Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2022Multi-response optimization of shrinkage, clamp force, and part weight in simulated injection molding process of a dialysis micro-filter6citations

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Chart of shared publication
Davachi, Seyed Mohammad
1 / 8 shared
Kelsey, Lachlan J.
1 / 1 shared
Doyle, Barry
1 / 9 shared
Shiroud Heidari, Behzad
1 / 9 shared
Chart of publication period
2022

Co-Authors (by relevance)

  • Davachi, Seyed Mohammad
  • Kelsey, Lachlan J.
  • Doyle, Barry
  • Shiroud Heidari, Behzad
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article

Multi-response optimization of shrinkage, clamp force, and part weight in simulated injection molding process of a dialysis micro-filter

  • Davachi, Seyed Mohammad
  • Kelsey, Lachlan J.
  • Doyle, Barry
  • Shiroud Heidari, Behzad
  • Bappoo, Nikhilesh
Abstract

<p>Air traps play a critical role in controlling air bubbles and clots in hemodialysis systems. The quality of the micro-filter, an injection molded part inside the air trap, influence the potential risk of passing emboli to the patient, which can result in serious complications. The aim of this work is optimizing the simulated injection molding process of a dialysis micro-filter based on minimizing the shrinkage, part weight, and clamping force to maximize the part quality. First, micro-computed tomography is used to diagnose defects of a typical micro-filter due to the molding process. Next, the injection molding of micro-filter is simulated via Autodesk Moldflow Adviser (AMA) to obtain the responses, and the interactions of the process factors are then determined by central composite design (CCD). The injection time is the most significant influence on the responses. Multi-response optimization results for the equal weights of the responses show the minimum shrinkage, part weight, clamp force of 8.84%, 0.744 g and 0.625 tonne, respectively, with composite desirability of 0.61. Finally, the predicted values using regression models are successfully validated via AMA, offering the optimal process settings to produce high quality dialysis micro-filter to reduce the risk of passing emboli to patients.</p>

Topics
  • impedance spectroscopy
  • tomography
  • composite
  • defect
  • injection molding
  • dialysis