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- Machines | An Open Access Journal from MDPI
Machines is an international, peer-reviewed, open access journal on machinery and engineering published monthly online by MDPI The IFToMM is affiliated with Machines and its members receive a discount on the article processing charges
- 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
- 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 | 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 | Sections - MDPI
Prof Dr Dan Zhang Current Special Issues (27) Robotics, Mechatronics and Intelligent Machines 563 Articles
- 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 | January 2025 - Browse Articles - MDPI
This study explores the optimization of the machining time in CNC milling machines by varying the machine parameters and toolpath strategies Using the ICAM3D simulation software version 3 1 0, this approach focuses on minimizing the machining time while adhering to operational constraints
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