Results 91 to 100 of about 41,540 (298)

Advances in interlayer bonding in fused deposition modelling: a comprehensive review

Virtual and Physical Prototyping
Fused deposition modeling (FDM) has established itself as a major additive manufacturing technology for the production of parts made of polymer and composite materials.
Mohamed A. E. Omer, Ibrahim Abdelfadeel Shaban, Abdel-Hamid Mourad, Hussien Hegab   +3 more
doaj   +1 more source

Developing tomorrow's innovative surgical solutions [PDF]

, 2009
Designers are increasingly becoming aware of the potential use and integration of smart materials and technologies within their designs. One of the critical steps towards building innovative surgical solutions will be to link physicians and product ...
Breedon, P
core   +2 more sources

Interactions between Molten High‐Silicon Electrical Steels and Carbon‐Bonded MgO Refractories Based on Recyclates

Advanced Engineering Materials, EarlyView.
This study examines how several molten high‐silicon electrical steels interact with both conventional and recycled MgO–C refractories. For this, various immersion experiments are conducted. In addition to infiltration, a number of mechanisms are identified and explained that control the corrosion of the refractory material.
Lukas Neubert, Matheus Roberto Bellé, Anton Yehorov, Anhelina Mospan, Till M. J. Stadtmüller, Seetharaman Sridhar, Christos G. Aneziris, Olena Volkova   +7 more
wiley   +1 more source

3D printing of curved continuous fibre filaments using fused deposition modelling

Materials & Design
Fused deposition modelling (FDM) is a 3D printing technique capable of fabricating intricately shaped composites through the deposition of continuous fibre filaments.
Yiwei Hu, Adrian P. Mouritz, Raj B. Ladani, Yazhi Li, Shaoyu Zhao, Huanxin Zhang   +5 more
doaj   +1 more source

Fatigue performance of ABS specimens obtained by fused filament fabrication [PDF]

, 2018
In this paper, the fatigue response of fused filament fabrication (FFF) Acrylonitrile butadiene styrene (ABS) parts is studied. Different building parameters (layer height, nozzle diameter, infill density, and printing speed) were chosen to study their ...
Domingo Espín, Miquel, Jerez Mesa, Ramón, Llumà Fuentes, Jordi, Travieso Rodriguez, Jose Antonio   +3 more
core   +2 more sources

Influence of Sample Preparation and Processing Procedures on the Thermal Diffusivity of MgO‐C Refractories

Advanced Engineering Materials, EarlyView.
The thermal diffusivity of MgO‐C refractories is highly sensitive to sample preparation and processing procedures. In this article, the effects of coking sequence, machining conditions, structural inhomogeneity, and graphite coating application on measurements using laser flash apparatus are systematically investigated.
Luyao Pan, Rhena Wulf, Till M. J. Stadtmüller, Christos G. Aneziris, Tobias M. Fieback   +4 more
wiley   +1 more source

Using matlab to compute heat transfer In free form extrusion [PDF]

, 2011
Capítulo ...
Costa, Sidonie, Covas, J. A., Duarte, F. M.   +2 more
core   +2 more sources

A Numerical–Experimental Approach for Multi‐Matrix Fiber‐Reinforced Plastics Characterization Using Finite Element Model Updating

Advanced Engineering Materials, EarlyView.
A numerical–experimental framework is developed for characterizing multi‐matrix fiber‐reinforced polymers (MM‐FRPs) combining epoxy and polyurethane matrices. Harmonic bending tests are integrated with finite element model updating (FEMU) to simultaneously identify elastic and viscoelastic material parameters.
Rodrigo M. Dartora, Tales V. Lisbôa, Axel Spickenheuer, Rogério J. Marczak, Jakson M. Vassoler   +4 more
wiley   +1 more source

Geometrical and Dimensional Deviations of Fused Deposition Modelling (FDM) Additive-Manufactured Parts

Metrology
This research investigates the influence of printing parameters and different materials on the geometrical and dimensional deviations of Fused Deposition Modelling (FDM) additive manufacturing.
Radu Emanuil Petruse, Carmen Simion, Ioan Bondrea   +2 more
doaj   +1 more source

A Genetic Algorithm with Design of Experiments Approach to Predict the Optimal Process Parameters for FDM [PDF]

, 2005
This paper describes a Genetic Algorithm (GA) with Design of Experiments (DoE) approach to predict the optimized surface roughness and porosity characteristics of the parts produced using ABS material on stratasys FDM 2000 machine.
Arumaikkannu, G., Gowri, S., Uma Maheshwaraa, N.   +2 more
core