Search Results - "Pal, Deepankar"

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  1. 1

    Influence of processing parameters on the evolution of melt pool, porosity, and microstructures in Ti-6Al-4V alloy parts fabricated by selective laser melting by Dilip, J. J. S., Zhang, Shanshan, Teng, Chong, Zeng, Kai, Robinson, Chris, Pal, Deepankar, Stucker, Brent

    Published in Progress in additive manufacturing (01-09-2017)
    “…Selective laser melting involves melting and solidification of metal powder particles in a track-by-track and layer-by-layer method to fabricate 3D parts. The…”
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    Journal Article
  2. 2

    Establishing Flow Stress and Elongation Relationships as a Function of Microstructural Features of Ti6Al4V Alloy Processed using SLM by Akram, Javed, Pal, Deepankar, Stucker, Brent

    Published in Designs (01-06-2019)
    “…Selective laser melting (SLM) is an attractive technology for fabricating complex metal parts with reduced number of processing steps compared to traditional…”
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    Journal Article
  3. 3

    Understanding grain evolution in additive manufacturing through modeling by Akram, Javed, Chalavadi, Pradeep, Pal, Deepankar, Stucker, Brent

    Published in Additive manufacturing (01-05-2018)
    “…Variability in the mechanical properties of additively manufactured metal parts is a key concern for their application in service. One of the parameters…”
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    Journal Article
  4. 4

    Material-Response-Informed DeepONet and Its Application to Polycrystal Stress–Strain Prediction in Crystal Plasticity by He, Junyan, Pal, Deepankar, Najafi, Ali, Abueidda, Diab, Koric, Seid, Jasiuk, Iwona

    Published in JOM (1989) (01-10-2024)
    “…Crystal plasticity (CP) model is a vital tool for understanding structure–property relations, but it is computationally expensive. Hence, data-driven models…”
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    Journal Article
  5. 5

    Microstructure and Mechanical Behavior of 17-4 Precipitation Hardenable Steel Processed by Selective Laser Melting by Rafi, H. Khalid, Pal, Deepankar, Patil, Nachiket, Starr, Thomas L., Stucker, Brent E.

    “…The mechanical behavior and the microstructural evolution of 17-4 precipitation hardenable (PH) stainless steel processed using selective laser melting have…”
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    Journal Article
  6. 6

    A review of defect modeling in laser material processing by Teng, Chong, Pal, Deepankar, Gong, Haijun, Zeng, Kai, Briggs, Kevin, Patil, Nachiket, Stucker, Brent

    Published in Additive manufacturing (01-03-2017)
    “…Thermomechanical modeling of laser material processing in general, and defect modeling in particular, has raised attention in both academia and industry for…”
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    Journal Article
  7. 7

    Evaluations of effective thermal conductivity of support structures in selective laser melting by Zeng, Kai, Pal, Deepankar, Teng, Chong, Stucker, Brent E.

    Published in Additive manufacturing (01-04-2015)
    “…Simulations capable of predicting the complex thermal behavior which occurs in a selective laser melting (SLM) process would help design and manufacturing…”
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    Journal Article
  8. 8

    An Efficient Multi-Scale Simulation Architecture for the Prediction of Performance Metrics of Parts Fabricated Using Additive Manufacturing by Pal, Deepankar, Patil, Nachiket, Zeng, Kai, Teng, Chong, Stucker, Brent

    “…In this study, an overview of the computational tools developed in the area of metal-based additively manufactured (AM) to simulate the performance metrics…”
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    Journal Article
  9. 9

    Dislocation density-based finite element method modeling of ultrasonic consolidation by Pal, Deepankar

    Published 01-01-2011
    “…A dislocation density-based constitutive model has been developed and implemented into a crystal plasticity quasi-static finite element framework. This…”
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    Dissertation
  10. 10

    Material-Response-Informed DeepONet and its Application to Polycrystal Stress-strain Prediction in Crystal Plasticity by He, Junyan, Pal, Deepankar, Najafi, Ali, Abueidda, Diab, Koric, Seid, Jasiuk, Iwona

    Published 18-01-2024
    “…Crystal plasticity (CP) simulations are a tool for understanding how microstructure morphology and texture affect mechanical properties and are an essential…”
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    Journal Article
  11. 11

    An Efficient Model for Batch Annealing Using a Neural Network by Pal, Deepankar, Datta, Amlan, Sahay, Satyam S.

    Published in Materials and manufacturing processes (01-06-2006)
    “…A comprehensive process model, capturing heat transfer, phase transformation, and microstructural evolution, was recently developed for efficient process cycle…”
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    Journal Article
  12. 12

    Dislocation density-based finite element method modeling of ultrasonic consolidation by Pal, Deepankar

    “…A dislocation density-based constitutive model has been developed and implemented into a crystal plasticity quasi-static finite element framework. This…”
    Get full text
    Dissertation