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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.


Papers
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Journal ArticleDOI
TL;DR: A design environment specially tailored to problems in control engineering is presented and a complex problem in controller design, taken from the field of vehicle suspension, proves the efficiency and performance of the design tool.
Abstract: A design environment specially tailored to problems in control engineering is presented. It contains, apart from plant models and operating environments, the formulation of the experimental environment. Linear controllers of any desired structure are designed with the aid of the characteristic variables of the experiments, using a vector optimization procedure in an interactive design process. The hierarchical description of the model, based on an interpreter solution, was realized in the ADA programming language. A complex problem in controller design, taken from the field of vehicle suspension, proves the efficiency and performance of the design tool.

20 citations

Book ChapterDOI
01 Jan 2009
TL;DR: In this paper, a hybrid methodology is proposed to guide the design research and development process of a smart clothing layering system from user-needs analysis to the potential research and testing of near market prototypes.
Abstract: A hybrid methodology is required to guide the design research and development process of a smart clothing layering system from user-needs analysis to the potential research and testing of near market prototypes. The breadth of potential combinations of materials, design features and wearable technologies is daunting without a clear profile of the real requirements of the wearer or end-user. A design tool is introduced that identifies key considerations may guide the designer or product development team, new to this hybrid area of design.

20 citations

Journal ArticleDOI
TL;DR: A deep learning-based framework that learns latent similarities between runs in a training set to predict near optimal designs is introduced, enabling efficient wholistic understanding of the problem setup space, which includes both loading conditions and, for the first time in this study, manufacturing process configuration.

20 citations

Journal ArticleDOI
TL;DR: In this article, an approach for assessing the effectiveness of engineering design tools applied within new product development (NPD) is presented, in which both the quality of the process used to apply the design tool and quality of outputs generated by the tool are assessed.
Abstract: :This article presents an approach for assessing the effectiveness of engineering design tools applied within new product development (NPD). In this approach both the quality of the process used to apply the design tool and the quality of outputs generated by the design tool are assessed. The approach described was developed and piloted in an engineer-to-order (ETO) company. The specific assessment instruments created are also presented. Future work will include investigating the use of the approach for additional design tools and analyzing how design tool effectiveness relates to overall product launch effectiveness.

20 citations

Book ChapterDOI
01 Jan 2009
TL;DR: In this article, an overview of the automatic design of antennas using the meta-heuristic known as Ant Colony Optimization (ACO) is presented, where a novel local search refinement operator and a multi-objective version of the problem are also described.
Abstract: A method increasingly used to uniquely identify objects (be they pieces of luggage, transported goods or inventory items in shops and warehouses), is Radio Frequency IDentification (RFID). One of the most important components of RFID systems is the antenna and its design is critical to the utility of such tracking systems. Design engineers have traditionally constructed small antennas using their knowledge and intuition, as there is no simple analytical solution relating antenna structure to performance. This, however, does not guarantee optimal results, particularly for larger, more complex antennas. The problem is ideally suited to automated methods of optimisation. This chapter presents an overview of the automatic design of antennas using the meta-heuristic known as Ant Colony Optimisation (ACO). Apart from a description of the necessary mechanics ACO needs to effectively solve this problem, a novel local search refinement operator and a multi-objective version of the problem are also described. The latter is used to optimise both antenna efficiency and resonant frequency. Computational results for a range of antenna sizes show that ACO is a very effective design tool for RFID antennas.

20 citations


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