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ZrB2 particle-reinforced AA7475 is a potential material for high-performance aeronautical engine blades because of its exceptional characteristics. The machinability of ZrB2/AA7475 metal matrix composites (MMC) is still a challenge because of the influence of ZrB2 particles. The impact of ZrB2 particulates on the machined parameters of ZrB2/aluminum matrix composites was explored experimentally in order to meet the needs of industry. Additionally, the best machining circumstances for this type of material matrix composites were studied in this research. A surface roughness (Ra) and metal removal rate (MRR) multiobjective optimization model was built, and a set of ideal parameter combinations was produced, with the surface roughness of ZrB2/AA7475 material matrix composites being lower than that of the nonreinforced alloys at the same cutting speed. [ABSTRACT FROM AUTHOR]

In this study, an AA7075 composite material with a varying weight percentage of silver and zirconium oxide reinforcement is examined in terms of its properties. Reinforcement quantities ranging from 0, 4, 8, 12, and 16 wt % were combined with the matrix using the in-situ technique of stir casting in the field. Tensile, mechanical hardness, and compressive strength were assessed in accordance with the standard. The X-ray diffraction and EDS were utilized to analyze AA7075 composites for the distribution and dispersion of particles. Different input parameters such as load (N), composites (wt %), and velocity (m/s) were used to evaluate wear resistance when using the pin-on-disc method. The wear rate (mm/m) was estimated for every weight percent of reinforced mass loss (g). Optimization methods such as Taguchi and analysis of variance were used to determine the AA7075's optimal processing parameters and composites that were the most significant. In order to identify the best genetic algorithm results, theoretical and experimental results were evaluated. [ABSTRACT FROM AUTHOR]

Insulating links are used to protect crane workers from accidentally contacting a transmission line. This paper presents the results of laboratory tests that determined the leakage current produced by sudden energization of polluted and wet insulating links. Two different manufacturers' links were tested at heavy and light pollution. The results show that the short duration transient or the root mean square (rms) leakage current is the measure of the ability of the links to provide protection. The leakage current can endanger the life of a crane worker before flashover occurs. The dependence of leakage current on test voltage under heavy and light pollution conditions was determined. Obtained leakage current data was compared with IEC 479-1 standard, that provides health effect data. The link protects the crane worker, if the line voltage is less than the maximum voltage determined from the correlated test results. The results were used to assess the efficiency of worker protection. Index Terms--Crane, electrocution, flashover, fatal accident, fog chamber, insulator, leakage current, power line, pollution, wetting.

All Dielectric Self Supporting (ADSS) fiber-optic cable jackets aer subject to dry band arcing associated with wet, conductive pollution, quantified electrically by ohms per meter, in conjunction with the location of the ADSS in relation to conductor placement on high-voltage transmission structures. In order to determine the suitability of a particular ADSS jacket material to resist dry band arc damage in various levels of pollution as well as for incipient voltage levels, an electrical test, employing equivalency to the dry band environment, has been proposed. A set of desirable hypothetical results are briefly discussed. The tests results described herein, for common polyethylene jacketed ADSS, support the nature of the hypothetical data. It is noted that this is not 'pass-fail' but a test that stablishes performance criteria. It has been submitted to the fiber optics standards working group. Index Terms--ADSS, aging, dry-band arcing, failure, fiber-optic cable, transmission line.

Deployment of fast‐charging stations for electrified transportation is currently one of the limiting factors in the commercial deployment and paradigm shift of the mobility sector. The rapidly increasing demand for electric vehicles (EVs) brings the demand for accessible and affordable charging infrastructure. The commercial EV fast‐charging load profile depends on the customer's EV charging demand, which poses challenges in determining the overall peak profile. This could lead to unprecedented challenges of harmonic disruption, system losses, supply‐demand balance, and grid reliability. The emergence of bidirectional charging infrastructure and the realization of controlled charging strategies in coordination with the cumulative contribution of renewable energy resources could potentially reduce the challenge of utility grid stability and reliability shortly. Furthermore, the parallel development of smart grid technologies has promising features. This paper aims to provide a comprehensive state‐of‐the‐art review of the major challenges of the utility grid in the swift adoption of fast charging infrastructures available in the open literature, as well as the sustainable implications and potential safety measures. Furthermore, the potential solutions and best practices for the synchronization of electrified transportation with the emerging ecosystem of renewable power systems and various controlled charging strategies are reviewed in detail. [ABSTRACT FROM AUTHOR]

Asphaltene precipitation and its subsequent deposition always remain a major concern for Oil industry. Formulation of a comprehensive and reliable risk management system for asphaltene prone wells and fields is a challenging task because of the influence of diverse factors. In this study, a decision support system is developed for the asphaltene risk assessment in wells and fields. Since, the data present in the literature is scarce and not consistent, therefore, a hypothetical data of fields and their wells was considered to conduct the study comprehensively. Three hypothetical fields namely; Field A, Field B and Field C were assumed and in each field ten wells were taken into consideration. A decision support system for assessing the risk of asphaltene prone wells was developed using one of the popular and powerful multi-criteria decision making technique i.e. Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (Fuzzy TOPSIS) coupled with Analytic Hierarchy process (AHP). The risk of wells was evaluated using three criteria namely; Detection, Severity and Controls. These criteria were further sub-divided into sub-criteria and their data was assumed. The assumed data was transformed into Triangular fuzzy numbers for calculations. According to the final outcomes, Field A was proved be the most risky field followed by Field B and in the last comes Field C. The outcomes were further validated by other method namely; Fuzzy Complex Proportional Assessment (COPRAS) and all TOPSIS outcomes were found in good relationship with Fuzzy COPRAS. The proposed methodology proposed in this study will be landmark in risk ranking of asphaltene prone wells and fields. [ABSTRACT FROM AUTHOR]