A Spatial Grammar for the Computational Design Synthesis of Vise Jaws

2013 ◽  
Author(s):  
Thomas Gmeiner ◽  
Kristina Shea
Keyword(s):  
Low Cost ◽  
Computational Design ◽  
Design Synthesis ◽  
Industry Standard ◽  
Solid Models ◽  
Spatial Grammar ◽  
Cylindrical Parts ◽  
Batch Sizes ◽  
Computational Design Synthesis ◽  
3D Solid

For the machining and assembly of mechanical parts, their secure fixation in a defined position is crucial. To achieve this task, flexible fixture devices (FFDs) are the industry standard for small and medium batch-sizes. Unlike dedicated fixtures, FFDs allow for the fixation of different part shapes, increasing their applicability and economic efficiency. Aiming to create a low-cost and autonomous FFD, a reconfigurable vise with adaptable jaws was developed. The jaws can be machined to a variety of shapes to securely hold prismatic and cylindrical parts. In this paper, a spatial grammar approach for the computational design synthesis of these customizable jaws is presented. Different sets of rules for the generation of 3D solid models of vise jaws based on the model of the workpiece to be held are developed and realized in a CAD environment. The approach is verified by generating jaw designs for example parts.

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

2019 ◽  
Vol 141 (10) ◽  
Author(s):  
Merel van Diepen ◽  
Kristina Shea
Keyword(s):  
Degrees Of Freedom ◽  
Computational Design ◽  
Simulation Method ◽  
Search Space ◽  
Search Process ◽  
Design Synthesis ◽  
Spatial Grammar ◽  
Three Stages ◽  
Computational Design Synthesis ◽  
Simulation Feedback

Soft locomotion robots are intrinsically compliant and have a large number of degrees of freedom. They lack rigid components that provide them with higher flexibility, and they have no joints that need protection from liquids or dirt. However, the hand-design of soft robots is often a lengthy trail-and-error process. This work presents the computational design of virtual, soft locomotion robots using an approach that integrates simulation feedback. The computational approach consists of three stages: (1) generation, (2) evaluation through simulation, and (3) optimization. Here, designs are generated using a spatial grammar to explicitly guide the type of solutions generated and exclude infeasible designs. The soft material simulation method developed and integrated is stable and sufficiently fast for use in a highly iterative simulated annealing search process. The resulting virtual designs exhibit a large variety of expected and unexpected gaits, thus demonstrating the method capabilities. Finally, the optimization results and the spatial grammar are analyzed to understand and map the challenges of the problem and the search space.

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.

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.

scholarly journals Computational design, Synthesis of 4,6-dihydroxy-2-phenyl-1-benzofuran-3(2H)-one derivatives as new leads for anti-cancer activity

2019 ◽  
Vol 10 (2) ◽  
pp. 896-908
Author(s):  
Raghava Doonaboyina ◽  
Abhilasha Mittal ◽  
Sridhar Babu Gummadi
Keyword(s):  
Hydrochloric Acid ◽  
Sodium Acetate ◽  
Cancer Cell Line ◽  
Computational Design ◽  
Computational Tools ◽  
Design Synthesis ◽  
Anti Cancer ◽  
Phenyl Acetonitrile ◽  
Computational Design Synthesis ◽  
Cancer Activity

Benzofuranone is a bicyclic ring where a benzene ring fused with a furanone. Computation chemistry plays a major role in the development of new lead molecules. Computational tools docking, virtual screening, ADMET prediction are utilised in the identification of new lead molecules. Synthetic chemistry plays a major in developing a series of potent anti-cancer agents. Benzofuranone was synthesized by reacting benzene diols, and triols with bromo phenyl acetonitrile yielded an imine derivative are converted to a ketone with treatment with hydrochloric acid then cyclised with sodium acetate. The compounds identity and purity were confirmed by spectral and analytical methods. Benzofuranone derivatives are screened antineoplastic activity was performed against human skin cancer cell line G361 at micro molecular concentrations. The compounds IA, IB, ID, IE, IF, was found to be with potent activity.

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.

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