His primary areas of study are Welding, Metallurgy, Composite material, Artificial neural network and Engineering drawing. When carried out as part of a general Welding research project, his work on Friction stir welding is frequently linked to work in Quality, therefore connecting diverse disciplines of study. His research investigates the connection with Friction stir welding and areas like Torque which intersect with concerns in Butt welding, Rotational speed, Finite element method and Conical surface.
His Composite material research is multidisciplinary, relying on both Force analysis and Pulmonary surfactant. His biological study deals with issues like Drill, which deal with fields such as Drilling, Structural engineering, Thrust and Work. His studies deal with areas such as Tool wear and Machining as well as Engineering drawing.
His main research concerns Welding, Composite material, Friction stir welding, Metallurgy and Mechanical engineering. His work deals with themes such as Ultimate tensile strength and Inert gas, which intersect with Welding. His work in Composite material tackles topics such as Heat transfer which are related to areas like Coolant and Thermal conductivity.
His study in Friction stir welding is interdisciplinary in nature, drawing from both Joint, Finite element method and Rotational speed. The study incorporates disciplines such as Boiling and Current in addition to Metallurgy. His Mechanical engineering research includes elements of Artificial neural network, Genetic algorithm and Torque.
His primary scientific interests are in Friction stir welding, Welding, Composite material, Microstructure and Metallurgy. His Friction stir welding study combines topics in areas such as Manufacturing process, Fusion welding and Automotive industry. His studies deal with areas such as Porosity, Rotational speed, Alloy, Signal processing and Joint as well as Welding.
His study looks at the relationship between Composite material and fields such as Copper, as well as how they intersect with chemical problems. The various areas that he examines in his Metallurgy study include Work, Texture and Current. As part of one scientific family, Surjya K. Pal deals mainly with the area of Thermal conductivity, narrowing it down to issues related to the Coolant, and often Heat transfer.
Surjya K. Pal spends much of his time researching Friction stir welding, Welding, Composite material, Microstructure and Aluminium. His study deals with a combination of Friction stir welding and Material flow. His Welding study introduces a deeper knowledge of Metallurgy.
His Metallurgy research includes elements of Thermoplastic, Thermoplastic materials and Polymer. His Microstructure research incorporates elements of Ultimate tensile strength, Residual stress, Nanocomposite and Grain size. His Rotational speed study incorporates themes from Discrete wavelet transform, Continuous wavelet transform, Structural engineering and Feature.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Modeling of electrical discharge machining process using back propagation neural network and multi-objective optimization using non-dominating sorting genetic algorithm-II
Debabrata Mandal;Surjya K. Pal;Partha Saha.
Journal of Materials Processing Technology (2007)
Application of digital image processing in tool condition monitoring: A review
S. Dutta;S.K. Pal;S. Mukhopadhyay;R. Sen.
Cirp Journal of Manufacturing Science and Technology (2013)
Artificial neural network modeling of weld joint strength prediction of a pulsed metal inert gas welding process using arc signals
Sukhomay Pal;Surjya K. Pal;Arun K. Samantaray.
Journal of Materials Processing Technology (2008)
Flank wear prediction in drilling using back propagation neural network and radial basis function network
S. S. Panda;D. Chakraborty;S. K. Pal.
soft computing (2008)
Soft computing models based prediction of cutting speed and surface roughness in wire electro-discharge machining of tungsten carbide cobalt composite
Probir Saha;Abhijit Singha;Surjya K. Pal;Partha Saha.
The International Journal of Advanced Manufacturing Technology (2008)
Effect of Pulse Parameters on Weld Quality in Pulsed Gas Metal Arc Welding: A Review
Kamal Pal;Surjya K. Pal.
Journal of Materials Engineering and Performance (2011)
Detection of tool condition from the turned surface images using an accurate grey level co-occurrence technique
S. Dutta;A. Datta;N. Das Chakladar;S.K. Pal.
Precision Engineering-journal of The International Societies for Precision Engineering and Nanotechnology (2012)
Drill wear monitoring using back propagation neural network
S.S. Panda;A.K. Singh;D. Chakraborty;S.K. Pal.
Journal of Materials Processing Technology (2006)
Silicon—a new substrate for GaN growth
S. Pal;C. Jacob.
Bulletin of Materials Science (2004)
Predicting drill wear using an artificial neural network
A.K. Singh;S.S. Panda;D. Chakraborty;S.K. Pal.
The International Journal of Advanced Manufacturing Technology (2006)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: