Faculty Member

Ph.D. Research Students

Buchibabu V
124100012@iitb.ac.in

Makwana P
134106002@iitb.ac.in

Shotri R V
164100005@iitb.ac.in

M Tech Student

RA (M Tech) Students

A set of artificial neural network (ANN) models are developed following Baysian learning approach for the estimation of several key process characteristics as function of welding conditions in friction stir welding (FSW). The training and the testing data to develop the ANN models are generated using a well tested three dimensions numerical heat transfer and visco-plastic material flow model. The focus of the work is to provide a methodology and an openly available tool that can help in successful use of FSW without premature tool failure. This page contains a link to a zipped file that has four directories: (i) final_input_data_files, (ii) final_map_data_files, (iii) final_nn_code_for_upload, (iv) final_tif_map_figures. The directory "input_files" contains the input files that are used to develop the optimized neural nets. The directory "results_map" includes the text files which are generated using the optimized models. These files are used to construct maps of safe working zone for a given combination of welding conditions. The directory "code_manual" has the aritifical neural network source codes and manual. The directory "process_maps" includes several examples of process maps which are constructed using the corresponding optimized models. Please download the files in your local computer first and then try to open them. In the case, you have any difficulty to use or realize any information published in the link mentioned above, contact amit@iitb.ac.in.

Program&Data_Files.zip