Results 51 to 60 of about 149,417 (240)

Enhanced Strength and Corrosion Resistance of Ti‐13Nb‐12Ta‐10Zr‐4Sn Alloy by Aging Treatment

Advanced Engineering Materials, EarlyView.
This work systematically investigates the effect of aging treatment on mechanical properties and corrosion behavior of vacuum arc‐melted Ti‐13Nb‐12Ta‐10Zr‐4Sn alloy. Owing to the increased α″ martensite, strength and corrosion resistance were significantly enhanced by aging treatment.
Yuhua Li, Rong Zhao, Qian Zhang, Haojie Wang, Yujing Liu, Lai‐Chang Zhang   +5 more
wiley   +1 more source

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

Advanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana, Indra Apsite, Leonid Ionov   +2 more
wiley   +1 more source

Implementación de una metodologia de mejora de calidad y productividad en una pyme del sector plastico [PDF]

, 2013
La aplicación de metodologías que permitan la mejora de calidad y productividad de las pequeñas y medianas empresas (PYMEs) de Ecuador es escasa. La empresa objeto de este estudio, Plásticos S.A.
Barragan Robles, Carlos Isaias, Desintonio Leon, Edwin Orlando   +1 more
core   +1 more source

Stretching the Printability Metric in Direct‐Ink Writing with Highly Extensible Yield‐Stress Fluids

Advanced Functional Materials, EarlyView.
This study introduces “drawability” as a new metric for assessing printability in direct‐ink writing, focusing on gap‐spanning performance and speed robustness. By designing yield‐stress fluids with high extensibility, we demonstrate that extensional strain‐to‐break significantly enhances printability.
Chaimongkol Saengow, Samya Sen, Joaquin Yus, Eliza E. Lovrich, Amanda G. Hoika, Kelly M. Chang, Arielle A. Pfeil, Nellie Haug, Amy J. Wagoner Johnson, Randy H. Ewoldt   +9 more
wiley   +1 more source

Diseño Bicicleta Creo Parametric 2.0 [PDF]

, 2015
El trabajo que se ha desarrollado consiste en el estudio de la fase de diseño de un conjunto mecánico como es una bicicleta. El objetivo es el de utilizar la tecnología de impresión en 3D para poder modelar el mayor número de piezas posibles que forman ...
Sanz de Pedro, Ruben Javier
core  

3D‐Printed Sulfur‐Derived Polymers With Controlled Architectures for Lithium‐Sulfur Batteries

Advanced Functional Materials, EarlyView.
Rheology‐guided formulation design for direct ink writing enables the fabrication of 3D sulfur copolymer cathodes with controlled architectures for lithium‐sulfur batteries. The printed electrodes exhibit multiscale porosity and high sulfur utilization, delivering enhanced electrochemical performance compared to conventional cast electrodes.
Bin Ling, Haoran Wang, Pan Yang, Rishav Agrawal, Alex R. Neale, Laurence J. Hardwick, Tom Hasell, Esther García‐Tuñón   +7 more
wiley   +1 more source

Raw materials for the ceramics industry from norte de santander. I. Mineralogical, chemical and physical characterization

Revista Facultad de Ingeniería Universidad de Antioquia, 2016
El presente trabajo estudia las principales características de una arcilla utilizada para la fabricación de piezas cerámicas de construcción del área metropolitana de San José de Cúcuta.
Leonardo Cely-Illera
doaj  

Elaboración de un snack extruido expandido: a base de chocho y gritz de maíz [PDF]

, 2010
This work deals with the development of a salty expanded snack with crunchy texture, ready for human consumption, made from corn grits and Lupine L. mutabilis beans by extrusion process.
Cadena Madonado, Cristina Daniela, Yánez Sotomayor, Santiago Xavier   +1 more
core  

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Study of the Structure-Properties-Processing Relationship of Nanocomposites Based on Poly (Lactic Acid) (PLA) and o-MMT [PDF]

, 2014
En este trabajo se investiga la influencia del procesado y del contenido de nanoarcilla en las propiedades mecánicas de láminas obtenidas por extrusión-calandra a partir de un grado comercial de PLA y una nanoarcilla organomodificada.
Bárcenas-Martínez, Sandra, Franco Urquiza, Edgar A., Gamez-Perez, Jose, Maspoch, Maria Lluïsa, Santana Pérez, Orlando Onofre, Velázquez Infante, Julio César   +5 more
core   +1 more source