515 research outputs found
Compressive properties of parametrically optimised mechanical metamaterials based on 3D projections of 4D geometries
No full textThis data set includes raw data with explantory text and diagrams for the engrXiv preprint, "Compressive properties of parametrically optimised mechanical metamaterials based on 3D projections of 4D geometries" by Gabrielis Cerniauskas and Parvez Alam (https://doi.org/10.31224/2796). The abstract for this paper is as follows:
The design process of 3D mechanical metamaterials is still an emerging field and in this paper, we propose for the first time, a new design and optimisation approach based on 3D projections of 4D geometries (4-polytopes) and evolutionary algorithms. We find that through iterative parametric optimisation, 4-polytope projected mechanical metamaterials can be optimised to achieve both high specific stiffness and high specific yield strengths. Samples manufactured using a low-stereolithography method were tested in compression. We find that optimised tesseracts (8-cell structures) had a higher specific yield strength (22.8 kNm/kg) than that of honeycomb structures tested out-of-plane (19.4 kNm/kg) and a specific stiffness of (0.68 MNm/kg) which is more than 3-fold that of gyroid structures. The compressive strength to solid-modulus ratio of the 8-cell tesseract is very high (3×10−3), exceeding that of out-of-plane honeycombs, which are themselves closer in value to 5-cell pentatopes (2×10−3). 8-cell and 5-cell structures are in the region of one order of magnitude higher than 16-cell and 24-cell structures (∼ 2 × 10−4 − 8 × 10−4) and are hence comparable to nanostructured metamaterials. The 8-cell tesseracts are 18% stiffer, 43% stronger, and 19% tougher in compression than out-of-plane honeycomb structures, but unlike honeycombs, 8-cell tesseracts are 3D structures with cubic symmetry. Architecture has a profound effect on the relative consistency of properties with cubically symmetric structures displaying the greatest levels of consistency in terms of both strength and stiffness reduction as a function of pore space. The results presented in this paper showcase the potential of this new class of mechanical metamaterial based on 3D projected 4-polytopes
The influence of claw morphology on gripping efficiency
No full textThe dataset relates to the paper Graham Turnbull, Sutejas Chari, Zehao Li, Ziyue Yang, Catharina Maria Alam, Christofer J. Clemente, Parvez Alam (2023). "The influence of claw morphology on gripping efficiency". Biology Open (DOI: 10.1242/bio.059874). The paper considers the effects of claw morphology on the gripping efficiency of arboreal (V. varius) and burrowing (V. gouldii and V. panoptes) lizards. To ensure a purely morphological comparison between the lizards, we circumvent the material effects of claws from different species, by modelling and testing claw replicates of the same material properties. We correlate climbing efficiency to critical morphological features including; claw height (hc), width (wc), length (lc), curvature (∠C) and tip angle (γ), which are expressed as ratios to normalise mechanically beneficial claw structures. We find that there is strong correlation between the static grip force Fsg and the claw aspect and the cross-sectional rigidity ratio , and milder correlation (i.e. higher scatter) with the profile rigidity ratio . These correlations are also true for the interlocking grip force Fint over different shaped and sized protuberances, though we note that certain protuberance size-shape couplings are of detriment to the repeatability of Fint. Of the three lizard species, the claws of the arboreal (V. varius) are found to be superior to those of the burrower lizards (V. gouldii and V. panoptes) as a result of the V. varius claws having a smaller aspect, a higher corss-sectional rigidity ratio and a small profile rigidity ratio, which are deemed noteworthy morphological parameters that influence a claw's ability to grip effectively. The research was funded by the ARC discovery grant (grant numbers: DP180100220 - awarded to Dr. Christofer Clemente, USC, Australia)
Making Circular Streams
Get PDFDr Parvez Alam talks about finding solutions to the Indonesian plastic waste crisis through practicable circular economic models
Entering the fourth dimension
Get PDFDr Parvez Alam FIMMM from The University of Edinburgh discusses a new inspiration for mechanical metamaterial design - fourth dimensional geometries.<br/
Entering the fourth dimension
No full textDr Parvez Alam FIMMM from The University of Edinburgh discusses a new inspiration for mechanical metamaterial design - fourth dimensional geometries.<br/
Hacking into e-waste
Get PDFHackerspace community initiatives are tacklong our planet's ever-growing stockpiles of e-waste. Dr Parvez Alam explores some of the inspiring solutions
Writing wrongs:upskilling Kenya to reduce medical equipment imports
Get PDFIn a bid to reduce Kenya's dependence on imported biomedical equipment, Dr Parvez Alam FIMMM at The University of Edinburgh, UK, puts pen to paper about a project looking to enhance local skills in biomedical engineering
Cubically symmetric mechanical metamaterials projected from 4th dimensional geometries reveal high specific properties in shear
No full textReduced density significantly compromises the mechanical properties of ordinary materials as their structural components undergo bending when subjected to shear loading. In this paper, we present an emerging class of cubically symmetric mechanical metamaterial, based on 3-space geometrical shadows of 4th dimensional geometries (4-polytopes) that are optimised for high shear resistance and minimised weight. We show that by employing a genetic algorithm-based optimisation framework, the mechanical metamaterials can achieve an increase of more than 40-fold in their specific shear properties. Experimental results reveal that the metamaterial structure with the highest specific shear resistance, the 5-cell (pentatope), exhibits specific shear stiffness that is almost 2-fold higher than that of a gyroid, while the 8-cell (tesseract) structure exhibits the highest specific shear yield strength that is 2.4 times higher than that of a hexagonal honeycomb tested in the out-of-plane direction. The dataset relates to the publication "Cubically symmetric mechanical metamaterials projected from 4th dimensional geometries reveal high specific properties in shear" (https://doi.org/10.31224/3035) by the same authors.The data set consists of:
Files include:
Shear_Simulation_data.XLSX - this file contains shear stress-shear strain data for the 3D projected 4-polytope simulations in shear, and further information on their apparent and relative densities as computed.
Shear_Experimental_data.XLSX - this file contains shear stress-shear strain data for the 3D projected 4-polytope experiments in shear, and further information on their apparent and relative densities as measured.
PNG files showing the evolution of 3D projected 4-polytope for 5, 8, 16 and 24 cell metamaterial structures, specifically:
5cellOpt-0-100percentShear.PNG
8cellOpt-0-100percentShear.PNG
16cellOpt-0-100percentShear.PNG
24cellOpt-0-100percentShear.PNG
PNG files describing the sample parameters in diagramatic and tabular form of 3D projected 4-polytope for 5, 8, 16 and 24 cell metamaterial structures (optimised for shear loading), specifically:
Sample-parameters.PNG
Sample-parameters-Table.PNG
Excel files containing raw optimisation data from genetic algorithms of 3D projected 4-polytope detailing geometries for 5, 8, 16 and 24 cell metamaterial structures, specifically:
5cellOptDataShear.XLSX
8cellOptDataShear.XLSX
16cellOptDataShear.XLSX
24cellOptDataShear.XLS
AInsectID - a free to use species identification, image analysis and colour mapping software
No full textAInsectID is a GUI based software that with this initial release, can be used to identify (currently 122) insect species. The software can also be used for color processing and analyses of insect body parts such as wings, and additionally includes a simple image analysis giving users the flexibility to both automatically and manually quantify the geometrical features within the image. In a world bustling with diverse insect species, accurate identification is important. This software uses AI to revolutionize the way we identify insects with up to 99.64% accuracy (determined through validation testing). AInsectID represents a significant leap forward in insect species identification. Traditional methods require any of: specialized taxonomical knowledge, time-consuming morphological and geographical characterization methods, genetic barcoding expertise, or even in some cases, destructive sampling. With AInsectID, machine learning and deep learning algorithms are used to identify and classify insect species based on their morphological features, This process is fast, highly accurate, and is now freely accessible to a broader audience. This is a software that we will update over time, this is Version 1. The dataset contains free to use software developed at The University of Edinburgh entitled AInsectID. The software comes with the following functionality: (1) Insect species identification (2) image analysis and morphometric analysis tools (3) colour mapping and colour manipulation tools. This is the first version of the software release. A user manual is provided with the software.The following is also listed in the READ ME txt file and the READ ME pdf included in the submission.
1. for_redistribution:
The for_redistribution folder is a standard folder generated by MATLAB Compiler when we compile MATLAB App Designer app for deployment. This folder contains files and resources needed for redistributing and deploying standalone application to other computers. When we use MATLAB Compiler to create a standalone application It bundles the necessary files into a distribution package that can be installed and run on computers without MATLAB installed. The for_redistribution folder is part of this distribution package, and it typically includes MyAppInstaller_mcr. It contains all supporting additional files required for the application to run, such as data files, configuration files, or any other dependencies.
• MyAppInstaller_mcr: This is an executable file that helps install MATLAB application on the target machine, consists of compiled version of MATLAB App Designer app along with all necessary MATLAB Runtime files. The MyAppInstaller_mcr executable file is typically generated by MATLAB Compiler when we create an installer for MATLAB App Designer application. This file is part of the deployment package and is used to install the MATLAB Compiler Runtime (MCR) on a target machine. The MCR is a set of shared libraries and files that allow compiled MATLAB application to run on a machine without a full installation of MATLAB. This runtime is necessary for running compiled MATLAB applications. After installing the MCR, the installer proceed to install compiled MATLAB App Designer application on the target machine. The installer ensures that all dependencies required by application are present on the target machine. This include MATLAB Compiler Runtime files and any additional support files needed for app.
2. for_redistribution_files_only:
The for_redistribution_files_only folder in the context of MATLAB App Designer and MATLAB Compiler refers to a folder that contains only the files necessary for redistributing compiled MATLAB application, excluding the
installer executable. Unlike the for_redistribution folder, the for_redistribution_files_only folder does not include an installer executable. Users need to manually handle the deployment and execution of the application.
This folder is useful only when the target machine already have MATLAB Compiler Runtime (MCR) installed. Users can manually copy the contents of this folder to a target machine and run the application without going through an installation process. Otherwise user needs to install MyAppInstaller_mcr from for_redistribution folder.
The for_redistribution_files_only folder includes:
• AInsectID.exe: This executable is the compiled version of MATLAB application. Users can manually copy the AInsectID.exe to a target machine and run the application without a formal installation process, if the MATLAB Compiler Runtime (MCR) or MATLAB is already installed in the target machine. This exe file encapsulates the compiled version of MATLAB code and additional files required for the application to run, such as data files, configuration files, or other dependencies.
• Code files: CNN0.mlapp, CNN1.mlapp, CNN2.mlapp, CNN3.mlapp, CNN4.mlapp, CNN5.mlapp, CNN5A.mlapp, and CNN6.mlapp are MATLAB app designer code file. These files contain codes and documentations required to design application.
• readme.txt: It is a text file that typically contains important information about application. The README file provides essential details about the software, such as how to install and run the software, key features, dependencies, and any other relevant information.
• Splash.png: It is an image that represents software logo.
3. for_testing:
The for_testing contains AInsectID.exe files to test application. The folder contains all the intermediate and final artifacts such as binaries, JAR files, header files, and source files for a specific target. The final artifacts created during the packaging process are the same files as described in for_redistribution_files_only Folder.
• mccExcludedFiles.log: In MATLAB Compiler, the mccExcludedFiles configuration option is used to specify files that
should be excluded from the compilation process when creating a standalone executable. This option is particularly useful when there are files in MATLAB software that are not intended to be included in the compiled application. The list of files specified in mccExcludedFiles excluded from the generated standalone executable
Writing wrongs:upskilling Kenya to reduce medical equipment imports
Get PDFIn a bid to reduce Kenya's dependence on imported biomedical equipment, Dr Parvez Alam FIMMM at The University of Edinburgh, UK, puts pen to paper about a project looking to enhance local skills in biomedical engineering
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