Amit Kumar Ball

Employment

• Central Manufacturing Technology Institute
  2020 - Present
• National Institute of Technology Durgapur
  2016 - 2020
• Penn State
• UConn
• Pennsylvania State University

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (19)

• Impact of track length, track shape, and track location on thermal distortion in laser powder bed fusion of IN625: Single laser vs. three lasers
  Journal of Engineering Research 2025 DOI: 10.1016/j.jer.2023.09.026
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• Scalable and transferable graph neural networks for predicting temperature evolution in laser powder bed fusion
  Engineering Applications of Artificial Intelligence 2025 DOI: 10.1016/j.engappai.2025.110898
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• Optimizing island sequencing in laser powder bed fusion using Genetic Algorithms
  Neural Computing and Applications 2024 DOI: 10.1007/s00521-024-10332-w
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• Numerical Investigation of the Thermal Distortion in Multi-Laser Powder Bed Fusion (ML-PBF) Additive Manufacturing of Inconel 625
  Chinese Journal of Mechanical Engineering: Additive Manufacturing Frontiers 2023 DOI: 10.1016/j.cjmeam.2023.100103
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• AI modeling for high-fidelity heat transfer and thermal distortion forecast in metal additive manufacturing
  The International Journal of Advanced Manufacturing Technology 2023 DOI: 10.1007/s00170-023-11974-1
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• Directed Gaussian process metamodeling with improved firefly algorithm (iFA) for composite manufacturing uncertainty propagation analysis
  The International Journal of Advanced Manufacturing Technology 2023 DOI: 10.1007/s00170-023-10994-1
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• Optimization of drop ejection frequency in EHD inkjet printing system using an improved Firefly Algorithm
  Applied Soft Computing Journal 2020 DOI: 10.1016/j.asoc.2020.106438
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• Optimization of electrochemical etching process for manufacturing of micro electrodes for micro-EDM application
  Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 2020 DOI: 10.1177/0954405420958961
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• Modeling of EHD inkjet printing performance using soft computing-based approaches
  Soft Computing 2020 DOI: 10.1007/s00500-019-04202-0
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• A New Approach to Quantify the Uniformity Grade of the Electrohydrodynamic Inkjet Printed Features and Optimization of Process Parameters Using Nature-Inspired Algorithms
  International Journal of Precision Engineering and Manufacturing 2020 DOI: 10.1007/s12541-019-00213-x
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