基于响应面法的齿轮注塑模冷却系统优化

以塑料齿轮注塑模的冷却水道为研究对象,选取水道孔径、水孔间距及水孔至模壁距离3个冷却水道设计参数为试验变量,以模壁温差为质量目标,运用响应面法Box-Behnken设计试验方案,利用Design-Expert软件分析试验结果,构建出试验变量与质量目标之间的二阶响应面模型,并对其进行迭代优化,得出模壁温差最小时的冷却水道设计参数组合。模拟验证表明,响应面法优化效果较好,能够显著降低模壁温差。在3个设计参数中,水孔间距和水孔至模壁距离对模壁温差的影响较显著。     

注塑模冷却水道工艺参数优化

结合响应曲面法和粒子群优化算法研究了注塑模冷却水道的工艺参数优化,使塑料件在一定的模壁温差下,冷却时间最短。将手机后盖的3D模型导入Moldflow中进行网格划分并对其冷却过程进行模拟,结合BoxBehnken试验设计和响应曲面法得到冷却水道工艺参数与冷却时间和模壁温差之间拟合的回归方程,再通过粒子群优化算法,得到最佳冷却水道工艺参数组合即冷却水道距模具型腔表面的距离为8.851 3 mm、冷却水道直径为12 mm,冷却水道之间的距离为11.054 2 mm,通过对优化的组合参数进行模拟,验证了其可行性。     

基于3D打印的随形冷却注塑模具传热因素研究

对比了传统冷却技术与随形冷却技术在注塑模具冷却过程的差异性,详细分析了模具冷却过程的传热,对熔体的冷却时间、模具型腔壁面温度和温度均匀性的影响。得出了冷却水道直径、冷却水道中心距模具壁面的距离、两相邻冷却水道距离这三个因素对于模具冷却起到主要影响。最后通过Moldflow软件对简化模型进行模拟实验,确定了三个影响因素对模具型腔壁面温度的影响。     

基于鼠标的随形冷却注塑模多目标优化研究

为提高注塑模随形冷却水道的冷却效率和模温均匀性,提出了一套随形冷却水道多目标优化设计的方法。该方法通过正交法和三维响应面法对影响模具温度变化的因素进行分析。利用响应面法构建随形冷却水道的设计变量与冷却效率和模具型腔表面温度分布均匀性的函数关系,求解出最佳的设计参数。     

基于Moldflow电机外壳注塑成型质量分析

电机外壳一般通过注塑成型制得，对电机起保护作用。文章通过Moldflow软件对制件成型过程进行模流分析，以模具温度、熔体温度、保压压力以及冷却时间为响应变量，以制件的翘曲变形量为响应目标建立响应面模型，通过回归方程以及方差分析对制件的成型工艺参数进行优化。结果表明：当模具温度为70℃、熔体温度为220℃、保压压力为120 MPa、冷却时间为15 s时，制件的翘曲变形量最小为2.386 0 mm，较未优化前降低了1.732 3 mm。各因素对制件翘曲变形量的影响依次为：冷却时间>保压压力>熔体温度>模具温度。通过响应面法能够有效降低制件的翘曲变形量，为类似翘曲变形工艺参数优化提供参考。     

热风熔融废旧塑料造粒机熔融室温度场分析

针对熔融室温度分布存在较大温差现象,用Fluent仿真软件对热风熔融废旧塑料造粒机熔融室进行传热模拟。通过比较不同进风口直径、不同进风口位置及不同进风口风速的熔融室温度分布,分析进风口直径、进风口位置、进风口风速对熔融室温度分布的影响,并采用正交试验找出最佳参数组和分辨主次因素。结果表明,使用控制变量法,熔融室箱体内温度随着进风口直径的增大而显著提高,随进风口位置变化有不同变化,即进风口与主轴距离过小或过大均使熔融室温度分布不均匀,唯有处于中间区域,熔融室温度分布更加均匀,随进风口速度的增大而无明显变化;通过正交试验得到最佳参数组为进风口直径120 mm、进风口距中心150 mm、进风口风速2 m/s、熔融室温度差47.7 ℃;为使熔融室箱体内不出现较大温差,使用进风口直径为120 mm、进风口距中心为150 mm的优化方案。     

基于三维稳态分析的注射模冷却系统

塑料注射模冷却系统的设计直接影响到塑件的质量和生产效率,以三维稳态冷却分析为基础,通过设置不同的冷却系统工艺参数(冷却液温度、冷却水道的多少和冷却水道的直径等),研究对冷却时间的影响.     

基于DOE、RSM及PSO的大尺寸板类塑件的翘曲优化

首先通过实验设计（DOE）分析得出对柜式空调面板翘曲变形影响较大的工艺参数为熔体温度、模具温度、保压压力和保压时间。其次,以这4个工艺参数为实验变量,以面板的翘曲量为目标,采用响应面法（RSM）构建出两者之间的二阶响应面模型,并优化出翘曲量最小的工艺参数,翘曲量预测误差率仅为2.486 %,模型精度较高。最后,运用粒子群算法（PSO）对二阶响应面模型进行迭代寻优,得出最优工艺参数。验证结果表明,PSO优化误差为4.882 %,相比于RSM优化,翘曲量实际值由5.217 mm降为3.459 mm,降低了38.367 %,优化效果较好。     

基于响应面法的汽车轮眉注塑工艺优化

以汽车轮眉为研究对象,选取模具温度、熔体温度、保压压力以及保压时间4个工艺参数作为实验变量,以轮眉的最小翘曲变形作为优化目标,基于响应面法的中心复合设计方法,结合CAE仿真模拟技术,建立了轮眉翘曲变形同工艺参数之间的响应模型,通过方差分析研究了工艺参数及其交互作用对优化目标的影响。通过软件优化确定了最优工艺参数组合,实验结果表明最大翘曲变形量从6.311 mm降至3.367 mm。     

基于响应面法的水辅助共注塑管件的工艺参数优化

以最小总壁厚及内层壁厚为目标,基于响应面法（RSM）对成型工艺参数进行优化。由单因素实验确定总壁厚和内层熔体壁厚的主要影响因素;由Plackett Burman试验确定关键因素;再通过Box Behnken试验设计和响应面法分析与优化,获得最小总壁厚和内层熔体壁厚的工艺条件为：注水压力7.5 MPa,注水延迟时间2s,内层熔体温度215℃;在优化条件下,利用Design-expert模型预测总壁厚和内层壁厚与实验结果吻合较好,表明响应面法能够优化水辅助共注塑管件最小壁厚的工艺参数。     

树脂基复合材料成型工艺研究进展

主要综述了树脂基复合材料的几种成型工艺,包括RTM、VARTM、CRTM、LRTM、RFI、VARI、SCRIMP、SRIM、TERM,各自的发展现状、成型原理、特点等.     

Potential of Polyvinylidene Fluoride/Carbon Nanotube Composite in Energy,Electronics, and Membrane Technology: An Overview

Polyvinylidene fluoride (PVDF) is a semicrystalline thermoplastic and electroactive polymer with piezoelectric and pyroelectric properties, thermal stability, elasticity, and chemical resistance. PVDF exits in five different phases (α, β, δ, γ, and ε-phase). Unique properties of this polymer enhances its use in chemical, biomedical, and electronic industries such as supercapacitors, transducers, actuators, and batteries. Carbon nanotube (CNT) is used as reinforcement to exploit full potential of PVDF in energy, electronics, and membrane technology. The nanofiller affects morphology, piezoelectric, pyroelectric, electrical, dielectric, thermal, and mechanical properties of PVDF-based nanocomposite. CNT content and chemical modification influence properties as well as application of PVDF.     

A review of ZrO2 nanoparticles applications and recent advancements

The many branches of nanoscience have made significant strides and advancements during the past ten years, as has the entire scientific community. Zirconia nanoparticles have several uses as adsorbents, nanosensors, nanocatalysts, and other types of nanomaterials. Their outstanding biomedical uses in dental care and drug delivery, as well as their intriguing biological characteristics, such as their anti-cancer, anti-microbial, and antioxidant activity, have further encouraged researchers to investigate their physicochemical properties using various synthetic pathways. Due to the popularity of zirconia-based nanomaterials, the current research comprehensively examines several synthesis techniques and their effects on the composition, dimensions, forms, and morphologies of these nanomaterials. In general, there are two methods for creating zirconia nanoparticles: chemical synthesis, which uses hydrothermal, solvothermal, sol-gel, microwave, solution combustion, and co-precipitation processes; and a greener method, which uses bacteria, fungi, and plant components. The aforementioned techniques have been evaluated in the present review for achieving particular phases and shapes. A thorough analysis of zirconia-based nanomaterial's uses is also included in the review. Furthermore, comparisons with their equivalent composites for various applications as well as the influence of particular phases and morphologies have been added. The final portion includes the summary, future outlook, and potential application.     

Graphene-Based Sensors for the Detection of Bioactive Compounds: A Review

Over the last years, different nanomaterials have been investigated to design highly selective and sensitive sensors, reaching nano/picomolar concentrations of biomolecules, which is crucial for medical sciences and the healthcare industry in order to assess physiological and metabolic parameters. The discovery of graphene (G) has unexpectedly impulsed research on developing cost-effective electrode materials owed to its unique physical and chemical properties, including high specific surface area, elevated carrier mobility, exceptional electrical and thermal conductivity, strong stiffness and strength combined with flexibility and optical transparency. G and its derivatives, including graphene oxide (GO) and reduced graphene oxide (rGO), are becoming an important class of nanomaterials in the area of optical and electrochemical sensors. The presence of oxygenated functional groups makes GO nanosheets amphiphilic, facilitating chemical functionalization. G-based nanomaterials can be easily combined with different types of inorganic nanoparticles, including metals and metal oxides, quantum dots, organic polymers, and biomolecules, to yield a wide range of nanocomposites with enhanced sensitivity for sensor applications. This review provides an overview of recent research on G-based nanocomposites for the detection of bioactive compounds, providing insights on the unique advantages offered by G and its derivatives. Their synthesis process, functionalization routes, and main properties are summarized, and the main challenges are also discussed. The antioxidants selected for this review are melatonin, gallic acid, tannic acid, resveratrol, oleuropein, hydroxytyrosol, tocopherol, ascorbic acid, and curcumin. They were chosen owed to their beneficial properties for human health, including antibiotic, antiviral, cardiovascular protector, anticancer, anti-inflammatory, cytoprotective, neuroprotective, antiageing, antidegenerative, and antiallergic capacity. The sensitivity and selectivity of G-based electrochemical and fluorescent sensors are also examined. Finally, the future outlook for the development of G-based sensors for this type of biocompounds is outlined.     

Electrospinning jets and polymer nanofibers

In electrospinning, polymer nanofibers are formed by the creation and elongation of an electrified fluid jet. The path of the jet is from a fluid surface that is often, but not necessarily constrained by an orifice, through a straight segment of a tapering cone, then through a series of successively smaller electrically driven bending coils, with each bending coil having turns of increasing radius, and finally solidifying into a continuous thin fiber. Control of the process produces fibers with nanometer scale diameters, along with various cross-sectional shapes, beads, branches and buckling coils or zigzags. Additions to the fluid being spun, such as chemical reagents, other polymers, dispersed particles, proteins, and viable cells, resulted in the inclusion of the added material along the nanofibers. Post-treatments of nanofibers, by conglutination, by vapor coating, by chemical treatment of the surfaces, and by thermal processing, broaden the usefulness of nanofibers.     

2010～2011年世界塑料工业进展

收集了2010年7月～2011年6月世界塑料工业的相关资料,介绍了2010～2011年世界塑料工业的发展情况,提供了世界塑料产量、消费量及全球各类树脂的需求量及产能情况。按通用热塑性树脂(聚乙烯、聚丙烯、聚氯乙烯、聚苯乙烯、ABS树脂),工程塑料(尼龙、聚碳酸酯、聚甲醛、热塑性聚酯、聚苯醚),特种工程塑料(聚苯硫醚、液晶聚合物、聚醚醚酮),通用热固性树脂(酚醛、不饱和聚酯树脂、环氧树脂、聚氨酯)不同品种的顺序,对树脂的产量、消费量、供需状况及合成工艺、产品应用开发、树脂品种的延伸及应用的进一步扩展等技术作了详细介绍。     

Maternal Reproductive Toxicity of Some Essential Oils and Their Constituents

Even though several plants can improve the female reproductive function, the use of herbs, herbal preparations, or essential oils during pregnancy is questionable. This review is focused on the effects of some essential oils and their constituents on the female reproductive system during pregnancy and on the development of the fetus. The major concerns include causing abortion, reproductive hormone modulation, maternal toxicity, teratogenicity, and embryo-fetotoxicity. This work summarizes the important studies on the reproductive effects of essential oil constituents anethole, apiole, citral, camphor, thymoquinone, trans-sabinyl acetate, methyl salicylate, thujone, pulegone, β-elemene, β-eudesmol, and costus lactone, among others.     

A review of liquid silicone rubber injection molding: Process variables and process modeling

Liquid silicone rubber (LSR) is an elastomer molded into critical performance components for applications in medical, power, consumer, automotive, and aerospace applications. This article reviews process behavior, material modeling, and simulation of the (LSR) injection molding process. Each phase of the LSR injection molding process is discussed, including resin handling, plastication, injection, pack and hold, and curing; and factors affecting the molding process are reviewed. Processing behavior of LSR is marked by transient interactions between curing, shear rate, temperature, pressure, and tooling. Therefore, current LSR models for curing, viscosity, pressure, and temperature are discussed. Process dynamics and material modeling are combined in LSR injection molding simulations with applications in mold design, troubleshooting process-induced defects, and management of shear stress and non-uniform temperatures between LSR and substrates during overmolding. Finally, case studies using commercial simulation software are presented, which have shown cavity pressure and flow front advancement within 3% of experimental values. Optimization of LSR materials, data collection, model fitting, venting, and bonding remain areas of continued interest.     

2004～2005年国外塑料工业进展

收集了2004年7月-2005年6月国外塑料工业的相关资料，介绍了2004年～2005年国外塑料工业的发展情况。提供了世界几大区域塑料的产量、增长率及所占份额；美国、德国、日本、韩国、法国、比利时、印度、西班牙、中国台湾、加拿大、巴西、英国等国家和地区的不同树脂的产量及消费量；各国、各地区塑料原料的产量、进出口量、国内消费量和人均消费量；日本塑料原料的生产情况。按通用热塑性树脂（聚乙烯、聚丙烯、聚苯乙烯、聚氯乙烯、ABS树脂）、工程塑料（聚酰胺、聚碳酸酯、聚甲醛、热塑性聚酯、聚苯醚）、通用热固性树脂（酚醛、聚氨酯、不饱和树脂、环氧树脂）、特种工程塑料（聚苯硫醚、液晶聚合物、聚醚醚酮、聚砜）的品种顺序，对树脂的产量、消费量、供需状况及合成工艺、产品开发、树脂品种的延伸及应用的扩展作了详细的介绍。     

新型碳材料与聚烯烃复合材料研究进展

最近二十多年,由于新型碳材料（包括富勒烯、碳纳米管和石墨烯等）在很多方面具有优异的性能,开辟了诸多新颖的应用领域。本文综述了碳纳米管和石墨烯在聚烯烃树脂中的应用,通过物理共混和原位合成法形成复合材料,提高了聚烯烃材料的力学性能、结晶和熔融性能、热稳定性和导电性等,复合材料在场发射显示器件、储氢材料、电池、超强超韧复合材料、显微镜探头、超级电容器、电子枪、纳米电子器件、传感器等诸多领域已取得了较大的突破。