scholarly journals Synthesis and Characterization of Sintered Magnetic Abrasives Used in Advance Finishing Processes Through Powder Metallurgy Route

Author(s):  
Ankit Bansal ◽  
◽  
Ravi Butola ◽  
M S Niranjan ◽  
Qasim Murtaza ◽  
...  

The magnetic field-assisted surface finishing process needs a sintered magnetic abrasive powder which could be a mixture of SiC and CIP particles. Tube furnaces have been used to develop SiC-based sintered magnetic abrasives. The focus of this article is to investigate the anticipated results and to carry out the fabrication setup of sintered magnetic abrasive for the super-finishing of composite materials and their coating. The article depicts a significant effect on the mechanical properties such as microhardness and compressive strength and analyzes SiC and CIP composite-based microstructure. The synthesis of the powder involves four major processes like blending; compaction and sintering. Characterization of sintered magnetic abrasives has been done using SEM, EDS, XRD to study morphology, chemical composition, crystallography, and magnetic properties. The results have been compared with the un-bonded magnetic abrasives. This paper also presents a brief literature review of the state-of-the-art technology of high-performance surface finishing processes used in manufacturing industries. Finally, the downside and stray aspects of the related literature are spotlighted and a list of prospective issues for future research directions is recommended.

2018 ◽  
Vol 2 (4) ◽  
pp. 76 ◽  
Author(s):  
Kai Oßwald ◽  
Ingo Lochmahr ◽  
Yasin Bagci ◽  
Peter Saile

Hand scraping is a manual surface finishing process that, despite its low productivity and high cost, is still applied in many industries because of its advantages concerning accuracy and tribology. In the presented microanalysis forces, movement patterns and tool orientation of individual hand scraping strokes were measured using a test stand, specifically designed for this purpose. It utilizes a camera, a three dimensional dynamometer, and an inertial measurement unit (IMU). The results show the basic characteristics of hand scraping. Typical courses of relevant quantities like cutting force, passive force, clearance, and directional angle are shown. In addition, the movement pattern of the tool during individual scraping strokes is analyzed. This research aims to contribute to a later implementation of automated scraping. The conducted research creates a base for future research regarding different scraping methods and achieved results.


Polymers ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1201 ◽  
Author(s):  
Le Lv ◽  
Wen Dai ◽  
Aijun Li ◽  
Cheng-Te Lin

With the increasing power density of electrical and electronic devices, there has been an urgent demand for the development of thermal interface materials (TIMs) with high through-plane thermal conductivity for handling the issue of thermal management. Graphene exhibited significant potential for the development of TIMs, due to its ultra-high intrinsic thermal conductivity. In this perspective, we introduce three state-of-the-art graphene-based TIMs, including dispersed graphene/polymers, graphene framework/polymers and inorganic graphene-based monoliths. The advantages and limitations of them were discussed from an application point of view. In addition, possible strategies and future research directions in the development of high-performance graphene-based TIMs are also discussed.


Author(s):  
Kleber Roberto Pirota ◽  
Angela Knobel ◽  
Manuel Hernandez-Velez ◽  
Kornelius Nielsch ◽  
Manuel Vázquez

This article describes the fabrication and characterization of magnetic nanowires, focusing on the magnetic properties of patterned arrays of metallic magnetic nanowires electrodeposited into the pores of anodized-alumina membranes. It also discusses the complex magnetization processes, both in isolated nanowires and in collectively patterned arrays. After providing an overview of the state-of-the-art on fabrication techniques of nanowires, the article considers the microstructure of magnetic nanowires and the magnetic properties of single nanowires. It then examines the collective behavior of arrays where the interactions among the magnetic entities play an important role, along with the transport properties of magnetic nanowires, the temperature-dependent effects (such as magnetoelastic-induced anisotropy), and the dynamic properties of magnetization such as ferromagnetic resonance characteristics and spin-wave excitations in ferromagnetic nanowires. Finally, it presents an overview of future research directions.


Author(s):  
Santiago Gutiérrez-Broncano ◽  
Mercedes Rubio-Andrés ◽  
Pedro Jiménez Estévez

Although a lot of research has been carried out in the field of family businesses in recent years, not much of it has focused on human resource management. After compiling the major studies, both negative aspects (e.g. nepotism) and positive ones (e.g. employee commitment) have been identified. Therefore, the authors propose high-performance human resources practices to reduce the negative impact of family in business and boost the positive effects, increase their human capital, and achieve a competitive advantage in this field. Finally, the authors provide key insights for practitioners, family business owners, and managers, and they propose future research directions.


2019 ◽  
Vol 90 (5-6) ◽  
pp. 710-727 ◽  
Author(s):  
Yiwei Ouyang ◽  
Xianyan Wu

In order to review the most effective ways to improve the mechanical properties of composite T-beams and further increase their application potential, research progress on the mechanical properties of textile structural composite T-beams was summarized based on two-dimensional (2-D) ply structure composite T-beams, delamination resistance enhanced 2-D ply structure T-beams, and three-dimensional (3-D) textile structural composite T-beams; future research directions for composite T-beams were also considered. From existing literature, the research status and application bottlenecks of 2-D ply structure composite T-beams and T-beams with enhanced delamination resistance performance were described, as were the specific classification, research progress, and mechanical properties of 3-D textile structural composite T-beams. In addition, the superior mechanical properties of 3-D braided textile structural composite T-beams, specifically their application potential based on excellent delamination resistance capacity, were highlighted. Future research directions for composite T-beams, that is, the applications of high-performance raw materials, locally enhanced design, structural blending enhancement, functionality, and intelligence are presented in this review.


2021 ◽  
Vol 11 (22) ◽  
pp. 10809
Author(s):  
Hugo S. Oliveira ◽  
José J. M. Machado ◽  
João Manuel R. S. Tavares

With the widespread use of surveillance image cameras and enhanced awareness of public security, objects, and persons Re-Identification (ReID), the task of recognizing objects in non-overlapping camera networks has attracted particular attention in computer vision and pattern recognition communities. Given an image or video of an object-of-interest (query), object identification aims to identify the object from images or video feed taken from different cameras. After many years of great effort, object ReID remains a notably challenging task. The main reason is that an object’s appearance may dramatically change across camera views due to significant variations in illumination, poses or viewpoints, or even cluttered backgrounds. With the advent of Deep Neural Networks (DNN), there have been many proposals for different network architectures achieving high-performance levels. With the aim of identifying the most promising methods for ReID for future robust implementations, a review study is presented, mainly focusing on the person and multi-object ReID and auxiliary methods for image enhancement. Such methods are crucial for robust object ReID, while highlighting limitations of the identified methods. This is a very active field, evidenced by the dates of the publications found. However, most works use data from very different datasets and genres, which presents an obstacle to wide generalized DNN model training and usage. Although the model’s performance has achieved satisfactory results on particular datasets, a particular trend was observed in the use of 3D Convolutional Neural Networks (CNN), attention mechanisms to capture object-relevant features, and generative adversarial training to overcome data limitations. However, there is still room for improvement, namely in using images from urban scenarios among anonymized images to comply with public privacy legislation. The main challenges that remain in the ReID field, and prospects for future research directions towards ReID in dense urban scenarios, are also discussed.


Nanophotonics ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 747-769 ◽  
Author(s):  
Henrik Mäntynen ◽  
Nicklas Anttu ◽  
Zhipei Sun ◽  
Harri Lipsanen

AbstractSingle-photon sources are one of the key components in quantum photonics applications. These sources ideally emit a single photon at a time, are highly efficient, and could be integrated in photonic circuits for complex quantum system designs. Various platforms to realize such sources have been actively studied, among which semiconductor quantum dots have been found to be particularly attractive. Furthermore, quantum dots embedded in bottom-up-grown III–V compound semiconductor nanowires have been found to exhibit relatively high performance as well as beneficial flexibility in fabrication and integration. Here, we review fabrication and performance of these nanowire-based quantum sources and compare them to quantum dots in top-down-fabricated designs. The state of the art in single-photon sources with quantum dots in nanowires is discussed. We also present current challenges and possible future research directions.


Author(s):  
Marco Mazzola ◽  
Francesco Aggogeri ◽  
Angelo Merlo ◽  
Bernhard Brunner ◽  
Maria de la O Rodriguez

Reliability and Maintainability analyses are becoming an increasing competitive advantage in machine tool design. In particular, the goal of machine tools for Ultra High Precision Machining is to guarantee high specified performances and to maintain them over life cycle time. A structured reliability approach applied to such complex and innovative systems must be integrated in the early phase of the design. In this paper, the reliability characterization of an adjustable platform for micromilling operations is presented. The platform is intended to improve the surface finishing of the workpiece, through a broadband Active Vibration Control device based on high performance piezoelectric multilayer actuators. The study intends to assess the capability of the system to maintain along the life cycle the appropriate reduction of the chattering vibrations without any shape error. By dividing the system through a morphological-functional decomposition, the critical elements are detected and their reliability issues are extensively discussed. Their lifetimes are described through opportune distributions and models. The study is completed by the quantitative reliability prediction of the overall system. Finally, a sensitivity analysis is performed and reliability allocation implications are evaluated to determine the effect of every component on the system reliability characteristics and life cycle cost.


Metals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 415
Author(s):  
Ivo Stachiv ◽  
Eduardo Alarcon ◽  
Miroslav Lamac

Rapid progress in material science and nanotechnology has led to the development of the shape memory alloys (SMA) and the shape memory polymers (SMP) based functional multilayered structures that, due to their capability to achieve the properties not feasible by most natural materials, have attracted a significant attention from the scientific community. These shape memory materials can sustain large deformations, which can be recovered once the appropriate value of an external stimulus is applied. Moreover, the SMAs and SMPs can be reprogrammed to meet several desired functional properties. As a result, SMAs and SMPs multilayered structures benefit from the unprecedented physical and material properties such as the shape memory effect, superelasticity, large displacement actuation, changeable mechanical properties, and the high energy density. They hold promises in the design of advanced functional micro- and nano-electro-mechanical systems (MEMS/NEMS). In this review, we discuss the recent understanding and progress in the fields of the SMAs and SMPs. Particular attention will be given to the existing challenges, critical issues, limitations, and achievements in the preparation and characterization of the SMPs and NiTi-based SMAs thin films, and their heterostructures for MEMS/NEMS applications including both experimental and computational approaches. Examples of the recent MEMS/NEMS devices utilizing the unique properties of SMAs and SMPs such as micropumps, microsensors or tunable metamaterial resonators are highlighted. In addition, we also introduce the prospective future research directions in the fields of SMAs and SMPs for the nanotechnology applications.


Sensors ◽  
2021 ◽  
Vol 21 (16) ◽  
pp. 5502
Author(s):  
Miaoling Que ◽  
Chong Lin ◽  
Jiawei Sun ◽  
Lixiang Chen ◽  
Xiaohong Sun ◽  
...  

Developing various nanosensors with superior performance for accurate and sensitive detection of some physical signals is essential for advances in electronic systems. Zinc oxide (ZnO) is a unique semiconductor material with wide bandgap (3.37 eV) and high exciton binding energy (60 meV) at room temperature. ZnO nanostructures have been investigated extensively for possible use as high-performance sensors, due to their excellent optical, piezoelectric and electrochemical properties, as well as the large surface area. In this review, we primarily introduce the morphology and major synthetic methods of ZnO nanomaterials, with a brief discussion of the advantages and weaknesses of each method. Then, we mainly focus on the recent progress in ZnO nanosensors according to the functional classification, including pressure sensor, gas sensor, photoelectric sensor, biosensor and temperature sensor. We provide a comprehensive analysis of the research status and constraints for the development of ZnO nanosensor in each category. Finally, the challenges and future research directions of nanosensors based on ZnO are prospected and summarized. It is of profound significance to research ZnO nanosensors in depth, which will promote the development of artificial intelligence, medical and health, as well as industrial, production.


Sign in / Sign up

Export Citation Format

Share Document