A Framework for Computational Design Synthesis: Model and Applications

2005 ◽  
Vol 5 (3) ◽  
pp. 171-181 ◽  
Author(s):  
Jonathan Cagan ◽  
Matthew I. Campbell ◽  
Susan Finger ◽  
Tetsuo Tomiyama
Keyword(s):  
Computational Design ◽  
Active Area ◽  
Synthesis Process ◽  
Automated Synthesis ◽  
Design Problems ◽  
Design Synthesis ◽  
Industrial Practice ◽  
Research Challenges ◽  
Computational Design Synthesis ◽  
Open Issues

The field of computational design synthesis has been an active area of research for almost half a century. Research advances in this field have increased the sophistication and complexity of the designs that can be synthesized, and advances in the speed and power of computers have increased the efficiency with which those designs can be generated. Some of the results of this research have begun to be used in industrial practice, yet many open issues and research challenges remain. This paper provides a model of the automated synthesis process as a context to discuss research in the area. The varied works of the authors are discussed as representative of the breadth of methods and results that exist under the field of computational design synthesis. Furthermore, some guidelines are presented to help researchers and designers find approaches to solving their particular design problems using computational design synthesis.

New Advances in the Functional Modeling of Electro-Mechanical Components

2002 ◽  
Author(s):  
Matthew I. Campbell ◽  
Advait Limaye
Keyword(s):  
Computational Design ◽  
Human Mind ◽  
Design Problems ◽  
Design Synthesis ◽  
Design Concepts ◽  
Topological Design ◽  
Functional Representation ◽  
Component Layout ◽  
Computational Design Synthesis ◽  
Function Sharing

This paper presents some key extensions to a representation for electromechanical components that is sufficiently detailed enough to provide for the automated construction of new design configurations. The extensions, shown here, build upon a representation that is both formal and implemented, and can handle the interactions between components even if such interactions represent only partial configurations. The results of these new additions elucidate the power and flexibility of this functional representation for electromechanical components. The method can be used as an interactive tool to allow an engineering designer to explore new design concepts or can be combined with additional software tools to achieve a computational design synthesis approach to topological design problems. The inclusion of function sharing, component layout, and qualitative dynamics achieve a closer approach to how the human mind represents components.

A Method for Visualizing the Relations Between Grammar Rules, Performance Objectives and Search Space Exploration in Grammar-Based Computational Design Synthesis

2015 ◽  
Author(s):  
Corinna Königseder ◽  
Kristina Shea
Keyword(s):  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Computational Design ◽  
Search Space ◽  
Synthesis Process ◽  
Design Synthesis ◽  
Novel Approach ◽  
Grammar Rules ◽  
Computational Design Synthesis

Design grammars have been successfully applied in numerous engineering disciplines, e.g. in electrical engineering, architecture and mechanical engineering. A successful application of design grammars in Computational Design Synthesis (CDS) requires a) a meaningful representation of designs and the design task at hand, b) a careful formulation of grammar rules to synthesize new designs, c) problem specific design evaluations, and d) the selection of an appropriate algorithm to guide the synthesis process. Managing these different aspects of CDS requires not only a detailed understanding of each individual part, but also of the interdependencies between them. In this paper, a new method is presented to analyze the exploration of design spaces in CDS. The method analyzes the designs generated during the synthesis process and visualizes how the design space is explored with respect to a) design characteristics, and b) objectives. The selected algorithm as well as the grammar rules can be analyzed with this approach to support the human designer in successfully understanding and applying a CDS method. The case study demonstrates how the method is used to analyze the synthesis of bicycle frames. Two algorithms are compared for this task. Results demonstrate how the method increases the understanding of the different components in CDS. The presented research can be useful for both novices to CDS to help them gain a deeper understanding of the interplay between grammar rules and guidance of the synthesis process, as well as for experts aiming to further improve their CDS application by improving parameter settings of their search algorithms, or by further refining their design grammar. Additionally, the presented method constitutes a novel approach to interactively visualize design space exploration considering not only designs objectives, but also the characteristics and interdependencies of different designs.

A Spatial Grammar Method for the Computational Design Synthesis of Virtual Soft Robots

2018 ◽  
Author(s):  
Merel van Diepen ◽  
Kristina Shea
Keyword(s):  
Objective Function ◽  
Solution Space ◽  
Computational Design ◽  
Synthesis Process ◽  
Generation Process ◽  
Soft Robots ◽  
Design Synthesis ◽  
Spatial Grammar ◽  
Computational Design Synthesis ◽  
Mass Spring

Soft robots are intrinsically compliant, which makes them suitable for interaction with delicate objects and living beings. The vast design space and the complex dynamic behavior of the elastic body of the robots make designing them by hand challenging, often requiring a large number of iterations. It is thus advantageous to design soft robots using a computational design approach that integrates simulation feedback. Since locomotion is an essential component in many robotic tasks, this paper presents the computational design synthesis of soft, virtual, locomotion robots. Methods used in previous work give little insight into and control over the computational design synthesis process. The generated solutions are also highly irregular and very different to hand-designed solutions. Also, the problem requirements are solely modeled in the objective function. Here, designs are generated using a spatial grammar with a rule set that is deduced from known locomotion principles. Spatial grammars make it possible to define the type of morphologies that are generated. The aim is to generate gaits based on different locomotion principles, e.g. walking, hopping and crawling. By combining a spatial grammar with simulated annealing, the solution space is searched for locomotive designs. The designs are simulated using a mass-spring model with stable self-collision so that all generated designs can be evaluated. The resulting virtual designs exhibit a large variety of expected and unexpected gaits. The grammar is analyzed to understand the generation process and assess the performance. The main contribution of this research is modeling of some of the results in the spatial grammar rather than the objective function. Thus, the process is guided towards a class of designs with extremities for locomotion, without having to define the class explicitly. Further, the simulation approach is new and results in a stable method that accounts for self-collision.

Visualizing Relations Between Grammar Rules, Objectives, and Search Space Exploration in Grammar-Based Computational Design Synthesis1

2016 ◽  
Vol 138 (10) ◽  
Author(s):  
Corinna Königseder ◽  
Kristina Shea
Keyword(s):  
Method Development ◽  
Search Algorithm ◽  
Computational Design ◽  
Search Space ◽  
Synthesis Process ◽  
Design Synthesis ◽  
Grammar Rules ◽  
Computational Design Synthesis ◽  
Design Characteristics ◽  
Selection Of

Design grammars have been successfully applied in numerous engineering disciplines, e.g., in electrical engineering, architecture, and mechanical engineering. A successful application of design grammars in computational design synthesis (CDS) requires (a) meaningful representation of designs and the design task at hand, (b) careful formulation of grammar rules to synthesize new designs, (c) problem-specific design evaluation, and (d) selection of an appropriate algorithm to guide the synthesis process. Determining these different components of a CDS method requires not only a detailed understanding of each individual part but also of the interdependencies between them. In this paper, a new method is presented to support both CDS method development and application. The method analyzes the designs generated during the synthesis process and visualizes how the design space is explored with respect to design characteristics and objectives. The search algorithm as well as the grammar rules are analyzed with this approach. Two case studies, the synthesis of gearboxes and of bicycle frames, demonstrate how the method can be used to analyze the different components of CDS methods. The presented research can analyze the interplay between grammar rules and the search process during method development.

scholarly journals Closed Shell Iron(IV) Oxo Complex with an Fe–O Triple Bond: Computational Design, Synthesis, and Reactivity

2020 ◽  
Vol 59 (51) ◽  
pp. 23137-23144
Author(s):  
Erik Andris ◽  
Koen Segers ◽  
Jaya Mehara ◽  
Lubomír Rulíšek ◽  
Jana Roithová
Keyword(s):  
Triple Bond ◽  
Computational Design ◽  
Closed Shell ◽  
Design Synthesis ◽  
Computational Design Synthesis

Computational design, synthesis and utilization of a magnetic molecularly imprinted polymer on graphene oxide nanosheets for highly selective extraction and determination of buprenorphine in biological fluids and tablets

2018 ◽  
Vol 10 (43) ◽  
pp. 5214-5226 ◽  
Author(s):  
Farideh Ganjavi ◽  
Mehdi Ansari ◽  
Maryam Kazemipour ◽  
Leila Zeidabadinejad
Keyword(s):  
Biological Fluids ◽  
Computational Design ◽  
Selective Extraction ◽  
Graphene Oxide Nanosheets ◽  
Imprinted Polymer ◽  
Design Synthesis ◽  
Molecularly Imprinted ◽  
Plasma And Urine Samples ◽  
Computational Design Synthesis

A magnetic MIP for the selective extraction of buprenorphine (BUP) from real plasma and urine samples and tablets based on computational design as a novel procedure has been developed.

Toward an automated approach to the design of sheet metal components

2003 ◽  
Vol 17 (3) ◽  
pp. 187-204 ◽  
Author(s):  
ADITYA SOMAN ◽  
SWAPNIL PADHYE ◽  
MATTHEW I. CAMPBELL
Keyword(s):  
Sheet Metal ◽  
User Interaction ◽  
Computational Design ◽  
Design Synthesis ◽  
Manufacturing Operations ◽  
Grammar Rules ◽  
Computational Design Synthesis ◽  
Representation Scheme ◽  
Sheet Metal Component ◽  
Synthesis Approach

The design of sheet metal components is perhaps one of the more challenging concurrent activities for design and manufacturing engineers. To aid this design process, a method is developed to encapsulate the constraints of sheet metal that make designing such components a tedious and iterative procedure. This project involves the implementation and testing of a geometric representation scheme for building feasible sheet metal components through the use of 17 grammar rules that capture manufacturing operations like cutting and bending. The implemented system has benefits both as a user interaction tool and as the basis for a computational design synthesis approach for designing sheet metal components. An example of a constructed sheet metal component is shown along with the method for invoking the sheet metal grammar to create this component.

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