KCG College of Technology

About: KCG College of Technology is a based out in . It is known for research contribution in the topics: Computer science & The Internet. The organization has 427 authors who have published 381 publications receiving 2193 citations.

Experimental investigation and multiresponse genetic optimization of drilling parameters for self-healing GFRP

Abstract: Self-healing materials heal partially or completely when damage occurs to restore the functionality of the material. Self-healing technology has found its applications in sensors, supercapacitors, solar cells, fabrics etc. Self-healing GFRP specimens were fabricated by embedding microcapsules filled with dicyclopentadiene monomer in glass fiber reinforced epoxy resin. Drilling experiments were conducted on self-healing GFRP panels comprised of varied quantities and sizes of microcapsules under different drilling conditions to find the effect of adding microcapsules in the material on the drilling characteristics. Thrust force and temperature variations during drilling were studied, and it was found that that the microcapsule concentration in the composite had marked effect on both the measured outputs. Genetic multiobjective optimization was employed to obtain the optimum pareto values to determine the optimum thrust and temperature.

BhrtyArtana (A pipe cleaning and inspection robot)

Abstract: Manual scavenging was ruled illegal in 2013, but private contractors hired by the municipal government continue to employ manua scavengers. Hundreds reportedly die from the work each year. To provide a complete solution to this deplorable situation, artificia intelligence is used as a replacement to manpower. The sewage inspection and cleaning is done by a mechanical device driven b; electronic automation. BhrtyArtana (where ‘Bhrtya’ means robot and ‘Artana’ means waste) is an automated sewer robot that cai conduct an inspection of the sewage pipeline and clear any blockage within it. The robot first inspects sewer lines for cracks, corrosion obstacles, etc. A camera installed atop the robot carries out live streaming of the interior of the pipeline. These visuals are viewed b the operator in software to be recorded for future reference. Furthermore, the robot is equipped with a proximity sensor at the front o its body to detect the presence of an obstacle in front of it. As the robot nears the obstacle, the turbine starts cutting through th obstacle, thus, clearing the obstacle. Thus, this device effectively decreases all the predicaments associated with sewage cleaning an inspection.

Design of Synthetic Optimizing Neuro Fuzzy Temperature Controller for Twin Screw Profile Plastic Extruder Using Labview

Abstract: Controlling the temperature of the twin screw extruder is non linear and suffers from problems related to undesirable overshoot, longer settling time, coupling effects and disturbances. The system is designed with four different control techniques to control temperature at different set point changes and as well as to control sudden input disturbances. The technique involved is conventional PID controller, neural controller, mamdani type fuzzy Logic Controller and the proposed method is neuro fuzzy controller. The proposed method is smoothing of undesired control signal and maintains the temperature exactly at its set points. The software incorporates LabVIEW graphical programming for twin screw plastic extruder toolbox.