Ankur Kumar Agrawal

Employment

• KLA (United States) Application Development Engineer
  2023 - Present
• University of Wisconsin-Madison Graduate Research Assistant
  2019 - 2032

Education

• University of Pittsburgh MS
  2017 - 2018
• Indian Institute of Technology Bombay M.Tech.
  2014 - 2016
• National Institute of Technology Raipur B.Tech.
  2010 - 2014

Projects & Funding

Projects & funding information is unavailable.

Publications (14)

• Tailoring additive manufacturing to optimize dynamic properties in 316L stainless steel
  Journal of Applied Physics 2025 DOI: 10.1063/5.0245699
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• Hotspot discovery and variability analysis for advanced EUV processes
  Metrology, Inspection, and Process Control XXXVIII 2024 DOI: 10.1117/12.3011178
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• Dynamic spall properties of an additively manufactured, high-entropy alloy (CoCrFeMnNi)
  Materialia 2024 DOI: 10.1016/j.mtla.2023.101998
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• Use of repeated indenter sliding coupled with finite element computations to investigate the tribological response of nano-twinned 316L stainless steel
  Materialia 2023 DOI: 10.1016/j.mtla.2023.101959
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• Construction of Multi-Dimensional Functions for Optimization of Additive-Manufacturing Process Parameters
  SSRN 2023 DOI: 10.2139/ssrn.4666119
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• A High-Throughput Method to Define Additive Manufacturing Process Parameters: Application to Haynes 282
  Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science 2022 DOI: 10.1007/s11661-021-06517-w
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• High-throughput surface characterization to identify porosity defects in additively manufactured 316L stainless steel
  Additive Manufacturing Letters 2022 DOI: 10.1016/j.addlet.2022.100093
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• Influence of laser polishing on fatigue life of conventionally machined and laser powder bed fusion 316L stainless steel
  Manufacturing Letters 2022 DOI: 10.1016/j.mfglet.2022.07.083
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• Predictive process mapping for laser powder bed fusion: A review of existing analytical solutions
  Current Opinion in Solid State and Materials Science 2022 DOI: 10.1016/j.cossms.2022.101024
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• A dimensionless number for predicting universal processing parameter boundaries in metal powder bed additive manufacturing
  Manufacturing Letters 2021 DOI: 10.1016/j.mfglet.2020.12.002
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