Design tool

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

A robust genetic algorithm for structural optimization

Abstract: The focus of this paper is on the development and implementation of a methodology for automated design of discrete structural systems. The research is aimed at utilizing Genetic Algorithms (GA) as an automated design tool. Several key enhancements are made to the simple GA in order to increase the efficiency, reliability and accuracy of the methodology for code-based design of structures. The AISC-ASD design code is used to illustrate the design methodology. Small as well as large-scale problems are solved. Simultaneous sizing, shape and topology optimal designs of structural framed systems subjected to static and dynamic loads are considered. Comparisons with results from prior publications and solution to new problems show that the enhancements made to the GA do indeed make the design system more efficient and robust.

Multifunctional design of heterogeneous cellular structures

Abstract: Mesoscale cellular structures with different desired physical properties are promising for a broad spectrum of applications. The availability of Additive Manufacturing (AM) technology has significantly relaxed the fabricating limitation of cellular structures. It enables the design of cellular structure with complex cell topologies and relative density distribution. In this paper, a multifunctional design method for heterogeneous cellular structures is proposed. To introduce this method, Function-Performance-Property-Design parameter model is proposed at first. This proposed model can help designers to analyze the complex relations between focused functions and their related design parameters. Based on the proposed F-P-P-D model, the template of compromise Decision Support Problem (DSP) is applied to generate the optimization formulation which can generally consider the performances defined for several different functions. To solve the defined optimization problem, a multifunctional design simulation infrastructure is proposed for the designed heterogeneous cellular structures. Based on this simulation infrastructure, both the value of the objective function and its gradients can be evaluated. Then, Sequential Quadratic Programming (SQP) solver can be applied to solve the defined optimization formulation. The optimal relative density of cellular structures can be achieved and converted to the heterogeneous cellular structures at the end. A case study is provided at the end of this paper. For this case study, two different cell topologies and several different combinations of optimization parameters are used. A brief discussion is made to conclude the effects of cell topologies and other optimization parameters on the optimization results. Generally, the result of this design case validates the efficiency of the proposed design method. This method provides a useful design tool for users to take advantage of heterogeneous cellular structures for multifunctional purposes.

Algorithms for Design and Interrogation of Functionally Gradient Material Objects

Abstract: Solid Freeform Fabrication (SFF) processes have demonstrated the ability to produce parts with locally controlled composition. In the limit, processes such as Three-Dimensional Printing(3DP) can create parts with composition to the length scale of 100 µm. To exploit this potential, new methods for automatic design of Functionally Gradient Material (FGM) parts need to be developed. This paper presents an efficient method for design and composition interrogation of FGM solids. The design tool based on the distance function from the surface of the part requires enhanced efficiency, and so does the interrogation of the part. The approach for improving efficiency includes preprocessing the model with bucket sorting and 3D digital distance transform, and an efficient point classification algorithm. Based on these tools, an efficient algorithm for distance function computation is developed for the design of FGM through distance to the surface of the part or distance to an .STL surface boundary. An efficient algorithm to evaluate composition at a point, along a ray or on a plane is also presented.

Design tool chain for cyber-physical systems: lessons learned

Abstract: Design automation tools evolved to support the principle of "separation of concerns" to manage engineering complexity. Accordingly, we find tool suites that are vertically integrated with limited support (even intention) for horizontal integratability (i.e. integration across disciplinary boundaries). CPS challenges these established boundaries and with this - market conditions. The question is how to facilitate reorganization and create the foundation and technologies for composable CPS design tool chains that enables reuse of existing commercial and open source tools? In this paper we describe some of the lessons learned in the design and implementation of a design automation tool suite for complex cyber-physical systems (CPS) in the vehicle domain. The tool suite followed a model- and component-based design approach to match the significant increase in design productivity experienced in several narrowly focused homogeneous domains, such as signal processing, control and aspects of electronic design. The primary challenge in the undertaking was the tremendous heterogeneity of complex cyber-physical systems (CPS), where such as vehicles has not yet been achieved. This paper describes some of the challenges addressed and solution approaches to building a comprehensive design tool suite for complex CPS.