ZG35CrMnSiRe热处理的试验研究

ZG35CrMnSiRe铸钢经不同的热处理,对其强度、硬度、塑性和冲击韧性等机械性能进行测定,实验结果表明其综合机械性能良好。     

成型方法和热处理对Cu-Zn-Al合金阻尼性能的影响

论述了获得高机械性能和高阻尼性能的阻尼合金的工艺方法．从ＣｕＺｎＡｌ合金系中选择一种机械性能较好的阻尼合金进行试验,并分析成型方法和热处理工艺对合金阻尼性影响,结果是适当的成型方法和热处理工艺使合金同时具有高的机械性能和阻尼性能．     

反式聚环戊烯橡胶在轮胎胎肩胶中的应用研究

对合成的3种不同相对分子质量的反式聚环戊烯橡胶（TPR）用于轮胎胎肩胶进行了研究,结果表明：与使用天然橡胶（NR）及顺丁橡胶（BR）/NR并用胶相比,TPR硫化胶的回弹性、老化性能、耐磨性和低温性能优异,耐疲劳性能好,动态生热低,滚动阻力小,抗湿滑性稍差,拉伸强度和撕裂性能较差;TPR/NR并用硫化胶与NR相比物理性能有所改善,耐老化性、耐磨性和低温性能优异,回弹性、耐疲劳性及动态生热相当,滚动阻力小,有较好的动态力学性能。相对分子质量较低的TPR2具有较佳的综合性能,TPR不适合单独应用于轮胎胎肩胶,其与NR并用具有较好效果。     

淬火水温对2219铝合金锻环组织和力学性能的影响

采用室温拉伸测试、金相显微镜、扫描电镜以及透射电镜等测试分析方法,研究淬火水温(20～80℃)对2219铝合金锻环组织和拉伸性能的影响.研究结果表明:随着淬火水温提高,锻环的抗拉强度、屈服强度和延伸率先升高后降低.当淬火水温超过60℃时,锻环延伸率各向异性倾向显著增加,其主要原因是形成粗大晶界析出相.当淬火水温为40℃时,锻环具有较好的强度和延伸率,其轴向抗拉强度、屈服强度和延伸率分别为418 MPa、300 MPa和9.3%,径向抗拉强度、屈服强度和延伸率分别为420 MPa、300 MPa和9.8%,切向抗拉强度、屈服强度和延伸率分别为447 MPa、329 MPa和12.6%.     

镍基F105Fe粉末选区激光烧结试验

针对选区激光烧结金属零件致密度低、机械性能差等问题,分析了金属粉末选区激光烧结的工艺特点,讨论了扫描路径对金属粉末烧结成形的影响以及金属粉末直接烧结成形的基本机理.选用镍基F105Fe粉末进行选区激光烧结成形金属零件,采用扫描电镜、显微硬度测量、阿基米德定律等方法,研究了扫描路径对选区激光烧结制件微观组织、显微硬度和致密度的影响.结果表明,扫描路径的不同不会改变制件的微观组织,但对组织的均匀化和细化有一定的影响;扫描路径对制件的机械性能影响显著,变向扫描制备的制件显微硬度比较高,致密性最好,短边同向扫描制备的制件显微硬度最高.     

汽车轻量化技术发展趋势研究

为了降低汽车油耗,节约能源,抑制环境恶化,提升汽车性能,把轻量化材料应用在汽车制造工业中,减少轿车重量,是一种行之有效的方法。本文主要介绍了在汽车工业中引用轻量化的设计理念和一些汽车经常使用的轻量化材料。     

石墨烯取代硅，前景预测被批乐观

 石墨烯因其优异的电学、光学和机械性能被媒体称作奇迹材料,近年来吸引了众多科学家和大量科研资金的投入。石墨烯的发现更是获颁2010年度诺贝尔物理学奖。不过最近,IBM研究人员却宣称石墨烯的应用前景可能被夸大了,因为石墨烯本身的性质导致石墨烯研究存在一些障碍。     

Microstructure and properties of nano-TiN modified Ti（C,N）-based cermets fabricated by powder injection molding and die pressing

Powder injection molding （PIM） and die pressing were employed to fabricate nano-TiN modified Ti（C,N）- based cermets. The shrinkage behavior, microstructure, porosity, and mechanical properties of the samples with and without nano-TiN addition fabricated by PIM and die pressing were analyzed. It is demonstrated that for either PIM or die pressing, the porosities are obviously reduced, the mechanical properties are significantly improved after adding nano-TiN, and the hard particles are refined; the rim phase thickness obviously becomes thinner, and the number of dimples in fracture also increases. Compared the samples fabricated by die pressing, it is difficult for PIM to obtain dense Ti（C,N）-based cermets. Due to the too much existence of pores and isolated carbon, the mechanical properties of the sintered samples by PIM are inferior to those of the sintered ones by die pressing.     

几种铝翅片机械性能的测试与评价

为了优化空调翅片加工工艺．对5种不同的空调铝箔材料进行力学拉伸实验、杯突试验和弯曲实验,比较这几种铝箔材料的机械性能,分析力学性能、埃里克森值以及厚度变化值．结果表明：材料CC603W和A1200P与其他材料相比,抗拉强度几乎相同,延伸率较大,冲压性能优良,适合铝翅片加工;材料CC438820尽管抗拉强度较大．但延展性较差．不适于翅片加工．     

Artificial neural network prediction of mechanical properties of hot rolled low carbon steel strip

Conventionally, direct tensile tests are employed to measure mechanical properties of industrially pro- duced products. In mass production, the cost of sampling and labor is high, which leads to an increase of total pro- duction cost and a decrease of production efficiency. The main purpose of this paper is to develop an intelligent pro- gram based on artificial neural network （ANN） to predict the mechanical properties of a commercial grade hot rolled low carbon steel strip, SPHC. A neural network model was developed by using 7 x 5 x 1 back-propagation （BP） neural network structure to determine the multiple relationships among chemical composition, product pro- cess and mechanical properties. Industrial on-line application of the model indicated that prediction results were in good agreement with measured values. It showed that 99.2 % of the products＇ tensile strength was accurately pre- dicted within an error margin of ~ 10 %, compared to measured values. Based on the model, the effects of chemical composition and hot rolling process on mechanical properties were derived and the relative importance of each in- put parameter was evaluated by sensitivity analysis. All the results demonstrate that the developed ANN models are capable of accurate predictions under real-time industrial conditions. The developed model can be used to sub- stitute mechanical property measurement and therefore reduce cost of production. It can also be used to control and optimize mechanical properties of the investigated steel.