A Component Taxonomy as a Framework for Computational Design Synthesis

Author(s):  
Tolga Kurtoglu ◽  
Matthew I. Campbell ◽  
Cari Bryant Arnold ◽  
Robert B. Stone ◽  
Daniel A. Mcadams

In this paper, we present our findings on the development of a taxonomy for electromechanical components. In building this taxonomy, we have two main objectives: First, we strive to establish a framework for future computational tools that archive, search, or reuse component knowledge during the conceptual phase of design. Second, we aim to define a standard vocabulary that derives uniformity and consistency in the representation of electromechanical component space. Through both empirically dissecting existing products and defining categories based on functional analysis, we defined 135 generic component types. The use and necessity of the resulting taxonomy by a suite of computational design tools are illustrated in two applications of conceptual design.

2019 ◽  
Vol 10 (2) ◽  
pp. 896-908
Author(s):  
Raghava Doonaboyina ◽  
Abhilasha Mittal ◽  
Sridhar Babu Gummadi

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.


2020 ◽  
Vol 59 (51) ◽  
pp. 23137-23144
Author(s):  
Erik Andris ◽  
Koen Segers ◽  
Jaya Mehara ◽  
Lubomír Rulíšek ◽  
Jana Roithová

2018 ◽  
Vol 10 (43) ◽  
pp. 5214-5226 ◽  
Author(s):  
Farideh Ganjavi ◽  
Mehdi Ansari ◽  
Maryam Kazemipour ◽  
Leila Zeidabadinejad

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.


Author(s):  
ADITYA SOMAN ◽  
SWAPNIL PADHYE ◽  
MATTHEW I. CAMPBELL

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.


Author(s):  
Matthew I. Campbell ◽  
Advait Limaye

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.


2019 ◽  
Vol 141 (10) ◽  
Author(s):  
Merel van Diepen ◽  
Kristina Shea

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.


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