基于热障涂层的发动机活塞组件-缸套减摩方案研究

降低摩擦损失是提高整机经济性并降低碳排放的有效途径.包括活塞环和活塞在内的活塞组件,工作条件恶劣,活塞组件-缸套系统的摩擦损失可占整机近50％.活塞组件往复运动过程中,在冲程的不同位置其速度不同,活塞组件-缸套的润滑模式也不同.在靠近上下止点处,较高的润滑油黏度对改善润滑和降低接触摩擦有利;在冲程中间处,更低的润滑油黏...     

A Method of Clustering Components into Modules Based on Products'''' Functional and Structural Analysis

IntroductionMarket competitiveness forces enterprises todeliver a variety of products while keeping massproduction efficiency[1]. This leads to the masscustomization, for which product family development is the effective means[2, 3]. Modularity andstandardization are promising tools in product family development[4]. Many authors view modularityas the key to improving the cost-variety trade-ofin product development[5, 6]. Products built aroundmodular architectures can be more easily variedwith…     

Time-varying performance prediction and system identification of internal combustion engines

Design for life-time performance and proper maintenance measures are usually needed to prolong the mean-time-between-failures of complex equipments such as internal combustion engines. To reach this, it is important to obtain the information of time-varying system performance in design stage and to identify the structural change at each moment. So a multidisciplinary model based method is studied in this paper to unify the time-varying performance(TVP) prediction and system identification(SI) of equipments. The related multidisciplinary model in this paper should be not only precise to give simulation results but also sensitive to the variation of system parameters. So the varying history of system performance along with the structural change can be obtained from the model. Then the value of system parameters can be identified by seeking roots with given detected responding data and relationship between system responding data and system parameters. A case study on a low power gasoline engine shows that the method presented in this paper can provide useful information for the development and maintenance of complex equipments.     

A Method of Clustering Components into Modules Based on Products＇ Functional and Structural Analysis

Modularity is the key to improving the cost-variety trade-off in product development. To achieve the functional independency and structural independency of modules, a method of clustering components to identify modules based on functional and structural analysis was presented. Two stages were included in the method. In the first stage the products＇ function was analyzed to determine the primary level of modules. Then the objective function for modules identifying was formulated to achieve functional independency of modules. Finally the genetic algorithm was used to solve the combinatorial optimization problem in modules identifying to form the primary modules of products. In the second stage the cohesion degree of modules and the coupling degree between modules were analyzed. Based on this structural analysis the modular scheme was refined according to the thinking of struc- tural independency. A case study on the gear reducer was conducted to illustrate the validity of the presented method.