模拟技术在塑料中空成型中的研究进展

介绍了模拟技术在吹塑型坯成型中的研究和发展状况，对国内外学者针对型坯成型过程运用的数值分析方法和理论依据进行了论述，并着重介绍了神经网络方法。指出型坯成型过程是吹塑过程的核心，受聚合物材料性能、熔融温度、成型加工条件等因素的综合影响，有待进一步研究。     

挤出吹塑实验研究进展

对挤出吹塑过程的三个阶段：型坯成型、型坯吹胀以及制品冷却与固化阶段的实验方法和装置的研究现状进行了详细论述。     

挤出吹塑型坯吹胀的CAD／CAE技术

对挤出吹塑型坯吹胀过程的CAD／CAE技术进行了初步研究。此技术可通过对吹塑CAD几何造型，CAD／CAE间信息传递，以及CAE分析的集成，实现对挤出吹塑型坯吹胀成型工艺过程的模拟和分析。最后用实例验证了此技术的可行性，为塑料制品的设计、材料选择、模具设计、吹塑成型工艺的制定及吹塑成型工艺过程的控制提供了科学依据。     

挤出吹塑型坯吹胀的CAD/CAE技术

对挤出吹塑型坯吹胀过程的CAD／CAE技术进行了初步研究。此技术可通过对吹塑CAD几何造型，CAD／CAE间信息传递，以及CAE分析的集成，实现对挤出吹塑型坯吹胀成型工艺过程的模拟和分析。最后用实例验证了此技术的可行性，为塑料制品的设计、材料选择、模具设计、吹塑成型工艺的制定及吹塑成型工艺过程的控制提供了科学依据。     

吹塑成型CAE技术研究与应用现状分析

吹塑成型是成型中空塑料制品的主要成型方法,其成型过程包括型坯成型、型坯吹胀和制品的冷却固化三个阶段。中空制品的吹型成型质量受各种工艺因素的影响,包括熔融温度、吹胀压力、拉仲速率、冷却时间、聚合物材料柱能等。吹塑成型数值模拟可预测制品的壁厚均匀性,残余应力和收缩状况等,指导吹塑成型模具的优化设计,并通过优化工艺参数获得最佳性能的吹塑制品。本文对吹塑成型CAE技术的发展状况进行了详细研究,并对其应用现状作了简单分析。     

注射吹塑成型设备及工艺

<正> 一、前言同挤出吹塑成型加工一样,注射吹塑成型也是生产中空塑料容器的一种两步成型方法。但它又完全不同于挤吹成型,生产过程中,由注射机将熔融物料在高压下注入注塑膜内形成特定的型坯,注塑模开模后型坯保留在芯棒体上,然后在一定温度下,通过机械传动将型坯置入吹塑模     

中空吹塑成型过程数值分析技术的进展

论文对塑料中空吹塑成型过程数值分析的研究和发展状况进行了全面的阐述，针对成型过程的三个阶段：型坯形成，型坯吹胀以及冷却与固化阶段因内外研究者进行数值分析的具体谅才理论依据进行了较详细的论述，并指出毛坯熔融挤出，吹胀成型、冷却和固化是成型周期中紧密衔接的三个过程，目前对各个阶段分别进行研究的较多，而综合考虑气压、温度、冷却时间、高分子材料性能等因素对全过程进行数值模拟的较少见报道，因此还有许多研究工     

塑料挤出吹塑中型坯成型模拟采用的本构方程

型坯成型是塑料挤出吹塑中的一个重要阶段。对型坯成型阶段的数值模拟可分为两种方法：一种是将型坯机头内的聚合物熔体看作牛顿流体，另一种是将其看作粘弹性流体。在对粘弹性流体进行分析时，用到了微分型和积分型的本构方程，对此进行了较系统的介绍。     

未来十年吹塑成型技术展望

１　概述　　吹塑是加工中空制件的一种成型方法,其过程是把软化或熔融的热塑性塑料型坯放入到冷金属模型内腔,吹胀型坯使其紧贴在模腔壁上,直至塑料型坯保持金属模的形状,然后脱模并修整成型了的制件以清除飞边或边料。虽然大多数聚合物可用各种吹塑方法成型,但ＰＥ所占的比重为大。１９９６年美国吹塑塑料消耗总量约为１００亿磅,其中ＰＥ占２／３左右。ＰＥＴ消耗量占２０亿磅,其它如ＰＶＣ、ＰＰ、ＰＣ和ＡＢＳ塑料用于吹塑的消耗量大致相同。　　通常把吹塑产品分为日用品容器和工业及结构用制品。日用容器约占其中的８５％市场…     

挤出吹塑中型坯成型的神经网络模型的选取

型坯成型是挤出吹塑中的一个重要阶段,人工神经网络是一门新兴交叉科学.本文用几种不同的神经网络模型预测了挤出吹塑中型坯成型时的直径膨胀率,选取其中精度和效率均较高的模型,以用于下一步用神经网络来预测型坯成型时的壁厚膨胀率和最终制品的壁厚分布.     

聚碳酸酯的吹塑成型

简介聚碳酸酯吹塑容器的特性与用途,着重分析其吹塑(包括挤出吹塑、共挤吹塑和注射吹塑)成型的机械(螺杆、机筒、型坯机头与吹塑模具)设计要点及工艺条件。     

Numerical simulation of blow molding—prediction of parison diameter and thickness distributions in the parison formation process

In our previous study, we calculated the time course of parison length in the parison formation stage, but it could predict only the parison area swell. The next target in our study is to calculate the parison diameter and thickness swell. Annular extrudate swell simulation is necessary for the understanding of various kinds of swelling ratios in blow molding. We have examined three kinds of swells (outer diameter, thickness, and area swells) obtained from simulation results of annular extrudate swell, using the Giesekus model, and have developed a method of predicting parison outer diameter and thickness swell values. The predicted values of parison outer diameters are discussed in comparison with experimental data, and reasonable results are obtained by the proposed method. This prediction method could also be applied to the parison formation process using a parison controller. As a result, it is possible to predict approximately the whole process of parison formation by numerical simulation.     

Variables affecting parison diameter swell and their correlation with rheological parameters

An important factor in the selection of blow molding resins for producing handled bottles is the effective diameter swell of the parison. Ideally, the diameter swell is directly related to the weight swell and would require no separate consideration. In actual practice, the existence of gravity, the finite parison drop time and the anisotropic aspects of the blow molding operation prevent reliable prediction of the parison diameter swell directly from the weight swell. The parison diameter swell is a complex function of the weight swell, the rate of swell and the melt strength. Elements of this function are presented which show the effect of extrusion rate, parison drop time and parison weight. A technique is presented which allows the estimation of local weight and diameter swell ratios. Their direct relationship is confirmed by data obtained on several blow molding resins. The relationship between weight swell and diameter swell is definitely anisotropic. A mathematical model for swell is proposed which incorporates experimentally determined rate constants and swell coefficients. Correlations are given which suggest fundamental relationships between these derived coefficients and basic variables such as resin properties or process conditions. The model's predictive capability is demonstrated by using it to back calculate parison dimensions.     

基于RBF神经网络的挤出吹塑中型坯尺寸的预测

在利用BP神经网络预测挤出吹塑中型坯尺寸工作的基础上,采用径向基神经网络(RBF)来预测挤出吹塑中型坯尺寸,并与BP神经网络的预测结果进行了比较。结果表明,虽然RBF与BP神经网络均能较好地预测挤出吹塑中型坯尺寸,RBF网络的训练时间比BP少很多,只是BP的0.7%。     

注吹一次成型全自动吹瓶机开边模结构设计

介绍用注塑机改装的注吹一次成型全自动吹瓶机开边模部件的结构设计，在通用注塑机动板、定板之间加装一个回转模部件，定板做成注塑凹模部件，动板上安装开边模部件，合模时将塑料熔体注射到凹模与回转模芯棒之间的空腔内形成吹瓶用的管坯，而在动板侧（开边模部件0将管坯吹塑成瓶形。整个工作过程用微电脑或可编程序控制器（PC）控制全自动完成。     

New Strategies for Predicting Parison Dimensions in Extrusion Blow Molding

In this work, two new strategies were proposed for predicting the parison thickness and diameter distributions in extrusion blow molding. The first one was a finite-element-based numerical simulation for the parison extruded from a varying die gap. The comparison of simulated and experimental parison thickness distributions indicates that the new method has certain accuracy in predicting the parison thickness from a varying die gap. The second one was an artificial neural network (ANN) approach, the characteristics of which are in sufficient patterns that can be obtained without doing too many experiments. The diameter and thickness swells of the parisons extruded under different flow rates were obtained by a well-designed experiment. The obtained data were then used to train and test the ANN model. The dimension of one location on the parison can provide one pattern to train the ANN model. Trained and tested ANN model can be used to predict the dimensions at any location on the parison within a given range. The proposed two strategies can help search the processing conditions to obtain optimal parison thickness distributions.     

The dynamics of parison development in blow molding

An experimental program was carried out to study the dynamics of parison swell and development in extrusion-blow molding. Two commercial blow molding grade polyethylene resins were employed in conjunction with an Impco, Model A13-R12 reciprocating screw blow molding machine equipped with a cylindrical bottle mold. Parison weight swell was measured with the aid of a parison pinch-off mold. In order to obtain more reliable and useful information regarding diameter and thickness swell of the parison and the dynamics of parison formation and development, high speed cinematography was employed. Data obtained by this technique are more reliable than results obtained with the pinch-off mold alone. They also give further insight into the phenomena of swell, sag, and parison spring back or recovery.     

An experimental investigation of capillary extrudate swell in relation to parison swell behavior in blow molding

An experimental study was carried out to study and characterize the capillary extrudate swell and parison swell behavior in extrusion blow molding of two commercial blow molding grade high density polyethylene resins. The capillary extrudate swell behavior of these resins were determined employing a capillary rheometer and a special thermostatting chamber. Parison swell behavior was determined using an Impco A13-R12 reciprocating screw blow molding machine in conjunction with cinematography and pinch-off. The experimental conditions under which capillary extrudate and parison swell data can be related are elucidated. Excellent agreement is found between the area swell values determined on the basis of capillary and parison swell experiments.