Special Issue "Manufacturing Processes, Intelligent Machines, and Smart Factories IoT in the Ibero-American Scenario"

A special issue of Journal of Manufacturing and Materials Processing (ISSN 2504-4494).

Deadline for manuscript submissions: closed (15 June 2020).

Special Issue Editors

Prof. Dr. Norberto López de Lacalle Marcaide
Website SciProfiles
Guest Editor
Department of Mechanical Engineering, University of the Basque Country UPV/EHU & CFAA, The Aeronautics Advanced Manufacturing Center, Bilbao, Spain
Interests: Machining of superalloys; additive manufacturing; welding; coatings; machining; manufacturing of aeroengine components; vibrations in manufacturing processes
Special Issues and Collections in MDPI journals
Prof. Dr. Alex Elías-Zúñiga
Website SciProfiles
Guest Editor
Tecnológico de Monterrey - Campus Monterrey, Centro de Innovación en Diseño y Tecnología, Av. Eugenio Garza Sada #2501, Monterrey, N.L. 64849 MÉXICO
Interests: manufaturing; advanced materials; constitutive equations; bioengineering; nanotechnology
Prof. Dr. Adriano Fagali de Souza
Website
Guest Editor
Research group on Computer Aided Manufacturing (GPCAM), Federal University of Santa Catarina (UFSC), Dona Francisca, 8300, Joinville-SC 89219-600, Brazil
Interests: machining of free-form geometries; micro-milling; machining force; die and moulds manufacturing; additive manufacturing; CAD/CAM/CAx integration and development; injection of plastic parts; 4.0 industry
Special Issues and Collections in MDPI journals
Dr. Diego Celentano
Website
Guest Editor
Departamento de Ingeniería Mecánica y Metalúrgica, Pontificia Universidad Católica de Chile
Interests: experimental characterization and numerical modelling of the mechanical behavior of materials; experimental analysis and thermomechanical–microstructural modelling of the industrial processes; numerical simulation oriented to the improvement of processes design; computational biomechanics
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

Throughout the entire world, manufacturing technology and factories are evolving rapidly with the help of new machine concepts, digital tools, improved processes, and research networking. Spain, Portugal, and all of the Ibero-American nations have the advantage of a shared historical background between two continents, an thus research, companies, and people share languages and common interests. Full collaborations with European and American universities and centers are common daily realities. That is why, in Ibero-America, one could come across, in some cases, the European-like term of Industry 4.0 concepts, as well as the more American terms, IoT (Internet of things), smart factories, and so on. The Ibero-American community is a melting pot of different approaches.

Ibero-American countries have already developed strategic sectors, such as mining, agriculture, heavy machinery, energy, and automotive applications, and are also in the process of developing aeronautics and biomedical niches. Spain and Portugal act as bridges between the European market and the Ibero-American scenario described. Mexico naturally partners with the other two North American countries. This Special Issue aims to bring together recent new ideas, contributions, common research, and case studies.

The four editors are located in different poles of the Ibero-American scenario. The Special Issue can be useful to illustrate the intensity of the current manufacturing technology research, how positive results are being discovered through collaboration, and the recent findings of research projects. The results from Ph.D. works are also very welcome.

The Special Issue is also open to research groups from all over the world who are looking to gain recognition in America, or in the scope of the global scientific community as a whole. Papers must be written in English.

Prof. Dr. Luis Norberto López de Lacalle
Prof. Dr. Alex Elías-Zúñiga
Prof. Dr. Adriano Fagali de Souza
Dr. Diego Celentano
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 papers will be 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. Journal of Manufacturing and Materials Processing is an international peer-reviewed open access quarterly 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 1000 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

  • Manufacturing processes
  • Machine tools
  • Heavy-duty machines and machining
  • Precision in machining
  • Internet of Things applied to production
  • Multitasking machines and processes
  • CAM and process modeling
  • Special manufacturing processes
  • Sheet metal forming
  • Forging and casting
  • Additive manufacturing
  • Digital twins applied to manufacturing
  • Smart factories
  • Micromanufacturing concepts and applications

Published Papers (3 papers)

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Research

Open AccessArticle
Thread Quality Control in High-Speed Tapping Cycles
J. Manuf. Mater. Process. 2020, 4(1), 9; https://doi.org/10.3390/jmmp4010009 - 04 Feb 2020
Cited by 1
Abstract
Thread quality control is becoming a widespread necessity in manufacturing to guarantee the geometry of the resulting screws on the workpiece due to the high industrial costs. Besides, the industrial inspection is manual provoking high rates of manufacturing delays. Therefore, the aim of [...] Read more.
Thread quality control is becoming a widespread necessity in manufacturing to guarantee the geometry of the resulting screws on the workpiece due to the high industrial costs. Besides, the industrial inspection is manual provoking high rates of manufacturing delays. Therefore, the aim of this paper consists of developing a statistical quality control approach acquiring the data (torque signal) coming from the spindle drive for assessing thread quality using different coatings. The system shows a red light when the tap wear is critical before machining in unacceptable screw threads. Therefore, the application could reduce these high industrial costs because it can work self-governance. Full article
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Open AccessArticle
Machine Tools Anomaly Detection Through Nearly Real-Time Data Analysis
J. Manuf. Mater. Process. 2019, 3(4), 97; https://doi.org/10.3390/jmmp3040097 - 02 Dec 2019
Cited by 1
Abstract
This work presents a new methodology for machine tools anomaly detection via operational data processing. The previous methodology has been field tested on a milling-boring machine in a real production environment. This paper also describes the data acquisition process, as well as the [...] Read more.
This work presents a new methodology for machine tools anomaly detection via operational data processing. The previous methodology has been field tested on a milling-boring machine in a real production environment. This paper also describes the data acquisition process, as well as the technical architecture needed for data processing. Subsequently, a technique for operational machine data segmentation based on dynamic time warping and hierarchical clustering is introduced. The formerly mentioned data segmentation and analysis technique allows for machine tools anomaly detection thanks to comparison between near real-time machine operational information, coming from strategically positioned sensors and outcomes collected from previous production cycles. Anomaly detection techniques shown in this article could achieve significant production improvements: “zero-defect manufacturing”, boosting factory efficiency, production plans scrap minimization, improvement of product quality, and the enhancement of overall equipment productivity. Full article
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Open AccessArticle
Effect of Graphene on Machinability of Glass Fiber Reinforced Polymer (GFRP)
J. Manuf. Mater. Process. 2019, 3(3), 78; https://doi.org/10.3390/jmmp3030078 - 03 Sep 2019
Abstract
Glass fiber reinforced polymers (GFRPs) are used extensively in many industries because of their low cost and high mechanical properties. Even if composite manufacturing processes are well controlled and allow to fabricate near net shapes, machining operations are still necessary to complete the [...] Read more.
Glass fiber reinforced polymers (GFRPs) are used extensively in many industries because of their low cost and high mechanical properties. Even if composite manufacturing processes are well controlled and allow to fabricate near net shapes, machining operations are still necessary to complete the manufacturing. As a composite material, GFRP machining remains difficult because of its heterogeneous and anisotropic character. This work intends to investigate the effect of graphene addition to the epoxy matrix of GFRP on its machinability. The epoxy was filled with 1 wt% graphene by mixing, sonicating, and then being used to produce unidirectional GFRP laminate by hand layup methods. Thermocouples were bonded on a chemical vapor deposition (CVD) diamond coated tool in order to record cutting temperatures during the trimming process. The cutting forces were recorded and the resulting surface roughness after trimming was measured to qualify properly the machinability of the modified GFRP. Compared to the reference material (GFRP without graphene), the additive improved the machining process by decreasing the cutting temperature and forces as well as the surface roughness without deteriorating the inter-laminar shear strength. Full article
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