A bayesian network-based safety assessment method for solid propellant granule-casting molding process

The safety of the solid propellant molding process is vital for the stable production of high-quality propellants. Failure events caused by abnormal parameters in the molding process may have catastrophic consequences. In this paper, a Bayesian network (BN) model is proposed to assess the safety of the solid propellant granule-casting molding process. Fault tree analysis (FTA) is developed to construct a causal link between process variables and process failures. Subsequently, expert experience and fuzzy set theory (FST) are used to obtain failure probabilities of the basic events (BEs). Based on the mapping rules, FTA provides BN with reliable prior knowledge and a network structure with interpretability. Finally, when new evidence is obtained, the probability is updated with the diagnostic reasoning capability of BN. The results of the sensitivity analysis and diagnostic inference were combined to identify key parameters in the granule-casting molding process, including curing temperature, vacuum degree, extrusion, calendering roll distance, length setting value, holding time, and polish time. The results of this paper can provide effective supporting information for managers to conduct process safety analysis.     

Effects of typical additives on the thermal stability of ammonium peroxydisulfate

Ammonium peroxydisulfate (APS), one of the most widely used inorganic peroxides in the process industries, is a thermally unstable peroxide and potent oxidizer due to the presence of peroxy bond in the molecule and is incompatible with most substances. To investigate the effect of typical additives on the thermal decomposition of APS, in this paper, diamine phosphate (DAP), monoamine phosphate (MAP), and aluminum hydroxide (AH) were selected as additives; pure APS and samples with 10 wt% and 20 wt% of additives were first tested by differential scanning calorimetry (DSC). The experiments and analysis showed that the samples with 10 wt% of additive had better thermal stability than those with 20 wt% of additive. After screening, the three groups of 10 wt% AH, 10 wt% MAP, and 20 wt% MAP additive conditions could be considered to have a better thermal stability effect on the thermal decomposition of APS. Four groups of samples were, in turn, tested by Phi-Tec II. The adiabatic results showed two discontinuous exothermic processes; 10 wt% AH promoted the weak exothermic effect in the first stage. In contrast, the three groups of additives in the main exothermic stage showed different degrees of inhibition, and the inhibiting effect was ranked as 10 wt% AH, 10 wt% MAP, and 20 wt% MAP in order. Finally, the self-accelerated decomposition temperature (SADT) was calculated under the 25 kg standard package. The adiabatic results, including SADT, were combined to render feasible recommendations for the use of additives, which provides references for the packaging and transportation of additives and their applications.     

大气14CO2的时空分异特征及其在化石源CO2示踪中的应用

大气CO₂中放射性碳同位素(¹⁴C)的水平可以反映化石源CO₂的影响程度,这对于评估我国目前化石源CO₂的排放状况和制定节能减排政策具有重要的指导意义。本文在概述大气¹⁴CO₂采样和分析方法的基础上,简要介绍了大气¹⁴CO₂观测的起源和主要的源汇过程,重点论述了大气¹⁴CO₂的时空分异特征及其驱动因素;阐述了化石源CO₂浓度的估算方法及¹⁴CO₂在国内外化石源CO₂示踪中的应用现状,并对大气¹⁴CO₂观测在我国化石源CO₂示踪中的应用前景进行了展望;旨在为我国正确地开展大气¹⁴CO₂的观测研究,深刻地理解特定区域大气¹⁴CO₂的时空分异特征和化石源CO₂的分布状况提供参考。     

Dynamic risk assessment for underground gas storage facilities based on Bayesian network

Loss of the underground gas storage process can have significant effects, and risk analysis is critical for maintaining the integrity of the underground gas storage process and reducing potential accidents. This paper focuses on the dynamic risk assessment method for the underground gas storage process. First, the underground gas storage process data is combined to create a database, and the fault tree of the underground gas storage facility is built by identifying the risk factors of the underground gas storage facility and mapping them into a Bayesian network. To eliminate the subjectivity in the process of determining the failure probability level of basic events, fuzzy numbers are introduced to determine the prior probability of the Bayesian network. Then, causal and diagnostic reasoning is performed on the Bayesian network to determine the failure level of the underground gas storage facilities. Based on the rate of change of prior and posterior probabilities, sensitivity and impact analysis are combined to determine the significant risk factors and possible failure paths. In addition, the time factor is introduced to build a dynamic Bayesian network to perform dynamic assessment and analysis of underground gas storage facilities. Finally, the dynamic risk assessment method is applied to underground gas storage facilities in depleted oil and gas reservoirs. A dynamic risk evaluation model for underground gas storage facilities is built to simulate and validate the dynamic risk evaluation method based on the Bayesian network. The results show that the proposed method has practical value for improving underground gas storage process safety.     

Fenton试剂氧化法处理印染废水实验研究

通过将Fenton法应用于印染废水的处理,研究pH值、温度、反应时间、Fe2+投加量以及H2O2投加量对Fenton试剂处理印染废水的影响,同时确定Fenton法处理印染废水的最适反应条件。实验结果表明:(1)最适反应条件,即pH值、温度、反应时间、Fe2+投加量、H2O2投加量分别为3,50℃,45 min,70 mg/L,2.5 mL/L,此时COD的去除率最高,为66.60%。(2)pH值为3时,下列因素对COD的去除率影响程度大小依次为H2O2投加量Fe2+投加量反应时间反应温度。     

混凝气浮+SBR处理再生花炮纸工艺废水的应用

采用混凝气浮+SBR处理年产1万t再生花炮纸工艺废水,对SS、CODCr、BOD5的处理效率分别为96.2%、96.2%、93.1%,最大日均值排放浓度分别为64mg/L、80.7mg/L、26mg/L,排放负荷分别为0.59kg/t、0.63kg/t、0.22 kg/t,均未超过标准限值的要求(pH范围为6.14-7.20);CODCr年排放总量5.4t小于20t/年;纸浆回收率92.0%、白水回用率94.4%、水循环利用率93.2%达标;实现"三排三率"六达标。     

基于大型乙烯成套装置工艺安全的变更管理

介绍了工艺安全变更管理的概念及相关标准法规,结合国内变更管理的现状,提出了大型乙烯成套装置工艺安全变更管理建议。     

45~#钢在西双版纳大气环境下的腐蚀研究

目的研究西双版纳热带雨林地区大气环境下材料的初期腐蚀行为。方法使用45#碳钢在西双版纳大气环境下进行1年的大气暴露腐蚀试验,并利用质量损失分析、SEM、XRD和FTIR等技术,分析45#碳钢在西双版纳大气环境下暴露1年的腐蚀行为。结果 45#碳钢的腐蚀产物以γ-FeOOH,Fe(OH)3和Fe3O4为主,并有少量的α-FeOOH。结论西双版纳大气环境腐蚀性为C2级。在暴露1年的时间内,锈层化学稳定性随试验时间的延长逐渐增强,对基体的保护性逐渐加大。     

普光气田含硫污水尾气处理工艺应用与优化

针对中国石化普光气田产出水属于典型的含硫污水,密闭处理系统中产生大量高含硫尾气,论述了尾气处理工艺中存在的问题,优化了单一的生物除硫、活性炭吸附工艺,增加了一级碱洗、氧化除硫工艺,实现尾气达标排放。     

石化企业苯类物质非密闭操作过程的职业暴露分析

采用职业卫生学调查和职业暴露风险评估方法,对选定的苯类物质非密闭操作过程较集中的芳烃装置进行职业暴露分析和评估,为石化企业苯类物质的健康风险控制提供依据。