Electro-discharge machining of die tool steel for the recommendation of the suitable electrode by response surface methodology
Electrical discharge machining (EDM) is one of the important non-traditional machining processes and it is widely accepted as a standard machining process in the manufacture of forming tools to produce moulds and dies. Since its introduction to manufacturing industry in late 1940s,EDM became a well-known machining method. The method is based on removing material from a work piece by means of a series of repeated electrical discharges, produced by electric pulse generators at short intervals, between an electrode (tool) and a part being machined in dielectric fluid medium. in the present study, the performance parameters of EDM process are to be evaluated to achieve the feasibility in machining of H13 tool steel it has wide application in the Hot punches and dies for blanking, forging, swaging and bending, Nozzles for aluminium, tin and lead die casting, Hot extrusion dies for aluminium, cores ejector pins, inserts, Hot shear blades. here the machining is done by EDM using three different electrode like copper, brass and bronze and investigate which type of electrode give better result for increasing MRR, and decrease SR. The experiments planned, conducted and analyzed using Response surface methodology and it is found that the MRR and SR is mainly influenced by which EDM machining parameter.
Published by: Vijay L Rathod, Parthiv Trivedi, Chetan Patel, Amit Patel
Author: Vijay L Rathod
Paper ID: V4I2-2174
Paper Status: published
Published: April 28, 2018
Control of position and swing angle of overhead crane using different controllers
A crane is a machine equipped with a hoist which is mainly used both to lift and lower materials and move them horizontally to different places. However, the underactuated structure of the crane makes difficult to control. In the practical situations, however, the achievement of both transporting trolley to target position and reducing payload sway is not always easy. The main objective is to evaluate different types of controllers for controlling the trolley position and swing motion by conducting a study on the position and swing angle characteristics of different controllers. The various controllers used for the analysis are conventional PID and PD controller, fuzzy-tuned PID and PD controller, LQR, and LQG. The analysis shows that the LQG controller has the best performance even in the presence of a disturbance.
Published by: Liji Ramesan Santhi, Vishu V
Author: Liji Ramesan Santhi
Paper ID: V4I2-2195
Paper Status: published
Published: April 28, 2018
A literature survey on digitizing the college administration ecosystem by developing single access point android mobile application
In the era of digitalization, we have witnessed a swift change from manual process of keeping and maintaining the records to doing the same using various technologies available, in a very easy and efficient manner, be it in the education or non-education sector. There have been individual systems available to manage and monitor various sub-systems in the academic sector (schools, colleges, universities) but today when we are moving towards creating a one-stop shop application accessible by every stakeholder of the respective system we couldn’t find any such application available; which in turn lead to the evolvement of a non-transparent, less effective and ambiguous academic administration system. Presently, the most common authentication scheme witnessed to confirm the identity of a person and uniquely defining ‘’who the person is?’’ is by using the biometric fingerprint scanning system. With the proposed system the student identity can be uniquely defined and also can be used in various administration processes thereby, enabling the college campus an e-campus with the purpose of making the student interaction with various services in the college, efficient, time-saving and transparent. This study explored the usage and applications of biometric fingerprint scanning system in integrating the services of the college ecosystem, to be availed by all the stakeholders at any point in time with a survey carried out in Delhi/NCR region of India.
Published by: Khushboo Priya, Adhish Chand, S Bharath, Shivani Sharma
Author: Khushboo Priya
Paper ID: V4I2-1889
Paper Status: published
Published: April 27, 2018
Auto switching car door-lock system based on facial recognition using MATLAB
Door-locks and its corresponding technology form an important aspect in today’s technological sphere and are essential in protecting one’s belongings. The objective of this project is to recognize and annotate the human action in an unconstrained environment, where the images contain a huge range of variability for car door lock system. A high-level security mechanism is provided by the consecutive actions such as initially system captures the human face and check whether the human face is detected properly or not. If the face is not detected properly, it warns the user to adjust his/her face properly to access the system. Still, if the face is not detected properly the system will lock the door of the car for security purpose. As soon as the door is locked, the system will automatically generate a password. After the system recognizes the face it sends a signal to the main door-lock unit which response by granting access to the individual by opening the door of the car. This high security is achieved using this car door lock system.
Published by: Arvind Krishnan, Rajett Rajeev Nair, Danithraj N, Jacqulin Veda Jancy. S
Author: Arvind Krishnan
Paper ID: V4I2-2204
Paper Status: published
Published: April 27, 2018
Metal, fire and light detection robot with advanced wireless Bluetooth control
The concept of our project is to control and monitor trough mobile app using blue-tooth the elements like based on sensing elements fire, metal through the code embedded in the microcontroller. The code is written in general purpose microcontroller for the purpose of affordability and availability of microcontrollers like MCS-51 series, pic-series, Motorola etc. Here we have taken inputs from three sensors named as the metal detector for metal sensing, LDR for fire and a combination of LDR and LED. All the above three convert analog parameters into the voltage by keeping them on potential divider networks. After calibration with potential divider network, the output voltage is fed to 8-bit, 8-channel ADC. The ADC converts analog parameters into 8-bit digital code. The microcontroller gets data from ADC and analyses with predefined values and takes necessary control action based on the predefined values. It has got two modes - Manual Mode and Automatic Mode. In the manual mode, it gives an alarm for all the parameters, but control action will not be taken. In the automatic mode, the program in the microcontroller controls all the three parameters.
Published by: Akhil Baddi, U Nagamallesh, Prashanth G Raju, Niloy Ch
Author: Akhil Baddi
Paper ID: V4I2-1587
Paper Status: published
Published: April 27, 2018
Comparative analysis of clustering algorithms in wireless sensor networks
In recent years, Wireless Sensor Networks (WSN) gained popularity in sensing information from an interesting area. Day by day new technologies are emerging with innovative features, which make this field active for development and research oriented work. Since the available energy of sensor nodes are limited and hard to renew, energy supervision is critical for nodes and network lifetime in wireless sensor networks. In this paper, clustering algorithms like LEACH, K-means, Fuzzy c means are applied in WSN scenario for sensing applications to reduce energy consumption. We propose modifications on the above-mentioned algorithms by selecting cluster heads (CH) based on the residual energy of the sensor nodes. Simulation results show that the proposed approach produces better cluster head energy efficiency.
Published by: R. Janani, B. Jayaranjani
Author: R. Janani
Paper ID: V4I2-2175
Paper Status: published
Published: April 27, 2018
