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journal: Journal of Machine Design and Automation Intelligence
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Journal of Machine Design and Automation Intelligence

  • Editors-in-Chief: António M. Lopes and Lucas F. M. da Silva
  • Edited by: Kai Cheng and Jörg Wallaschek
Language: English
First published: March 30, 2023

About this journal

The Journal of Machine Design and Automation Intelligence (JMDAI) is to be devoted to publishing cutting edge research on all aspects of machine design, encompassing the manufacturing, testing and user applications industries. The journal will be highly cross disciplinary, publishing works that draw from the fields of mechanical, electrical, and aerospace engineering, mathematical and physical modelling, manufacture process engineering and computer science, to cite a few. The journal will accept research works from researchers operating in those fields (both in academic institutions and industrial research & development departments). JMDAI is not expected to include high level, purely theoretical research articles, as the underlying idea is to always ensure a connection with industrial applications that is as direct as possible, i.e., the technologies being presented in the research articles must have a relatively high technological readiness level. Within this context, frequent publication of highly practical research is expected, with cases studies being also welcomed and of interest to the potential readers. Of course, cutting edge contributions in numerical modelling, machine theory, structural design, materials, sensors and actuators, intelligent control and advanced data processing algorithms are welcome, and many submissions in these fields are expected to be published, provided there is a clear connection and potential regarding to their implementation. The subjects addressed by the JMDAI are highly topical, as machine designers are currently facing intense pressure to find new ways to reduce energy consumption, increase safety and deploy automation and self-learning capabilities. This has led to a significant focus on novel structural design, construction optimization techniques and artificial intelligence.

The Journal of Machine Design and Automation Intelligence is an online open access journal. It publishes only English-language articles. Articles are published immediately into an online annual open issue.

Submissions in the following fields are welcomed:
• Mechanical, electrical, and aerospace engineering
• Mathematical and physical modelling
• Manufacture process engineering and computer science
• Numerical modelling
• Machine theory
• Novel structural design
• Materials, sensors and actuators
• Intelligent control and advanced data processing algorithms
• Construction optimization techniques
• Artificial intelligence

Article formats
• Research Article
• Review Article
• Editorial
• Miscellaneous

Journal of Machine Design and Automation Intelligence publishes special and thematic issues focussed on important and emerging topics in the field of study. The journal has established a rigorous process to ensure that any special issue manuscripts follow the same high-quality standards and peer review processes as regular manuscripts. For further information on the journal’s peer review policy please see the "Instructions for Authors".

Call for Papers

Supplementary Materials

Submit Manuscript

Submission
You can easily submit your manuscript online. Simply go to https://mc.manuscriptcentral.com/jmdai and you will be guided through the whole peer reviewing and submission process.

Your benefits of publishing with us
  • Open Access publication
  • Research freely available for all to read and download
  • Authors retain copyright – articles published under the Creative Commons Attribution (CC-BY-4.0) License
  • Rapid publication times
  • Free publication of color figures
  • Accepted papers will be published online first as DOI-citable, forward-linked articles for quickest possible visibility for the scientific community
  • Every article easily discoverable because of Search Engine Optimization (SEO) and comprehensive abstracting and indexing services
  • Professional sales and marketing activities
  • Easy-to-use online submission, peer review, and publication system
  • Secure archiving by De Gruyter and the independent archiving service Portico
Submission process
  • Submission of your paper via our submission management tool following the Instructions for Authors (you will be guided through every step of the submission process)
  • The article processing charge (APC) for publishing a research article is € 1,000
  • Single-blind peer review process
  • A decision on your paper is aspired within approx. 6 weeks
  • Accepted articles are published online approx. 4 weeks after acceptance

Please note

We look forward to receiving your manuscript!

Editors-in-Chief

António M. Lopes
Faculty of Engineering, University of Porto, Portugal

Lucas F. M. da Silva
Faculty of Engineering, University of Porto, Portugal


Associate Editors

Kai Cheng
Brunel University, London, United Kingdom

Jörg Wallaschek
Leibniz University Hanover, Hannover, Germany


Editorial Board

Jan Awrejcewicz
Faculty of Mechanical Engineering, Lodz University of Technology, Poland

Giovanni Berselli
University of Genova, Italy

Raul Campilho
Polytechnic Institute of Porto, Portugal

Riccardo Caponetto
Università degli Studi di Messina, Italy

Ricardo Carbas
INEGI, Portugal

Liping Chen
Hefei University of Technology, China

Yong Chen
University of Hertfordshire, UK

Luciano E. Chiang
Pontificia Universidad Católica de Chile, Chile

Raffaele Di Gregorio
University of Ferrara, Ferrara, Italy

Spilios Fassois
University of Patras, Greece

Alfonso Fuentes-Aznar
Rochester Institute of Technology, Rochester, New York, USA

Huosheng Hu
School of Computer Science and Electronic Engineering, University of Essex, Colchester, UK

Hamid Reza Karimi
Department of Mechanical Engineering, Politecnico di Milano, Italy

Panagiotis Kyratsis
University of Western Macedonia, Greece

Pawel Antoni Malczyk
Warsaw University of Technology, Warsaw, Poland

Eduardo Marques
Faculty of Engineering, University of Porto, Portugal

John McPhee
University of Waterloo, Canada

Cristina Muresan
Department of Automation, Technical University of Cluj-Napoca, Romania

Yohichi Nakao
Kanagawa University, Japan

Filipe Pereira
Polytechnic of Porto and INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, Porto, Portugal

Andrea Piga Carboni
Universidade Federal de Santa Catarina, Brazil

Radu-Emil Precup
Politehnica University of Timişoara, Romania

Anna Reali
University of São Paulo, São Paulo, Brazil

Adriano A. Santos
Polytechnic of Porto and INEGI-Institute of Science and Innovation in Mechanical and Industrial Engineering, Porto, Portugal

Eurico Seabra
University of Minho, Portugal

Domen Šeruga
University of Ljubljana, Faculty of Mechanical Engineering, Slovenia

Francisco Silva
Polytechnic Institute of Porto, Portugal

Ahmed Shabana
The University of Illinois at Chicago, USA

João Sousa
University of Lisbon, Portugal

Patrick Wingertszah
RPTU University of Kaiserslautern-Landau, Kaiserslautern, Germany

Jinyang Xu
School of Mechanical Engineering, Shanghai Jiao Tong University, China

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Journal information
Additional information
eISSN:
2940-3693
Language:
English
Publisher:
De Gruyter
Additional information
First published:
March 30, 2023
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