TK-3型操作台面板配件模具的浇注设计优化

利用CAE技术仿真装备制造过程中的模具成型工艺,对TK-3型操作台面板配件的注塑模具生产进行研究,模拟和分析不同的浇注方案,根据仿真结果分析对比各方案的参数。进一步优化成型模具,调整工艺参数,为模具制造企业提供技术支持和设计方案。     

注塑工艺优化设计

从预热温度、料筒温度、模具温度、压力油温度、锁模力、模具填充速度、模具填充压力、保压压力、保压时间、螺杆转速、卸压、背压参数设计等方面讨论了注塑工艺参数优化设计的方法,并分析了注塑成型的常见问题及质量缺陷。     

基于Moldflow的机箱壳注射模设计

通过对机箱壳的结构和工艺的分析,合理确定了模具抽芯机构的结构,利用UG软件进行注塑模具结构设计.同时应用Moldflow确定了模具的最佳浇口位置,并对制件进行填充、冷却、保压和翘曲分析,预测塑件质量.通过模拟结果找出缺陷产生的原因,改善工艺参数.     

塑料模具设计及工艺分析

模具是塑料成型加工工艺的一种重要设备,而浇注系统又是注塑模具结构设计中的关键环节,是熔融态塑料进入模具型腔的必经通道。结合注塑模具在机械、电子、航空航天和日常生活等领域的广泛应用,展望了其广阔的发展前景,通过介绍注塑模具在设备生产中的重要性,以及注塑模具浇注系统的结构与设计,综合分析了注塑模具的工艺性,包括温度变化、成型压力、成型时间以及塑件成型不良的原因。     

基于遗传算法和AMI二次开发的注塑模具流道系统优化设计

针对注塑模具流道系统的特殊性,将数值模拟和遗传算法相结合,运用遗传算法作为全局性搜索工具,利用AMI软件二次开发技术在注塑模拟分析上的能力,搜索最优的流道几何参数,并求得符合熔接线生成位置、翘曲量和用料量要求的最佳优化工艺方案.     

基于流动模拟技术的注塑成型工艺参数优化

利用Pro／E建立了15寸电脑显示器前壳简化3D模型，并用Mold Plastics Insight(MPL)软件对该制品的注塑成型过程进行流动、保压、冷却和翘曲模拟分析，优化工艺参数。然后，针对塑件材料的注射温度和模具温度的选用范围进行分组模拟，得到几组较优的工艺参数组合，并以翘曲变形量为参考标准，获得合理的工艺参数组合。     

正交试验设计的注塑成型工艺参数多目标优化设计

结合正交试验设计和注塑成型模拟软件Moldflow,对不同工艺条件下的注塑成型过程进行模拟分析,并运用模糊数学中的综合评判法,对塑件成型后的体积收缩率变化、表面缩痕指数和最大翘曲变形量三个目标值进行综合评判,得到综合评分.通过对综合评分的极差分析,确定模具温度、熔体温度、注塑时间、保压参数、冷却时间等工艺参数对综合评分的影响程度,并绘制因素水平影响趋势图,分析得出最优的注塑工艺参数组合方案,并对该工艺组合方案进行模拟验证.     

基于Moldflow的铅酸蓄电池盖注塑优化

采用Moldflow软件对蓄电池盖的注塑成型过程进行了仿真模拟,在此基础上对模具的浇注系统和冷却系统进行了优化设计.然后,运用正交设计的方法分析了注塑工艺参数对蓄电池盖的注塑成型的影响,提出了更适合于阻燃材料的注塑工艺条件.     

基于UG的手机面板注塑模设计

以手机面板为例,对其结构及其注塑工艺进行了分析.在UG运行环境下,运用MoldWizard模块,对手机面板的模具进行了设计准备阶段、分型阶段、加载标准件阶段和建立冷却与浇注系统阶段的设计,并介绍了设计过程中的原则.     

基于碳纤维增强塑料的注塑成型过程分析与研究

以汽车内储物箱盖的成型过程为实验对象,主要研究了碳纤维复合增强塑料在注塑成型过程中模具温度、熔体温度、注射时间、V/P转换体积对注塑成型的充填时间的参数分析,还分析了成型过程中各参数对材料的机械性能的影响。使用控制变量法进行参数取值,分析了注塑时间与填充时间的变化趋势,零件温度与模具温度的变化趋势;研究了模具温度、熔体温度、注射时间、冷却温度等工艺参数对纤维取向的影响。研究结果取得一些合理的工艺参数和注塑成型过程质量的影响规律。     

薄壁注塑件保压工艺的CAE分析及优化

保压阶段是注塑成型工艺的重要环节,保压工艺设置不恰当就会引起模腔中的压力分布不均匀,引起制件的翘曲变形、尺寸精度下降等严重的质量问题。介绍了薄壁注塑成型的定义,分析了保压工艺对薄壁制件成型的影响以及常见的保压方式对模腔压力分布的影响,利用Moldflow软件进行数值模拟,调整保压曲线,均衡模腔中的压力分布,并进行了注塑实验验证,结果表明：保压工艺对注塑件的翘曲变形有着显著的影响,与恒定保压相比,先恒压后线性递减的保压方式可获得较均匀的模腔压力分布,制件的体积收缩较均匀,制件的成型质量较好。     

基于神经网络和遗传算法的薄壳件注塑成型工艺参数优化

建立基于神经网络和遗传算法并结合正交试验的薄壳件注塑成型工艺参数优化系统.正交试验法用来设计神经网络的训练样本,人工神经网络有效创建翘曲预测模型;遗传算法完成对影响薄壳塑件翘曲变形的工艺参数(模具温度、注射温度、注射压力、保压时间、保压压力和冷却时间等)的优化,并计算出其优化值.按该参数进行试验,效果良好,可以有效地减小薄壳塑件翘曲变形,其试验数值与计算数值基本相符,说明所提出的方法是可行的.     

Optimization of injection molding process parameters using integrated artificial neural network model and expected improvement function method

In this study, an adaptive optimization method based on artificial neural network model is proposed to optimize the injection molding process. The optimization process aims at minimizing the warpage of the injection molding parts in which process parameters are design variables. Moldflow Plastic Insight software is used to analyze the warpage of the injection molding parts. The mold temperature, melt temperature, injection time, packing pressure, packing time, and cooling time are regarded as process parameters. A combination of artificial neural network and design of experiment (DOE) method is used to build an approximate function relationship between warpage and the process parameters, replacing the expensive simulation analysis in the optimization iterations. The adaptive process is implemented by expected improvement which is an infilling sampling criterion. Although the DOE size is small, this criterion can balance local and global search and tend to the global optimal solution. As examples, a cellular phone cover and a scanner are investigated. The results show that the proposed adaptive optimization method can effectively reduce the warpage of the injection molding parts.     

滑雪板底板注射模设计

介绍在卧式注射机上生产滑雪板底板,底板中间层的不锈钢片采用嵌件方式进行生产,一方面保证了产品的质量,另一方面减少了装配,保证了产品的外观。金属嵌件注射模的生产一般在立式注射机上进行,较少使用卧式注射机,如何设计在卧式注射机上生产的金属嵌件注射模,要考虑的问题很多,就不锈钢嵌件在模具中的定位问题、注射成型工艺、顶出结构系统等注射生产中涉及到的内容进行论述交流。     

An experimental work on the effect of injection molding parameters on the cavity pressure and product weight

The injection molding process is one of the most efficient processes where mass production through automation is feasible and products with complex geometry at low cost are easily attained. In this study, an experimental work is performed on the effect of injection molding parameters on the polymer pressure inside the mold cavity. Also, the effect of these parameters on the final products' weight is studied. Different process parameters of the injection molding are considered during the experimental work (packing pressure, packing time, injection pressure, injection time, and injection temperature). Two polymer materials are used during the experimental work (polystyrene (PS) and low-density polyethylene (LDPE)). The mold cavity has a cuboidal form with two different thicknesses. The cavity pressure is measured with time by using pressure Kistler sensor at different injection molding cycles. The results indicate that the cavity pressure and product weight increase with an increase in the packing pressure, packing time, and injection pressure for all the analyzed polymers. They also show that the increase of the filling time decreases the cavity pressure and decreases the product weight in case of PS and LDPE. The results show that the increase of packing pressure by 100 % increases the cavity pressure 50 % in the case of PS and 70 % in the case of LDPE. They also show that the increase of injection pressure by 60 % increases the cavity pressure 36 % in case of PS and 90 % in case of LDPE at an injection temperature of 220 °C. The results indicate that process parameters have an effect on the product weight for LDPE greater than PS. The results obtained specify well the developing of the cavity pressure inside the mold cavity during the injection molding cycles.     

A nondestructive online method for monitoring the injection molding process by collecting and analyzing machine running data

Nondestructive online monitoring of injection molding processes is of great importance. However, almost all prior research has focused on monitoring polymers in molds and damaging the molds. Injection molding machines are the most important type of equipment for producing polymeric products, and abundant information about actual polymer processing conditions can be obtained from data collected from operating machines. In this paper, we propose a nondestructive online method for monitoring injection molding processes by collecting and analyzing signals from injection molding machines. Electrical sensors installed in the injection molding machine, not in the mold, are used to collect physical signals. A multimedia timer technique and a multithread method are adopted for real-time large-capacity data collection. An algorithm automatically identifies the different stages of the molding process for signal analysis. Moreover, ultrasonic monitoring technology is integrated to measure the cavity pressures. Experimental results show that our nondestructive method can continuously monitor the injection molding process in real time and automatically identify the different stages of the molding process. The packing parameters, including the filling-to-packing switchover point and the packing time, can be optimized based on these data. Furthermore, the ultrasonic reflection coefficient and the actual cavity pressure have similar trends, and our technique for measuring the cavity pressure is accurate and effective.     

二板式注塑机移模唧筒的开发与研究

通过对二板机与三板机移模方式进行比较,论述了二板机移模唧筒的结构设计过程,并对结构设计中的重点与难点进行了分析。     

注塑成型填充工艺的CAE分析及应用实施

充填保压阶段是注塑成型过程的两个重要阶段,对制品质量有着很大的影响。本文以一汽车音响框架类产品为例,根据实际注塑机情况,采用Moldflow/MPI软件分析塑料熔体的充填保压阶段,从充填时间、温度、及外观熔接线等结果进行阐述,预估合理的成型工艺参数,并进行实际试模,达到合理注塑,大大缩短了找到所需成型工艺条件的时间,显示了CAE技术在注塑成型过程中的突出作用。     

精密薄壳塑件注射模设计

分析了学习电脑电池盒盖薄壳塑件的成型工艺,并设计了成型该塑件的注射模.模具结构紧凑、动作可靠、操作简单、生产效率高,有效地解决了薄壳塑件成型中易起皱易翘曲的难题,为同类塑件的成型提供了一定的参考.     

Influence of molding conditions on the shrinkage and roundness of injection molded parts

During the plastic injection molding process, one of the biggest challenges is shrinkage which deteriorates the quality of produced parts. To control and reduce this defect, the essential way is to perfectly determine the variables like molding parameters. In this study, the effects of molding parameters including packing pressure, melt temperature, and cooling time on shrinkage and roundness have been investigated experimentally. Also, the relationship among initial molding parameters, the cavity pressure, and mold temperature was investigated. The results of this experimental study and analysis fulfill various requirements of plastic injection molding and clarify the relationship between molding conditions and the overall quality of produced parts. This study illustrated that packing pressure and melt temperature are dominant factors which determine the quality of parts.