灯箱布用涤纶工业丝纺丝工艺研究

利用正交试验和单因子试验,对影响灯箱布用涤纶工业丝的断裂强度和干热收缩率指标的工艺因素进行了研究。优化了灯箱布用工业丝的纺丝工艺,物理指标满足灯箱布使用要求。     

10D系列超细旦涤纶长丝纺丝工艺研究

为了提高10D系列超细旦涤纶长丝的物理性能,开发了新型环吹风技术、新型环吹滤芯全锭位清洗及检测技术和新型锭轴支撑套加热技术,同时在生产过程中对纺丝温度、冷却条件、上油工艺、拉伸条件等工艺参数进行了优化,得到最佳工艺条件,制备了品质优良的产品。     

中高收缩涤纶短纤维纺丝工艺探讨

探讨了影响涤纶短纤维收缩率的工艺条件。通过对原丝线密度、纺丝速度、拉伸温度、拉伸倍率、紧张热定型及松弛热定型等工艺条件的优化和控制,采用常规聚酯切片成功开发出收缩率在20%以上的涤纶短纤维。     

喷粘法生产涤纶喷胶棉的工艺条件探讨

作者总结了几年来的生产实践经验,探讨了用喷洒粘合法生产涤纶喷胶棉的工艺条件优化问题。研究了喷粘法对涤纶短纤维及粘合剂的品质指标的要求;粘合剂固化温度与时间的选择及其在成品中的含量,还提出了提高产品膨松度和弹性回复率的途径。     

TMT-IBOX设备生产涤纶超亮光全拉伸丝的生产工艺

通过对TMT-IBOX设备及其配套纺丝环吹系统的分析与试验,探讨了使用该设备生产120dtex/85 f熔体直纺超亮光涤纶全拉伸丝(FDY)的工艺参数.结果表明:通过优化工艺条件,可以生产出蓬松性、抱合性、着色性及后道织造性能优良的三角异形涤纶超亮光FDY产品.     

熔体直纺细旦涤纶FDY 44 dtex/48 f生产工艺

对熔体直纺细旦FDY 44 dtex/48 f的生产工艺进行了介绍。探讨纺丝组件、冷却条件及集束上油、缓冷区、拉伸工艺等条件对产品质量的影响。结果表明,通过侧吹风室的改造和优化工艺可以生产出优质产品。     

网络丝生产工艺探讨

用HEBERLEINP2 12网络喷嘴 ,在法国ICBTFTF12E3加弹机上生产不同网络度和牢度的网络丝。探讨了网络张力、压缩空气压力等工艺条件与网络度和牢度的关系 ;优化工艺参数 ,生产的网络丝满足了市场多样化的需求。     

再生中强型涤纶工业长丝技术的开发

采用化学醇解法制得的再生聚酯切片,经固相增黏后输送至纺丝系统,从而制备中强型涤纶工业长丝。针对再生基聚酯切片具有的熔点低、特性黏度不稳定、含有机杂质多等特性,对固相增黏工艺、熔体过滤系统、纺丝工艺等过程条件进行了探索和优化,最终制得断裂强度≥6.5 cN/dtex、断裂伸长率19.4%、干热收缩率6.49%的工业用中强型涤纶工业长丝。     

柔性化熔体直纺涤纶超细旦全拉伸丝生产技术

探讨如何利用现有熔体直纺涤纶常规生产线条件,通过柔性化技术改造和工艺条件优化措施,组织生产涤纶超细旦全拉伸丝(FDY)的工艺技术。以生产超细旦涤纶22 dtex/24 f FDY为例,探讨通过熔体质量和管路流量控制、输送条件选择、计量泵油泵选型、冷却条件控制、拉伸成形等工艺条件优化,柔性化生产高品质涤纶长丝超细旦产品,满足后加工工序产品技术要求和织物风格需求。     

抗静电剂PEE的应用工艺优化

由DMT、EG和PEG合成了抗静电剂PEE,并通过正交试验分析得出了抗静电剂PEE对涤纶进行抗静电整理的较优工艺条件。     

PTFE间歇聚合反应过程变周期动态经济优化控制

聚四氟乙烯(PTFE)间歇聚合生产模式可满足小批量、多用途以及高质量产品的市场需求。针对PTFE聚合过程存在强非线性和大时滞特性,提出了一种基于自由终端的动态经济优化控制方法。首先,将生产周期作为一个自由度纳入优化变量建立动态经济优化问题,采用改进控制变量参数化方法,控制输入被离散为可变长度的片状序列,便可将动态经济优化问题转换为非线性规划(NLP)问题;然后,采用基于梯度下降的内点罚函数法求解NLP问题,通过变周期预测时域的滚动优化控制方法优化控制输入和终端时间;最后将提出的变周期动态经济优化控制与传统PI控制、非线性模型预测控制进行对比测试分析,仿真结果表明本方法单位经济效益更高,生产周期更短,突显了间歇生产的灵活性。     

原油库存调度优化技术研究

根据原有库存实际生产需要运用库存优化理论,在重点考虑热耗因素下,以此作为目标函数,建立数学模型,对所建立的模型进行分析,利用分支界限法进行求解,对原油库存优化后结果明显好于优化前。优化后调度方案满足原油库实际生产需要,按照库存优化后计算,所损失的热量为4,05×10^9kJ,而在原油库存优化前实际的损耗热量为4．4×10^9kJ,两者之差为3．5×10^8kJ,按照原料高位发热值计算,每天节省下来1．5t燃料,起到了很好的经济效益,降低了企业成本。     

PTFE间歇聚合反应过程变周期动态经济优化控制

聚四氟乙烯(PTFE)间歇聚合生产模式可满足小批量、多用途以及高质量产品的市场需求。针对PTFE聚合过程存在强非线性和大时滞特性,提出了一种基于自由终端的动态经济优化控制方法。首先,将生产周期作为一个自由度纳入优化变量建立动态经济优化问题,采用改进控制变量参数化方法,控制输入被离散为可变长度的片状序列,便可将动态经济优化问题转换为非线性规划(NLP)问题;然后,采用基于梯度下降的内点罚函数法求解NLP问题,通过变周期预测时域的滚动优化控制方法优化控制输入和终端时间;最后将提出的变周期动态经济优化控制与传统PI控制、非线性模型预测控制进行对比测试分析,仿真结果表明本方法单位经济效益更高,生产周期更短,突显了间歇生产的灵活性。     

水煤浆气化装置操作优化技术及其应用

针对水煤浆气化装置操作优化问题,提出了一种多种群竞争型协同文化差分进化算法(MCCDE),算法中建立了基于差分进化算法的竞争型协同策略及竞争适应度评判方法,并引入了文化算法的部分思想。同时,建立了德士古气化炉操作优化模型,将MCCDE算法用于优化模型的求解。采用某化工厂气化系统实际运行数据进行仿真,经过操作优化计算,能够获得优化的控制参数,并提高气化炉有效气产率。最后,开发了水煤浆气化操作优化系统应用软件,能够实现将建模、控制、优化技术应用于实际生产中,以提高装置的经济效益。     

纸厂浆纸动态优化产耗存数学模型研究及系统设计

针对纸厂的浆纸生产过程,通过建立浆纸动态优化产耗存数学模型,开发浆纸动态优化系统,用于计算系统的浆纸平衡情况,合理安排生产计划,预测设备维修时各工段的停车时间,并提供浆纸平衡的监控手段,避免生产过程的不正常波动.     

Enterprise-wide optimization in an integrated chemical complex

An integrated chemical production complex provides a rich environment for the application of enterprise-wide optimization techniques. A world scale site can be composed of dozens of production plants manufacturing hundreds of products. This paper discusses the nature of an integrated chemical production site to identify the opportunities for enterprise-wide optimization. It shows how the site is composed of sub-systems, called envelopes, which involve the production of a basic chemical and its downstream derivatives or comprise a network of units that provide an important utility. Several planning and operational challenges in these envelopes are shown to be excellent optimization opportunities. The challenge of waste disposal scheduling is presented in detail along with a solution using a resource task network.     

Optimization of Methanol Synthesis Loops with Quench Reactors

An optimization procedure for increasing the methanol production in synthesis loops with quench reactors is presented. The process decision variables are represented by a set of split fractions of the reactor feed to the catalyst beds. The optimization routine is coupled to a steady‐state model of the methanol synthesis loop. Numerical results illustrate the performance of the proposed optimization procedure, presenting an example, where a considerable increase in methanol production can be reached after the application of the optimization procedure.     

Integration of production scheduling and dynamic optimization for multi-product CSTRs: Generalized Benders decomposition coupled with global mixed-integer fractional programming

Integration of production scheduling and dynamic optimization can improve the overall performance of multi-product CSTRs. However, the integration leads to a mixed-integer dynamic optimization problem, which could be challenging to solve. We propose two efficient methods based on the generalized Bender decomposition framework that take advantage of the special structures of the integrated problem. The first method is applied to a time-slot formulation. The decomposed primal problem is a set of separable dynamic optimization problems and the master problem is a mixed-integer nonlinear fractional program. The master problem is then solved to global optimality by a fractional programming algorithm, ensuring valid Benders cuts. The second decomposition method is applied to a production sequence formulation. Similar to the first method, the second method uses a fractional programming algorithm to solve the master problem. Compared with the simultaneous method, the proposed decomposition methods can reduce the computational time by over two orders of magnitudes for a polymer production process in a CSTR.     

Integrating process and power grid models for optimal design and demand response operation of giga-scale green hydrogen

Electrolysis-based hydrogen production can play a significant role in industrial decarbonization, and its economic competitiveness can be promoted by designing demand response operating schemes. Nevertheless, the scale of industrial supply plants may be significantly large (on the order of gigawatts), meaning that electricity prices cannot be treated as an input for scheduling problems, that is, the “price taker” approach. This article presents a framework for the optimization of a large-scale, electricity-powered hydrogen production facility considering its integration with the power grid. Using a computational case study, we present an iterative scheme for integrating the process model with a model for power grid optimization and capacity expansion, taking the popular GenX model as an example.     

A general modular framework for the integrated optimal management of an industrial gases supply-chain and its production systems

A general modular methodology for the simultaneous optimization of the supply-chain network and the production systems of a general industrial gas producer is developed and implemented in a C++ program. The formulation and solution algorithm are specifically designed to be able to work on-line and to determine the optimal assignments of production site output to customer demand in the supply-chain and the corresponding optimal operating conditions for the production plants in integrated fashion. Here, the production network is not simply modelled as a set of product sources, rather the model is detailed enough to allow effective and feasible optimization of the entire system. Moreover, the proposed approach can be easily combined with the rolling horizon technique to mitigate the uncertainties in demand. The modelling strategies, employed for the supply-chain network and the production sites, along with the solution approach, adopted for the resulting optimization problem, are detailed. BzzMath library classes are used to meet the computational efficiency requirements for on-line applications. The effectiveness of the proposed methodology is demonstrated on a case study involving a portion of the real supply-chain and network of production facilities of Linde Gas Italia S.r.l.