A Computational Design Synthesis Method for the Generation of Rigid Origami Crease Patterns

Today most origami crease patterns employed in technical applications are selected from a handful of well-known origami principles. Computational algorithms capable of generating novel crease patterns either target artistic origami, focus on quadrilateral creased paper, or do not incorporate direct knowledge for the purposeful design of crease patterns tailored to engineering applications. The lack of computational methods for the generative design of crease patterns for engineering applications arises from a multitude of geometric complexities intrinsic to origami, such as rigid foldability and rigid body modes, many of which have been addressed by recent work of the authors. Based on these findings, in this paper we introduce a Computational Design Synthesis method for the generative design of novel crease patterns to develop origami concepts for engineering applications. The proposed method first generates crease pattern graphs through a graph grammar that automatically builds the kinematic model of the underlying origami and introduces constraints for rigid foldability. Then, the method enumerates all design alternatives that arise from the assignment of different rigid body modes to the internal vertices. These design alternatives are then automatically optimized and checked for intersection to satisfy the given design task. The proposed method is generic and applied here to two design tasks that are a rigidly foldable gripper and a rigidly foldable robotic arm.

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

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.

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