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  • Machines | An Open Access Journal from MDPI
    Journal Cluster of Mechanical Manufacturing and Automation Control: Aerospace, Automation, Drones, Journal of Manufacturing and Materials Processing, Machines, Robotics and Technologies
  • Machines | Editorial Board - MDPI
    Interests: design of high precision machines; ultraprecision machining systems; micro-cutting mechanics and physics; multiscale multiphysics modelling and analysis; smart cutting tools and smart machining; physical AI for manufacturing systems
  • Machines | Instructions for Authors - MDPI
    Manuscripts for Machines should be submitted online at susy mdpi com The submitting author, who is generally the corresponding author, is responsible for the manuscript during the submission and peer review process
  • Machines | Aims Scope - MDPI
    About Machines Aims Machines (ISSN 2075-1702) is an international, peer-reviewed journal on machinery and engineering It publishes research articles, reviews and communications Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible
  • Machines | Special Issues - MDPI
    Machines publishes Special Issues to create collections of papers on specific topics, with the aim of building a community of authors and readers to discuss the latest research and develop new ideas and research directions
  • All Sections | Machines | MDPI
    The "Machine Design and Theory” Section focuses on the fundamental principles and advanced methodologies involved in the design, and optimization of machines
  • Machines | Article Processing Charges - MDPI
    All articles published in Machines (ISSN 2075-1702) are published in full open access An article processing charge (APC) of CHF 2400 (Swiss francs) applies to papers accepted after peer review
  • Machines | Section Electrical Machines and Drives - MDPI
    This section invites paper submissions on the emerging research and technologies related to electrical machines and drives (design, control, materials, optimization and diagnosis)




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