The hole-clinching process is one of the mechanical methods for joining dissimilar materials, such as aluminum alloy with advanced high-strength steel, hot-pressed steel, and carbon fiber reinforced plastics, employing forming technology-based methods. In joint design, the analysis of the failure-mode dependent joint strength is a crucial step in achieving structural performance for practical applications. In this study, the influence of the geometrical interlocking parameters on the failure-mode dependent joint strength was investigated in order to design the geometrical interlocking shape of the hole-clinched joint to achieve a target joint strength. Moreover, the failure process of the hole-clinched joint under pullout loading condition was studied to determine the geometrical interlocking parameters that affect joint strength. Based on the results of the finite element analysis, an analytical approach for the failure-mode dependent joint strength was proposed to predict the strength of the hole-clinched joint. In addition, the proposed analytical approach was applied to the hole-clinching process with dissimilar materials. Its effectiveness was then verified using the cross-tension test. Accordingly, it was found that it was possible to predict the failure modes and joint strength with a maximum error of 7.8%.
Common joining methods used in automotive industry are welding, adhesive bonding, friction stir welding, mechanical fastening, self-piercing rivets, mechanical clinching and so on, for multi-material designed automotive bodies. Among different joining methods, mechanical clinching which achieves geometrical interlocking by plastic deformation has several advantages such as no need of additional joining elements and fast joining. But mechanical clinching is difficult to join a ductile material with a high-strength or low ductility material. Therefore the hole clinching as a new mechanical clinching process has been proposed to join these material combinations. In the hole clinching process, as punch force is applied to a upper sheet (a ductile material), it is indented into hole of lower sheet (low ductile material) on die and then interlocked by plastic deformation. It is very important for a successful design of hole clinching to predict the failure mode such as neck fracture and button separation and the strength of hole-clinched joint. For this an analytical approach was carried out for the hole clinching process of Al6061 and DP980. Tool geometry used in hole clinching was designed by the predicted failure mode. Preliminary finite element simulation was performed to validate the geometrical interlocking and joinability. The predicted failure mode and strength were verified by the results of cross tension test.
An extreme seeking (ES) method is given for the optimal design of the thermal energy storage (TES) tank in a trough solar collector system. The energy storage tank in such a solar energy collector performs a filter which regulates the heat transfer in some applications. It is desirable that the volume of the TES tank is optimized in terms of the best performance of heat regulation. The main idea is to construct a simulation scheme that emulates repeatedly the dynamical process and varies the key parameter of the tank at all iterations. The governing algorithm is a convex optimization. A case study that incorporates the above method is examined in the city of a province in China. It is shown in the numerical results that the volume of the TES tank is key variable that influences the performance of heat transfer; the proposed ES method is effective to seek the optimal volume.
The three-dimensional CAPP prototype is studied based on Solid Edge platform using the technology of secondary development of VB. The system is able to complete part the selection of machining feature of the part, edit of process information and selection of process. The system finally output process card semi-automatic or automatic, through the module of process edit and the module of process card output module having the support of the process resource management module.
This paper focuses on multi-disciplinary resource configuration optimization problem of collaborative manufacturing in an open environment. First a semantic-based manufacturing resources retrieval and deployment framework is presented, then the four layers of the proposed framework, i.e. resource modeling, resource retrieval and annotation, resource discovery, and optimal resource deployment are discussed in detail.
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