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There are many methodologies for doing analysis of system’s reliability in early design stage. Among the methods, PRISM is, as compared to MIL-HDBK-217, a newly developed technology but not easy to use. Because PRISM provides models that predict a part failure rate and field database, called EPRD and NPRD that can be combined with prediction models. This paper presents some capabilities of the prediction models in PRISM and usability of EPRD and NPRD database in system level reliability prediction.
This study is designed integration and control system of GaAs bonding system consisted of multi-processing using DeviceNet and GEM-Protocol. Developing bonding system is composed of resin coating, pre-baking pre-aligner, bonding, material handler(flip robot), and wafer cassette, etc. This system has process-fluent of each a process and share information using GEM-protocol. This study devised virtual bonding simulator to control and to monitor bonding system efficiently. Also we can verify optimizing of system previously through a virtual bonding simulator.
In this study, 6” GaAs wafer bonding system is designed and optimized to bond 6 inches device wafer and material wafer. Bonding process is performed in vacuum environment and resin is used to bond two wafers. Vacuum module and double heating mechanisms are adopted to minimize wafer warpage and void. Structure and heat transfer analysis, et al of the core modules review the designed mechanisms are very effective in performance improvement. As a result, high productivity (tack time cut-down) and stabilized process can be obtained by reducing breakage failure of wafer.
The manufacturing system is demanded to reduce the size, in order to have a competitiveness. The μ- factory is small-size production systems that is suitable for fabrication and manufacturing of small-sized parts and products. The μ-factory is remarkable because it cuts a production energy, is easy contamination control, bring light investment, reduce running cost The μ-factory of this research is used to assemble a cellular phone camera lens module. This research has two suggestions. One is the infra table that make reconfigurable μ-factory easily. The other is self-adjustment module that can adjust one part to the other part automatically.
In this study has developed analysis system for automatic inspection of FPD(Flat Panel Display) characteristic, such as brightness, view angle, color ratio in the manufacturing process. Developed system consists of inspection-sensor part, acquiring a data by 3-CCD Color CCD camera and Inspection-stage part, driving a FPD holder to rotation and tilt direction. In experiment results, we could have ensured easily brightness distribution, available view angle, color reproduce and could expect to improve the quality, productivity, and yield.
In this study, automatic assembly and evaluation system for phone camera module is conceptually designed. The designed core(Auto focus & UV curing, Image Test) equipments adopts a clustering mechanism and compactible structure using index table for minimum tact time. Using a ball screw actuator and absolute encoder in each axis, we can verifies the repeatability and position accuracy of system within ±3㎛. In result of simulation test, the proposed system is expected up to 30% in productivity than manual operation.