People | Locations | Statistics |
---|---|---|
Naji, M. |
| |
Motta, Antonella |
| |
Aletan, Dirar |
| |
Mohamed, Tarek |
| |
Ertürk, Emre |
| |
Taccardi, Nicola |
| |
Kononenko, Denys |
| |
Petrov, R. H. | Madrid |
|
Alshaaer, Mazen | Brussels |
|
Bih, L. |
| |
Casati, R. |
| |
Muller, Hermance |
| |
Kočí, Jan | Prague |
|
Šuljagić, Marija |
| |
Kalteremidou, Kalliopi-Artemi | Brussels |
|
Azam, Siraj |
| |
Ospanova, Alyiya |
| |
Blanpain, Bart |
| |
Ali, M. A. |
| |
Popa, V. |
| |
Rančić, M. |
| |
Ollier, Nadège |
| |
Azevedo, Nuno Monteiro |
| |
Landes, Michael |
| |
Rignanese, Gian-Marco |
|
Elkaseer, Ahmed
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (14/14 displayed)
- 2022Part Tailoring in Metal-Additive Manufacturing: A Step towards Functionally Graded Customized Stainless-Steel Components Using Laser Powder Bed Fusion
- 2022Part Tailoring in Metal-Additive Manufacturing: A Step towards Functionally Graded Customized Stainless-Steel Components Using Laser Powder Bed Fusion
- 2022Multiobjective Optimization of Laser Polishing of Additively Manufactured Ti-6Al-4V Parts for Minimum Surface Roughness and Heat-Affected Zonecitations
- 2021Elucidation of dross formation in laser powder bed fusion at down-facing surfaces : Phenomenon-oriented multiphysics simulation and experimental validationcitations
- 2020Software Toolkit for Visualization and Process Selection for Modular Scalable Manufacturing of 3D Micro-Devicescitations
- 2020Development of Precision Additive Manufacturing Processescitations
- 2020Principles and Characteristics of Different EDM Processes in Machining Tool and Die Steels
- 2019Software Toolkit for Visualization and Process Selection for Modular Scalable Manufacturing of 3D Micro-Devicescitations
- 2018Replication of Overmolded Orthopedic Implants with a Functionalized Thin Layer of Biodegradable Polymercitations
- 2016Material microstructure effects in micro-endmilling of Cu99.9Ecitations
- 2014Modeling the surface generation process during AFM probe-based machining: simulation and experimental validationcitations
- 2013Effect of material microstructure on the micro-EDM process
- 2010Material Microstructure Effect-based Investigation of Tool Wear in Micro-endmilling of Multi-phase Materialscitations
- 2009Micromilling of coarse-grained and ultrafine-grained Cu99.9E: Effects of material microstructure on machining conditions and surface quality
Places of action
Organizations | Location | People |
---|
article
Replication of Overmolded Orthopedic Implants with a Functionalized Thin Layer of Biodegradable Polymer
Abstract
The present paper reports on the development of a biodegradable overmolded orthopedic implant: a metal bone fixing screw, which has been overmolded with a functionalized thin layer of biodegradable polymer to enhance cell adhesion during the healing process. The main challenges were to integrate precise, high-throughput and repeatable solutions to achieve a thin, defect-free structured polymer layer and to ensure a high and consistent implant quality. The work carried out entailed determining proper materials (Purasorb PDLG 5010) for the biodegradable overmolding layer and its economical substitute (NaKu PLA 100HF) to be used during initial tool and process development, designing the surface structure of the overmolded polymer layer, development of injection molding tools, as well as feeding and handling procedures. The injection overmolding process of Purasorb PDLG 5010 polymer was controlled, and the process parameters were optimized. In particular, the dominant process parameters for the overmolding, namely injection pressure, barrel temperature and mold temperature, were experimentally examined using a circumscribed three-factor central composite design and two quality marks; overmolding roughness and mass of polymer. The analysis of the experimental results shows that the mass of the overmolding is not feasible for use as the quality mark. However, the optimal parameters for the overmolding of a metallic implant screw with a thin, micro-structured polymer layer with a predefined roughness of the surface texture have been identified successfully.