Data and code underlying the publication: Rapid Prototyping of a Twin-Screw Granulator for lab-scale research

doi:10.4121/4bfdbdc1-7b23-4fc0-82e0-b0956308a341.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/4bfdbdc1-7b23-4fc0-82e0-b0956308a341
Datacite citation style:
Plath, Timo; Lansink, Matthijs; Fokkink, Harm; Hermans, Joep; Imankarijo, Siddieq et. al. (2024): Data and code underlying the publication: Rapid Prototyping of a Twin-Screw Granulator for lab-scale research. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/4bfdbdc1-7b23-4fc0-82e0-b0956308a341.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

Twin-screw wet granulation has emerged as a promising solution for continuous manufacturing in the pharmaceutical sector, characterised by its flexibility and ability to produce granules with improved quality and homogeneity. However, challenges related to product formulations and twin-screw geometry affect granule properties, making lab-scale experiments costly. The study underlying this dataset explores the feasibility of using additive manufacturing to develop a functional and transparent twin-screw granulator for lab-scale research. Various printing methods, namely selective laser sintering, fused deposition modelling, and stereolithography, were evaluated for their manufacturing accuracy and surface roughness. An additive manufacturable twin-screw granulator design is proposed based on the Pharma 11 by Thermo Scientific Fisher. The granulator was successfully printed and tested in dry granulation experiments with sesame and canihua, revealing challenges such as gear slip. While the prototype serves as a proof of concept, some optimisation opportunities remain. This dataset contains all CAD files to construct your own twin-screw granulator for lab-scale research. Furthermore, it contains fully working copies of python tools and data (roughness data, measurement data) to plot the figures of the study, verify integrity and make this dataset reusable according to the FAIR principles.

history
  • 2024-11-06 first online, published, posted
publisher
4TU.ResearchData
format
Spreadsheets (.csv, .xlsx), images (.eps, .jpg), code files (.py), video (.mp4) and CAD files (.STL, .STEP, .SLDASM, .SLDPRT)
funding
  • Virtual Prototyping of Particulate Processes (ViPr) – Design and Optimisation via Multiscale Modelling and Rapid Prototyping (grant code 16604) [more info...] Dutch Research Council
organizations
University of Twente, Faculty of Engineering Technology, Department of Thermal and Fluid Engineering (TFE)

DATA

files (1)