Industrial Explosions Research Articles

ამონიუმის ნიტრატის ბაზაზე წყალგამძლე ფეთქებადი ნარევის დამზადების შესაძლებლობის კვლევა

The creation of a safe technology for the production and use of industrial explosives is relevant both from a scientific and practical point of view. In order to meet these requirements, it is necessary to carry out studies for the correct and qualified selection of components of new explosives. The main purpose of the research was to test the explosive ability of the mixture of ammonium nitrate, gunpowder and paraffin.

Experimental and numerical study on the combustion characteristic of H2 and CH4 in oxygen-enriched environment

Oxygen-enriched combustion could rise the hazard of unexpected fire and explosion in industry. This study experimentally and numerically analyzed the combustion characteristic of H2 and CH4 in oxygen-enriched environment (Ω = 21%–100 %). For H2 at Φ = 1 and Ω = 100 %, the maximum explosion pressure and maximum pressure rise rate were about 3.89 MPa and 1259.2 MPa/s. For CH4, these values were about 4.77 MPa and 6279.4 MPa/s. The upper flammability limit of gases increased sharply with the increase of Ω, however, the lower flammability limit was almost unchanged. Besides, the increasing of Ω also could result in the rising of aforementioned combustion parameters. The sensitivity of burning velocity was also analyzed. For H2 flame at Φ = 0.8, R35 could slow down burning velocity when Ω = 21 %, but promote it when Ω = 30 % and 70 %. For CH4 flame at Φ = 1.4, the sensitivity coefficients of R11, R35, R43 and R84 changed from negative to positive when Ω increased from 21 % - 30 %–70 % - 100 %. It was concluded that the oxygen concentration not only affect the inert gas but also affect the reaction kinetic of flame.

Variations in Temperature and Pressure in the “Reservoir–Well” System Triggered by Blasting Recovery of Iron Ore at the Kursk Magnetic Anomaly

This paper presents the results of precise measurements of temperature and pore pressure in the “reservoir–well” system during the development of iron ore deposits of the Kursk Magnetic Anomaly (KMA) via blasting. For the observation period from October 2021 to June 2024, variations in compressibility, permeability and temperature in the upper Albian-Cenomanian confined aquifer, which is used for district water supply, were determined. The general trend in a decrease in water temperature was traced (from 12 °C to 11.4 °C). It was accompanied by an increase in the hydrostatic head (from 3.7 m to 7.4 m). Water temperature in the upper aquifer was measured for 9 industrial explosions in the mine and for 30 explosions in the quarry. For one explosion in the mine and five explosions in the quarry the coseismic changes in water temperature with amplitudes of 0.06–0.09 °C were established, while changes in pore pressure in the “reservoir–well” system were 0.4–2.2 kPa. Local changes in the permeability of the reservoir in the vicinity of the well (the skin effect) are considered to be the main factor that controls the coseismic response of temperature during industrial explosions. As the reservoir permeability increases, the water temperature in the “reservoir–well” system can decrease and vice versa. The same pattern was observed according to regime measurements performed in 2022–2023. The recorded coseismic responses of water temperature in the upper aquifer in the high-frequency range are similar to the effects observed during propagation of seismic waves originated from earthquakes in the low-frequency range at different sites all over the world for the seismic energy density of 0.05–0.45 J/m3. The observed variations in aquifer temperature in the “reservoir–well” system under episodic dynamic impacts are of particular interest from the point of view of activating hydrogeochemical processes that accompany the development of iron ore deposits.

The Korean infrasound catalogue (1999–2022)

SUMMARY The Korean infrasound catalogue (KIC) covers 1999–2022 and characterizes a rich variety of source types as well as document the effects of the time-varying atmosphere on event detection and location across the Korean Peninsula. The KIC is produced using data from six South Korean infrasound arrays that are cooperatively operated by Southern Methodist University and Korea Institute of Geoscience and Mineral Resources. Signal detection relies on an Adaptive F-Detector that estimates arrival time and backazimuth, which draws a distinction between detection and parameter estimation. Detections and associated parameters are input into a Bayesian Infrasonic Source Location procedure. The resulting KIC contains 38 455 infrasound events and documents repeated events from several locations. The catalogue includes many anthropogenic sources such as an industrial chemical explosion, explosions at limestone open-pit mines and quarries, North Korean underground nuclear explosions and other atmospheric or underwater events of unknown origin. Most events in the KIC occur during working hours and days, suggesting a dominance of human-related signals. The expansion of infrasound arrays over the years in South Korea and the inclusion of data from the International Monitoring System infrasound stations in Russia and Japan increase the number of infrasound events and improve location accuracy because of the increase in azimuthal station coverage. A review of selected events and associated signals at multiple arrays provides a location quality assessment. We quantify infrasound events that have accompanying seismic arrivals (seismoacoustic events) to support the source type assessment. Ray tracing using the Ground-to-Space (G2S) atmospheric model generally predicts observed arrivals when strong stratospheric winds exist, although the predicted arrival times have significant discrepancies. In some cases, local atmospheric data better captures small-scale variations in the wind velocity of the shallow atmosphere and can improve arrival time predictions that are not well matched by the G2S model. The analysis of selected events also illustrates the importance of topographic effects on tropospheric infrasound propagation at local distances. The KIC is the first infrasound catalogue compiled in this region, and it can serve as a valuable data set in developing more robust infrasound source localization and characterization methods.

ПРОГНОЗИРОВАНИЕ ВРЕМЕНИ ТУШЕНИЯ ПОЖАРА КОМПОНЕНТОВ ПРОМЫШЛЕННЫХ ВЗРЫВЧАТЫХ ВЕЩЕСТВ ВОДНОГЕЛЕВЫМИ ОГНЕТУШАЩИМИ СОСТАВАМИ

. Using methods of regression analysis and neural network research, it was possible to preserve the physical properties of water-gene compositions and ensure a minimum time for extinguishing a fire in a model fire with components of industrial explosives. Neural network modeling was performed in the STATISTICA Application 10 program. The maximum discrepancy between the results of the neural network model and experimental data is 0,18 %. Regression analysis was performed in the REGRAN program. The maximum error in target results was 4,4 %. Analysis of experimental data and mathematical modeling results showed that the most significant properties of fire extinguishing agents based on hydrogels, providing minimal extinguishing time, are density and surface tension. The concentrations of the gelling agent were determined at which the water-gel composition acquires optimal physical properties for extinguishing a model outbreak of a component of an industrial explosive. Recommendations have been developed for creating hydrogel formulations with desired properties.

Research on the Explosion Reaction Mechanism of Volatile Gases from Coal Dust Pyrolysis

ABSTRACT It is imperative to have an in-depth understanding of the coal dust explosion reaction mechanism to control and prevent coal explosions in the coal mining industry and promote the safe and efficient utilization of coal resources. The volatile gases are the primary components involved in coal dust explosion reactions. Therefore, studying the explosion reaction mechanism of volatile gases in coal dust is of great significance for revealing the process of coal dust explosion. This study conducted a thermogravimetric mass spectrometry (TG-MS) experiment to analyze the mass loss characteristics and volatile gas components during coal dust pyrolysis. Experimental results showed that the pyrolysis process of coal dust is mainly divided into three stages. The main components of volatile gases escaping from coal dust pyrolysis are CO, CH4, CO2, and H2O. Then, the Chemkin-Pro numerical simulation method was also introduced to analyze the mixture explosion reaction process of coal dust pyrolysis volatile gas. The sensitivity analysis and the rates of production analysis (ROP) of reactants, products, and intermediate products during the volatile gas explosion reaction were conducted. Furthermore, 14 components and 27 key elementary reactions involved in the reaction process were simplified and extracted. A simplified reaction pathway for the mixture explosion of coal dust pyrolysis volatile gas was constructed. This study introduces a novel approach to investigate the mechanism of homogeneous combustion of volatile gases in coal dust explosion reactions.

Optimal restoration of power infrastructure following a disaster with environmental hazards

After a disaster, the power grid helps support infrastructure systems that are essential to the recovery effort in addition to the critical services it provides every day. This paper provides an approach for optimal power grid restoration in disaster contexts with environmental hazards. These hazards, such as unstable structures, smoke, chemical hazards, and abnormal radioactivity, may pose acute and accumulating risks to repair workers and impede the restoration process. We therefore formulate a mixed-integer linear program (MILP) that generates an optimal restoration plan with constraints imposed by acute and accumulating environmental hazards. We also develop a heuristic inspired by trends that we observe in optimal restoration strategies, and we compare its performance to that of an optimal restoration strategy. For our case study, we model a stylized disaster that approximates the patterns of a number of disasters including earthquakes, fires, industrial facility explosions, or nuclear reactor incidents. We analyze the performance of the heuristic and optimal restoration strategies on a modified IEEE 123-bus test network. We find that the optimal restoration strategy is able to restore power service more quickly than the heuristic strategy while also exposing repair workers to less acute and cumulative environmental hazards. We also find that as disaster severity increases, the performance difference between the heuristic and optimal restoration strategies grows. Finally, our results show that both the optimal and heuristic algorithms can be useful tools for identifying vulnerable regions of a power grid.

Разработка технологии регенерации некондиционных эмульсионных полуфабрикатов промышленных взрывчатых веществ

The research is aimed at improving the methods to produce and apply in the mining industry energy-intensive emulsions based on concentrated solutions of inorganic salts (nitrates), which are second-class dispersions of the "Water-inOil" type. Every year when mining useful minerals, surface and underground operations consume about 1.15 million tonnes of industrial emulsion explosives (IEE), the largest share of which are the so-called caseless pouring types. When the emulsion matrix is produced, it is possible that off-grade emulsion, i.e. emulsion that does not meet the requirements of the relevant normative and technical documentation, may also be generated. Tentatively, the volume of such production waste may reach 57.5 thousand tonnes per year. Therefore, the issues of reclaiming the off-grade emulsion semi-finished products of industrial explosives into initial products for their reuse is not only of scientific and technical interest, but also of great economic and ecological importance. The objective of this study, performed by employees of AZOTTECH LLC in cooperation with the D. I. Mendeleev Russian University of Chemical Technology, is the development of a method and industrial technology to recycle emulsion production wastes for re-use of the reclaimed materials in production. A chemical method of controlled emulsion destruction was obtained based on the results of the performed research activities. The most effective demulsifier available in the Russian market was selected, by means of which it was possible to separate the emulsion into immiscible phases containing the initial components. Samples of the stable emulsion matrix that match the requirements of the normative documents in terms of quality, were obtained using the oil phase reclaimed materials and the oxidant solution.

Ag2S-Decorated One-Dimensional CdS Nanorods for Rapid Detection and Effective Discrimination of n-Butanol.

N-butanol (C4H9OH) is a volatile organic compound (VOC) that is susceptible to industrial explosions. It has become imperative to develop n-butanol sensors with high selectivity and fast response and recovery kinetics. CdS/Ag2S composite nanomaterials were designed and prepared by the solvothermal method. The incorporation of Ag2S engendered a notable augmentation in specific surface area and a consequential narrow band gap. The CdS/Ag2S-based sensor with 3% molar ratio of Ag2S, operating at 200 °C, demonstrated a remarkably elevated response (S = Ra/Rg = 24.5) when exposed to 100 ppm n-butanol, surpassing the pristine CdS by a factor of approximately four. Furthermore, this sensor exhibited notably shortened response and recovery times, at a mere 4 s and 1 s, respectively. These improvements were ascribed to the one-dimensional single-crystal nanorod structure of CdS, which provided an effective path for expedited electron transport along its axial dimension. Additionally, the electron and chemical sensitization effects resulting from the modification with precious metal sulfides Ag2S were the primary reasons for enhancing the sensor response. This work can contribute to mitigating the safety risks associated with the use of n-butanol in industrial processes.

The poor reliability of thermal conductivity data in the aerogel literature: a call to action!

Aerogels are an exciting class of materials with record-breaking properties including, in some cases, ultra-low thermal conductivities. The last decade has seen a veritable explosion in aerogel research and industry R&D, leading to the synthesis of aerogels from a variety of materials for a rapidly expanding range of applications. However, both from the research side, and certainly from a market perspective, thermal insulation remains the dominant application. Unfortunately, continued progress in this area suffers from the proliferation of incorrect thermal conductivity data, with values that often are far outside of what is possible within the physical limitations. This loss of credibility in reported thermal conductivity data poses difficulties in comparing the thermal performance of different types of aerogels and other thermal superinsulators, may set back further scientific progress, and hinder technology transfer to industry and society. Here, we have compiled 519 thermal conductivity results from 87 research papers, encompassing silica, other inorganic, biopolymer and synthetic polymer aerogels, to highlight the extent of the problem. Thermal conductivity data outside of what is physically possible are common, even in high profile journals and from the world’s best universities and institutes. Both steady-state and transient methods can provide accurate thermal conductivity data with proper instrumentation, suitable sample materials and experienced users, but nearly all implausible data derive from transient methods, and hot disk measurements in particular, indicating that under unfavorable circumstances, and in the context of aerogel research, transient methods are more prone to return unreliable data. Guidelines on how to acquire reliable thermal conductivity data are provided. This paper is a call to authors, reviewers, editors and readers to exercise caution and skepticism when they report, publish or interpret thermal conductivity data.Graphical

Religious coping and levels of posttraumatic stress disorder symptomatology after the Beirut explosion.

Religious coping has implications for the development of psychopathology in the aftermath of traumatic events. This study explored the relationship between religious coping (positive and negative) and posttraumatic stress disorder (PTSD) symptomology among survivors of a large industrial explosion that devastated parts of Beirut in August of 2020. Three months after the disaster, 996 residents of Beirut and Lebanon completed validated measures of religious coping (RCOPE) and PTSD symptomatology (Impact of Events Scale-Revised) in either English or Arabic. The majority of participants were young adults aged between 18 and 25 years. Results indicated that higher levels of negative religious coping were a significant predictor of higher levels of PTSD symptomatology and were associated with a two-fold risk of meeting the criteria for probable PTSD. Other significant predictors included female gender, being a resident of Beirut at the time of the explosion, having personally sustained an injury, or knowing a person injured in the explosion. Effects sizes ranged from .34 to .68. Higher scores on measures of negative religious coping were associated with higher levels of PTSD symptomatology. However, negative religious coping may be better construed as a set of religious-based appraisals of event causality and may represent a form of peritraumatic appraisal in the wake of traumatic events. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Анализ локальной сейсмичности западной части полуострова Таймыр по данным сейсмической станции «Колба»

In recent years, active development of coal deposits and works related to the creation of appropriate infrastructure (ports, roads, etc.) have been carried out in the western part of the Taimyr peninsula. The main objects are the port Buhta Sever (oil loading terminal), the Syradasay coal deposit and the port Yenisei. Work is also underway in the Lembersk coal mine and the associated port Dixon. The single seismic station “KOLBA” of the Arkhangelsk seismic network installed in October 2020 near Dixson regularly registers local seismic events, the natural nature of which is questioned. From October 2020 to February 2023, 150 seismic events with a magnitude range of ML from 0.4 to 2.4 were registered at distances up to 200 km from the seismic station. The purpose of our research is to give a reasonable answer on the basis of selected criteria about the nature of registered local events: earthquakes or man-made events. Cleaning seismic catalogs from man-made events has always been an urgent task, especially after the installation of each new seismic station in a little-studied area of the Arctic. The difficulty in determining the event nature lies in the absence of a regional hodograph and any reference data such as samples of waveforms, reliable information about the place, time and methods of industrial explosions, the absence of these events on the records of other seismic stations. In this regard, we have defined a set of criteria for determining the nature of events, which are reduced to the consideration of indirect signs. These are the location of an event near an industrial facility, the analysis of spectral-time diagrams and waveforms of seismic events, the analysis of the amplitudes ratio of volume and / waves, the daily distribution of seismic events and the magnitude range of recorded events. Despite the fact that individually each criteria is not a direct proof of the man-made events nature, their totality can be taken as a decision to exclude the event from the seismic catalog. In the process of determining the epicenters of events, we identified several groups related to various industrial facilities. The daily distribution diagram shows that local seismic events were recorded in the daytime with peak values at 13–14 hours and at 19–20 hours, which indicates the technogenic nature of events. The / ratio is < 3.0 for all events, which most likely also indicates a technogenic nature, as with the presence of “bands” in the high frequency range on the spectral-time diagrams. The developed set of criteria for the identification of technogenic events allowed us to clean up the seismic catalog and attribute all 150 events to the manifestation of technogenic seismicity. The most effective criteria are the analysis of spectral-time diagrams, the / ratio and the daily distribution of events. In some cases, by the waveform types, it is also possible to determine whether an event belongs to a certain industrial facility (in particular, to the port of Buhta Sever).

Application of steam explosion for preparing high value-added antioxidants from eggshell membrane waste

Eggshell membrane (ESM) is primary considered as food industry discard due to its highly insoluble structure. In this study, steam explosion was exploited to improve the utilization of ESM and convert it into high-valued antioxidants. An increase in dissolution rate of ESM to 66.67%–219.05% was detected, along with decrease in disulfide bonds and cysteine/cystine level induced by the steam explosion. After steam explosion pretreatment, DPPH radical scavenging rate and total antioxidant capacity of ESM hydrolysate (ESMH) were maximally increased by 87.48% and 103.09%, respectively, indicating an overwhelming advantage than unpretreated hydrolysate. Furthermore, ESMH exerted strong synergistic antioxidant activity with gallic acid (GA). Importantly, ESMH-GA mixture protected UVB-injured L929 cells by reducing reactive oxygen species and could be potentially used as antioxidant ingredients in cosmeceutical foods. This finding provided an efficient recycling strategy and direction for ESM utilization. Industrial relevanceSteam explosion is a new green and efficient processing technology. ESM with low solubility is an underutilized byproduct. This study applied steam explosion to ESM and significantly improved antioxidant activity of its hydrolysates (ESMH). ESMH protected UVB-injured L929 cells by reducing reactive oxygen species and could be potentially used as antioxidant ingredients in cosmeceutical foods. Steam explosion has the potential to be used to high-value utilization of ESM.

Seismic events in the Sverdlovsk region for the period 1788–2022

Introduction. Sverdlovsk region is a major industrial center. There are mining enterprises, chemical plants, reservoirs, and high-capacity power plants. These objects are located close to large settlements. Currently, about 400 seismic events are recorded annually in the region. To ensure the seismic safety of objects of increased responsibility and especially important construction objects, it is necessary to carry out studies on detailed seismic zoning of the territory under consideration. The results of this work are the first stage of these studies. Research theory. For the first time, a consolidated unified catalog of seismic events that occurred on the territory of the Sverdlovsk region was compiled. Historical and instrumental catalog data for the period 1788–2022 and data from instrumental records of local seismic events recorded by temporary, mobile stations of the Institute of Geophysics Ural Branch of the Russian Academy of Sciences (IGF UB RAS) served as the basis. served as the basis. Results. Most of the recorded events are technogenic. Mostly these are industrial explosions and rock burst. These seismic events are recorded in the area of the following cities: Asbest, Ekaterinburg, Revda, Nizhny Tagil, Kushva, Kachkanar, Karpinsk, Severouralsk. Tectonic earthquakes have also been repeatedly recorded in the Sverdlovsk region. Most of them are not felt by people. Earthquakes with a magnitude greater than 4.0 have macroseismic manifestations. The strongest earthquake is 08.17.1914 (MS= 5.0, epicenter coordinates 57.09° N, 59.8° E). The intensity of the earthquake at the epicenter was 6.0 on the MSK-64 scale. The results of this work will serve as a basis for further determination of the parameters of the seismic regime of the study area.

Высокопредохранительные промышленные взрывчатые вещества

Высокопредохранительные промышленные взрывчатые вещества

Electrostatic hazards: Identifying the early warning signs to reduce explosion risk1

AbstractElectrostatic discharges are known to cause many industrial fires and explosions each year. Yet it is quite usual to find that before an incident operatives have encountered signs that static electricity is present. These signs—the ‘early warning signs’—had their significance been appreciated, could have prevented many industrial fires or explosions. In this paper, we bring together evidence obtained from investigation of electrostatic incidents and group them by class of ‘manifestation’. We discuss how these classes/manifestations should be interpreted by reference to discharge types and their associated energy ranges. Finally, we discuss how we can go about assessing whether each static manifestation could lead to an electrostatically initiated fire or explosion as well as how they can be eliminated. The early warning signs of static electricity can be as apparently innocuous as dust patterns on plastic or a prickling feeling on the arms. They can also include unexpected corrosion in a glass‐lined vessel or even a pinhole leak from an insulating pipe; these in addition to the well‐recognized sparks and cracking sounds that present themselves as the more obvious face of hazardous static electricity. Waiting for an ‘early warning sign’ can never be a substitute for detailed hazard assessment work that focuses on the identification and elimination of all potential ignition sources. But it is worth noting that electrostatic sources of ignition are often considered to be more complicated to identify and eliminate than others, and consequently, they frequently elude the formal HAZOP or hazard study process. With electrostatic hazards, this makes vigilance by operatives and others that much more important, especially since electrostatic effects can easily be spotted and eliminated—if you know what to look for. A new proposed ‘classification’ that will be discussed in this paper can aid the understanding of hazardous static electricity and thus help reduce the risk of fire and explosion in industry.

RETRACTED ARTICLE: A Computational Model for Predicting Customer Behaviors Using Transformer Adapted with Tabular Features

The recent decade has seen an explosion in the e-commerce industry with the support of modern technologies (e.g., artificial intelligence) to maximize conversion rates. Many recommendation systems, therefore, have been developed to predict the customer behaviors to take appropriate actions. Customization of promotions or items for distinct groups of online customers considerably contributes to enhancing the sales. The purchasing records are essential information that can be used to investigate the customer behaviors. These kinds of information, however, are mainly expressed in tubular forms. Several computational models were developed using conventional machine learning algorithms to deal with that data type. However, these approaches struggle with large-volume and high-dimensional data, feature engineering, and high computational cost. In our study, we propose a deep learning model based on the Feature Tokenizer Transformer architecture to predict the customer purchasing intention. This novel architecture is a simplified adaptive version of the Transformer tabular data. The results demonstrated that our model showed better performance compared to conventional machine learning models. Furthermore, the model’s stability was also confirmed by the results of multiple repeated experiments.

Computational modelling and statistical evaluation of thermal runaway safety regime response on lithium-ion battery with different cathodic chemistry and varying ambient condition

As one of the most promising energy storage mediums, Lithium-ion batteries (LIBs) have attracted extensive research interest. A major challenge associated with LIB application is thermal runaway, which can be triggered under abused conditions and impose direct threats to life and properties. Thermal runaway is a major source of fire and explosions in the battery energy storage industry. In this paper, the thermal runaway numerical model is used to explain the evolution of thermal runaway trigger point over different cathodic chemistry under the influence of varying ambient temperature. The test is performed using nail penetration assisted thermal abuse method. The model is based on the conservation of energy Equation, with the empirical corelation of the thermal abuse equations which is used to simulate the source term. Additionally, experimental literature is used to verify the simulation results extensively. The simulation results are utilized to monitor internal short circuit circumstances that lead to the thermal runaway trigger point, and a comparison scaled map is created between various chemistry to show which chemistry triggers prematurely between LiNiMnCoO2 (NMC), LiFePO4 (LFP), and LiCoO2 (LCO). The existing critical uncertainty, such as nail diameter, heating profile, variation in operating ambient temperature, battery jelly roll thickness and effect of convective parameters is investigated in detailed and decision tree is prepared using ANOVA statistical method.

Влияние параметров промежуточного детонатора на скорость детонации смесевых взрывчатых веществ

Drilling and blasting operations are considered in the mining industry to be the most economical way to prepare the rock mass for extraction. Blasting is performed at various mining and geological conditions of different mining companies, thus the characteristics of drilling and blasting operations can have a significant impact on the detonation rate of the borehole charge, which is one of its most critical characteristics that affects the blast quality. Detonation velocity depends on many factors, the main of which include the quality of explosives preparation and their components, the density, diameter and height of the borehole charge, the booster parameters and its location within the borehole charge. The paper presents the results of measuring the detonation velocity of industrial explosives and records the impact of the booster weight on the detonation velocity.

Suppression method of industrial Al alloy powder explosion in dry and humid environment: A low-cost intrinsic safety technology

During the production and processing of Al alloy, a large number of small particle size powders will be produced. If the concentration of these Al alloy dust is too high under dry conditions, it will lead to dry powder explosion, and if hydrogen is produced in contact with water under wet conditions, it will lead to hydrogen explosion. This work is intended to develop a simple, cost effective technology that inerts waste Al alloy dust and minimizes its explosion hazards in different environments. Dihydrogen phosphates (KH2PO4, NH4H2PO4, Ca(H2PO4)2) are used to test the explosion flame propagation, explosion pressure, and hydrogen evolution, of waste Al alloy dust. The results show that dihydrogen phosphate can significantly reduce the flame propagation distance, speed, explosion pressure and hydrogen evolution performance of Al alloy dust, and inhibit the explosion of Al alloy dust in dry and humid environment to varying degrees. In different experiments, Ca(H2PO4)2 has the best inerting effect, low cost and simple operation, which realizes the intrinsic safety of metal dust processing process. The phosphating film on the surface of Al alloy particles blocks the generation of Al(OH)3 and retains the metal body to the greatest extent, which provides a possibility for the recycling of waste metal dust.