for evaluating economic conditions, with its relationship to economic growth and industrialization influenced by the income level of countries.

Beyond nearshoring: The political economy of Mexico's emerging electric vehicle industry

Nearshoring and global value chain reconfiguration trends have gained renewed relevance amid mounting disruptions in globalized production models. However, the precise dynamics behind shifts in the nascent electric vehicle (EV) industry value chain remain unclear. This study examines the factors that drive direct investment into Mexico's EV production ecosystem. It analyzes how these investment patterns reshape regional value chains while accelerating the transition toward electromobility. This analysis is based on an original 2019–2023 dataset of 48 Mexican EV production investment projects and three emblematic case studies: Tesla, Metalsa, and Sanhua. The findings suggest that the confluence of USMCA trade pact stipulations, US-China tensions, climate policy, and consumer incentives in the US, alongside specialized capabilities in Mexico, catalyze this nascent EV industry. In this fluctuating landscape, Mexico plays a dual role, both reducing US reliance on Chinese-dominated chains while attracting international firms interested in integrating into regional production networks. Thereby, the study delineates the specific drivers beyond nearshoring that have attracted EV production investment to Mexico. It, therefore, provides insights into the forces shaping Mexico's emergence as a strategic hub for regionalized EV manufacturing and outlines implications for future corporate strategies and public policies.

Energy and Environmental Aspects of the Sustainability of Clothing Production

The textile and clothing industries are very often lumped together when it comes to the environmental aspect such that the negative connotation of the textile industry from an environmental aspect is automatically transferred to the clothing industry. However, the two industries should be considered separately, particularly with regard to the machinery used and energy consumption in the production process. The energy consumption of electricity, compressed air, vacuum, steam, and other energy sources in the clothing industry is low compared to other related industries. Furthermore, no carcinogenic and allergenic waste is generated during the production of clothing, which has a low carbon footprint, i.e., it practically does not pollute the air, soil, and water. The waste produced during cutting is clean and unused and is immediately recycled. All of this contributes to the sustainability of the clothing industry from the energy and environmental aspects. This article describes the cutting and joining techniques used in the manufacture of clothing, from the energy and environmental aspects as well as aspects of the weaves, the necessary machine elements and mechanisms, and the energy used in all joining techniques, from which the above claims and facts can be seen.

Research on the Coordinated Development of Innovation and Talent Cultivation in the Electric Automation Industry in Xinjiang Based on the Silk Road Economic Belt

With the deepening of the "Belt and Road" initiative, the Silk Road Economic Belt has brought significant development opportunities for Xinjiang's electric automation industry. As a strategic node, Xinjiang possesses unique geographical advantages and policy support; however, its electric automation industry still faces numerous challenges in technological innovation and talent cultivation. This paper analyzes the innovation driving factors of Xinjiang's electric automation industry under the Silk Road Economic Belt, explores the compatibility between current talent cultivation models and industry demands, and proposes pathways to promote coordinated development of innovation and talent cultivation through industry-university-research collaboration and international cooperation. The study finds that, supported by policies and innovative technologies, Xinjiang's electric automation industry has broad development prospects, and seamless alignment between talent cultivation and industry demands will be key to future development.

Development History and Enlightenment of Electric Vehicles Based on Tesla's Financial Perspective

Facing the continually intensifying global energy crisis and environmental pollution challenges, electric vehicles, as an important representative of green transportation, are gradually becoming an important direction for the transformation and upgrading of the automotive industry. As a pioneering figure within the electric vehicle industry, Tesla's development history and financial performance are of great significance for understanding the current situation and future of the entire industry. This article first outlines the history of the development of electric vehicles and Tesla. Then, based on the current development status of Tesla at that time, Tesla's financial indicators were analyzed. Finally, four suggestions are proposed: firstly, electric vehicle companies should continue to increase investment in technology research and development, improve product performance and market competitiveness; Secondly, focus on cost control and operational efficiency improvement to achieve economies of scale; Thirdly, actively explore domestic and international markets, expand sales channels and market share; Fourth, pay attention to the development trends in cutting-edge fields such as energy storage and autonomous driving, and seize the market opportunities in the future; Finally, strengthen brand building and marketing to enhance brand influence and consumer recognition.

Urban-scale power decarbonization using a modified power purchase agreements framework based on Markowitz mean-variance theory

Urban power decarbonization is essential in the fight against climate change, yet current research often neglects the financial risks faced by investors and the shifting demands of consumers in liberalized electricity markets. This study addresses these gaps by proposing a modified Markowitz Mean-Variance Portfolio (MVP) theory, integrated with the Low Emissions Analysis Platform (LEAP), and a deep learning model. On this basis, an urban energy transition framework centered on Power Purchase Agreements (PPAs) is proposed and developed. The framework is validated considering a case study in Kitakyushu, Japan, highlighting its potential in accelerating power sector decarbonization and achieving net-zero emissions by 2038. Additionally, the internal rate of return (IRR) remains stable between 14.5 % and 19.6 % across seven other cities. While the framework reduces long-term cash flow volatility, its effectiveness hinges on industrial electrification efficiency and regional energy self-sufficiency. The findings indicate that relying solely on renewable energy for low-carbon transitions is unrealistic. Furthermore, green hydrogen could emerge as a viable alternative to fossil fuels, potentially replacing batteries for long-term energy storage. Future research should explore cross-regional energy trade and establish legal frameworks for long-term energy transactions to bolster urban energy transition resilience across diverse geographic and economic contexts.

Analysis of Reliability for the Electrical Industries Company in Diyala using Modified Extension Weibull Distribution (An Application and Simulation study)

In this paper defining modified extension Weibull distribution, reliability function and hazerd function, we explain the maximum likelihood method under type one censoring sample. The censored samples play an important role in reliability analysis .In this paper we estimate and derived modified extension Weibull distribution whith three parameters under the censored samples type one by maximum likelihood estimation method depend on Newton-Raphson method. Then we applied simulation procedure using Monte-Carlo technique to estimate reliability function under different samples sizes and various initial values for the parameters for all estimated parameters of modified extension Weibull model by used MATLAB program. Finally we find the probability density function f(t), reliability function R(t),and hazard function h(t) for real data which get it from (Diyala province Company) is one of the formations of the Ministry of Industry and Minerals. Paper type: Research paper