基于充填时间等值线分布图的浇口位置优化

以某汽车后保险杠为例,阐述了基于充填时间等值线确定浇口位置和数量的方法。用该方法设计了优化方案,通过对其模拟结果的分析和试模验证,取得了较好的效果。对于大型塑件多浇口顺序注射成型,该方法简单、快捷、有效,为确定大型塑件浇口的位置和数量提供了一种新的途径。     

Moldflow在仪表板右盖板支架注塑模设计中的应用

以汽车仪表板右盖板为例,应用Moldflow软件对注塑件进行模拟分析。通过对单浇口和双浇口的对比,综合分析各种因素对注射成型的影响,确定了最佳浇口位置和浇口数目,保证了模具设计的合理性,优化了模具设计方案,降低了生产成本。     

Moldflow在注塑模浇口优化设计中的应用

针对注塑模具中合理的浇口位置和数目在塑料制品设计中的重要性,以汽车的副仪表板装饰盖零件为例,借助模拟分析软件Moldflow对其浇口位置及数目进行计算机模拟分析.通过对单浇口和双浇口的对比,综合分析各种因素对注塑成型的影响,确定最佳浇口位置和浇口数目,优化模具浇口设计,并具有显著的经济效益.     

基于Moldflow软件的注塑制件浇口优化设计

针对注塑模具中合理的浇口位置和尺寸在塑料制品设计中的重要性,结合注射成型中塑料熔体在型腔内充填模拟基本理论,提出了在模具设计中采用注射模CAE技术对塑件浇口位置及大小进行优化设计的思想。通过实例,介绍了借助模拟分析软件MoldFlow对其浇口位置及尺寸进行计算机模拟分析的过程,优化了模具的浇口位置尺寸以及注射成型工艺参数,从而获得了高预测质量的产品,降低了生产成本,提高了模具企业的市场竞争力。     

Moldflow在注塑模浇口优化设计中的应用

以塑料窗限位块为例,利用Moldflow软件对塑件的最佳浇口位置进行分析,并对点浇口和侧浇口进行了比较分析,得出塑料熔体在充填过程中的充填时间、注射压力及塑件在成型过程中可能产生的熔接痕、气穴及翘曲变形等结果,达到了对浇口优化设计的目的,从而加快了模具设计的效率,提高了塑件的质量。     

基于MPI的无人机固定翼浇口优化设计

针对注塑模中合理的浇口位置在塑料成型过程中的重要地位,以无人机固定翼为研究对象,运用MPI软件对塑件的最佳浇口位置进行分析,并对3种不同的点浇口方案和3种不同的侧浇口方案进行了对比分析,得出不同方案下的充填时间、熔接痕、气穴、平均注射速度对塑件质量的影响程度,从而确定了最终的浇口位置,实现了浇口优化设计的目的,提高了塑件成品质量,为注塑模的优化设计提供借鉴。     

Moldflow在手机前盖注塑模浇口设计中的应用

针对注塑模具中合理的浇口位置在塑料制品成型中的重要性,结合注射成型中塑料熔体在型腔内充填模拟基本理论,介绍了专业模流分析软件Moldflow在手机前盖注塑模具浇口位置设计中的应用,从产品的填充时间、充模压力、气穴和熔接痕等方面对不同的浇口设计方案进行对比,从而获得最佳的浇口位置。     

基于充填分析的注塑模浇口位置优化设计研究

论述浇口位置与模具设计、制品设计、工艺条件的关系，注塑模浇口设计的准则，以及在模具设计中合理的浇口位置应满足的条件，利用充填分析技术，结合实例，确定了合理的流道设计。通过CAE技术在具体的产品设计过程中的应用说明充填分析技术在优化浇口位置设计中的作用。     

基于Moldflow的开关面板支架浇口优化设计

注射模具设计中合理的浇口位置和数量十分重要,以开关面板支架为例,借助Moldflow软件对其浇口的数量和位置进行模拟分析。通过3种方案流动分析的比较,预测可能出现气穴、熔接痕的位置,从而优化浇口数量和位置、缩短模具设计制造和产品研发周期。     

热流道时序阀浇口消除熔接痕研究

通过研究注塑件熔接痕的形成机理,阐述了热流道时序阀浇口对熔接痕的控制原理.以某轿车后保险杠注射成型为例,用CAE软件对充填过程进行模拟.结果表明,采用阀浇口时序控制技术不仅能很好地控制保险杠中的熔接痕,而且还能优化其它生产工艺,对保险杠的生产具有实际意义.     

基于Moldflow的直板手机前盖浇口位置优化设计

对直板手机前盖的结构进行分析,选择其上表面为浇口位置,采用点浇11＇形式进料。拟定两点对角浇口、三点浇口、四点浇口进料方案,利用Moldflow软件进行充填分析。通过对比分析选定四点浇口进料。在塑件上加载流道后对四点浇口位置进行议调,将充填结束时充填末端压力差控制在10MPa以内。此位置即为模具设计时的浇口位置。     

基于Moldflow软件的不同浇注系统下手机后盖填充结果分析

利用Moldflow软件,对手机后盖注塑过程中的熔体流动情况进行模拟。通过设定不同的浇口数量,分析填充时间、流动前沿温度、气穴位置、熔接痕数量和位置的变化对充填结果的影响,从而优化设计方案,最终获得合适的浇注系统,为模具设计提供依据。     

Optimization of filling process in RTM using a genetic algorithm and experimental design method

In the resin transfer molding (RTM) process, preplaced fiber mat is set up in a mold and thermoset resin is injected into the mold. An important issue in RTM processing is minimizing the cycle time without sacrificing part quality or increasing the cost. In this study, a numerical simulation and optimization process for the filling stage was conducted in order to determine the optimum gate locations. The control volume finite element method (CVFEM), modeled as a 2‐dimensional flow, was used in this numerical analysis along with the coordinate transformation method to analyze a complex 3‐dimensional structure. Experiments were performed to monitor the flow front to validate the simulation results. The results of the numerical simulation corresponded with that of the experimental quite well for every single, simultaneous, and sequential injection procedure. The optimization analysis of the sequential injection procedure was performed to minimize fill time. The complex geometry of an automobile bumper core was chosen. A genetic algorithm was used to determine the optimum gate locations in the 3‐step sequential injection case. Taguchi's experimental design method was also used for determining the pressure contribution of each gate. These results could provide the information on the optimum gate locations and injection pressure in each injection step and predict the filling time and flow front.     

Algorithm to optimise number of gates and locations in an injection mould

Abstract

Determination of the number of gates and their locations is an important issue in injection mould design. An optimisation strategy based on a genetic algorithm was developed to deal with this problem. The objective function was expressed as the sum of the injection pressure at the end of filling stage and a penalty term, and the constraint was to limit the injection pressure to remain below a reference value. The coordinates of the gates were chosen as design variables. The penalty term of the objective function was to reduce the number of gates. The number of gates was modified according to their distance when a mould filling process was simulated to evaluate the required injection pressure and the objective function. Through optimisation, the minimum number of gates which satisfies the limit of injection pressure and their optimum locations leading to balanced flow could be obtained simultaneously. Examples are given to demonstrate the effectiveness of the proposed scheme.     

Resin transfer molding process optimization using numerical simulation and design of experiments approach

The art of resin transfer molding (RTM) process optimization requires a clear understanding of how the process performance is affected by variations in some important process parameters. In this paper, maximum pressure and mold filling time of the RTM process are considered as characteristics of the process performance to evaluate the process design. The five process parameters taken into consideration are flow rate, fiber volume fraction, number of gates, gate location, and number of vents. An integrated methodology was proposed to investigate the effects of process prameters on maximum pressure and mold filling time and to find the optimum processing conditions. The method combines numerical simulation and design of experiments (DOE) approach and is applied to process design for a cylindrical composite part. Using RTM simulation, a series of numerical experiments were conducted to predict maximum pressure and mold filling time of the RTM process. A half‐fractional factorial design was conducted to identify the significant factors in the RTM process. Furthermore, the empirical models and sensitivity coefficients for maximum pressure and mold filling time were developed. Comparatively close agreements were found among the empirical approximations, numerical simulations, and actual experiments. These results were further utilized to find the optimal processing conditions for the example part.     

基于CAE技术的CRT显示器后壳注塑模设计

基于CAE技术进行了CRT显示器后壳的注塑模设计。通过浇口位置分析确定了浇注系统的位置,通过成型窗口分析确定了成型工艺参数;通过流动分析查看了充填效果、最大注射压力、锁模力、熔接痕位置以及气穴位置;最后基于CAE分析结果进行了模具的总体结构设计,并阐述了其开合模动作过程。     

Moldflow在注塑模浇口优化设计中的应用

针对合理的浇口位置及数量在塑料模具设计中的重要性,借助专业模拟分析软件Moldflow对模具浇口进行了优化设计。以相机盖为实例,对其浇口位置和数量进行计算机模拟分析,根据结果进行熔接痕和气穴情况的分析,优化了模具浇口设计,从而获得高质量的产品,降低了生产成本,缩短了产品开发周期。     

基于Moldflow的洗衣机控制面板注射模浇口位置优化设计

针对浇口位置及数量对于注塑模塑料制品设计中的重要性,运用Moldflow软件对不同浇口位置及浇口数量的熔接痕、流动前沿处温度、翘曲分析进行分析比较,确定浇口位置的优化分案,提高模具的设计效率。     

塑料注塑成型浇口位置优化

塑料注塑成型可以制作大量具有高精度和复杂型腔形状的制件,其中注塑模浇口位置的设定决定了聚合物流动方向和流动平衡性,产品质量可以通过浇口位置的优化得到显著提高.通过对导致制品翘曲和影响材料性能的主要因素进行定量分析构造了浇口位置优化问题,结合遗传算法和数值模拟技术对优化问题求解,得到最优浇口位置设计.算例证明该方法不仅适用于单浇口位置优化,也适用于多浇口位置优化.     

CAE技术在数码相机注塑模设计中的应用

为缩短产品开发周期,降低成本及提高产品质量,CAE技术越来越多地运用在注塑成型的模具设计中。以数码相机的外壳为例,通过比较分析结果来确定制品注塑成型中的浇口位置和数量,并对浇注系统进行了优化。选择出充模均匀、熔接痕不明显和气穴位置集中的成型方案,为探讨注塑成型应用CAE的方法提供借鉴。