Modern Technologies and Manufacturing Systems (3rd Edition)

Topic Information

Dear Colleagues,

Technology today is evolving at a rapid pace, enabling faster change and progress through accelerating the rate of change. The materials, methods, and technologies recognized several years ago as novel often seem to be insufficient to meet the requirements of the market and industry today. Accordingly, in the past several years, research on developing modern conceptions of manufacturing systems has revolved around new concepts that are able to meet the assumptions of focused flexibility and the challenges of the Industry 4.0 philosophy. In this context, new practical and scientific results are of great interest to the field of mechanical engineering. Special attention is given to problems concerning new manufacturing technologies and modern conceptions of manufacturing systems that allow us to create high-quality products with a high level of effectiveness and flexibility. Therefore, we would like to invite you to submit your research on the Topic “Modern Technologies and Manufacturing Systems (3rd Edition)”.

This Topic seeks high-quality works focusing on the following areas:

• Modern methods of machining;
• Metal-forming technologies;
• Joining technologies;
• Additive manufacturing technology;
• Laser machining technology;
• Industrial assembly technologies;
• Manufacturing engineering of composite materials;
• Manufacturing systems design for industrial applications;
• Paradigms of modern manufacturing system designs;
• Flexible and focused manufacturing systems;
• Reconfigurable manufacturing systems and other manufacturing concepts of the future;
• Simulation of production systems;
• Advanced industrial engineering;
• Manufacturing system capacity balancing;
• Sustainable material-handling systems;
• Virtual and augmented reality.

Prof. Dr. Arkadiusz Gola
Prof. Dr. Anna Burduk
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
Applied Sciences applsci	2.9	6.1	2011	15 Days	CHF 2400	Submit
Journal of Manufacturing and Materials Processing jmmp	4.0	5.7	2017	13.7 Days	CHF 1800	Submit
Machines machines	3.0	6.1	2013	15.9 Days	CHF 2400	Submit
Materials materials	3.7	7.0	2008	14.4 Days	CHF 2600	Submit
Processes processes	3.4	5.7	2013	14.7 Days	CHF 2400	Submit

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Published Papers (1 paper)

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All Applied Sciences JMMP Machines Materials Processes

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16 pages, 5908 KB  

Open AccessArticle

Normal-Direction Peak-to-Peak Displacement as a Low-Frequency Indicator of Surface Roughness in Finish Turning of EN AW-2011 Aluminum Alloy

by Renata Jackuvienė and Rimas Karpavičius

J. Manuf. Mater. Process. 2026, 10(4), 135; https://doi.org/10.3390/jmmp10040135 - 17 Apr 2026

Viewed by 1020

Abstract

Background: Surface roughness in turning operations is still verified predominantly after machining, which limits the possibility of timely corrective intervention. Methods: This study examined whether normal-direction peak-to-peak vibration displacement can serve as a practical low-frequency indicator of surface roughness during finish turning of [...] Read more.

Background: Surface roughness in turning operations is still verified predominantly after machining, which limits the possibility of timely corrective intervention. Methods: This study examined whether normal-direction peak-to-peak vibration displacement can serve as a practical low-frequency indicator of surface roughness during finish turning of EN AW-2011 aluminum alloy. The analysis was based on 190 synchronized displacement-roughness observation pairs obtained in one controlled experimental campaign on a CQ6230 conventional precision lathe, using a VB-8206SD displacement logger mounted radially on the tool holder and contact profilometry measurements reported as Ra and Rz. The analytical workflow included explicit quality-control safeguards for malformed rows, missing values, and obvious artefacts; in the present dataset, these checks did not indicate a failure state that would invalidate the main calculations. The workflow combined descriptive statistics, moving-average trend inspection, low-frequency FFT and STFT descriptors, Pearson correlation analysis, and ordinary least squares regression. Results: The displacement signal exhibited a mean value of 0.0446 mm with a standard deviation of 0.0256 mm and showed strong within-dataset linear relations with roughness parameters: Ra = 14.204 + 24.191 V (R² = 0.9929, RMSE = 0.052 µm) and Rz = 63.207 + 105.253 V (R² = 0.9905, RMSE = 0.264 µm). Conclusions: The results support setup-specific roughness-related process-state assessment using low-rate normal-direction displacement measurements. However, because the 190 records represent a time-ordered synchronized sequence rather than 190 independent cutting trials, and because no separate validation set was available, the fitted equations should be interpreted as descriptive within-setup calibration rather than as universally validated predictive models. Full article

(This article belongs to the Topic Modern Technologies and Manufacturing Systems (3rd Edition))

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