scispace - formally typeset
Search or ask a question
Topic

Design tool

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


Papers
More filters
Journal ArticleDOI
TL;DR: A graphic tool programmed in MATLAB is presented, which allows students to apply and to reflect upon the knowledge acquired in theoretical classes, and was successfully used to improve the students' theoretical knowledge of the subject.
Abstract: The static design of ac/dc and dc/dc switching-mode power supplies (SMPS) relies on a simple but repetitive process. Although specific spreadsheets, available in various computer-aided design (CAD) programs, are widely used, they are difficult to use in educational applications. In this paper, a graphic tool programmed in MATLAB is presented, which allows students to apply and to reflect upon the knowledge acquired in theoretical classes. This tool has been successfully employed in the course “Sistemas Electronicos de Alimentacion” in the Telecommunications Engineering degree as part of a project in new education methods (University of Oviedo project PB-08-019). During practical sessions, the students used the tool to design a SMPS, achieving better learning results than was the case without the tool. In addition, the tool was successfully used to improve the students' theoretical knowledge of the subject.

16 citations

Journal ArticleDOI
TL;DR: This work introduces a real-time, web-based design tool that uses a trained deep neural network (DNN) for accurate far-field radiation prediction, which shows great potential and convenience for antenna and metasurface designs.
Abstract: The connection between Maxwell’s equations and artificial neural networks has revolutionized the capability and efficiency of nanophotonic design. Such a machine learning tool can help designers avoid iterative, time-consuming electromagnetic simulations and even allows long-desired inverse design. However, when we move from conventional design methods to machine-learning-based tools, there is a steep learning curve that is not as user-friendly as commercial simulation software. Here, we introduce a real-time, web-based design tool that uses a trained deep neural network (DNN) for accurate far-field radiation prediction, which shows great potential and convenience for antenna and metasurface designs. We believe our approach provides a user-friendly, readily accessible deep learning design tool, with significantly reduced difficulty and greatly enhanced efficiency. The web-based tool paves the way to present complicated machine learning results in an intuitive way. It also can be extended to other nanophotonic designs based on DNNs and replace conventional full-wave simulations with a much simpler interface.

16 citations

Journal ArticleDOI
TL;DR: In this article, the authors proposed a new way to install cooling channels and baffle tubes in a mold for large automotive parts such as bumpers and instrument panels, and used a surrogate model method to optimize the cooling circuit for minimizing the temperature deviation over the part.
Abstract: The cooling circuit should be properly designed for maximum part quality and shortest cycle time. The best way to insure the part quality in terms of cooling circuit is to design an optimum cooling circuit in the part design step. It is desirable to keep the optimum cooling circuit as intact as possible even in the mold design step. In this work, we proposed a new way to install cooling channels and baffle tubes in a mold for large automotive parts such as bumpers and instrument panels. Instead of conventional gradient method, a surrogate model method was used to optimize the cooling circuit for minimizing the temperature deviation over the part. As the surrogate model a response surface of quadratic form was applied. To supply the sampling points to the regression, the face-centered central composite design (FCCD) and the Box-Behnken design (BBD) were tried, and FCCD produced a slight better result. The temperature distribution by the optimized cooling circuit showed a good agreement with the normal distribution. The whole optimization process was done in a proper amount of running time, which means the optimizer can be utilized as a design tool in the part design step for the automatic generation of cooling circuit. The optimized result showed sufficiently low temperature deviation over the part.

16 citations

01 Jan 2008
TL;DR: COMFEN as discussed by the authors is a tool intended to promote design and deployment of high performance fenestration systems by making complex simulation comparisons of alternative FENestration design choices accessible to a wide audience of users.
Abstract: COMFEN is a new tool intended to promote design and deployment of high performance fenestration systems by making complex simulation comparisons of alternative fenestration design choices accessible to a wide audience of users. COMFEN version 1.0 provides a simple user interface that focuses attention on key variables in fenestration design. EnergyPlus simulates the effects of these variables on energy consumption, peak energy demand, and thermal and visual comfort. Results are presented in graphical and tabular format to help users move toward optimal fenestration design choices for their project. This paper discusses the objectives in developing COMFEN, the implementation methods used, and plans for future development.

16 citations

09 Sep 2011
TL;DR: The AusZEH tool as discussed by the authors combines a whole house energy consumption tool with a supply-demand matching optimisation model to deal with the technical and economic optimisation of the individual house energy demand and on-site renewable supply system.
Abstract: A holistic strategy to significantly reduce carbon emissions in the residential housing sector will involve the design and delivery of new houses with low or zero emissions. This paper presents a new tool for the design of individual low-emission and zero-emission houses in Australia. Based on the engine of CSIRO's AccuRate house energy efficiency rating software but with new modules and capabilities, the AusZEH Design tool combines a whole house energy consumption tool with a supply-demand matching optimisation model. It deals with the technical and economic optimisation of the individual house energy demand and on-site renewable supply system. The tool enables evaluation of demand-reduction technologies and their integration given the building location, construction and occupancy scenarios.

16 citations


Network Information
Related Topics (5)
Software
130.5K papers, 2M citations
82% related
User interface
85.4K papers, 1.7M citations
80% related
Robustness (computer science)
94.7K papers, 1.6M citations
79% related
Energy consumption
101.9K papers, 1.6M citations
79% related
Control theory
299.6K papers, 3.1M citations
78% related
Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20233
20227
202184
2020133
2019139
2018157