基于QSPR方法的活性化合物热稳定性预测研究

为形成安全、可靠、便捷的活性化合物热稳定性预测方法,快速获取活性化合物热稳定性参数,采用定量结构-性质相关性(QSPR)方法,针对38种有机过氧化物和104种硝基化合物的起始放热温度和分解热,结合遗传函数算法(GFA)和“断点原则”筛选出的分子描述符,利用遗传算法(GA)优化的BP神经网络,建立活性化合物的热稳定性GA-BP预测模型,验证分析模型的性能和应用域。研究结果表明:所建立的GA-BP模型具有良好的拟合能力、稳定性和预测能力,优于线性模型,说明活性化合物热稳定性与分子结构之间存在非线性关系;同时,得出影响活性化合物热稳定性参数的主要结构因素。     

咪唑类离子液体捕集CO_2性能的定量结构-性质相关性(QSPR)研究

CO_2是主要的温室气体,大量CO_2的存在严重影响着人类的生存环境和生态平衡,而咪唑型离子液体具有独特的气体溶解性,在CO_2的捕集分离中有很好的应用前景。基于定量结构-性质相关性(QSPR)原理,研究了咪唑类离子液体捕集CO_2的性能与其结构参数之间的内在定量关系。应用遗传算法获得与捕集量最为密切相关的一组描述符作为输入参数,随后,分别采用多元线性回归算法及支持向量机结合粒子群优化算法建立了咪唑类离子液体捕集CO_2的性能与其描述符之间的线性和非线性模型。多元线性回归算法得出训练集和测试集的复相关系数分别为0.765和0.814,支持向量机算法得出训练集和测试集的复相关系数分别为0.987和0.933。对预测模型进行了评价验证以及稳定性分析,结果表明,2种模型具有良好的稳定性能和预测能力。     

基于分子结构的链烷烃辛烷值预测研究

基于定量结构-性质相关(QSPR)原理,研究化学物质的结构与性能之间的关系,应用遗传-偏最小二乘(GA -PLS)方法从大量结构参数中筛选出与链烷烃马达法辛烷值最相关的5个分子描述符,采用多元线性回归方法,建立了根据分子结构预测链烷烃马达法辛烷值的数学模型.结果表明,模型具有较高的稳定性以及预测能力.为工程上提供了一种...     

有机过氧化物反应热的危险性预测研究

为了采用非实验的方法对安全物质学的研究内容及研究方法进行初探,基于定量结构-性质关系法,选择13种与有机过氧化物热危险性的影响因子密切相关的描述符,分别对起始分解温度T0和分解热△H的实验数据进行多元线性回归、偏最小二乘和支持向量机回归分析,从而获得3种相应的预测模型。对比T0与△H的实验值和预测值,结果发现:SVM预测模型的精度高于PLS预测模型,MLR预测模型的精度最低;同种预测模型对分解热的预测结果均优于起始分解温度。此外,分析各预测模型的稳定性数据发现:MLR模型的预测过程发生了过拟合现象,不具备预测能力;PLS模型的交互验证系数均大于0.5,具备较稳定的预测能力;SVM模型的交互验证系数均大于0.9,具备非常稳定的预测能力。     

Study on the early stage of runaway reaction using Dewar vessels

In this paper, compared with a UN cylindrical 500 mL Dewar (H.4 in the UN tests), a spherical 1 L Dewar vessel was used to study the early stages of runaway reactions of several liquid and solid samples, including three organic peroxides and a reactive material. The samples were filled in the vessels and the temperature profiles versus times at different positions of the samples were measured. As a result, the minimum temperatures, defined as the SADT, were averagely 10 K lower than those measured in the cylindrical Dewar vessels. At the same time, the temperature profiles of solids in the spherical Dewars tended to be homogeneous. The heat transfer coefficient of a spherical Dewar is only 0.18 W/K/m, one-eighth of a conventional cylindrical Dewar vessel. Meanwhile it has a low phi factor. These factors are essential to simulate low heat loss bulk conditions in the equilibrium process and at the early stage of a runaway reaction. To characterize the ability of the adiabaticity of a storage vessel, it can be seen that a spherical Dewar could simulate the plant process having critical storage size of a reactive-material, r₀, approximately 0.6 m. It is recommended that such a technique is used to investigate the SADT of an unstable material in larger scale packaging or a material with very weak heat release in industry.     

化学品活性反应危险性表征方法研究

通过对国内外典型活性化学反应事故的研究,在传统和通用的化学反应危险性评价表征方法的基础上,提出使用化学反应的最大功密度表征化学反应热危险性的新方法。该方法将化学反应的热力学参数和动力学参数相结合,全面表征了反应过程的热危险性。采用加速量热仪模拟硝酸铵、过氧化氢,以及多种有机过氧化物的绝热反应放热情况,并运用测得的参数,计算得到其最大功密度,并与传统动力学计算方法得到的结果进行比较。根据对实验和计算结果的分析证明:利用最大功密度的方法评价化学反应的危险性更符合化学反应的实际情况,该方法为化学品安全生产提供可靠的技术支持。     

Applications of thermal hazard analyses on process safety assessments

In 2011, a large petrochemical complex in Taiwan incurred several fire and explosion accidents, which had considerable negative impact for the industry on both environmental and safety issues. Reactive substances are widely used in many chemical industrial fields as an initiator, hardeners, or cross-linking agents of radical polymerization process with unsaturated monomer. However, the unpredictable factors during the process having risk to runaway reaction, thermal explosion, fire, and exposure to harmful toxic chemicals release due to the huge heat and gas products by thermal decomposition could not be removed from the process. This study used differential technology of thermal analysis to characterize the inherent hazard behaviors of azo compounds and organic peroxides in the process, to seek the elimination of the source of the harmful effects and achieve the best process safety practices with zero disaster and sound business continuity plan.     

应用电性拓扑状态指数预测烷烃自燃点

建立了一个基于人工神经网络的定量结构-性质相关性模型,用于52种烷烃化合物自燃点的预测研究。应用原子类型电性拓扑状态指数作为表征分子结构特征的描述符。该指数既能表征分子的电子特性,又反映其拓扑特征,同时易于计算,并有较强的同分异构体区分能力。采用误差反向传播（BP）神经网络方法对烷烃自燃点与电性拓扑状态指数间可能存在的非线性关系进行拟合。将52种烷烃样本随机划分为训练集（30种）、验证集（8种）和测试集（14种）,并通过“试差法”确定网络的最优参数。运用最佳网络结构[64—1]对实验样本进行模拟,结果表明,多数样本的自燃点预测值与实验值符合良好,对于测试集,平均预测绝对误差为8．4℃,均方根误差为11．8,优于多元线性回归方法和传统基团贡献法所得结果。该方法的提出为工程上提供了一种根据分子结构预测有机物白燃点的有效方法。     

自反应性化学物质的热危险性评价方法

笔者进行的研究工作 ,给出了利用C80微量量热仪所测得的自反应性化学物质的热流速曲线 ,从而求解该物质的化学反应动力学参数 ,以及在Semenov模型下求解其自加速分解温度SADT(Self AcceleratingDecompositionTemperature)的方法 ,并将一些有机过氧化物、氧化剂和可燃剂的混合物的自加速分解温度的推算结果与实测值进行了比较。实验证明 ,该推算方法结论准确 ,是一种安全、简便、实用的反应性化学物质热危险性的评价方法     

Thermal decomposition kinetic of liquid organic peroxides

This study demonstrates the application of isothermal calorimeter for investigating the thermal decomposition of several liquid organic peroxides, such as t-Butyl peroxy acetate (TBPA), Di-tert butyl peroxide (DTBP), and Cumene hydroperoxide (CHP). The decomposition mechanism and kinetic can be identified from case to case. TBPA and DTBP undergo first order reaction, whereas CHP occurs autocatalysis. Accurate kinetic can be assessed on the basis of discerning these various schemes of given samples. Consequently, the thermal runaway or reactive hazards potential of organic peroxides can be determined, for instance as a self accelerating decomposition temperature (SADT).     

Determination of heterogeneous reaction mechanisms: A key milestone in dust explosion modelling

Reaction kinetics is fundamental for modelling the thermal oxidation of a solid phase, in processes such as dust explosions, combustion or gasification. The methodology followed in this study consists in i) the experimental identification of the reaction mechanisms involved in the explosion of organic powders, ii) the proposal of simplified mechanisms of pyrolysis and oxidation, iii) the implementation of the model to assess the explosion severity of organic dusts. Flash pyrolysis and combustion experiments were carried out on starch (22 μm) and cellulose (53 μm) at temperatures ranging from 973 K to 1173 K. The gases generated were collected and analyzed by gas chromatography. In this paper, a semi-global pyrolysis model was developed for reactive systems with low Damköhler number. It is in good agreement with the experimental data and shows that both carbon monoxide and hydrogen are mainly generated during the pyrolysis of the solid, the generation of the latter compound being greatly promoted at high temperature. A simplified combustion model was also proposed by adding two oxidation reactions of the pyrolysis products. In parallel, flame propagation tests were performed in a semi open tube in order to assess the burning velocity of such compounds. The laminar burning velocity of cellulose was determined to be 21 cm s⁻¹. Finally, this model will be integrated to a predictive model of dust explosions and its validation will be based on experimental data obtained using the 20 L explosion sphere. The explosion severity of cellulose was determined and will be used to develop and adjust the predictive model.     

The thermal hazard evaluation of 1,1-di (tert-butylperoxy) cyclohexane by DSC using non-isothermal and isothermal-kinetic simulations

1,1-Di (tert-butylperoxy) cyclohexane (DTBPH) has been widely employed in the chemical industry. Unfortunately, organic peroxides have been involved in many serious fires and explosions in manufacturing processes, storage, and transportation. This study investigated the thermokinetic parameters by isothermal kinetic and non-isothermal-kinetic simulation, using differential scanning calorimetry (DSC) tests. DSC was applied to assess the kinetic parameters, such as kinetic model, frequency factor (ln k₀), activation energy (E_a), reaction order, and heat of reaction (ΔH_d). Comparisons of non-isothermal and isothermal-kinetic model simulation led to a beneficial kinetic model of thermal decomposition to predict the thermal hazard of DTBPH. Simulations of a 0.5 L Dewar vessel and 25 kg barrel commercial package in liquid thermal explosion models were performed and compared to the results in the literature. From the results, the optimal conditions for use of DTBPH to avoid violent runaway reactions during the storage and transportation were determined. This study established the features of thermal decomposition that could be executed as a reduction of energy potential and storage conditions in view of loss prevention.