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Design tool

About: Design tool is a research topic. Over the lifetime, 3864 publications have been published within this topic receiving 46401 citations.


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Journal ArticleDOI
TL;DR: The case adaptation aspect, which adjusts the selected case to the new problem to provide a complete solution, uses an adaptation method called derivational replay, and the case-based design capabilities are completely integrated within the design environment from which the cases originate.
Abstract: A case-based design functionality is a natural and intuitive addition to a design tool that can augment human capabilities and help designers remember and retrieve appropriate cases. SEED-Config, a design environment for conceptual building design, was developed to incorporate a case-based reasoning functionality to provide designers with initial potential solutions. The case representation in SEED-Config is the BENT information model, which records design knowledge, supports the hierarchical decomposition of design cases, offers multiple views, and encapsulates the outcome of the design in addition to the problem specification and the design solution. The case library was implemented in an object-oriented database management system to accumulate cases automatically and to provide efficient query facilities. The case retrieval aspect of SEED-Config offers three different methods to find the most useful cases stored in the case library: task-based, lineage-based, and customized. Case retrieval responds to the exploratory nature of the design process and supports versatile case retrieval by providing multiple paths to each case. The case adaptation aspect, which adjusts the selected case to the new problem to provide a complete solution, uses an adaptation method called derivational replay. The case-based design capabilities are completely integrated within the design environment from which the cases originate.

31 citations

Proceedings Article
13 Jul 2008
TL;DR: The Prometheus Design Tool is a graphical editor which supports the design tasks specified within the Prometheus methodology for designing agent systems and ensures consistency between various parts of the design.
Abstract: The Prometheus Design Tool (PDT) supports the structured design of intelligent agent systems. It supports the Prometheus methodology, but can also be used more generally. This paper outlines the tool and some of its many features.

31 citations

Journal ArticleDOI
TL;DR: A practical theory of micro-solar power systems is developed that is materialized in a simulation suite that models component and system behavior over a long time scale and in an external environment that depends on time, location, weather, and local variations.
Abstract: Building a micro-solar power system is challenging because it must address long-term system behavior under highly variable solar energy and consider a large design space. We develop a practical theory of micro-solar power systems that is materialized in a simulation suite that models component and system behavior over a long time scale and in an external environment that depends on time, location, weather, and local variations. This simulation provides sufficient accuracy to guide specific design choices in a large design space. Unlike the many macro-solar calculators, this design tool models detailed behavior of milliwatt systems in the worst conditions, rather than typical behavior of kilowatt systems in the best conditions. Our simulation suite is validated with a concrete design of micro-solar power systems, the HydroWatch node. With our simulation suite, micro-solar power systems can be designed in a systematic fashion. Putting the model and empirical vehicle together, the design choices in each component of a micro-solar power system are studied to reach a deployable candidate. The deployment is evaluated by analyzing the effects of different solar profiles across the network. The analysis from the deployment can be used to refine the next system-design iteration.

31 citations

Proceedings ArticleDOI
14 May 2010
TL;DR: In this paper, a methodology is presented that generates optimal urban water networks that are adaptable and sustainable under future global change pressures, which are characterized by their ability to cope with uncertainties and have the capability to adapt to new, different, or changing requirements.
Abstract: With increasing global change pressures (urbanization, climate change etc.) coupled with e xisting un-sustainability factors and risks inherent to conventional urban water management, cities of the future will experience difficulties in efficient decision making on the infrastructure development. Projections of future global change pressures are plagued with uncertainties which cause difficulties when developing urban water infrastructures that are insensitive to these global change uncertainties. In this paper a methodology is presented that generates optimal urban water networks that are adaptable and sustainable under future global change pressures. These flexible systems are characterized by their ability to cope with uncertainties and have the capability to adapt to new, different, or changing requirements. The flexible design tool presented in this paper consists of two major components. The first component is a methodology for developing scenario trees that reflect uncertainties associated with future demand for water. These scenario trees represent the uncertainty envelope associated with demand projections over time. The second component is an optimization model that considers the phased design of the water network, taking into account the likeliness of different demand scenarios over time (as expressed by the scenario trees). The GA based optimization model identifies the optimal staged development of the network that gives the optimal expected value of the network both in terms of costs and benefits. The flexible design tool is then applied to the design of an example network with a design horizon of 30 year. The solution is presented as a phased design in 5 year stages and is compared with a design undertaken in the traditional way. This comparison clearly highlights the benefits and the efficacy of applying flexible design approaches for water systems operating under future uncertainties.

31 citations

Journal ArticleDOI
TL;DR: In this article, a methodology to design three-phase squirrel-cage induction motors is presented based on a simple geometrical approach and self-consistent equations, without any use of empirical/corrective coefficients.
Abstract: A methodology to design three-phase squirrel-cage induction motors is presented. The main aim of the study is the preliminary electromagnetic sizing of the machine, obtaining the machine overall dimensions (diameters, core axial length and rough stator and rotor shape) and a draft of the stator winding specifications (turn number and wire area). The procedure is based on a simple geometrical approach and self-consistent equations, without any use of empirical/corrective coefficients. In the proposed design tool, the machine geometrical dimensions are automatically computed starting from a few design specifications imposed by the user, such as rated voltage and torque and electric and magnetic material solicitations. In this study, the design procedures and algorithms are described step-by-step and, for each step, the used equations are reported in detail, in order to allow readers to develop own `do-it-yourself` software for induction motor electromagnetic design. The authors developed this software in a Microsoft Excel electronic sheet using embedded Visual Basic for Applications. To prove the goodness and accuracy of the proposed design tool, a comparison with two commercial software for electrical machine design and analysis has been done and discussed.

31 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20233
20227
202184
2020133
2019139
2018157