| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Doyle, Barry
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2023Novel hybrid biocomposites for tendon graftscitations
- 2023Silane-modified hydroxyapatite nanoparticles incorporated into polydioxanone/poly(lactide-co-caprolactone) creates a novel toughened nanocomposite with improved material properties and in vivo inflammatory responsescitations
- 2022The Technological Advancement to Engineer Next-Generation Stent-Graftscitations
- 2022Bioprinting silk fibroin using two-photon lithography enables control over the physico-chemical material properties and cellular responsecitations
- 2022Multi-response optimization of shrinkage, clamp force, and part weight in simulated injection molding process of a dialysis micro-filtercitations
- 2018Mechanical behaviour of alginate-gelatin hydrogels for 3D bioprintingcitations
- 2017Constitutive modelling of lamb aorta
- 2015Determining the influence of calcification on the failure properties of abdominal aortic aneurysm (AAA) tissuecitations
- 2013On the prediction of monocyte deposition in abdominal aortic aneurysms using computational fluid dynamicscitations
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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
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>