The present study introduces a screw-pressing charging method to tackle deficiencies in automation and charge uniformity during the melt-casting of polymer-based energetic materials.To ensure the safety of the experim...The present study introduces a screw-pressing charging method to tackle deficiencies in automation and charge uniformity during the melt-casting of polymer-based energetic materials.To ensure the safety of the experiments,this study used inert materials with similar physical properties to partially substitute for the actual energetic components in the preparation of simulant materials.By thoroughly analyzing slurry physical properties,a simulation framework and an extensive performance evaluation method were developed.Such tools guide the design of the structure and configuration of process parameters.Results demonstrate that employing the Pin element significantly enhances radial mixing within the screw,minimizes temperature variations in the slurry,and improves both efficiency and safety in the mixing process.Further,adjustments such as widening the cone angle of the barrel,modifying the solid content of the slurry,and varying the speed of the screw can optimize the mechanical and thermal coupling in the flow field.These adjustments promote higher-quality slurry and create a safer production environment for the extrusion process.展开更多
The in-depth exploration of the multi-dimensional disaster-causing mechanisms associated with battery thermal runaway facilitates the whole-process safety evaluation.However,the still insufficient understanding of the...The in-depth exploration of the multi-dimensional disaster-causing mechanisms associated with battery thermal runaway facilitates the whole-process safety evaluation.However,the still insufficient understanding of the thermal failure process and the limited dimensionality of the existing evaluation indexes subsequently lead to ineffective prevention and control and finally result in a high frequency of severe damage and unforeseen casualties.To address this issue,a general framework for evaluating the whole-process safety by integrating thermal and gas perspectives,involving dozens of multidimensional characteristic parameters obtained by experimental measurements and theoretical calculations,is proposed.Based on this framework,comparing the initial thermal hazards of lithium iron phosphate and nickel-cobalt-manganese lithium-ion batteries and quantifying the derived hazards of singlephase/multi-phase emissions considering battery venting gases and electrolyte solvent vapors,the significant hidden hazards of emissions dominated by reductive components that can lead to higher derived explosion and combustion risks within the external environment are identified,effectively updating the previous paradigm for evaluating cell-level thermal safety.For single-phase emissions with dominant reductive components,higher risks of low lower explosion limit and high laminar burning velocity are demonstrated;after considering typical solvent vapor types(dimethyl carbonate/ethyl methyl carbonate/diethyl carbonate)and specific mixing ratios,highly reductive multi-phase emissions still exhibit higher risks.The proposed framework reveals the underlying effect of the reductive gas-phase emissions in accelerating and aggravating system-level thermal hazards,providing important guidance and inspiration for the whole-process safety control based on gas-phase atmosphere regulation as well as for the overall safety evaluation of emerging battery material chemistries.展开更多
The integration of battery energy storage systems(BESS)throughout our energy chain poses concerns regarding safety,especially since batteries have high energy density and numerous BESS failure events have occurred.Wid...The integration of battery energy storage systems(BESS)throughout our energy chain poses concerns regarding safety,especially since batteries have high energy density and numerous BESS failure events have occurred.Wider spread adoption will only increase the prevalence of these failure events unless there is a step change in the management and design of BESS.To understand the causes of failure,the main challenges of BESS safety are summarised.BESS consequences and failure events are discussed,including specific focus on the chain of events causing thermal runaway,and a case study of a BESS explosion in Surprise Arizona is analysed.Based on the technology and past events,a paradigm shift is required to improve BESS safety.In this review,a holistic approach is proposed.This combines currently adopted approaches including battery cell testing,lumped cell mathematical modelling,and calorimetry,alongside additional measures taken to ensure BESS safety including the requirement for computational fluid dynamics and kinetic modelling,assessment of installation level testing of the full BESS system and not simply a single cell battery test,hazard and layers of protection analysis,gas chromatography,and composition testing.The holistic approach proposed in this study aims to address challenges of BESS safety and form the basis of a paradigm shift in the safety management and design of these systems.展开更多
A cross-sectional exploratory assessment of the needs and challenges of petroleum industry in Nigeria, in assessing process safety cumulative risk for major accidents prevention was investigated. A purposive cum rando...A cross-sectional exploratory assessment of the needs and challenges of petroleum industry in Nigeria, in assessing process safety cumulative risk for major accidents prevention was investigated. A purposive cum random sampling technique was used in this study, among selected petroleum companies operating in Nigeria. Survey questionnaires were received from 216 participants made up of asset integrity engineers/operators, process safety experts, production safety professionals in the petroleum industry in Nigeria. Data analyses were carried out to cover descriptive and inferential statistics. Overall, the study recognized that assessing process safety cumulative risk is not a simple process due largely to the changing nature of safety critical barriers degradation data. The study result showed four main challenges faced by petroleum industries in Nigeria, in assessing process safety cumulative risk: 1) the study showed that 94% of the respondents agreed that there is limited accessibility to safety critical barriers degradation data (little automation). Also 2) 94% of the respondents accounted for poor knowledge of process safety cumulative risk is and agreed it to be of low rating. The result further showed that 3) 90% of the respondents demonstrated that there are no guidance and procedures in assessing process safety cumulative risk and finally 4) 92% of the respondents reported that there is no real-time risk visualization model/ tool. Addressing these issues and challenges by the petroleum industries in the study area, will lead to successful assessment of process safety cumulative risk, thereby reducing the risk of major accidents.展开更多
Accidents in chemical production usually result in fatal injury,economic loss and negative social impact.Chemical accident reports which record past accident information,contain a large amount of expert knowledge.Howe...Accidents in chemical production usually result in fatal injury,economic loss and negative social impact.Chemical accident reports which record past accident information,contain a large amount of expert knowledge.However,manually finding out the key factors causing accidents needs reading and analyzing of numerous accident reports,which is time-consuming and labor intensive.Herein,in this paper,a semiautomatic method based on natural language process(NLP)technology is developed to construct a knowledge graph of chemical accidents.Firstly,we build a named entity recognition(NER)model using SoftLexicon(simplify the usage of lexicon)+BERT-Transformer-CRF(conditional random field)to automatically extract the accident information and risk factors.The risk factors leading to accident in chemical accident reports are divided into five categories:human,machine,material,management,and environment.Through analysis of the extraction results of different chemical industries and different accident types,corresponding accident prevention suggestions are given.Secondly,based on the definition of classes and hierarchies of information in chemical accident reports,the seven-step method developed at Stanford University is used to construct the ontology-based chemical accident knowledge description model.Finally,the ontology knowledge description model is imported into the graph database Neo4j,and the knowledge graph is constructed to realize the structu red storage of chemical accident knowledge.In the case of information extraction from 290 Chinese chemical accident reports,SoftLexicon+BERT-Transformer-CRF shows the best extraction performance among nine experimental models.Demonstrating that the method developed in the current work can be a promising tool in obtaining the factors causing accidents,which contributes to intelligent accident analysis and auxiliary accident prevention.展开更多
Dust generated in mining and tunneling activities is hazardous to health of persons and safety of operations. These projects employ pick-milling machines to extract minerals and rock by mechanical breakage.The machine...Dust generated in mining and tunneling activities is hazardous to health of persons and safety of operations. These projects employ pick-milling machines to extract minerals and rock by mechanical breakage.The machines are equipped with flooded-bed scrubbers that encase dust particles within fine water films as particles encounter a flooded wire-mesh screen. A major disadvantage is that the screen gets clogged when particles become trapped within the wire mesh, reducing airflow through the scrubber and increasing ambient dust concentrations. Thus, the system requires frequent maintenance or replacement. The application of a Vortecone scrubber as an improved alternative to conventional fibrous type scrubbers is investigated. A Vortecone forces dust-laden air and water to follow a complex, rapidly swirling motion.The momentum drives dust particles towards the periphery where they are captured by the water film.The operating characteristics of a reduced-scale physical model of a Vortecone, with its primary axis mounted in the horizontal orientation, was analyzed numerically and experimentally. Computational fluid dynamics(CFD) models depicting the spraying action and multi-phase air/water flows using the volume of fraction(VOF) approach, are presented. Experimental results, utilizing an optical particle counting technique to establish the dust-cleaning capabilities of the model, are also described.展开更多
The leakage of stored and transported CO2 is a risk for geological sequestration technology. One of the most challenging problems is to recognize and determine CO2 leakage signal in the complex atmosphere background. ...The leakage of stored and transported CO2 is a risk for geological sequestration technology. One of the most challenging problems is to recognize and determine CO2 leakage signal in the complex atmosphere background. In this work, a time series model was proposed to forecast the atmospheric CO2 variation and the approximation error of the model was utilized to recognize the leakage. First, the fitting neural network trained with recently past CO2 data was applied to predict the daily atmospheric CO2. Further, the recurrent nonlinear autoregressive with exogenous input(NARX) model was adopted to get more accurate prediction. Compared with fitting neural network, the approximation errors of NARX have a clearer baseline, and the abnormal leakage signal can be seized more easily even in small release cases. Hence, the fitting approximation of time series prediction model is a potential excellent method to capture atmospheric abnormal signal for CO2 storage and transportation technologies.展开更多
The thermal hazards of methyl nitrite(MN)were investigated in the present study.The determination and evaluation of MN decomposition were conducted using a C600 micro thermometer.The thermal runaway reaction character...The thermal hazards of methyl nitrite(MN)were investigated in the present study.The determination and evaluation of MN decomposition were conducted using a C600 micro thermometer.The thermal runaway reaction characteristics of the compound under different initial pressures were obtained using a VSP2 calorimeter.The kinetic parameters of MN were obtained by regression fitting and calculation of the microthermal experimental data.The experimental and calculated results demonstrated that the potential explosion risk of MN is very high.In addition,there was a high energy barrier in the early stage of the uncontrolled decomposition of MN;however,once the decomposition reaction was initiated,the subsequent decomposition was easily conducted.Under the conditions of adiabatic simulation,the possibility that the reaction was uncontrolled increases with the initial temperature and pressure of the system,and there is a great potential safety risk.展开更多
Particles suspended in air are often non-spherical shapes, giving rise to shape-dependent complex dynamical processes. Suspended non-spherical particles are associated with a wide array of engineering and scientific s...Particles suspended in air are often non-spherical shapes, giving rise to shape-dependent complex dynamical processes. Suspended non-spherical particles are associated with a wide array of engineering and scientific scenarios, embodying both their microscopic and macroscopic dynamical behaviors. A comprehensive understanding of the dynamical behaviors of non-spherical particles in air hinges on the accurate identification and description of particle shape, the development of shape-specific models for the forces and torques acting on these particles, and the subsequent micro- and macroscopic phenomena that emerge as a result. This review surveys the latest advancements in the field of non-spherical particles, spanning from shape identification to the characterization of their dynamical properties. An emphasis is placed on establishing a connection between the micro- and macroscopic dynamical behaviors of non-spherical particles. The shape-induced features encompass periodic rotation and preferential orientation, which result in an oscillating migration path and lead to distinctive macroscopic characteristics. The macroscopic features of non-spherical particles are elucidated based on the preceding analysis of forces, torques, and particle-flow interactions. The future perspectives are also discussed in this review.展开更多
Sulfur dioxide(SO_(2))is a toxic,corrosive gas released from various industrial processes and the combustion of sulfur-containing fuels,contributing to air pollution,acid rain,and significant public health risks[1,2]....Sulfur dioxide(SO_(2))is a toxic,corrosive gas released from various industrial processes and the combustion of sulfur-containing fuels,contributing to air pollution,acid rain,and significant public health risks[1,2].Reliable detection of SO_(2)from trace atmospheric concentrations to high partial pressure environments is crucial for applications ranging from air quality monitoring to process safety in industrial operations[3].展开更多
Selected milestones in the development and use of electrical tomography in powder conveying, slurry processing and multi-phase flow are highlighted. The ability to map concentration in opaque mixtures under process-re...Selected milestones in the development and use of electrical tomography in powder conveying, slurry processing and multi-phase flow are highlighted. The ability to map concentration in opaque mixtures under process-realistic conditions was a major innovation for the method and has had far reaching implications. Subsequent developments have enabled velocity information to be abstracted resulting in the ability to measure component flux and motion.展开更多
基金financially supported by the Fundamental Research Funds for the Central Universities(Grant No.30923011018)。
文摘The present study introduces a screw-pressing charging method to tackle deficiencies in automation and charge uniformity during the melt-casting of polymer-based energetic materials.To ensure the safety of the experiments,this study used inert materials with similar physical properties to partially substitute for the actual energetic components in the preparation of simulant materials.By thoroughly analyzing slurry physical properties,a simulation framework and an extensive performance evaluation method were developed.Such tools guide the design of the structure and configuration of process parameters.Results demonstrate that employing the Pin element significantly enhances radial mixing within the screw,minimizes temperature variations in the slurry,and improves both efficiency and safety in the mixing process.Further,adjustments such as widening the cone angle of the barrel,modifying the solid content of the slurry,and varying the speed of the screw can optimize the mechanical and thermal coupling in the flow field.These adjustments promote higher-quality slurry and create a safer production environment for the extrusion process.
基金financially supported by the Shanghai Pilot Program for Basic Research and the National Natural Science Foundation of China(NSFC,Grant No.52307248)。
文摘The in-depth exploration of the multi-dimensional disaster-causing mechanisms associated with battery thermal runaway facilitates the whole-process safety evaluation.However,the still insufficient understanding of the thermal failure process and the limited dimensionality of the existing evaluation indexes subsequently lead to ineffective prevention and control and finally result in a high frequency of severe damage and unforeseen casualties.To address this issue,a general framework for evaluating the whole-process safety by integrating thermal and gas perspectives,involving dozens of multidimensional characteristic parameters obtained by experimental measurements and theoretical calculations,is proposed.Based on this framework,comparing the initial thermal hazards of lithium iron phosphate and nickel-cobalt-manganese lithium-ion batteries and quantifying the derived hazards of singlephase/multi-phase emissions considering battery venting gases and electrolyte solvent vapors,the significant hidden hazards of emissions dominated by reductive components that can lead to higher derived explosion and combustion risks within the external environment are identified,effectively updating the previous paradigm for evaluating cell-level thermal safety.For single-phase emissions with dominant reductive components,higher risks of low lower explosion limit and high laminar burning velocity are demonstrated;after considering typical solvent vapor types(dimethyl carbonate/ethyl methyl carbonate/diethyl carbonate)and specific mixing ratios,highly reductive multi-phase emissions still exhibit higher risks.The proposed framework reveals the underlying effect of the reductive gas-phase emissions in accelerating and aggravating system-level thermal hazards,providing important guidance and inspiration for the whole-process safety control based on gas-phase atmosphere regulation as well as for the overall safety evaluation of emerging battery material chemistries.
文摘The integration of battery energy storage systems(BESS)throughout our energy chain poses concerns regarding safety,especially since batteries have high energy density and numerous BESS failure events have occurred.Wider spread adoption will only increase the prevalence of these failure events unless there is a step change in the management and design of BESS.To understand the causes of failure,the main challenges of BESS safety are summarised.BESS consequences and failure events are discussed,including specific focus on the chain of events causing thermal runaway,and a case study of a BESS explosion in Surprise Arizona is analysed.Based on the technology and past events,a paradigm shift is required to improve BESS safety.In this review,a holistic approach is proposed.This combines currently adopted approaches including battery cell testing,lumped cell mathematical modelling,and calorimetry,alongside additional measures taken to ensure BESS safety including the requirement for computational fluid dynamics and kinetic modelling,assessment of installation level testing of the full BESS system and not simply a single cell battery test,hazard and layers of protection analysis,gas chromatography,and composition testing.The holistic approach proposed in this study aims to address challenges of BESS safety and form the basis of a paradigm shift in the safety management and design of these systems.
文摘A cross-sectional exploratory assessment of the needs and challenges of petroleum industry in Nigeria, in assessing process safety cumulative risk for major accidents prevention was investigated. A purposive cum random sampling technique was used in this study, among selected petroleum companies operating in Nigeria. Survey questionnaires were received from 216 participants made up of asset integrity engineers/operators, process safety experts, production safety professionals in the petroleum industry in Nigeria. Data analyses were carried out to cover descriptive and inferential statistics. Overall, the study recognized that assessing process safety cumulative risk is not a simple process due largely to the changing nature of safety critical barriers degradation data. The study result showed four main challenges faced by petroleum industries in Nigeria, in assessing process safety cumulative risk: 1) the study showed that 94% of the respondents agreed that there is limited accessibility to safety critical barriers degradation data (little automation). Also 2) 94% of the respondents accounted for poor knowledge of process safety cumulative risk is and agreed it to be of low rating. The result further showed that 3) 90% of the respondents demonstrated that there are no guidance and procedures in assessing process safety cumulative risk and finally 4) 92% of the respondents reported that there is no real-time risk visualization model/ tool. Addressing these issues and challenges by the petroleum industries in the study area, will lead to successful assessment of process safety cumulative risk, thereby reducing the risk of major accidents.
基金the support of the National Key Research and Development Program of China(2021YFB4000505)Sichuan Science and Technology Program(2021YFS0301)。
文摘Accidents in chemical production usually result in fatal injury,economic loss and negative social impact.Chemical accident reports which record past accident information,contain a large amount of expert knowledge.However,manually finding out the key factors causing accidents needs reading and analyzing of numerous accident reports,which is time-consuming and labor intensive.Herein,in this paper,a semiautomatic method based on natural language process(NLP)technology is developed to construct a knowledge graph of chemical accidents.Firstly,we build a named entity recognition(NER)model using SoftLexicon(simplify the usage of lexicon)+BERT-Transformer-CRF(conditional random field)to automatically extract the accident information and risk factors.The risk factors leading to accident in chemical accident reports are divided into five categories:human,machine,material,management,and environment.Through analysis of the extraction results of different chemical industries and different accident types,corresponding accident prevention suggestions are given.Secondly,based on the definition of classes and hierarchies of information in chemical accident reports,the seven-step method developed at Stanford University is used to construct the ontology-based chemical accident knowledge description model.Finally,the ontology knowledge description model is imported into the graph database Neo4j,and the knowledge graph is constructed to realize the structu red storage of chemical accident knowledge.In the case of information extraction from 290 Chinese chemical accident reports,SoftLexicon+BERT-Transformer-CRF shows the best extraction performance among nine experimental models.Demonstrating that the method developed in the current work can be a promising tool in obtaining the factors causing accidents,which contributes to intelligent accident analysis and auxiliary accident prevention.
基金supported by the National Institute for Occupational Safety and Health(NIOSH)via Grant 200-2014-59922,“Coal Mine Dust Mitigation through Novel Scrubber Development and Numerical Modeling”..
文摘Dust generated in mining and tunneling activities is hazardous to health of persons and safety of operations. These projects employ pick-milling machines to extract minerals and rock by mechanical breakage.The machines are equipped with flooded-bed scrubbers that encase dust particles within fine water films as particles encounter a flooded wire-mesh screen. A major disadvantage is that the screen gets clogged when particles become trapped within the wire mesh, reducing airflow through the scrubber and increasing ambient dust concentrations. Thus, the system requires frequent maintenance or replacement. The application of a Vortecone scrubber as an improved alternative to conventional fibrous type scrubbers is investigated. A Vortecone forces dust-laden air and water to follow a complex, rapidly swirling motion.The momentum drives dust particles towards the periphery where they are captured by the water film.The operating characteristics of a reduced-scale physical model of a Vortecone, with its primary axis mounted in the horizontal orientation, was analyzed numerically and experimentally. Computational fluid dynamics(CFD) models depicting the spraying action and multi-phase air/water flows using the volume of fraction(VOF) approach, are presented. Experimental results, utilizing an optical particle counting technique to establish the dust-cleaning capabilities of the model, are also described.
基金the National Natural Science Foundation of China(21808181)China Postdoctoral Science Foundation(2019M653651)+1 种基金Shaanxi Provincial Science and Technology Department(2017ZDXM-GY-115)Basic Research Project of Natural Science in Shaanxi Province(2020JM-021)。
文摘The leakage of stored and transported CO2 is a risk for geological sequestration technology. One of the most challenging problems is to recognize and determine CO2 leakage signal in the complex atmosphere background. In this work, a time series model was proposed to forecast the atmospheric CO2 variation and the approximation error of the model was utilized to recognize the leakage. First, the fitting neural network trained with recently past CO2 data was applied to predict the daily atmospheric CO2. Further, the recurrent nonlinear autoregressive with exogenous input(NARX) model was adopted to get more accurate prediction. Compared with fitting neural network, the approximation errors of NARX have a clearer baseline, and the abnormal leakage signal can be seized more easily even in small release cases. Hence, the fitting approximation of time series prediction model is a potential excellent method to capture atmospheric abnormal signal for CO2 storage and transportation technologies.
文摘The thermal hazards of methyl nitrite(MN)were investigated in the present study.The determination and evaluation of MN decomposition were conducted using a C600 micro thermometer.The thermal runaway reaction characteristics of the compound under different initial pressures were obtained using a VSP2 calorimeter.The kinetic parameters of MN were obtained by regression fitting and calculation of the microthermal experimental data.The experimental and calculated results demonstrated that the potential explosion risk of MN is very high.In addition,there was a high energy barrier in the early stage of the uncontrolled decomposition of MN;however,once the decomposition reaction was initiated,the subsequent decomposition was easily conducted.Under the conditions of adiabatic simulation,the possibility that the reaction was uncontrolled increases with the initial temperature and pressure of the system,and there is a great potential safety risk.
文摘Particles suspended in air are often non-spherical shapes, giving rise to shape-dependent complex dynamical processes. Suspended non-spherical particles are associated with a wide array of engineering and scientific scenarios, embodying both their microscopic and macroscopic dynamical behaviors. A comprehensive understanding of the dynamical behaviors of non-spherical particles in air hinges on the accurate identification and description of particle shape, the development of shape-specific models for the forces and torques acting on these particles, and the subsequent micro- and macroscopic phenomena that emerge as a result. This review surveys the latest advancements in the field of non-spherical particles, spanning from shape identification to the characterization of their dynamical properties. An emphasis is placed on establishing a connection between the micro- and macroscopic dynamical behaviors of non-spherical particles. The shape-induced features encompass periodic rotation and preferential orientation, which result in an oscillating migration path and lead to distinctive macroscopic characteristics. The macroscopic features of non-spherical particles are elucidated based on the preceding analysis of forces, torques, and particle-flow interactions. The future perspectives are also discussed in this review.
基金supported by the Beijing Natural Science Foundation(Z230023)the National Natural Science Foundation of China(22225803,22038001,and 22401168)+3 种基金the Beijing Outstanding Young Scientist Program(JWZQ20240102008)the Postdoctoral Fellowship Program of CPSF(GZC20250645)the China Postdoctoral Science Foundation(2025M771029)Postdoctoral Fellowship Program of CPSF(GZC20250086).
文摘Sulfur dioxide(SO_(2))is a toxic,corrosive gas released from various industrial processes and the combustion of sulfur-containing fuels,contributing to air pollution,acid rain,and significant public health risks[1,2].Reliable detection of SO_(2)from trace atmospheric concentrations to high partial pressure environments is crucial for applications ranging from air quality monitoring to process safety in industrial operations[3].
基金support of co-workers in the tomography groups at University of Leeds and the University of Manchester with funding to enable us to develop the frontiers of tomography provided by EPSRC (EP/D031257/1)
文摘Selected milestones in the development and use of electrical tomography in powder conveying, slurry processing and multi-phase flow are highlighted. The ability to map concentration in opaque mixtures under process-realistic conditions was a major innovation for the method and has had far reaching implications. Subsequent developments have enabled velocity information to be abstracted resulting in the ability to measure component flux and motion.
