Research and Applications on Advanced Digital Solutions for Fluid Machinery
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Turbomachinery".
Deadline for manuscript submissions: 31 January 2025 | Viewed by 369
Special Issue Editors
Interests: renewable energy; industrial digitalization and digital solutions; time-series modeling; scientific computing
Special Issues, Collections and Topics in MDPI journals
Interests: digital sensing; condition monitoring; computational fluid dynamics; fluid machinery
Special Issues, Collections and Topics in MDPI journals
Interests: hydroturbine; pump turbine; gas-liquid two-phase flow; solid-liquid two-phase flow; abrasion; CFD
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In the era of Industry 5.0, advanced digital solutions are revolutionizing the research, development, design, production and operation and maintenance of fluid machinery via the integration of IoT, AI, machine learning, digital twins, advanced control systems, AR/VR, supply chain and cloud computing. These technologies now play an essential role in enhancing the performance, reliability and sustainability of fluid machinery across industries.
In order to promote academic exchange and scientific and technological progress, we are pleased to invite you to share your latest findings regarding the research and application of digitization solutions for advanced fluid machinery.
Dr. Xingxing Huang
Prof. Dr. Xavier Escaler
Dr. Yonggang Lu
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.
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Keywords
- advanced digital solution
- internet of things (IoT)
- machine learning
- data analytics
- digital twins
- advanced control systems
- augmented reality (AR)
- virtual reality (VR)
- cloud computing
- predictive maintenance
- big data analytics
- AI algorithms
- performance optimization
- supply chain integration
- CAD, CAE, CAM
- scientific computing
- fluid machinery
- turbomachinery
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