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  1. sciencedirect.com

    The current powder-scale model integrated with a thermodynamic database represents the first step, having been experimentally validated across multiple scenarios as above. It is expected to support multi-process simulations of melt pool heat transfer and phase changes in the LPBF process of additive manufacturing.
  2. tandfonline.com

    Nov 14, 20241. Introduction. Laser powder bed fusion (LPBF) is a pivotal metal additive manufacturing (AM) technology that employs a high-energy laser beam to selectively melt pre-laid metal powder layers for the production of three-dimensional parts [Citation 1, Citation 2].It utilises a small-sized beam, ensuring adequate energy for metal melting and achieving high manufacturing accuracy [Citation 3].
  3. sciencedirect.com

    Sep 1, 2023Despite the signal delay, the defects can still be revealed very accurately. ... al. (2022) used a thermal camera to monitor the temperature history of the powder surface immediately after depositing a new layer of powder. And based on the parameterized thermal history trained feedforward neural network model (FNN), it was used to predict the ...
  4. ietresearch.onlinelibrary.wiley.com

    3.1.2 Pre-processing and information on the data as part of the model. Machine learning methods and resulting data-driven predictive models only yield valid predictions if input data ranges or values are equal or similar to the values seen during the building phase [], that is as long as there are no changes in the environment which affect the model's, the controller's or the plant's behaviour.
    Author:Florian Bachinger, Gabriel Kronberger, Michael AffenzellerPublished:23 March 2021
  5. ieeexplore.ieee.org

    Different from the existing train delay studies that had strived to explore sophisticated algorithms, this paper focuses on finding the bound of improvements on predicting multi-scenario train delays with different machine learning methods. Motivated by the observation of deep learning methods failing to improve the prediction performance if the delay occurs rarely, we present a novel ...
  6. ncbi.nlm.nih.gov

    National Center for Biotechnology Information

    https://www.ncbi.nlm.nih.gov › books › NBK599556

    Jan 11, 2024Quality improvement is integral to many sectors, including business, manufacturing, and healthcare. Systematic and structured approaches are used to evaluate performance to improve standards and outcomes. The Institute of Medicine defines quality in healthcare as "the degree to which health services for individuals and populations increase the likelihood of desired health outcomes and are ...
  7. onlinelibrary.wiley.com

    Process signature was built into NIR calibration models by using blend samples that were collected from actual blend experiments under different processing conditions. Evaluation of various calibration algorithms including principal component regression (PCR), partial least squares (PLS), and multi‐term linear regression (MLR) was performed.
  8. link.springer.com

    Aug 16, 2024The adoption of artificial intelligence into industrial settings promises notable enhancements in productivity, quality, efficiency, competitiveness, and innovations. However, transitioning AI models from concept to full-scale industrial applications involves various complexities and challenges. These challenges are not only technical but also extend into the ethical and regulatory realms ...
  9. sciencedirect.com

    The apparent density of powder Distaloy AE is 3.08 g/cm 3 and the theoretical density is around 7.76 g/cm 3, so the initial relative density ρ 0 is 0.4. The initial height of powder was 11 mm and the final height was 5 mm after uniaxial compaction under punch velocity of 0.2 mm/s which was carried out on the 300 kN hydraulic machine.

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