Monday, August 13, 2018

Analytical Investigation of Rake Contact and Friction Behaviour in Metal Cutting

The friction due to the contact between the work piece and the tool is one of the key subjects in machining research. It is well known that cutting involves three deformation zones. The primary shear zone, i.e. the shear plane, is responsible for the chip formation whereas in the secondary shear zone on the rake face the work piece and tool are in a complex state of contact. 

The third region, on the other hand is responsible for the ploughing and flank contact. Although there are numerous models proposed involving, analytical, semi¬ analytical, and numerical (mostly FEM) based methods, two important inputs for these models are the material model parameters and the friction coefficient between the tool and the work piece material. 

By considering literature surveys, the friction behavior in metal cutting operations is analyzed using a thermo mechanical cutting process model that represents the contact on the rake face by sticking and sliding regions. The relationship between the sliding and the overall, i.e. apparent, friction coefficients are analyzed quantitatively. The sliding friction coefficient is identified for different work piece"“tool couples using cutting tests. In addition, the effect of the total, sticking and sliding contact lengths on the cutting mechanics is investigated. 

The effects of cutting conditions on the friction coefficients and contact lengths are analyzed. The cutting tool materials are Uncoated Carbide and Coated Carbide tools, and the Work piece material is aluminum which is being machined at cutting speed ranging from 600 mmin to 1200 mmin with a depth of cut 2mm.By considering the experimental results for the analysis of Rake Angle and friction behavior in metal cutting (Turning), the parameters are optimized by using the Taguchi method. For this an appropriate orthogonal array has been selected as per number of factors and their levels to perform minimum experimentations and Minitab software "“ test is performed to check the significance.

By Ms. A. Harika | Mr. K. Viswanath"Analytical Investigation of Rake Contact and Friction Behaviour in Metal Cutting"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd18308.pdf

Direct URL: http://www.ijtsrd.com/engineering/mechanical-engineering/18308/analytical-investigation-of-rake-contact-and-friction-behaviour-in-metal-cutting/ms-a-harika

research papers, paper publication for engineering, conference issue publication

Smart AC Power Management

In our state we are facing tremendous problems in terms of electricity shortage. We are rich as producers but not getting the desired because of miss use of electricity. The solution is only the smart concept which can be achieved using the latest and modern technologies. In this paper I am describing some modern technologies like IOT and Micro controllers and how to use such technologies for AC Power Management.

By Priya Bhagat | Shavet Sharma"Smart AC Power Management"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd18376.pdf

Direct URL: http://www.ijtsrd.com/engineering/electrical-engineering/18376/smart-ac-power-management/priya-bhagat

best journal, manuscript submission, call for paper engineering

SVM Classifiers at it Bests in Brain Tumor Detection using MR Images

This paper presents some case study frameworks to limelight SVM classifiers as most efficient one compared to existing classifiers like Otsu, k-means and fuzzy c-means. In general, Computed Tomography (CT) and Magnetic Resonance Imaging (MR) are more dominant imaging technique for any brain lesions detection like brain tumor, Alzheimer' disease and so on. MR imaging takes a lead technically for imaging medical images due to its possession of large spatial resolution and provides better contrast for the soft tissues like white matter (WM), gray matter (GM) and cerebrospinal fluid (CSF). 

The usual method used for classification of lesions in brain images consists of pre-processing, feature extraction, feature reduction and classification. Early detection of the tumor region without much time lapse in computation can be achieved by using efficient SVM classifier model. 

Brain tumor grade classifications with the assistance of morphologically selected features are extracted and tumor classification is attained using SVM classifier. The assessment of SVM classifications are evaluated through metrics termed as sensitivity, exactness and accuracy of segmentation. These measures are then compared with existing methods to exhibit the SVM classifier as significant classifier model.

By Dr. R Manjunatha Prasad | Roopa B S"SVM Classifiers at it Bests in Brain Tumor Detection using MR Images"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd18372.pdf

Direct URL: http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/18372/svm-classifiers-at-it-bests-in-brain-tumor-detection-using-mr-images/dr-r-manjunatha-prasad

manuscript publication, submit paper online, indexed journal

Saturday, August 11, 2018

Load Shedding Management

In our country we are facing tremendous problems because of electricity shortage and the J&K state is on top. We are considered rich in production of electricity but the truth is we are not getting the desired. The solution is implementation of latest and emerging technologies like IOT and Microcontrollers in electrical domain. The paper describes the need of technology for load shedding process.

By Itika Sharma | Shavet Sharma"Load Shedding Management"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd18364.pdf

Direct URL: http://www.ijtsrd.com/engineering/electrical-engineering/18364/load-shedding-management/itika-sharma

high impact factor, ugc approved journals for engineering, special issue publication





Technology in Solar Power Systems

Solar power is one of the main sources of electricity used in our day by day life. Solar based energy resolves the shortage of electricity to great extent and covers most of the consumers belonging to backward category. Govt. of India also launched number of schemes in-collaboration with different banks to make consumers more and more aware regarding Solar Power and offers home based Solar Power Systems. In this paper the focus is on how to implement technologies to make solar power systems more and more efficient.

By Tayir Naqishbandi | Shavet Sharma"Technology in Solar Power Systems"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd18363.pdf

Direct URL: http://www.ijtsrd.com/engineering/electrical-engineering/18363/technology-in-solar-power-systems/tayir-naqishbandi

international peer reviewed journal, paper publication for engineering, conference issue publication

Innovative Technologies for Electrical Domain

Information Technology change the world we live in like connected cars, industries with smart machinery, e-commerce, banking etc. the IOT and Microcontrollers are the most popular technological concepts and have a great importance in Electrical Domain. The paper describes how to deploy latest and emerging technologies in electricity department. The most important advantage is robotic monitoring of power systems like Power Grids, Smart Energy Meters etc. the implementation of GSM technology in electrical department is the most important technical edge.

By Shajarul Adan | Shavet Sharma"Innovative Technologies for Electrical Domain"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018,


Direct URL: http://www.ijtsrd.com/engineering/electrical-engineering/18362/innovative-technologies-for-electrical-domain/shajarul-adan

multidisciplinary journal, submit paper online, indexed journal

Automatic Light Intensity Monitoring using Modern Technology

The electricity is a gift to mankind and needs proper management. As we all know we are very busy, and are unable to find time even to switch the lights wherever not necessary. The street lights will be switched on in the evening before the sun sets and they are switched off the next day morning after there is sufficient light on the roads. The paper focus on the applications of modern technology in energy saving.

By Tsering Lasket | Shavet Sharma "Automatic Light Intensity Monitoring using Modern Technology"

Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-5 , August 2018,

URL: http://www.ijtsrd.com/papers/ijtsrd18361.pdf

Direct URL: http://www.ijtsrd.com/engineering/electrical-engineering/18361/automatic-light-intensity-monitoring-using-modern-technology/tsering-lasket

peer reviewed journals, manuscript submission, call for paper engineering