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Retrofitting For Gear Lapping On Lathe Machine

Retrofitting is addition of components, features or accessories on older system that did not have when it manufactured. It is used to carry out various operations on same machine. Retrofitting is considerable change in current machine to make it flexible for doing various operations. Here is retrofitting for gear lapping on lathe machine. Its reduces high investment cost to buying separate gear lapping machine. It is economical for all small scale industries and medium scale industries. Gears are key to power transmission in our day to day life. Mechanical power transmissions uses belt, chain and gears for power transmission. This paper includes how to use the gear lapping process & innovative way of gear lapping machine. We can use conventional lathe machine which is present in most of the machine shop. The attachment is designed on simple design and is easy to use. It may include different types of gears. Whichever cutting process is used, tooth surface errors appear, in part because of tooling wear and machine distortion, in part because the gears are heat treated after cutting which releases internal strain and causes tooth flank distortion. Therefore, a finishing operation is necessary. As a result, excellent smoothness and quietness of operation can be obtained

Published by: Amol D. Awaghade, Sagar S. Ghorpade, Swapnil B. Barge, Suraj P. Barge, Sanket S. Gaikwad, Rahul S. Gaikwad, Prof. S. S Bhosale

Author: Amol D. Awaghade

Paper ID: V3I2-1486

Paper Status: published

Published: April 12, 2017

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Parameters Optimization of Laser Beam Machine

“LASER is Light Amplified Stimulated Emission of Radiation.”A Laser is a device that emits light through a process of optical amplification based on stimulated emission of electromagnetic radiation. Research parameters optimization of “LASER BEAM MACHINE “as laser beam machine, cutting speed power, gas pressure, laser power. For output parameters, surface roughness and kerfs taper are studied. The analysis is done by “TAGUCHI METHODOLOGY” In this research work input parameters are taken as Cutting Speed, Gas pressure, laser powers are studied. Simultaneously their optimum set is analyzed by using TAGUCHI METHOD from Minitab software for Surface Roughness and Kerfs taper as output Parameter.

Published by: Tushar V. Jadhav, Shashank S. Babar, Sachin R. Mane, Amrut K. Chavan, Sagar A. Bile, Prof. R. V Salukhe

Author: Tushar V. Jadhav

Paper ID: V3I2-1488

Paper Status: published

Published: April 12, 2017

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Vehicle Number Plate Detection and Recognition

The study of this paper presents a new technique to use automatic number plate detection and recognition. This system plays a significant role throughout this busy world, owing to rise in use of vehicles day-by-day. Some of the applications of this software are automatic toll tax collection, unmanned parking slots, safety and security. The current scenario happening in India is, people break the rules of the toll and move away which can cause many serious issues like accidents. This system uses efficient algorithms to detect the vehicle number from real time images. The system detects the license plate on the vehicle first and then captures the image of it. Vehicle number plate is localized and characters are segmented and further recognized with help of neural network. The system is designed for grey scale images so it detects the number plate regardless of its colour. The resulting vehicle number plate is then compared with the available database of all vehicles which have been already registered by the users so as to come up with information about vehicle type and charge accordingly. The vehicle information such as date, toll amount is stored in the database to maintain the record.

Published by: Rupali Gala, Shrey Doshi, Yash Jain, Vibha Patidar, Swati Nadkarni

Author: Rupali Gala

Paper ID: V3I2-1457

Paper Status: published

Published: April 12, 2017

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Design & Fabrication of Non- Conventional Air Conditioner

Working with AC there is a lot of fuel is burn in a car. These fuels are saved and run the AC another system rather than fuel. Run the AC without fuel using suspension system of the car and exhaust gas of car. Increase the efficiency of the car.

Published by: Gore Sunil Laxman, Amol J. Zore, Rohit S. Patil, Dhanashri V. Bhosale, Bhagyashri U. Phadatare, Prof. S. M. Huddedar, V. B. Dixit

Author: Gore Sunil Laxman

Paper ID: V3I2-1482

Paper Status: published

Published: April 12, 2017

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The Energy Efficient Techniques of Wireless Sensor Networks

The wireless sensor networks is the type of sensor networks which is used to sense the environmental conditions like temperature, pressure etc. The energy consumption is the major issue of the wireless sensor networks which is raised due to far deployment and small size of the sensor nodes. The clustering is the technique which reduces energy consumption of the wireless sensor networks. In this paper, various techniques which are proposed for the energy consumption reduction is reviewed and discussed in terms of various parameters.

Published by: Er. Pallavi Mittal, Er. Rajnish Kansal

Author: Er. Pallavi Mittal

Paper ID: V3I2-1467

Paper Status: published

Published: April 12, 2017

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Lung Lesion Extraction Using Improved Toboggan Based Algorithm

The segmentation of lung lesions with an acceptable accuracy from computed tomography (CT) scans is more valuable for lung cancer research and can offer important information for clinical diagnosis and treatment by the doctors. It is a challengeable process to achieve a fully automatic lesion detection and segmentation with acceptable accuracy due to the various characteristics of lung lesions. Here, we propose an improved toboggan based growing automatic segmentation approach (ITBGA) .which are automatic initial seed point selection, The new approach does not require any human interaction or training dataset for lesion detection, yet it can provide a high lesion detection sensitivity (98.35%) .The results show a significant improvement of segmentation accuracy. The average time consumption for one lesion segmentation was under 9 seconds using proposed method. The improved toboggan based algorithm can achieve robust, efficient and accurate lung lesion segmentation in CT images automatically.

Published by: Vigneshwar .R, Karthick .A, Karthick .K, SenthamizhSelvi .R

Author: Vigneshwar .R

Paper ID: V3I2-1480

Paper Status: published

Published: April 12, 2017

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