Publications by authors named "Arun Srinivasa"

Article Synopsis
  • Shape memory polymers (SMPs) have advantages like low density and easy processing but lack mechanical strength compared to shape memory alloys, making reinforcement with materials like inorganic nanowires and carbon nanotubes (CNTs) a promising approach for improving their properties.* ! -
  • The typical method of creating SMP composites (SMPCs) by mixing nanowires with monomers results in only slight mechanical improvements due to the limitations of mixing rules.* ! -
  • A new fabrication technique is introduced, which uses pre-fabricated nanowire foams combined with SMPs, leading to a 300% improvement in elastic modulus, significantly surpassing traditional methods.* !
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We propose a point cloud and mesh generation algorithm, particle injection mesh generator (PIMesh), that can be used to generate optimized high-quality point clouds and unstructured meshes for domains in any shape with minimum (or even no) user intervention. The domains can be scanned images in OBJ format in 2D and 3D or just a line drawing in 2D. Mesh grading can also be easily controlled.

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Current methods for distinguishing acute coronary syndromes such as heart attack from stable coronary artery disease, based on the kinetics of thrombin formation, have been limited to evaluating sensitivity of well-established chemical species (e.g., thrombin) using simple quantifiers of their concentration profiles (e.

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Fiber network theory was developed to describe cloth, a thin material with strength in the fiber directions. The interosseous ligament (IOL) of the forearm is a broad, thin ligament with highly aligned fibers. The objectives of this study were to develop a model of the stress and strain distributions in the IOL, based on fiber network theory, to compare the strains from the model with the experimentally measured strains, and to evaluate the force distribution across the ligament fibers from the model.

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