Generic production process for 3D woven nodal elementary and derivative structures

2016 ◽  
Vol 50 (29) ◽  
pp. 4103-4121 ◽  
Author(s):  
Lindsey Waterton Taylor ◽  
Xiaogang Chen
Keyword(s):  
Production Process ◽  
State Of The Art ◽  
Three Dimensional ◽  
Truss Structures ◽  
Two Dimensional ◽  
Nodal Structure ◽  
Fully Integrated ◽  
Current State ◽  
Weaving Technology ◽  
Boundary Lines

Current state of the art within textile truss structures requires a variety of production, assembly and joining processes to conclude in a fully integrated truss configuration. This approach sees the joining and bonding of separate struts to node parts. The node is the connecting area which accommodates the strut-to-strut intersections. A production process of separate truss components (struts and nodes) inherently has constraints, such as increased labour, bonding issues and longevity of product. In the development of a fully integrated textile truss, the utilisation of conventional weaving technology and production principles allowed the development of the three-dimensional woven nodal truss structure. The three-dimensional woven nodal truss structure’s node and nodal segmentation, defined by boundary lines provided defined areas within the weaving width, length and depth for the assignment of weave architectures. The commonalities within the production of varying strut-to-strut intersections and strut-to-strut variable dimensions within a T-shaped and K-shaped nodal configuration provide the foundations for the development of elementary nodes for other three-dimensional woven nodal truss structures. The development of the generic procedure and application of the three-dimensional-to-two-dimensional-to-three-dimensional nodal structure production process and elementary nodes will be presented within this article.

scholarly journals Tip-Based Nanomachining on Thin Films: A Mini Review

2021 ◽  
Author(s):  
Shunyu Chang ◽  
Yanquan Geng ◽  
Yongda Yan
Keyword(s):  
Thin Film ◽  
Thin Films ◽  
Data Storage ◽  
Three Dimensional ◽  
Maintenance Cost ◽  
Two Dimensional ◽  
Force Microscopy ◽  
Atomic Force ◽  
Current State ◽  
Two Dimensional Materials

AbstractAs one of the most widely used nanofabrication methods, the atomic force microscopy (AFM) tip-based nanomachining technique offers important advantages, including nanoscale manipulation accuracy, low maintenance cost, and flexible experimental operation. This technique has been applied to one-, two-, and even three-dimensional nanomachining patterns on thin films made of polymers, metals, and two-dimensional materials. These structures are widely used in the fields of nanooptics, nanoelectronics, data storage, super lubrication, and so forth. Moreover, they are believed to have a wide application in other fields, and their possible industrialization may be realized in the future. In this work, the current state of the research into the use of the AFM tip-based nanomachining method in thin-film machining is presented. First, the state of the structures machined on thin films is reviewed according to the type of thin-film materials (i.e., polymers, metals, and two-dimensional materials). Second, the related applications of tip-based nanomachining to film machining are presented. Finally, the current situation of this area and its potential development direction are discussed. This review is expected to enrich the understanding of the research status of the use of the tip-based nanomachining method in thin-film machining and ultimately broaden its application.

Incorporation of Depth in Two Dimensional Video Captures

2016 ◽  
pp. 88-109
Author(s):  
Manami Barthakur ◽  
Kandarpa Kumar Sarma
Keyword(s):  
Literature Review ◽  
Three Dimensional ◽  
Video Image ◽  
Stereoscopic Vision ◽  
Two Dimensional ◽  
Video Images ◽  
Current State ◽  
State Of Research ◽  
Generic System ◽  
2D To 3D

Stereoscopic vision in cameras is an interesting field of study. This type of vision is important in incorporation of depth in video images which is needed for the ability to measure distances of the object from the camera properly i.e. conversion of two dimensional video image into three dimensional video. In this chapter, some of the basic theoretical aspects of the methods for estimating depth in 2D video and the current state of research have been discussed. These methods are frequently used in the algorithms for estimating depth in the 2D to 3D video techniques. Some of the recent algorithms for incorporation depth in 2D video are also discussed and from the literature review a simple and generic system for incorporation depth in 2D video is presented.

scholarly journals Modern Scientific Visualizations on the Web

Informatics ◽  
2020 ◽  
Vol 7 (4) ◽  
pp. 37
Author(s):  
Loraine Franke ◽  
Daniel Haehn
Keyword(s):  
Scientific Visualization ◽  
State Of The Art ◽  
Three Dimensional ◽  
Emerging Technology ◽  
Research Field ◽  
Future Directions ◽  
Web Based ◽  
Current State ◽  
Visualization Systems ◽  
The Web

Modern scientific visualization is web-based and uses emerging technology such as WebGL (Web Graphics Library) and WebGPU for three-dimensional computer graphics and WebXR for augmented and virtual reality devices. These technologies, paired with the accessibility of websites, potentially offer a user experience beyond traditional standalone visualization systems. We review the state-of-the-art of web-based scientific visualization and present an overview of existing methods categorized by application domain. As part of this analysis, we introduce the Scientific Visualization Future Readiness Score (SciVis FRS) to rank visualizations for a technology-driven disruptive tomorrow. We then summarize challenges, current state of the publication trend, future directions, and opportunities for this exciting research field.

Products and Process for Guala Closures: An Overview of Aluminum Closures Production and the Drive for Innovation

2016 ◽  
Vol 710 ◽  
pp. 198-203
Author(s):  
Francesco Bove ◽  
Carlo Tagliabue ◽  
Maurizio Mittino
Keyword(s):  
Production Process ◽  
Technological Innovation ◽  
State Of The Art ◽  
Production Capacity ◽  
Current State ◽  
Production Processes ◽  
Beverage Industry ◽  
The World ◽  
Key Factor ◽  
Gross Income

Guala Closures Group is the world leader in the production of aluminum closures for the beverage industry, with interests in the spirits, wine, water, oil, vinegar and pharma market. The company holds 70+ active patents worldwide and the annual gross income is approx. 500M €. Guala Closures Group has been a proven industrial leader in its sector that not only is now the largest manufacturer of caps and closures worldwide with a production capacity of 14+ billion closures per year, but has many times lead the venture for innovation in the industry. The goal of this paper is to expose the production processes that stand behind Guala Closures Group, its products, the technological innovation and its success.The paper will begin with a thorough analysis of the current state of the art for the production process of aluminum closures. Secondly, the analysis will shift onto the key factor to success in the manufacturing world of aluminum closures: Drive for Innovation.

scholarly journals Perspectives on the future of multi-dimensional platforms

2019 ◽  
Vol 218 ◽  
pp. 72-100 ◽  
Author(s):  
Gino Groeneveld ◽  
Bob W. J. Pirok ◽  
Peter J. Schoenmakers
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
High Resolution ◽  
High Resolution Mass Spectrometry ◽  
State Of The Art ◽  
Two Dimensional ◽  
Current State ◽  
Recent Developments ◽  
Resolution Mass

A practical example, the characterization of polysorbates by high-resolution comprehensive two-dimensional liquid chromatography in combination with high-resolution mass spectrometry, is described as a culmination of recent developments in 2D-LC and as an illustration of the current state of the art.

scholarly journals Magnetic resonance neurography of the head and neck: state of the art, anatomy, pathology and future perspectives

2021 ◽  
Vol 94 (1119) ◽  
pp. 20200798
Author(s):  
Fréderic Van der Cruyssen ◽  
Tomas-Marijn Croonenborghs ◽  
Tara Renton ◽  
Robert Hermans ◽  
Constantinus Politis ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Peripheral Nerves ◽  
State Of The Art ◽  
Three Dimensional ◽  
Anatomical Landmarks ◽  
Future Perspectives ◽  
Magnetic Resonance Neurography ◽  
The Past ◽  
Current State ◽  
Nerve Imaging

Magnetic resonance neurography allows for the selective visualization of peripheral nerves and is increasingly being investigated. Whereas in the past, the imaging of the extracranial cranial and occipital nerve branches was inadequate, more and more techniques are now available that do allow nerve imaging. This basic review provides an overview of the literature with current state of the art, anatomical landmarks and future perspectives. Furthermore, we illustrate the possibilities of the three-dimensional CRAnial Nerve Imaging (3D CRANI) MR-sequence by means of a few case studies.

scholarly journals Effectiveness of Haptic Sensation for the Evaluation of Virtual Prototypes

2001 ◽  
Author(s):  
Sergei A. Volkov ◽  
Judy M. Vance
Keyword(s):  
Virtual Reality ◽  
Force Feedback ◽  
State Of The Art ◽  
Virtual Prototyping ◽  
Three Dimensional ◽  
Design Decisions ◽  
Current State ◽  
Digital Objects ◽  
Virtual Prototypes ◽  
Haptic Sensation

Abstract Virtual Reality techniques provide a unique new way to interact with three-dimensional digital objects. Virtual prototyping refers to the use of virtual reality to obtain evaluations of designs while they are still in digital form before physical prototypes are built. While the current state-of-the-art in virtual reality relies mainly on the use of stereo viewing and auditory feedback, commercial haptic devices have recently become available that can be integrated into the virtual environment to provide force feedback to the user. This paper outlines a study that was performed to determine whether the addition of force feedback to the virtual prototyping task improved the ability of the participants to make design decisions. The specific task involved comparing the location and movement of two virtual parking brakes located in the virtual cockpit of an automobile. The paper describes the purpose, methods and results of the study.

scholarly journals From Auto-encoders to Capsule Networks: A Survey

2021 ◽  
Vol 229 ◽  
pp. 01048
Author(s):  
Omaima El Alaoui-Elfels ◽  
Taoufiq Gadi
Keyword(s):  
Neural Networks ◽  
Learning Algorithm ◽  
State Of The Art ◽  
Three Dimensional ◽  
Future Research ◽  
Two Dimensional ◽  
One Dimensional ◽  
Deep Learning Algorithm ◽  
New Generation ◽  
Open Issues

Convolutional Neural Networks are a very powerful Deep Learning algorithm used in image processing, object classification and segmentation. They are very robust in extracting features from data and largely used in several domains. Nonetheless, they require a large number of training datasets and relations between features get lost in the Max-pooling step, which can lead to a wrong classification. Capsule Networks (CapsNets) were introduced to overcome these limitations by extracting features and their pose using capsules instead of neurons. This technique shows an impressive performance in one-dimensional, two-dimensional and three-dimensional datasets as well as in sparse datasets. In this paper, we present an initial understanding of CapsNets, their concept, structure and learning algorithm. We introduce the progress made by CapsNets from their introduction in 2011 until 2020. We compare different CapsNets series to demonstrate strengths and challenges. Finally, we quote different implementations of Capsule Networks and show their robustness in a variety of domains. This survey provides the state-of-the-art of Capsule Networks and allows other researchers to get a clear view of this new field. Besides, we discuss the open issues and the promising directions of future research, which may lead to a new generation of CapsNets.

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