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48569 results in Computer Science

Page 44 of 2429

  • Machine learning as an enabler for design automation in engineering-to-order industry

  • Niccolò Batini, Niccolò Becattini, Gaetano Cascini
  • Journal:
    AI EDAM / Volume 39 / 2025
    Published online by Cambridge University Press:
    26 June 2025, e15
    • Article
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  • The engineering-to-order (ETO) sector, driven by the demands of new energy transition markets, is witnessing rapid innovation, especially in the design of complex systems of turbomachinery components. ETO involves tailoring products to meet specific customer requirements, often posing coordination challenges in integrating engineering and production. Meeting customer demands for short lead times without imposing high price premiums is a key industry challenge. This article explores the application of artificial neural networks as an enabler for design automation to deliver a first tentative optimal design solution in a short period of time with respect to more computationally demanding optimization methods. The research, conducted in collaboration with an energy company operating in the Oil & Gas and energy transition markets, focuses on the design process of reciprocating compressors as a means of study to develop and validate the developed methodology. Three case studies corresponding to as many representative jobs related to reciprocating compressor cylinders have been analyzed. The results indicate that the proposed method performs well within its training boundaries, delivering optimal solutions and providing reasonably accurate predictions for target configurations beyond these boundaries. However, in cases requiring a creative redesign using artificial neural networks may lead to errors that exceed acceptable tolerance levels. In any case, this methodology can significantly assist design engineers in the efficient design of complex systems of components, resulting in reduced operating and lead times.

  • 1 - Introduction

  • Jan Krajíček, Charles University, Prague
  • Book:
    Proof Complexity Generators
    Published online:
    29 May 2025
    Print publication:
    26 June 2025, pp 1-5

  • Summary

    The chapter gives the historic background in bounded arithmetic and describes how it lead to the development of the presented theory. It lists prerequisites and some notation and terminology to be used.

Page 44 of 2429