Rapid Prototyping Journal: Volume 29 Issue 11
Strapline:
The international journal for research on additive manufacturing and 3D printingTable of contents
Experimental study on the effect of selected sterilization methods on mechanical properties of polylactide FFF specimens
Angela Jadwiga AndrzejewskaBiodegradable polymers are widely used in personalized medical devices or scaffolds for tissue engineering. The manufacturing process should be finished with sterilization…
Design and 3D printing of a modular phantom of a uterus for medical device validation
Sara Candidori, Serena Graziosi, Paola Russo, Kasra Osouli, Francesco De Gaetano, Alberto Antonio Zanini, Maria Laura CostantinoThe purpose of this study is to describe the design and validation of a three-dimensional (3D)-printed phantom of a uterus to support the development of uterine balloon tamponade…
Geometrical analysis in material extrusion process with polylactic acid (PLA)+carbon fiber
Carolina Bermudo Gamboa, Sergio Martín Béjar, Francisco Javier Trujillo Vilches, Lorenzo Sevilla HurtadoThe purpose of this study is to cover the influence of selected printing parameters at a macro and micro-geometrical level, focusing on the dimensions, geometry and surface of…
Investigation on the mechanical performance of mono-material vs multi-material interface geometries using fused filament fabrication
Damira Dairabayeva, Asma Perveen, Didier TalamonaCurrently on additive manufacturing, extensive research is directed toward mitigating the main challenges associated with multi-material in fused filament fabrication which has a…
Experimental and simulative investigation of welding sequences on thermally induced distortions in wire arc additive manufacturing
Xiao Fan Zhao, Andreas Wimmer, Michael F. ZaehThe purpose of this paper is to demonstrate the impact of the welding sequence on the substrate plate distortion during the wire and arc additive manufacturing (WAAM) process…
Multiplanar continuous fiber reinforcement in additively manufactured parts via co-part assembly
Peter G. Kelly, Benjamin H. Gallup, Joseph D. Roy-MayhewMany additively manufactured parts suffer from reduced interlayer strength. This anisotropy is necessarily tied to the orientation during manufacture. When individual features on…
3D-Printed models for left atrial appendage occlusion planning: a detailed workflow
Tommaso Stomaci, Francesco Buonamici, Giacomo Gelati, Francesco Meucci, Monica CarfagniLeft atrial appendage occlusion (LAAO) is a structural interventional cardiology procedure that offers several possibilities for the application of additive manufacturing…
Effect of printing strategies on the properties of product in selective Sorel cement activation
Farid Salari, Paolo Bosetti, Vincenzo M. SglavoParticles bed binding by selective cement activation (SCA) method is a computer-aided manufacturing (CAM) technique used to produce cementitious elements. A computer-aided design…
Using numerical-experimental analysis to evaluate rPET mechanical behavior under compressive stresses and MEX additive manufacturing for new sustainable designs
Jorge Manuel Mercado-Colmenero, M. Dolores La Rubia, Elena Mata-García, Moisés Rodriguez-Santiago, Cristina Martin-DoñateBecause of the anisotropy of the process and the variability in the quality of printed parts, finite element analysis is not directly applicable to recycled materials manufactured…
Static load-carrying behavior and material properties of additively manufactured gears (PBF-LB/M, 16MnCr5)
Markus Brummer, Karl Jakob Raddatz, Matthias Moritz Schmitt, Georg Schlick, Thomas Tobie, Rüdiger Daub, Karsten StahlNumerous metals can be processed using the additive manufacturing process laser-based powder bed fusion of metals (PBF-LB/M, ISO/ASTM 52900). The main advantages of additive…
Multimaterial 3D printing of auxetic jounce bumpers for automotive suspensions
Alberto Giubilini, Paolo MinetolaThe purpose of this study is to evaluate the 3D printability of a multimaterial, fully self-supporting auxetic structure. This will contribute to expanding the application of…
Powder bed defect classification methods: deep learning vs traditional machine learning
Francois Du Rand, André Francois van der Merwe, Malan van TonderThis paper aims to discuss the development of a defect classification system that can be used to detect and classify powder bed surface defects from captured layer images without…
ISSN:
1355-2546e-ISSN:
1758-7670ISSN-L:
1355-2546Online date, start – end:
1995Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditor:
- Professor Ian Gibson