Call For Paper |January 2016 | IJSRD

Call For Paper

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Publication charges : 750 INR

Submission Last Date : 25-Jan-2016

Publication Last Date : 1-Feb-2016

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Design and Linear Static Analysis of Transport Aircraft Vertical Tail for Different Rudder Deflection (Rotation)

IJSRD – International Journal for Scientific Research & Development| Vol. 3, Issue 10, 2015 | ISSN (online): 2321-0613


 

Design and Linear Static Analysis of Transport Aircraft Vertical Tail for Different Rudder Deflection (Rotation)

Author(s): Vinayaka V , AMC Engineering College; Santosh Kumar, AMC Engineering College; Byra Reddy, AMC Engineering College

Keywords: Static stress analysis, vertical tail, fatigue, AL 7075 T6, CATIA V5 R19, MSC PATRAN and MSC NASTRAN, CFD

Abstract: The design of vertical tail structure varies according to nature of aircraft and its function. The experimental test of vertical tail structure is difficult and more expensive process. In this present work detailed design of transport aircraft vertical tail with rudder structure modelling done by using CATIA V5 R19 software. The static stress analysis is carried out to find the stresses at of the vertical tail with rudder structure for different deflection of rudder. The stresses are estimated to find the safety factor of the structure using finite element approach with the help of MSC/PATRAN and MSC/NASTRAN software. The material used in the vertical tail structure is aluminium 7075-T6, which has high fatigue strength. From the analysis it is found that maximum principal stress of vertical tail structure is less than yield strength of aluminium 7075-T6 alloy. The maximum principal stress value form analysis is used to find fatigue damage calculations for vertical tail structure. The obtained analytical result shows that safe no of fatigue life hours of vertical tail structure. The result is verified with reserve factor approach.


I. INTRODUCTION

Aircraft is a transportation vehicle which is designed to move people and cargo from one place to another. The shape and size of the aircraft depends on its task. The assembly of horizontal stabilizer and vertical stabilizer is known as empennage. Whose function is maintaining stability and control. In conventional tail configuration the vertical tail placed on top of the fuselage. The trailing end of vertical stabilizer consisting movable rudder, that allows pilot control yaw. The rudder is attached to vertical tail by hinges. When rudder deflects it vary amount of force generated by tail surface and that force is used to generate and control yawing motion of aircraft. The vertical tail contains spars and ribs as inner components,

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Conference On Mechanical Engineering & Technology #COMET 2016

IIT(BHU), Varanasi
Mechanical Engineering Society
presents

COMET 2016

(Conference On Mechanical Engineering & Technology)

in association with

IJSRD – International Journal for Scientific Research & Development

Click here to download Event Brochure

Conference On Mechanical Engineering and Technology (COMET) was commenced with the aim of promoting excellence in the field of mechanical engineering and to provide a platform for bringing out the best among the department’s students. What started as a simple initiative soon spiralled into a conclave. Needless to say it has experienced exponential growth in the sheer number of participants, both internal and external alike, augmented by the quality alongside. The events in its fold have enthused engineers from colleges nationwide thus increasing its domain of influence over the years. Attracting almost 1000 odd external participants in its previous edition, we are confident that these will be more than double positively for the upcoming edition.

COLLOQUIUM

Colloquium,the paper presentation contest, offers a platform to the participants to present & exchange their ideas, innovations and solutions to engineering problems in front of a very scholarly audience. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. COLLOQUIUM is the premier forum for the presentation of new advances and research results in the fields of theoretical and experimental mechanical engineering. Students (B.E/B.Tech./M.Tech./Ph.D.), researchers and qualified personnel interested in the field of mechanical engineering are invited to present papers.
We hope that conference results will lead to significant contributions to the knowledge in these up-to-date engineering and scientific fields.

Topics of interest for submission include, but are not limited to:

  • Advanced Manufacturing System.
  • Applications of Aerospace Technology.
  • Automation and Robotics.
  • Automobile engineering.
  • Biomechanics and Bioinstrumentation.
  • Concurrent Design of Vibration System.
  • Fluid Mechanics.
  • Human Values and Professional ethics.
  • Industrial Management.
  • Material Science.
  • Nanotechnology.
  • Non-Conventional Sources of Energy.
  • Thermal Engineering

Organized by :

Mechanical Engineering Society,
Mechanical Engineering Department,
IIT(BHU)-Varanasi
Website : http://mesiitbhu.in/comet.html

Publication Partner

International Journal for Scientific Research & Development
Website : www.ijsrd.com

Using RFIDs for Effective Disassembling and Reassembling

International Journal For Scientific Research & Development :: IJSRD



Author(s):
Paurush Dube , DIT University Dehradun; Mr. Vinay Kumar, DIT University Dehradun; Dr. Sandeep Sharma, DIT University, Dehradun


Keywords:
RFID, UHF Tags, RSSI


Abstract:
Almost in every industry there often arises a need to disassemble some machinery or some structure and then to reassemble it at some other place. This is done because transporting the whole structure as a whole is uneconomical and may also cause damage to the structure. Reassembling a structure which is complex in design is an arduous and time consuming task and may also cause the system to malfunction in case the reassembling hasn’t been done correctly. Here we present a methodology not only to facilitate the reassembling procedure but also to verify whether the structure has been correctly reassembled or not. To do this we employ RFID tags which have been affixed to each component of the structure and a Reader equipped with RSSI to determine the relative positions of the tags. The information hence obtained is stored in database and is later used to place the components in the correct order as well as at the correct position at the time of reassembling.



  1. INTRODUCTION:

It often becomes important to determine the relative positions of the various components of a structure or machinery. Conventional means for doing so include Ultra Wide Band (UWB) technology and Ultrasound systems such as Active Bat.
There are two basic problems associated with these technologies:-

  • Larger size of tag
  • High cost of installation [1]

RFIDs offer not just an effective but also an inexpensive solution to both of these problems. With advancements in technology the size and price of RFID tags is constantly decreasing while their accuracy and range are constantly increasing.
A typical passive UHF RFID tag can be read from as far as 12m and a few tags are as small as a grain of rice. Also the cost of tags and equipment is decreasing by the day.

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Emergent Artificial Intelligence

EAI-icon1-300x300

What happens when a computer can learn on the job?

Artificial intelligence (AI) is, in simple terms, the science of doing by computer the things that people can do. Over recent years, AI has advanced significantly: most of us now use smartphones that can recognize human speech, or have travelled through an airport immigration queue using image-recognition technology. Self-driving cars and automated flying drones are now in the testing stage before anticipated widespread use, while for certain learning and memory tasks, machines now outperform humans. Watson, an artificially intelligent computer system, beat the best human candidates at the quiz game Jeopardy.

Artificial intelligence, in contrast to normal hardware and software, enables a machine to perceive and respond to its changing environment. Emergent AI takes this a step further, with progress arising from machines that learn automatically by assimilating large volumes of information. An example is NELL, the Never-Ending Language Learning project from Carnegie Mellon University, a computer system that not only reads facts by crawling through hundreds of millions of web pages, but attempts to improve its reading and understanding competence in the process in order to perform better in the future.

Like next-generation robotics, improved AI will lead to significant productivity advances as machines take over – and even perform better – at certain tasks than humans. There is substantial evidence that self-driving cars will reduce collisions, and resulting deaths and injuries, from road transport, as machines avoid human errors, lapses in concentration and defects in sight, among other problems. Intelligent machines, having faster access to a much larger store of information, and able to respond without human emotional biases, might also perform better than medical professionals in diagnosing diseases. The Watson system is now being deployed in oncology to assist in diagnosis and personalized, evidence-based treatment options for cancer patients.

Long the stuff of dystopian sci-fi nightmares, AI clearly comes with risks – the most obvious being that super-intelligent machines might one day overcome and enslave humans. This risk, while still decades away, is taken increasingly seriously by experts, many of whom signed an open letter coordinated by the Future of Life Institute in January 2015 to direct the future of AI away from potential pitfalls. More prosaically, economic changes prompted by intelligent computers replacing human workers may exacerbate social inequalities and threaten existing jobs. For example, automated drones may replace most human delivery drivers, and self-driven short-hire vehicles could make taxis increasingly redundant.

On the other hand, emergent AI may make attributes that are still exclusively human – creativity, emotions, interpersonal relationships – more clearly valued. As machines grow in human intelligence, this technology will increasingly challenge our view of what it means to be human, as well as the risks and benefits posed by the rapidly closing gap between man and machine.

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Special Issue For Image Processing

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Best 25 papers will be published online. Participate in this special issue and get a chance to win the Best Paper Award for Image Processing. Also other authors will have special prizes to be won.

http://ijsrd.com/Sp_SubmitManuscript

Last Date For Paper Submission of Special Issue : 25th August 2015

What is Image Processing?

Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image. Usually Image Processing system includes treating images as two dimensional signals while applying already set signal processing methods to them.
It is among rapidly growing technologies today, with its applications in various aspects of a business. Image Processing forms core research area within engineering and computer science disciplines too.Image processing usually refers to digital image processing, but optical and analog image processing also are possible.
Analog or visual techniques of image processing can be used for the hard copies like printouts and photographs. Image analysts use various fundamentals of interpretation while using these visual techniques. The image processing is not just confined to area that has to be studied but on knowledge of analyst. Association is another important tool in image processing through visual techniques. So analysts apply a combination of personal knowledge and collateral data to image processing.
Digital Processing techniques help in manipulation of the digital images by using computers. As raw data from imaging sensors from satellite platform contains deficiencies. To get over such flaws and to get originality of information, it has to undergo various phases of processing. The three general phases that all types of data have to undergo while using digital technique are Pre- processing, enhancement and display, information extraction.
If you have worked on any part of image processing prepare a research paper and submit to us

Image processing basically includes the following three steps.

  • Importing the image with optical scanner or by digital photography.The acquisition of images (producing the input image in the first place) is referred to as imaging.
  • Analyzing and manipulating the image which includes data compression and image enhancement and spotting patterns that are not to human eyes like satellite photographs.
  • Output is the last stage in which result can be altered image or report that is based on image analysis.

Purpose of Image processing

The purpose of image processing is divided into various groups. They are:

  • Visualization – Observe the objects that are not visible.
  • Image sharpening and restoration – To create a better image.
  • Image retrieval – Seek for the image of interest.
  • Measurement of pattern – Measures various objects in an image.
  • Image Recognition – Distinguish the objects in an image.

Applications of Image processing

Image processing has been an important stream of Research for various fields. Some of the application areas of Image processing are….

Intelligent Transportation Systems – E.g. Automatic Number Plate Recognition, Traffic Sign Recognition

Remote Sensing –E.g.Imaging of earth surfaces using multi Spectral Scanners/Cameras, Techniques to interpret captured images etc.

Object Tracking – E.g. Automated Guided Vehicles, Motion based Tracking, Object Recognition
Defense surveillance – E.g. Analysis of Spatial Images, Object Distribution Pattern Analysis of Various wings of defense. Earth Imaging using UAV etc.

Biomedical Imaging & Analysis – E.g. Various Imaging using X- ray, Ultrasound, computer aided tomography (CT) etc. Disease Prediction using acquired images, Digital mammograms.etc.

Automatic Visual Inspection System – E.g.Automatic inspection of incandescent lamp filaments, Automatic surface inspection systems,    Faulty component identification etc.

And many other applications…..

To contribute your research work in Image processing please prepare an article on it and submit to us.

http://ijsrd.com/Sp_SubmitManuscript

goodresearchjournal.blogspot.in

http://goo.gl/fPkP9I

Special Issue For Image Processing ijsrd

11231084_455922597904179_1264841240820035053_n

SpecialIssue_clip_image001

Best 25 papers will be published online.Participate in this special issue and get a chance to win the Best Paper Award for Image Processing. Also other authors will have special prizes to be won.

http://www.ijsrd.com/Sp_SubmitManuscript

Last Date For Paper Submission of Special Issue : 25th August 2015

What is Image Processing?

Image processing is a method to convert an image into digital form and perform some operations on it, in order to get an enhanced image or to extract some useful information from it. It is a type of signal dispensation in which input is image, like video frame or photograph and output may be image or characteristics associated with that image. Usually Image Processing system includes treating images as two dimensional signals while applying already set signal processing methods to them.
It is among rapidly growing technologies today, with its applications in various aspects of a business. Image Processing forms core research area within engineering and computer science disciplines too.Image processing usually refers to digital image processing, but optical and analog image processing also are possible.
Analog or visual techniques of image processing can be used for the hard copies like printouts and photographs. Image analysts use various fundamentals of interpretation while using these visual techniques. The image processing is not just confined to area that has to be studied but on knowledge of analyst. Association is another important tool in image processing through visual techniques. So analysts apply a combination of personal knowledge and collateral data to image processing.
Digital Processing techniques help in manipulation of the digital images by using computers. As raw data from imaging sensors from satellite platform contains deficiencies. To get over such flaws and to get originality of information, it has to undergo various phases of processing. The three general phases that all types of data have to undergo while using digital technique are Pre- processing, enhancement and display, information extraction.
If you have worked on any part of image processing prepare a research paper and submit to us

Image processing basically includes the following three steps.

  • Importing the image with optical scanner or by digital photography.The acquisition of images (producing the input image in the first place) is referred to as imaging.
  • Analyzing and manipulating the image which includes data compression and image enhancement and spotting patterns that are not to human eyes like satellite photographs.
  • Output is the last stage in which result can be altered image or report that is based on image analysis.

Purpose of Image processing

The purpose of image processing is divided into various groups. They are:

  • Visualization – Observe the objects that are not visible.
  • Image sharpening and restoration – To create a better image.
  • Image retrieval – Seek for the image of interest.
  • Measurement of pattern – Measures various objects in an image.
  • Image Recognition – Distinguish the objects in an image.

Applications of Image processing

Image processing has been an important stream of Research for various fields. Some of the application areas of Image processing are….

Intelligent Transportation Systems – E.g. Automatic Number Plate Recognition, Traffic Sign Recognition

Remote Sensing –E.g.Imaging of earth surfaces using multi Spectral Scanners/Cameras, Techniques to interpret captured images etc.

Object Tracking – E.g. Automated Guided Vehicles, Motion based Tracking, Object Recognition
Defense surveillance – E.g. Analysis of Spatial Images, Object Distribution Pattern Analysis of Various wings of defense. Earth Imaging using UAV etc.

Biomedical Imaging & Analysis – E.g. Various Imaging using X- ray, Ultrasound, computer aided tomography (CT) etc. Disease Prediction using acquired images, Digital mammograms.etc.

Automatic Visual Inspection System – E.g.Automatic inspection of incandescent lamp filaments, Automatic surface inspection systems,    Faulty component identification etc.

And many other applications…..

To contribute your research work in Image processing please prepare an article on it and submit to us.

http://www.ijsrd.com/Sp_SubmitManuscript

http://www.ijsrd.com/SubmitManuscript

http://goo.gl/YdOzty

http://goo.gl/XnXLg2

http://goo.gl/daTPqk