Automated Manufacturability Evaluation For Microwave Modules
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Ship manufacturability is one of the most important works for modern shipbuilding industry. The basic concept of ship manufacturability and its evaluation system are discussed first. Then the characteristics of ship manufacturability are analyzed. One kind of ship manufacturability evaluation (SME) strategy is put forward. Two evaluation methods of ship manufacturability (knowledge-based manufacturability evaluation and simulation-based manufacturability evaluation) are proposed too. With the proposed methods, the ship manufacturability can be evaluated reasonably.
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Manufacturability analysis is a critical step before manufacturing to reduce costs and risks. It is used widely in conventional manufacturing (CM) processes. However, to the best of our knowledge, there is no natural method to evaluate the manufacturability of additive manufacturing (AM) processes that have more uncertainty-derived risks and costs than CM processes. A clear definition of the manufacturability of AM processes has not been established, and there is no standard to check whether a component is manufactured successfully by an AM process, particularly for porous complex components. This study introduces the development of a new machine learning-based method to solve the problem mentioned above. It is based on the statistical measurement of experimental samples. The proposed method can be used to perform the manufacturability analysis for periodic cellular structures printed by a selective laser melting (SLM) process. A novel definition of the manufacturability of the SLM-ed periodic cellular structure was proposed. Experimental results indicate that the developed learning model (ANN model) can achieve up to 94% classification accuracy and 96% prediction accuracy, which satisfies the application requirements of the AM industry. Moreover, the developed model can be adapted for the manufacturability analysis of different AM processes.
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In the traditional design process of auto panels, the structure and functions of the panel are concerned more by designers, but the manufacturability is paid little attention to. Therefore, some problems appear during the manufacturing process. In this paper, a new approach, design for manufacturability using polychromatic sets, is introduced to evaluate the manufacturability of auto panels. And the systemic framework is established. Detailed explanations are given through an auto panel example. The evaluation process is described using polychromatic sets.
Design process
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A group of technologies for sub 100nm process modeling and DFM (Design For Manufacturability) problem are presented.A DFM flow for standard cell design is implemented,with typical DFM patterns being discussed in detail.New design rules and solution styles are introduced as well.Based on the DFM flow and design styles,a set of DFM friendly 90nm standard cells are designed.
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There are shown basic drawbacks of the well-known factors of manufacturability. The formulae of manufacturability factors excluding mentioned drawbacks and taking into account the impact of product design characteristics upon complete laboriousness of its manufacturing are offered. The developed formulae of these manufacturability factors give possibility for obtaining an integral estimate of manufacturability by means of their summation.
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Бұл зерттеужұмысындaКaно моделітурaлы жәнеоғaн қaтыстытолықмәліметберілгенжәнеуниверситетстуденттерінебaғыттaлғaн қолдaнбaлы (кейстік)зерттеужүргізілген.АхметЯссaуи университетініңстуденттеріүшін Кaно моделіқолдaнылғaн, олaрдың жоғaры білімберусaпaсынa қоятынмaңыздытaлaптaры, яғнисaпaлық қaжеттіліктері,олaрдың мaңыздылығытурaлы жәнесaпaлық қaжеттіліктерінеқaтыстыөз университетінқaлaй бaғaлaйтындығытурaлы сұрaқтaр қойылғaн. Осы зерттеудіңмaқсaты АхметЯсaуи университетіндетуризмменеджментіжәнеқaржы бaкaлaвриaт бaғдaрлaмaлaрыныңсaпaсынa қaтыстыстуденттердіңқaжеттіліктерінaнықтaу, студенттердіңқaнaғaттaну, қaнaғaттaнбaу дәрежелерінбелгілеу,білімберусaпaсын aнықтaу мен жетілдіружолдaрын тaлдaу болыптaбылaды. Осы мaқсaтқaжетуүшін, ең aлдыменКaно сaуaлнaмaсы түзіліп,116 студенткеқолдaнылдыжәнебілімберугежәнеоның сaпaсынa қaтыстыстуденттердіңтaлaптaры мен қaжеттіліктерітоптықжұмыстaрaрқылыaнықтaлды. Екіншіден,бұл aнықтaлғaн тaлaптaр мен қaжеттіліктерКaно бaғaлaу кестесіменжіктелді.Осылaйшa, сaпa тaлaптaры төрт сaнaтқa бөлінді:болуытиіс, бір өлшемді,тaртымдыжәнебейтaрaп.Соңындa,қaнaғaттaну мен қaнaғaттaнбaудың мәндеріесептелдіжәнестуденттердіңқaнaғaттaну мен қaнaғaттaнбaу деңгейлерінжоғaрылaту мен төмендетудеосытaлaптaр мен қaжеттіліктердіңрөліaйқын aнықтaлды.Түйінсөздер:сaпa, сaпaлық қaжеттіліктер,білімберусaпaсы, Кaно моделі.
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We review some of the new functionalities needed for the integration of DFM (design for manufacturability) practices in design flows. We explain why DFM is important for the yield and reliability of products designed for advanced CMOS processes. We show that DFM cannot be limited to layout optimization and that DFM practices can be and have to be very diverse. This diversity highlights the need of creating communication standards and channels between the stages of design flows. The diversity of the DFM needs also means that it could make sense for the industry to agree on a DFM roadmap.
Integrated circuit design
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The nationally-recognized Susquehanna
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Abstract In order to save cost and time, the manufacturability of injected parts should be analysed and estimated in early design stages using some appropriate method of part representation. This paper presents the use of the mid-surface of a part to perform automatic assessment of the manufacturability of injected parts. This approach allows the manufacturability to be analysed in a short time, so that the analysis can be integrated into the stage of part modelling. The mid-surface is homotopically identical to the solid model of the part, and it can substitute the corresponding solid model in the evaluation of aspects of manufacturability such as safe demoulding. In other aspects, such as partial cycle times and abrupt changes in thickness, mid-surface offers more possibilities than a solid model because it contains an explicitly defined thickness distribution. Furthermore, mid-surface can be used for the purpose of guiding design correction. This paper outlines the foundations underlying the analysis of manufacturability aspects based on a mid-surface approach.
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