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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 | Sections - MDPI Robotics, Mechatronics and Intelligent Machines 516 Articles Dr Giuseppe Carbone Current Special Issues (34)
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 | 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
Machines | March 2025 - Browse Articles - MDPI To address the limitations of large silage machines in hilly and small-scale farming regions and the inefficiencies of existing small-scale crushing and baling machines, in this study, we developed an integrated silage crushing, shredding, and baling machine
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 | 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 | June 2025 - Browse Articles - MDPI Three different workshop layouts are analyzed, with varying numbers of machines in partitioned workshop areas A and B, to evaluate the performance and effectiveness of the proposed model