基于Moldflow的带金属嵌件电机齿轮盖注塑工艺优化

汽车雨刮电机齿轮盖采用注射成型技术,内嵌齿轮盖中的3根金属嵌件起到导通电流的作用。在注射成型过程中要确保各金属嵌件有一定的间距,以保证电机正常工作。为了验证设计的方案是否满足设计要求,采用模流分析软件Moldflow对齿轮盖注射成型过程进行分析,以准确掌握金属嵌件的变形情况。初始方案仿真计算结果显示,注射成型后用于接地的嵌件31在XY平面内变形量过大,可能存在搭接短路风险,不满足设计要求。针对嵌件31变形量过大的问题,分析可能的原因,从注射成型工艺参数和嵌件定位方案两方面进行优化。在满足设计要求前提下,通过正交试验法获得最优的模具温度和熔体温度,仿真结果表明:将注射成型工艺参数中的模具温度调整为80℃,熔体温度调整为265℃,嵌件31的变形量减少27.3%;将嵌件31的定位方式更换成穿孔式定位,可有效增加嵌件的定位可靠性。两种优化方案共同实施后,嵌件31的最大变形量从0.55 mm降低到0.05 mm,变形量减小90.9%,满足设计指标要求,提升了设计产品的可靠性。

基于Moldflow的制件注塑模设计与研究

利用Solidworks设计了一种简单的制件模型,基于此制件应用Moldflow进行了其成型所用模具工艺尺寸、浇注效果等的研究分析。通过分析研究,获取了XS-ZY-500型注射机为即定制件的成型设备;同时,得出制件成型压力为60-120 MPa,最大注射压力在130-150 MPa,保压压力为注射压力的50%-80%;确定了最佳浇口位置,并计得出浇注完成时间为12.5 s;发现六水道冷却时冷却液分布较均匀合理可行,宜于制件的加工成型。本文的研究可以为注塑模设计分析提供一定的理论依据与参考,具有一定的工程意义。

基于Moldflow的数码相机前盖塑料成型工艺研究

文章以某数码相机前盖塑件为研究对象,采用Moldflow和Pro/E软件进行塑料成型工艺研究。利用Moldflow软件完成相机前盖模流仿真,对填充时间和气穴分布、回路冷却介质温度和管壁温度、翘曲变形等参数进行分析,然后使用Pro/E软件进行模具结构设计。基于Moldflow的数码相机前盖塑料成型工艺研究为缩短塑件开发周期,提高制品质量,降低生产成本,增强企业竞争力提供参考。

基于Moldflow的按钮开关帽注塑模具设计

针对某种塑料按钮开关帽带有环形侧凹且帽体壁厚变化不均匀的结构特点,设计了一套带斜导柱侧抽芯机构的一模两腔模具。为改善塑件质量及解决塑件脱模问题,首先,结合Moldflow软件仿真确定了浇口位置和冷却系统,并对塑件的成型过程进行仿真分析,结果显示,塑料熔体充满型腔的时间短且两型腔的充型一致性好,同时,塑件的体积收缩率小且两型腔内的塑件体积变化均匀,型腔内气体的排出情况较好,气穴少,塑件产生的翘曲变形量在合理变形范围之内。其次,对模具结构进行设计,主要包括分型面、成型零件以及侧抽芯机构。由于塑件带有环形侧凹,型芯设计成组合式结构,并由大型芯、滑块和成型杆成型塑件的帽体部分,采用斜导柱侧抽芯机构实现塑件环形侧凹的成型并脱模。通过Moldflow软件分析和优化模具设计方案,可以加快模具的设计过程,提高塑件的成型质量。

基于Moldflow软件的短射法气辅成型数值分析及优化

使用数值成型对短射法气辅成型进行分析及优化。依据经验设计,对塑料扶手设计了3种进气方案,仿真结果表明:设置进气点位于浇口位置附近(方案3),气体虽未能充满所有部位熔体内部,但气道质量最佳。以方案3为基础,优化工艺参数,得到最佳方案为熔体注射量40%,气体延迟时间2.5 s,此时气体充满熔体内部,熔体壁厚减小且壁厚均匀,气道质量较好。以翘曲变形量为考察对象,运用正交试验法继续优化其他工艺参数,得到了最佳工艺方案为:熔体温度240℃,模具温度60℃,保压压力3 MPa,保压时间10 s。

基于Moldflow技术的塑料缸盖罩成型过程及模流数值分析

为解决传统人工鉴定塑料缸盖罩瑕疵产品的方式效率低下、成本高,以及传统的直流道数学模型不适用于弯流道的问题。对塑料制品的成型原理及过程进行了阐述,基于Moldflow对塑料缸盖罩成型过程进行了模流分析,建立了熔体在弯流道中流动的理论模型,采用Moldflow在不同的注射速率条件下进行数值模拟。实验结果表明:采用的塑料缸盖罩的生产工艺有制品内、外温差大,冷却不均的问题;塑料熔体在弯流道内的流动速度、剪切速率以及温度都随着注射速率的增大而增大,熔体粘度随着注射速率的增大而降低;熔体在流经弯流道时外侧与内侧熔体的指标差值较直流道更大。

Study on Numerical Simulation of Mold Filling and Heat Transfer in Die Casting Process

A 3-D mathematical model considering turbulence phenomena has been established based on a computational fluid dynamics technique, so called 3-D SOLA-VOF (Solution Algorithm-Volume of Fluid), to simulate the fluid flow of mold filling process of die casting. In addition, the mathematical model for simulating the heat transfer in die casting process has also been established. The computation program has been developed by the authors with the finite difference method (FDM) recently. As verification, the mold filling process of a S-shaped die casting has been simulated and the simulation results coincide with that of the benchmark test. Finally, as a practical application, the gating design of a motorcycle component was modified by the mold filling simulation and the dies design of another motorcycle component was optimized by the heat transfer simulation. All the optimized designs were verified by the production practice.

NUMERICAL SIMULATION OF CASTING'S MOLD FILLING PROCESS

Numerical simulation of casting＇s mold filling process is the main and the most important aspect of the foundry CAE technology. But it is time-consuming; it may take dozens of hours or several days. While with the development of computer hardware, numerical simulation of casting＇ s mold filling process has made rapid progress. The simulation results, therefore, have become more and more practical. This study tries to find some clues of the computational time of mold filling process. Firstly, this paper introduces mathematic model and the basic route of numerical simulation of casting＇s mold filling process. Then the computational time of mold filling process has been carefully studied, and some new and useful results have been gained from the study of the computational time. Finally, this paper has given some real applications of numerical simulation of casting＇s mold filling process.

Coating process of multi-material composite sand mold 3D printing

Sand mold 3 D printing technology is an advanced manufacturing technology which has great flexible manufacturing ability. A multi-material composite sand mold can control the temperature field of metallic parts during the pouring process, while the current sand mold 3 D printing technology can only fabricate a single material sand mold. The casting temperature field can not be adjusted by using single sand mold material with isotropous heat exchange ability during the pouring process. In this work, a kind of novel coating device was designed. Multi-material composite sand molds could be manufactured using the coating device according to the casting process demands of the final parts. The influences of curing agent content, coating velocity and scraper shape on compactness and surface roughness of the sand layer(silica sand and zircon sand) were studied. The shapes and sizes of transition intervals of two kinds of sand granules were also tested. The results show that, with the increase of the added volume of curing agent, the compactness of sand layer reduces and the surface roughness value rises. With the increase of the velocity of the coating device, the compactness of sand layer reduces and the surface roughness value rises similarly. In addition, the scraper with a dip angle of 72 degrees could increase the compactness value of the sand layer. The criteria of quality parmeters of the coating procedure are obtained. That is, the surface roughness(δ) of sand layer should be equal to or lesser than half of main size of the sand particles(Dm). The parameter H of the coating device which is the distance between the base of hopper and the surface of sand layer impacts the size of transition zone. The width of the transition zone is in direct proportion to the parameter H, qualitatively. Through the optimization of the coating device, high quality of multi-material sand layers can be obtained. This will provide a solution in manufacturing the multi-material composite sand mold.

Mold Filling Analysis in Vacuum Infusion Molding Process Based on a High-Permeable Medium

The objective of this paper is to understand the flow mechanism through visualization experiments and discuss theinfluence of process parameters on mold filling process. A 2D leakage flow model is developed to simulate the moldingprocess, and the simulation results show good agreement with experiments.

Vacuum Infusion Molding Process Part 1:VIMP Based on a High-Permeable Medium

The visualization experiments were carried out to investigate the permeability of the high permeable medium (HPM) and the roles of the peel ply and the HPM in the mold filling.The influence of process parameters on mold filling is discussed.Furthermore,the whole vacuum infusion molding process (VIMP) procedure is introduced in detail taking the manufacture of a model boat for example.

Characteristics and influence factors of mold filling process in permanent mold with a slot gating system

The main problems caused by improper gating are entrained aluminum oxide films and entrapped gas.In this study,the slot gating system is employed to improve mold filling behavior and therefore,to improve the quality of aluminum castings produced in permanent molds.An equipment as well as operation procedures for real-time X-ray radiography of molten aluminum flowing into permanent molds have been developed.Graphite molds transparent to X-rays are utilized which make it possible to observe the flow pattern through a number of vertically oriented gating systems.The investigation discovers that there are many influencing factors on the mold filling process.This paper focuses its research on some of the factors,such as the dimensions of the vertical riser and slot thickness,as well as roughness of the coating layer.The results indicate that molten metal can smoothly fill into casting cavity with a proper slot gating system.A bigger vertical riser,proper slot thickness and rougher coating can provide not only a better mold filling pattern,but also hot melt into the top of the cavity.A proper temperature gradient is obtainable,higher at the bottom and lower at the top of the casting cavity,which is in favor of feeding during casting solidification.

Relationship between Microcellular Foaming Injection Molding Process Parameters and Cell Size

In order to study the relationship between the main process parameters and the cell size, the mathematical model of cell growth of microcellular foaming injection process is built. Then numeric simulation is employed as experimental method, and the Taguchi method is used to analyze significance of effect of process parameters on the cell size. At last the process parameters are focused on melt temperature, injection time, mold temperature and pretidied volume. The significance order from big to small of the effect of each process parameters on cell size is melt temperature, pre-filled volume, injection time, and mold temperature. On the basis of above research, the effect of each process parameter on cell size is further researched. Appropriate reduction of the melt temperature and increase of the pre-filled volume can optimize the cell size effectively, while the effects of injection time and mold temperature on cell size are less significant.

Comparison of rheological analytic model with numerical simulation in powder injection molding filling process

Mathematical model of filling disk-shaped mold cavity in steady state was studied.And the mathematical model under vibration field was developed from the model in steady state.According to the model of filling disk-shaped mold cavity in steady state,the filling time,the distribution of velocity field and the pressure field were obtained.The analysis results from rheological analytic model were compared with the numerical simulation results using Moldflow software in the powder injection molding filling process.Through the comparison,it is found that it is unreasonable to neglect the influence of temperature when calculated the pressure changing with the time at the cavity gate,while it can be neglected in other situations such as calculating the distribution of the velocity fields.This provides a theoretical reference for the establishment of correct model both in steady state and under vibration force field in the future.

Intelligent Setting and Optimization of Process Parameters for Plastic Injection Molding

An intelligent model employing case-based reasoning（CBR） and fuzzy inference was constructed in terms to the system characteristics of plastic injection molding and considering the molding personnel＇s thought during the molding trial-runs. The model describes the complex process of injection molding with a view to the characters and advantages of CBR and fuzzy theory. And it can be used to determine the initial process parameters and optimize the process parameters on-line. The key implementation technologies of the model are described in detail, including determining the initial process parameters based on CBR, correcting defects, optimizing process parameters based on fuzzy inference, etc. A corresponding intelligent system was developed which is integrated with injection machine by communicating with the controller.

Vacuum Infusion Molding Process (Part 2 VIMP Based on Grooves)

The optimal parameters for flow grooves and supply grooves were determined by a series of experiments,and the influences of various molding conditions on the mold filling process were analyzed.Furthermore,the whole VIMP procedure based on grooves was introduced in detail taking the manufacture of a sandwich panel as an example.

Mensuration and simulation of mold filling process in semi-solid die-cast of aluminum alloy

To understand the flow trace of semi-solid slurry in mold cavity, some thermocouples were inserted in mold cavity, and the reaction timing of thermocouples showed the arrival of fluid. The filling time and rate were estimated by comparison between the experiment and calculation. The introduction of computer simulation technique based on ADSTEFAN was to predict injectionforming process and to prevent defects during trial manufacture of various parts. By comparing the formed appearance of parts in experiment and in simulation, and observing the relationship between internal defects inspected by X-ray or microscope and the flow field obtained in simulation, it was indicated that both have quite good agreement in simulation and experiment. Right predictions for cast defects resulted from mold rilling can be carried out and proper direction was also proposed. The realization of numerical visualization for filling process during semi-solid die-cast process will play an important role in optimizing technology plan.

Virtual Mold Technique in Thermal Stress Analysis during Casting Process

It is important to analyse the casting product and the mold at the same time considering thermal contraction of the casting and thermal expansion of the mold. The analysis considering contact of the casting and the mold induces the precise prediction of stress distribution and the defect such as hot tearing. But it is difficult to generate FEM mesh for the interface of the casting and the mold. Moreover the mesh for the mold domain spends lots of computational time and memory for the analysis due to a number of meshes. Consequently we proposed the virtual mold technique which only uses mesh of the casting part for thermal stress analysis in casting process. The spring bar element in virtual mold technique is used to consider the contact of the casting and the mold. In general, a volume of the mold is much bigger than that of casting part, so the proposed technique decreases the number of mesh and saves the computational memory and time greatly. In this study, the proposed technique was verified by the comparison with the traditional contact technique on a specimen. And the proposed technique gave satisfactory results.

Research on the Forming Mechanism of Micro/Nano Features during the Cast Molding Process

Cast molding process has provided a reliable, simple and cost-effective way to fabricate micro structures since decades ago. In order to obtain structures with fine, dense and deep nano-size features by cast molding, it is necessary to study the forming mechanism in the process. In this paper, based on major steps of cast molding, filling models of liquid are established and solved; and the forming mechanism of liquid is revealed. Moreover, the scale effect between the liquid and the cavity on the filling velocity of liquid is studied.It is also interesting to find out that the wettability of liquid on the cavity may be changed from wetting to dewetting depends on the pressure difference. Finally, we experimentally verify some of our modeling results on the flowing and filling state of the liquid during the cast molding process.

OPTIMIZATION OF INJECTION MOLDING PROCESS BASED ON NUMERICAL SIMULATION AND BP NEURAL NETWORKS

Plastic injection molding is a very complex process and its process planning has a direct influence on product quality and production efficiency. This paper studied the optimization of injection molding process by combining the numerical simulation with back-propagation(BP) networks. The BP networks are trained by the results of numerical simulation. The trained BP networks may:(1) shorten time for process planning;(2) optimize process parameters;(3) be employed in on-line quality control;(4) be integrated with knowledge-based system(KBS) and case-based reasoning(CBR) to make intelligent process planning of injection molding.