Journal(s)
Deep learning assisted insights on porosity evolution of WAAM aluminium alloys,
By Aditi Babu, Hemachandra M, Ashish K Agrawal, Rakesh C Shrawankar, Shivraman Thapliyal,
Sage,
Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering,
vol.0,
pp.09544089261428355,
2026
Tailoring microstructure and performance of thick-walled SS316L through overlap control in wire arc directed energy deposition,
By Ramesh Mamedipaka, Amit Kumar Yadav, Sunil Sinhmar, Halid Can Yıldırım, Shivraman Thapliyal,
Elsevier,
Materials Characterization,
vol.0,
pp.115899,
2026
A Machine Learning-Based Model for Multiple Material Density Prediction Developed by Powder Bed Fusion Additive Manufacturing,
By Sanaka Banerjee, Shivraman Thapliyal, M Agilan, S Dineshraj, Govind Bajargan, Steaphen Sigatapu,
Springer,
Journal of Materials Engineering and Performance,
vol.34,
pp.8768-8772,
2025
Investigating the performance of aluminium-steel bimetallic structure fabricated through Wire and Arc Additive Manufacturing with interlayer approach,
By Guttikonda Manohar, Adepu Kumar, Shivraman Thapliyal, Ramesh Mamedipaka,
Elsevier,
Structures,
vol.72,
pp.108304,
2025
Investigating the performance of aluminium-steel bimetallic structure fabricated through wire and arc additive manufacturing with interlayer approach,
By Guttikonda Manohar, Adepu Kumar, Shivraman Thapliyal, Ramesh Mamedipaka,
Elesvier,
Structures,
vol.73,
pp.,
2025
Additive Manufacturing of Bimetallic Structures: Process Challenges, Interfacial Engineering, and Emerging Intelligent Approaches,
By Ramesh Mamedipaka, M Agilan, JP Oliveira, Guttikonda Manohar, Shivraman Thapliyal,
Elsevier,
Materials Today Communications,
vol.0,
pp.114462,
2025
Data-driven model for predicting tensile properties of wire aData-driven model for predicting tensile properties of wire arc additive manufactured 316l steels and its validationrc additive manufactured 316l steels and its validation,
By Ramesh Mamedipaka, Shivraman Thapliyal,
Springer US,
Journal of Materials Engineering and Performance,
vol.33,
pp.1083-1091,
2024
Investigating the microstructure and mechanical behavior of optimized eutectic AlSi alloy developed by direct energy deposition,
By M Hemachandra, Ramesh Mamedipaka, Adepu Kumar, Shivraman Thapliyal,
Elsevier,
Journal of Manufacturing Processes,
vol.110,
pp.398-411,
2024
Influence of Microstructural Characteristics on the Mechanical and Wear Behavior of Wire Arc Additive Manufactured and Cast Eutectic Al-Si Alloy,
By M Hemachandra, Shivraman Thapliyal, Babar Pasha Mahammod, Adepu Kumar,
Springer Netherland,
Silicon,
vol.0,
pp.1-23,
2024
Enhancing microstructural integrity and mechanical performance of thick wire-arc directed energy deposited eutectic aluminum-silicon solid structure through continuous multi-pass friction stir processing,
By Hemachandra, M., Shivraman Thapliyal, Adepu Kumar, J. P. Oliveira, and Ashish K. Agrawal.,
Elsevier,
Materials Science and Engineering: A ,
vol.914,
pp.,
2024
"Machine learning-assisted wire arc additive manufacturing and heat input effect on mechanical and corrosion behaviour of 316 L stainless steels,
By Mamedipaka, Ramesh, M. Hemachandra, Akshansh Mishra, Sunil Sinhmar, and Shivraman Thapliya,
Elsevier,
Structures,
vol.68,
pp.,
2024
Process parameters based machine learning model for bead profile prediction in activated TIG Welding using random forest machine learning,
By Abhinav Arun Munghate, Shivraman Thapliyal,
SAGE Publications,
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture,
vol.0,
pp.0,
2023
Process parameter dependent machine learning model for densification prediction of selective laser melted Al-50Si alloy and its validation,
By Kanaka Linga Raju, Shivraman Thapliyal, Steaphen Sigatapu, Anoop Kumar Shukla, Govind Bajargan, Bhanu Pant,
Springer US,
Journal of Materials Engineering and Performance,
vol.31,
pp.8451-8458,
2022
Machine learning classification-based approach for mechanical properties of friction stir welding of copper,
By Shivraman Thapliyal, Akshansh Mishra,
Elsevier,
Manufacturing Letters,
vol.29,
pp.52-55,
2021
Challenges associated with the wire arc additive manufacturing (WAAM) of aluminum alloys,
By Shivraman Thapliyal,
IOP Publishing,
Material Research Express,
vol.6,
pp.112006,
2019
On cavitation erosion behavior of friction stir processed surface of cast nickel aluminium bronze,
By Shivraman Thapliyal, Dheerendra Kumar Dwivedi,
Elsevier,
Wear,
vol.376,
pp.1030-1042,
2017
Study of the effect of friction stir processing of the sliding wear behavior of cast NiAl bronze: A statistical analysis,
By Shivraman Thapliyal, Dheerendra Kumar Dwivedi,
Elsevier,
Tribology International,
vol.97,
pp.124-135,
2016
Microstructure evolution and tribological behavior of the solid lubricant based surface composite of cast nickel aluminum bronze developed by friction stir processing,
By Shivraman Thapliyal, Dheerendra Kumar Dwivedi,
Elsevier,
Journal of Materials Processing Technology,
vol.238,
pp.30-38,
2016
Conference(s)
Machine Learning in Additive Manufacturing for Component Development
By M Hemachandra, Shivraman Thapliyal,
ASME AM 3D AERO 2023,
2024
Heat Treatment for Property Enhancement of Wire Arc Additive Manufactured Stainless Steel.
By Ramesh Mamedipaka, Shivraman Thapliyal,
International Conference on Welding and Joining ,
2023
Investigating The Structure Property Correlation for Wire Arc Additive Manufactured Nuclear Grade Stainless Steel
By Ramesh Mamedipaka, Shivraman Thapliyal, Vishal Wakle ,
IIM Annual Technical Meeting (ATM) - 2022,
2022
Text Book(s)
Advanced Joining Technologies
By M Manjaiah, Shivraman Thapliyal, Adepu Kumar
(Published by: Taylor & Francis Group),
Book,
2024
Book Chapter(s)
Ultrasonic welding—a modern welding technology for metals and plastics
By Shivraman Thapliyal in
Handbooks in Advanced Manufacturing: Advanced Welding and Deforming,
Elesvier,
Handbook,
2021
Machine Learning for Friction Stir Welding
By Shivraman Thapliyal, Akshansh Mishra in
Advanced Computational Methods in Mechanical and Materials Engineering,
CRC Press,
Book,
2021