IIT Hyderabad Course On Artificial Neural Networks Modeling For Processing Of Metals And Materials; Apply Now! (Last Date: 8th June 2022)
Overview:
Applicants are invited to the course on Artificial Neural Networks Modeling For Processing Of Metals And Materials offered by IIT Hyderabad.
Course Contents:
- Introduction to Artificial Neural Networks (ANN)
- Learning in neural networks, implementation procedure, prediction and comparison with actual results, and extraction of knowledge from the database.
- Modeling of the effect of alloy composition on the β- transus temperature in titanium alloys.
- Hot deformation behavior of Ti-6Al-4V alpha-beta alloy with different microstructure.
- Modeling composition-heat treatment-mechanical properties relationship in medium carbon steels.
- Estimation of compositional dependence of Martensite start temperature in steels
- Machinability analysis of Inconel superalloys during electro-discharge machining by artificial neural networks models
- Prediction of the relationships between electrospinning process parameters and nanofiber diameter
- Modeling physical and mechanical properties of metal matrix composites
- Expected future of Artificial Neural Networks, resources available for modeling, and open data sources.
Who Can Attend:
- Students (at all levels: BTech /MSc/ MTech/ Ph.D.), researchers
- Faculty members from academic institutions
- Industry personnel and personnel from R&D laboratories, from chemistry, physics, chemical, materials science, metallurgical engineering, mechanical, civil engineering, and computer science.
Fees:
- Students: Rs. 1000
- Faculty members : Rs. 5000 + 18% GST (Rs. 900)
- Scientists/ Researchers from Govt. R&D/ Public Sector Industry: Rs. 5000 + 18% GST (Rs. 900)
- For all others Rs. 10000 + 18% GST (Rs. 1800)