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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 | 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 | 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 Receives an Updated Impact Factor of 2.5 - MDPI
We are pleased to share that Machines (ISSN: 2075-1702) was awarded an increased Impact Factor of 2.5 in the 2024 Journal Citation Reports™ released by Clarivate™ in June 2025. Machines ranks in Q2 in both “Engineering, Mechanical” and “Engineering, Electrical & Electronic” categories.

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.

Bioinspired Soft Machines: Engineering Nature’s Grace into Future ...
This article explores the transformative advances in soft machines, where biology, materials science, and engineering have converged. We discuss the remarkable adaptability and versatility of soft machines, whose designs draw inspiration from nature’s elegant solutions.

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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