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Advanced Production, Processing and Characterization of Industrial Materials

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A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Manufacturing Processes and Systems".

Deadline for manuscript submissions: 20 May 2024 | Viewed by 6987

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Special Issue Editors

Dr. Jozef Maščenik

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Guest Editor

Department of Design and Monitoring of Technical Systems, Faculty of Manufacturing Technologies with a Seat in Presov, Technical University of Kosice, Bayerova 1, 080 01 Presov, Slovakia
Interests: manufacturing technology; designing parts of machines and mechanisms; computer-aided design

Dr. Tibor Krenicky

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Guest Editor

Department of Technical Systems Design and Monitoring, Faculty of Manufacturing Technologies with a Seat in Prešov, Technical University of Košice, Bayerova 1, 080 01 Prešov, Slovakia
Interests: technical diagnostics; virtual instrumentation; mechanical engineering; nanomaterials
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Special Issue Information

Dear Colleagues,

The main aim of this Special Issue is to present the state of the research on advanced industrial materials production, modeling, processing, and characterization.

The objects of the research should report the investigation by using very specific models, methods, and/or instruments. The knowledge presented in this Special Issue—as well as methods, technical systems, and their applications—vindicate the strong potential to attract and impress researchers as well as other professionals, and will contribute to the unstoppable process of supplying answers to as yet unanswered questions or formulating new questions themselves.

Contributions should focus primarily on:

Materials modeling and characterization;
Advanced materials production and processing;
Industrial materials quality and reliability;
Surface properties optimization and characterization;
Advanced materials testing and inspection;
Environmental aspects of materials production;
Advances in the production of metals, plastics, composites, etc.;
Thermal processing for advanced properties in manufacturing;
Advances in additive production technologies.

Dr. Jozef Maščenik
Dr. Tibor Krenicky
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. Materials is an international peer-reviewed open access semimonthly 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 2600 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

production technologies
thermal processing
structure modeling
material surface
composites
material design
surface treatment
material quality test

Published Papers (6 papers)

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Research

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20 pages, 5385 KiB

Open AccessArticle

Nanoparticle Metrology of Silicates Using Time-Resolved Multiplexed Dye Fluorescence Anisotropy, Small Angle X-ray Scattering, and Molecular Dynamics Simulations

by Daniel Doveiko, Alan R. G. Martin, Vladislav Vyshemirsky, Simon Stebbing, Karina Kubiak-Ossowska, Olaf Rolinski, David J. S. Birch and Yu Chen

Materials 2024, 17(7), 1686; https://doi.org/10.3390/ma17071686 - 07 Apr 2024

Viewed by 569

Abstract

We investigate the nanometrology of sub-nanometre particle sizes in industrially manufactured sodium silicate liquors at high pH using time-resolved fluorescence anisotropy. Rather than the previous approach of using a single dye label, we investigate and quantify the advantages and limitations of multiplexing two fluorescent dye labels. Rotational times of the non-binding rhodamine B and adsorbing rhodamine 6G dyes are used to independently determine the medium microviscosity and the silicate particle radius, respectively. The anisotropy measurements were performed on the range of samples prepared by diluting the stock solution of silicate to concentrations ranging between 0.2 M and 2 M of NaOH and on the stock solution at different temperatures. Additionally, it was shown that the particle size can also be measured using a single excitation wavelength when both dyes are present in the sample. The recovered average particle size has an upper limit of 7.0 ± 1.2 Å. The obtained results were further verified using small-angle X-ray scattering, with the recovered particle size equal to 6.50 ± 0.08 Å. To disclose the impact of the dye label on the measured complex size, we further investigated the adsorption state of rhodamine 6G on silica nanoparticles using molecular dynamics simulations, which showed that the size contribution is strongly impacted by the size of the nanoparticle of interest. In the case of the higher radius of curvature (less curved) of larger particles, the size contribution of the dye label is below 10%, while in the case of smaller and more curved particles, the contribution increases significantly, which also suggests that the particles of interest might not be perfectly spherical. Full article

(This article belongs to the Special Issue Advanced Production, Processing and Characterization of Industrial Materials)

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18 pages, 8417 KiB

Open AccessArticle

Statistical Study of the Process Parameters for Achieving Continuous Consolidation of a Thermoplastic Composite

by Daniel Campos, Pere Maimí and Alberto Martín

Materials 2023, 16(20), 6723; https://doi.org/10.3390/ma16206723 - 17 Oct 2023

Cited by 1 | Viewed by 666

Abstract

Manufacturing components using thermoplastic composite materials necessitates a judicious balance among fabrication parameters, cost considerations and the ultimate quality of the elements produced. Continuous manufacturing technologies, exemplified by methods such as continuous compressing molding and glide forming, seek to revolutionize production through their continuous processing approach. This study aimed to investigate the effects different process parameters have on the final quality of the manufactured parts when a continuous manufacturing technology, such as glide forming, is applied to thermoplastic composite materials. An experimental rig was designed, and 19 samples were prepared using a unidirectional-carbon-fiber-reinforced LM-PAEK (low-melting polyaryletherketone) composite. The process parameters studied were temperature, pressure and forming speed. The quality of the final parts was evaluated based on their thickness and consolidation levels. The findings underscore the feasibility of leveraging continuous manufacturing technologies for producing components using thermoplastic composite materials, but the process parameters must be carefully controlled to ensure the quality of the final part. The models obtained could be used as a post-processing tool to predict thickness and consolidation levels when simulating the manufacture of a component on macroscale levels. Further research is needed to optimize the process parameters and study their effects on other thermoplastic composite materials. Full article

(This article belongs to the Special Issue Advanced Production, Processing and Characterization of Industrial Materials)

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17 pages, 17361 KiB

Open AccessArticle

Development of Electrodeposited Wire Mesh Grinding Wheel for Cutoff and Grooving Carbon Fiber Reinforced Plastic

by Mamoru Nomura, Shuji Kurashige, Yukio Ito, Yoshiya Fukuhara and Hiroyuki Sasahara

Materials 2023, 16(15), 5247; https://doi.org/10.3390/ma16155247 - 26 Jul 2023

Viewed by 775

Abstract

Carbon fiber reinforced plastic (CFRP) is used in various industries because of its high specific strength, but it is well known as a difficult material to cut. In this study, we developed a disc-shaped electrodeposited diamond wire mesh grinding wheel as a new method for cutoff and grooving with a large aspect ratio for CFRP. We confirmed that this tool could be used for machining at a feed rate of 1000 mm/min, equivalent to that of an abrasive waterjet. This tool discharges generated chips through the spaces in the wire mesh, preventing clogging and thereby enabling the suppression of machining temperature. No burrs or delamination were observed on the surface machined with the wire mesh grinding wheel, and the surface roughness was Ra = 2.76 µm. However, the groove width was larger than the wheel thickness due to the runout of the wheel. Additionally, the moderate elasticity and durability of the tool suggest that it might extend tool life by avoiding the crushing of abrasive grains. Full article

(This article belongs to the Special Issue Advanced Production, Processing and Characterization of Industrial Materials)

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15 pages, 8678 KiB

Open AccessArticle

Roughness Control of Surfaces Using a Laser Profilometer with the Selected Material Cutting Technology

by Juraj Ružbarský

Materials 2023, 16(11), 4109; https://doi.org/10.3390/ma16114109 - 31 May 2023

Viewed by 1327

Abstract

The article aims to assess the roughness of parting surfaces in the context of abrasive water jet technology for various materials. The evaluation is based on the feed speed of the cutting head, which is adjusted to achieve the desired final roughness, taking into consideration the stiffness of the material being cut. We used non-contact and contact methods to measure selected parameters of the roughness of the dividing surfaces. The study included two materials—namely, structural steel material S235JRG1 and aluminum alloy AW 5754. In addition to the above, the study involved using a cutting head with varying feed rates to achieve different surface roughness levels required by customers. The roughness parameters Ra and Rz of the cut surfaces were measured using a laser profilometer (laser profilometer). To ensure the accuracy of the laser profilometer, a control roughness measurement was conducted using a contact roughness gauge. The roughness values obtained for Ra and Rz from both measurement methods were plotted on a graph to illustrate their dependencies and were subsequently evaluated and compared. By measuring the roughness parameters Ra and Rz, the study was able to provide insights into the effectiveness of the cutting head’s feed rates in achieving the desired roughness levels. Additionally, by comparing the results of the laser profilometer and contact roughness gauge, the accuracy of the measurement non-contact method used in the study was verified. Full article

(This article belongs to the Special Issue Advanced Production, Processing and Characterization of Industrial Materials)

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Review

Jump to: Research

29 pages, 1612 KiB

Open AccessReview

Bridging Nanomanufacturing and Artificial Intelligence—A Comprehensive Review

by Mutha Nandipati, Olukayode Fatoki and Salil Desai

Materials 2024, 17(7), 1621; https://doi.org/10.3390/ma17071621 - 02 Apr 2024

Viewed by 1343

Abstract

Nanomanufacturing and digital manufacturing (DM) are defining the forefront of the fourth industrial revolution—Industry 4.0—as enabling technologies for the processing of materials spanning several length scales. This review delineates the evolution of nanomaterials and nanomanufacturing in the digital age for applications in medicine, robotics, sensory technology, semiconductors, and consumer electronics. The incorporation of artificial intelligence (AI) tools to explore nanomaterial synthesis, optimize nanomanufacturing processes, and aid high-fidelity nanoscale characterization is discussed. This paper elaborates on different machine-learning and deep-learning algorithms for analyzing nanoscale images, designing nanomaterials, and nano quality assurance. The challenges associated with the application of machine- and deep-learning models to achieve robust and accurate predictions are outlined. The prospects of incorporating sophisticated AI algorithms such as reinforced learning, explainable artificial intelligence (XAI), big data analytics for material synthesis, manufacturing process innovation, and nanosystem integration are discussed. Full article

(This article belongs to the Special Issue Advanced Production, Processing and Characterization of Industrial Materials)

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23 pages, 2851 KiB

Open AccessReview

Fused Deposition Modelling (FDM) of Thermoplastic-Based Filaments: Process and Rheological Properties—An Overview

by Domenico Acierno and Antonella Patti

Materials 2023, 16(24), 7664; https://doi.org/10.3390/ma16247664 - 15 Dec 2023

Cited by 2 | Viewed by 1475

Abstract

The fused deposition modeling (FDM) process, an extrusion-based 3D printing technology, enables the manufacture of complex geometrical elements. This technology employs diverse materials, including thermoplastic polymers and composites as well as recycled resins to encourage sustainable growth. FDM is used in a variety of industrial fields, including automotive, biomedical, and textiles, as a rapid prototyping method to reduce costs and shorten production time, or to develop items with detailed designs and high precision. The main phases of this technology include the feeding of solid filament into a molten chamber, capillary flow of a non-Newtonian fluid through a nozzle, layer deposition on the support base, and layer-to-layer adhesion. The viscoelastic properties of processed materials are essential in each of the FDM steps: (i) predicting the printability of the melted material during FDM extrusion and ensuring a continuous flow across the nozzle; (ii) controlling the deposition process of the molten filament on the print bed and avoiding fast material leakage and loss of precision in the molded part; and (iii) ensuring layer adhesion in the subsequent consolidation phase. Regarding this framework, this work aimed to collect knowledge on FDM extrusion and on different types of rheological properties in order to forecast the performance of thermoplastics. Full article

(This article belongs to the Special Issue Advanced Production, Processing and Characterization of Industrial Materials)

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