Object oriented paradigm for optimization model enhancement
Başlık çevirisi mevcut değil.
- Tez No: 401325
- Danışmanlar: DR. ROBERT E. FULTON, DR. RUSSEL PEAK
- Tez Türü: Doktora
- Konular: Makine Mühendisliği, Mechanical Engineering
- Anahtar Kelimeler: Belirtilmemiş.
- Yıl: 2000
- Dil: İngilizce
- Üniversite: Georgıa Instıtute Of Technology
- Enstitü: Yurtdışı Enstitü
- Ana Bilim Dalı: Belirtilmemiş.
- Bilim Dalı: Belirtilmemiş.
- Sayfa Sayısı: Belirtilmemiş.
Özet
Özet yok.
Özet (Çeviri)
Designing a complex product requires a multidisciplinary approach from design to manufacturing. Engineers often face alternatives and trade-offs during the design process to achieve better products. Facilitating information flow in an engineering system among various disciplines has a significant effect throughout the design process. With increasing product complexity, tools that automatically search for an optimum design among a myriad of alternatives become increasingly necessary. The challenge is the management of diverse product types, analysis disciplines, and optimization methods and tools. The modeling process which transforms a detailed product design and analysis models into an optimization model is a non-trivial task requiring large amounts of information, engineering theory, and experienced-based heuristics, as well as the support of multi-fidelity optimization and analysis models. This research views engineering optimization as an information-intensive problem that requires engineering information solutions. This thesis has focused on developing a new information representation of optimization models, termed Enhanced Optimization Model (EOM), during design progression. EOM represents an information framework for an object-oriented design methodology for optimization model construction, enhancement, classification and solution. EOM utilizes a combination of constraint graph and object techniques to provide semantically rich mappings and increased flexibility among models, methods and tools for design, analysis and optimization. The EOM representation consists of an information model structure and protocol together with modeling languages for creating EOM objects. Specifically, EOM is an information representation that partitions the optimization area to achieve more trackable, reusable, flexible and modifiable objects. Key distinctions are the explicit representation of associativity between an optimization model and its analysis and product models, as well as the ability to capture multiple fidelities of optimization models. An EOM prototype has been developed and implemented in the Java programming language in conjunction with optimizers (Bolink, CONMIN etc.), analyzers (Ansys FE) and symbolic solvers (Mathematica). Structural analysis and electronic packaging test cases illustrate the different characteristics and help to evaluate the EOM representation with respect to the thesis objectives. Results show that the EOM enhancement capability enables designers to capture optimization model building information and modify the models easily.
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