离合器端盖成形工艺及模具设计

分析了离合器端盖的成形工艺难点和关键技术，设计了合理的工艺方案、模具结构及关键零件的制造工艺，模具的使用效果和产品质量很好。     

RBF级联型神经网络在挤出吹塑制品质量控制中的应用

通过对挤出吹塑工艺过程建立了成形工艺参数与制品质量关系的RBF(径向基函数)级联型神经网络,经训练,该网络可预测各成形工艺参数对制品质量的影响,从而可实现对制品质量的有效控制,并实验验证了其正确性和可行性。     

火车车轮辐板外侧面裂纹成因分析

针对火车车轮在热成型过程中车轮辐板外侧面易产生裂纹问题,采用低倍检验、金相组织和化学成分分析等方法对裂纹产生原因进行了探讨。结果表明,裂纹的产生是由于车轮辐板在热成型中受到强烈的冷却影响所致,从而采取了相应的改进措施,取得了较好效果。     

相变诱导塑性TRIP钢的研究进展

相变诱导塑性（TRIP）钢是一种高强汽车用钢，一般通过热轧控制冷却或冷轧＋热处理工艺进行生产，其组织由铁素体＋贝氏体＋残余奥氏体组成。本文介绍了TRIP钢的组织、性能特点及其生产工艺，对TRIP钢研究趋势做了展望。     

Application of multiscale modeling in the coating formation simulation of APS PYSZ TBCs

The process parameters of atmospheric plasma spraying (APS) influence the coating formation and properties of partially yttria stabilized zirconia (PYSZ) thermal barrier coatings (TBC). Simulations can be used to investigate this dependency and to design the coating process for a targeted production of TBCs. A whole process simulation was realized by modeling the linked subprocesses: plasma torch, plasma free jet, powder particles characteristics, and coating formation. The coating formation can be described by model approaches with different physical assumptions and geometric scales. One approach is the simulation of single powder particles hitting the substrate surface. An alternative macroscale finite element model (FEM) model approach is applied in the coating formation simulation. A group of particles is pooled in a splash that is dependent on the precalculated particle distribution in front of the substrate. A third modeling approach is applied to calculate effective mechanical and thermodynamical properties of coatings dependent on the experimentally obtained or calculated microstructure of the PYSZ TBC, which is based on different homogenization methods. The application of three simulation approaches in the whole process simulation of APS is discussed; advantages and disadvantages are elucidated. Results based on simulation and experiments are presented for a variation of process parameters. Missing links in the multiscale approach are detected to make suggestions for future modeling and simulation work. This article was originally published inBuilding on 100 Years of Success, Proceedings of the 2006 International Thermal Spray Conference (Seattle, WA), May 15–18, 2006, B.R. Marple, M.M. Hyland, Y.-Ch. Lau, R.S. Lima, and J. Voyer, Ed., ASM International, Materials Park, OH, 2006.     

MLCC三层镀中甲基磺酸镀锡体系工艺条件对锡镀层性能影响的研究

研究了片式多层陶瓷电容器(MLCC)三层镀中甲基磺酸镀纯锡体系pH值、温度、电流密度等工艺条件及杂质金属离子对镀液稳定性、镀层结构和性能等方面的影响。从电流效率、沉积速度及锡镀层表面的扫描电镜等方面,对比了不同pH值、温度、电流密度以及锡镀液中掺杂Cu2+、Ni2+后对锡镀层结构和性能的影响。研究结果给出了电镀工艺中最佳的pH值为3.5±0.2、温度为(23±2)℃、电流密度可以有较宽的范围,当镀液中掺有镍、铜等杂离子会对镀层产生负面影响,在给出的工艺参数下电镀,可以确保镀出最佳的纯锡镀层。     

Design of forging process variables under uncertainties

Forging is a complex nonlinear process that is vulnerable to various manufacturing anomalies, such as variations in billet geometry, billet/die temperatures, material properties, and workpiece and forging equipment positional errors. A combination of these uncertainties could induce heavy manufacturing losses through premature die failure, final part geometric distortion, and reduced productivity. Identifying, quantifying, and controlling the uncertainties will reduce variability risk in a manufacturing environment, which will minimize the overall production cost. In this article, various uncertainties that affect the forging process are identified, and their cumulative effect on the forging tool life is evaluated. Because the forging process simulation is time-consuming, a response surface model is used to reduce computation time by establishing a relationship between the process performance and the critical process variables. A robust design methodology is developed by incorporating reliability-based optimization techniques to obtain sound forging components. A case study of an automotive-component forging-process design is presented to demonstrate the applicability of the method.     

铸态QT450-15高韧性球墨铸铁的生产

分析了化学成分、脱硫处理、球化及孕育处理等主要工艺因素对铸态QT450-15高韧性球墨铸铁铸件生产的影响.     

机床铸件导轨镶铸冷却水管的工艺技术

机床铸件导轨镶铸冷却水管是一项新技术,介绍该技术的试验开发过程、铸造工艺参数的设计、生产过程的铸造工艺规范,本试验开发项目的成功将促进镶铸技术在机床铸件上的应用.     

Fuzzy adaptive networks in machining process modeling: surface roughness prediction for turning operations

Due to the complexity of the machine tool structure and the cutting process, the dynamics of machining processes are still not completely understood. This is especially true due to the demand of high-speed machining to increase productivity. In order to model and control these complex processes, new approaches, which can represent complex phenomenon combined with learning ability, are needed. The combined neural–fuzzy approach appears to be ideally suited for this purpose. In this paper, the recently developed fuzzy adaptive network (FAN) is used to model surface roughness in turning operations. The FAN network has both the learning ability of neural network and linguistic representation of complex, not well-understood, vague phenomenon. Furthermore, it can continuously improve the initially obtained rough model based on the daily operating data. To illustrate this approach, a model representing the influences of machining parameters on surface roughness is established and then the model is verified by the use of the results of pilot experiments. Finally, a comparison with the results based on statistical regression is provided.