Machine Tool Design, Intelligent Diagnosis and Application

Dear Colleagues,

The Special Issue on machine tool design, intelligent diagnosis, and application aims to explore the advancements and applications of intelligent technologies in the field of machine tool design and diagnosis. This Special Issue welcomes research papers, reviews, and case studies that address various aspects of machine tool design, intelligent diagnosis techniques, and their practical applications. The primary focus of this Special Issue is to highlight the latest developments and innovations in machine tool design, including novel designs, materials, structures, and control systems. It seeks to bring together researchers, engineers, and practitioners to share their insights and experiences in enhancing the performance, efficiency, and reliability of machine tools through intelligent design approaches. Additionally, this Special Issue emphasizes intelligent diagnosis techniques for machine tools. It invites contributions on the use of artificial intelligence, machine learning, data analytics, and other intelligent methods to diagnose and predict the health condition, fault detection, and failure analysis of machine tools.

Furthermore, the Special Issue aims to showcase practical applications and case studies that demonstrate the successful implementation of intelligent technologies in the field of machine tools. Contributions focusing on industrial applications, productivity improvements, energy efficiency, and sustainability are particularly welcome. The ultimate goal of this Special Issue is to foster knowledge exchange and promote advancements in machine tool design, intelligent diagnosis, and their application. Topics include, but are not limited to:

• intelligent diagnosis algorithms;
• sensor integration;
• real-time monitoring;
• decision support systems
• intelligent machine tool systems;
• adaptive control strategies;
• smart manufacturing processes;
• optimization techniques.

Prof. Dr. Ahmad Razlan Yusoff
Prof. Dr. Zamberi Jamaludin
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. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• machine tool design
• intelligent diagnosis
• practical applications
• performance enhancement
• real-world applications and reliability