http://172.22.28.37:8080/xmlui/handle/1/342 2026-03-23T09:14:29Z 2026-03-23T09:14:29Z Dakave, Urmila http://172.22.28.37:8080/xmlui/handle/123456789/1395 2023-10-20T11:43:57Z 2020-01-01T00:00:00Z

Title: Experimental comparison of Friction Stir Welding and Tungsten Inert Gas welding process for dissimilar Aluminium alloy joint Authors: Dakave, Urmila Abstract: Experimental comparison of Friction Stir Welding and Tungsten Inert Gas welding process for dissimilar Aluminium alloy joint Description: Experimental comparison of Friction Stir Welding and Tungsten Inert Gas welding process for dissimilar Aluminium alloy joint

2020-01-01T00:00:00Z Ghorapade, Vinayak Umesh http://172.22.28.37:8080/xmlui/handle/1/454 2018-11-01T09:10:08Z 2017-01-01T00:00:00Z

Title: Multi Objective Optimazation of Process Parameters For CNC Turning of DMR 292 Using Soft Computing Authors: Ghorapade, Vinayak Umesh Abstract: The performance prediction of the surface finish, cylindricity and dimensional deviation is essential to ensure the quality of a machined work piece. The objective of the current study is to evaluate the functional relationship for the input parameters and the responses, develop the prediction models for the responses and the optimization of the output responses for CNC turning of DMR 292 steel. The current work is carried out at Defence Mettalurgical Research Laboratory, Hyderabad. In this current work, the neural network has been used for prediction of an output with a good accuracy. The study includes a central composite face-centered design methodology to design the test, and variance analysis is applied to check the fitting degree of the prediction model. The Neural-network-based methodology and the Response Surface Methodology are proposed for predicting the surface roughness, dimensional deviation and cylindricity in a CNC turning process. RSM prediction model defines the functional relationship which gives the various outputs for any inputs within the constraint. Thus GA solver gives the global optimized value in given search space. Description: Under the Supervision of Dr. Sachin K. Patil (Associate Professor, Department of Mechanical Engineering, R.I.T., Rajaramnagar) & Mr. Umashankar Gupta (Scientist D,Defence Metallurgical Research Laboratory, Hyderabad)

2017-01-01T00:00:00Z Ghorapade, Vinayak Umesh http://172.22.28.37:8080/xmlui/handle/1/453 2018-11-01T09:07:23Z 2017-01-01T00:00:00Z

Title: Optimization of Machining Parameters for Cylindricity in CNC Turning of HSLA Steel using Response Surface Methodology and Genetic Algorithm Authors: Ghorapade, Vinayak Umesh Abstract: The performance prediction of the surface finish, cylindricity and dimensional deviation is essential to ensure the quality of a machined work piece. The objective of the current study is to evaluate the functional relationship for the input parameters and the responses, develop the prediction models for the responses and the optimization of the output responses for CNC turning of DMR 292 steel. The current work is carried out at Defence Mettalurgical Research Laboratory, Hyderabad. In this current work, the neural network has been used for prediction of an output with a good accuracy. The study includes a central composite face-centered design methodology to design the test, and variance analysis is applied to check the fitting degree of the prediction model. The Neural-network-based methodology and the Response Surface Methodology are proposed for predicting the surface roughness, dimensional deviation and cylindricity in a CNC turning process. RSM prediction model defines the functional relationship which gives the various outputs for any inputs within the constraint. Thus GA solver gives the global optimized value in given search space. Description: Under the Supervision of Dr. Sachin K. Patil (Associate Professor, Department of Mechanical Engineering, R.I.T., Rajaramnagar) & Mr. Umashankar Gupta (Scientist D,Defence Metallurgical Research Laboratory, Hyderabad)

2017-01-01T00:00:00Z Patil, Mamtadevi Namdeo http://172.22.28.37:8080/xmlui/handle/1/452 2018-11-01T07:55:22Z 2017-01-01T00:00:00Z

Title: Standardization and simulation of Thyrolux welding machine assembly line Authors: Patil, Mamtadevi Namdeo Description: Under the Supervision of Dr. Sachin K. Patil (Associate Professor, Department of Mechanical Engineering, R.I.T., Rajaramnagar) & Mr. Waykole M.N. (Production Manager, Ador Welding Ltd., Pune)

2017-01-01T00:00:00Z