Process Monitoring and Quality Optimization in Manufacturing Engineering
A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 95
Special Issue Editors
Interests: process monitoring; sensor technology; CNC machining; thermophysics of grinding; off-line and on-line quality control; quality assessment by X-ray
Interests: process monitoring; sensor technology; CNC machining; mechatronic technological systems; hierarchical control; smart machining
Special Issue Information
Dear Colleagues,
Modern manufacturing engineering is undergoing a significant transformation driven by the need for increased efficiency, product quality, and process reliability. As production systems become more complex and interconnected, traditional methods of quality control and process supervision are no longer sufficient. The integration of smart sensors, machine learning, data analytics, and industrial Internet of Things (IIoT) technologies has paved the way for intelligent process monitoring systems capable of detecting anomalies, predicting failures, and ensuring consistent product quality.
This Special Issue will aim to explore the latest advancements, technologies, and strategies that enable manufacturers to monitor operations in real time and optimize performance across various stages of production thought monitoring technological system state parameters and process output parameters based on sensing measurements; tool condition monitoring; tool health monitoring; determination of remaining useful lifetime; condition-based maintenance system; prognostic health management; ‘smart’ tools; sensor fusion in machining; methods for processing initial sensor signals and methods of quality control of products at different stages of their production as well as methods of quality optimization.
This Special Issue seeks original research papers focusing on advances in all facets of online/offline machining diagnostics, process monitoring based on sensing and in-situ quality control and optimization.
We welcome papers that offer new research approaches, methodologies, sights and scientific directions in the abovementioned topics. We hope that this Special Issue will be useful and informative to seasoned scientists, inexperienced scientist and practitioners.
Dr. Natalia Lishchenko
Prof. Dr. Vasyl Larshin
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 250 words) can be sent to the Editorial Office for assessment.
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.
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.
Keywords
- advanced machining
- sensor monitoring
- sensors
- process monitoring
- tool condition monitoring
- signal processing
- sensing measurement
- diagnostic
- in situ quality optimization
- quality control
- quality control and assurance
- smart manufacturing
- data-driven optimization
- industrial Internet of Things
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.
Further information on MDPI's Special Issue policies can be found here.
