A5033965668- Aluminum Alloy Microstructure Properties
- Metallurgy and Material Forming
- Aluminum Alloys Composites Properties
- Magnesium Alloys: Properties and Applications
- Marine and coastal plant biology
- Marine and coastal ecosystems
- Mineral Processing and Grinding
- Titanium Alloys Microstructure and Properties
- Bone fractures and treatments
- Marine Biology and Ecology Research
- Electromagnetic wave absorption materials
- Coastal wetland ecosystem dynamics
- Natural Fiber Reinforced Composites
- Metal and Thin Film Mechanics
- Advanced Machining and Optimization Techniques
- Fault Detection and Control Systems
- Orthopedic Infections and Treatments
- Machine Fault Diagnosis Techniques
- Metal Forming Simulation Techniques
- Advanced machining processes and optimization
- Advanced Antenna and Metasurface Technologies
- Social Sciences and Policies
- 3D IC and TSV technologies
- Advanced Surface Polishing Techniques
- Powder Metallurgy Techniques and Materials
National University of Distance Education
2020-2024
Universidad de Oviedo
2004-2006
MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsTheme Sections 266:89-101 (2004) - doi:10.3354/meps266089 Retention efficiency of 0.2 6 µm particles by appendicularians Oikopleura dioica and Fritillaria borealis Diego Fernández1,*, Ángel López-Urrutia1,4, Antonio Fernández2, José Luis Acuña1, Roger Harris3 1Área de Ecología, Departamento Biología Organismos y Sistemas,...
Selection of the most suitable material is one key decisions to be taken at design stage a manufacturing process. Traditional approaches as Ashby maps based on properties are widely used in industry. However, production multimaterial components, criteria for selection can include antagonistic approaches. The aim this work implementation methodology results process simulations several materials and classify them by applying an advanced data analytics method Machine Learning (ML), case Support...
This paper investigates the extrusion process to manufacture bimetallic cylinders combining a magnesium alloy core (AZ31B) and titanium sleeve (Ti6Al4V) of interest in aeronautical applications. A robust finite element model has been developed determine most influential parameters study effect them on force damage induced by means Design Experiments (DOE) Taguchi method. The results show that forces are friction between container/die height cylinder; less ones temperature ram speed....
MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsTheme Sections 317:101-110 (2006) - doi:10.3354/meps317101 Grazing impact on chromophoric dissolved organic matter (CDOM) by larvacean Oikopleura dioica Juanita Urban-Rich1,*, Diego Fernández2, José Luis Acuña2 1Environmental, Coastal and Ocean Sciences, University of Massachusetts Boston, 100 Morrissey Boulevard, 02125,...
This paper investigates the effect that selection of die material generates on extrusion process bimetallic cylindrical billets combining a magnesium alloy core (AZ31B) and titanium sleeve (Ti6Al4V) interest in aeronautical applications. A robust finite element model is developed to analyze variation force, damage distribution, wear using different materials. The results show key factor be taken into account multi-material processes. can cause variations force from 8% up 15%, changing...
Roller mills are commonly used in the production of mining derivatives, since one their purposes is to reduce raw materials very small sizes and combine them. This research evaluates mechanical condition a mill containing four rollers, focusing on largest cylindrical roller bearings as main component that causes equipment failure. The objective this work make prognosis when overall vibrations would reach maximum level allowed (2.5 IPS pk), thus enabling planned replacements, achieving...
The selection of the most suitable material is one key decisions to be made during design stage a manufacturing process. Traditional approaches, such as Ashby maps based on properties, are widely used in industry. However, production multi-material components, criteria for can include antagonistic approaches. aim this work implement methodology results process simulations several materials and classify them by applying an advanced data analytics method machine learning (ML)—in case, support...
Multi-material co-extrusion is a complex thermo-mechanical forming process used to obtain bimetallic billets. Its complexity due the combination of diffusion phenomena in interface both materials together with high temperature and pressure generated different flow stress characteristics created by joining dissimilar materials. Accordingly, selection optimal parameters becomes key ensure feasibility. In this work, comparison among multi-criteria decision making (MCDM) methodologies, weighting...
Abstract This paper investigates the extrusion force and damage induced during an process to manufacture bimetallic cylinders combining a titanium alloy sleeve (Ti6Al4V) magnesium core (AZ31B). A study has been carried out determine factor distribution through how this together with are influenced by manufacturing parameters (extrusion ratio, friction die semi-angle) means of finite element (FE) simulations. Also, Taguchi Design Experiments (DoE) Analysis Variance (ANOVA) have performed in...