Advances in Design by Metallic Materials: Synthesis, Characterization, Simulation and Applications

A special issue of Metals (ISSN 2075-4701).

Deadline for manuscript submissions: closed (31 December 2020) | Viewed by 44338

Printed Edition Available!
A printed edition of this Special Issue is available here.

Special Issue Editors


E-Mail Website
Guest Editor
Department of Industrial Engineering, Alma Mater Studiorum University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy
Interests: mechanical engineering; advanced materials; materials engineering; structural analysis; composite material; mechanical design; manufacturing engineering; quality in industry
Special Issues, Collections and Topics in MDPI journals
IWT, Department Physical Analysis. Leibniz Institute for Materials Engineering, 28359 Bremen, Germany
Interests: material characterization; steel; heat treatment; mechanical behaviour of materials; microstructure; X-ray diffraction; residual stresses; surface integrity; materials processing; additive manufacturing
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Mechanics, Material Science and Engineering, Faculty of Mechanical Engineering, Wrocław University of Science and Technology, Smoluchowskiego 25, 50-370 Wrocław, Poland
Interests: fatigue damage; reliability analysis; fatigue crack growth theory; failure analysis of metal materials; micromechanics of materials; multiscale materials modeling
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Faculty of Engineering, University of Kragujevac, 34000 Kragujevac, Serbia
Interests: advanced finite element simulations; structural analysis of metallic structures; continuum mechanics; fatigue; damage mechanics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Very recently, a great deal of attention has been paid by researchers and technologists to trying to eliminate metal materials in the design of products and processes in favor of plastics and composites. After a few years, it is possible to state that metal materials are even more present in our lives and this especially thanks to their ability to evolve. This Special Issue is focused on the recent evolution of metals and alloys with the scope of presenting the state of the art of solutions where metallic materials have become established, without a doubt, as a successful design solution thanks to their unique properties. The Special Issue also intends to outline the fundamental development trends in the field together with the most recent advances in the use of the metallic materials—Synthesis, advanced experimental characterization, material modelling and engineering applications. All these topics will be covered in this collection of contributions, as will a large assortment of metals and alloys, including steel, cast iron, aluminium, light alloys, precious and non-precious alloys, metal matrix composites, etc., together with their use. In terms of processes covered include traditional processes such as casting, deformation or material removal, but special attention will also be dedicated to the newest processes, such as laser sintering, rapid manufacturing and so on. Contributions will be considered noteworthy if they represent a real element of novelty in the world of metallic materials as well as in the advanced characterization and use of metals for effective design solutions.

Prof. Cristiano Fragassa
Dr. Jeremy Epp
Dr. Grzegorz Lesiuk
Prof. Miroslav Zivkovic
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. Metals 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 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

  • Design Solutions
  • Material Design
  • Metal and Alloys
  • Metalworking
  • Metal Properties
  • Advanced Characterization Methods
  • Processes and Treatments
  • Numerical Modelling
  • Design Industry

Related Special Issue

Published Papers (13 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Editorial

Jump to: Research

3 pages, 170 KiB  
Editorial
Advances in Design by Metallic Materials: Synthesis, Characterization, Simulation and Applications
by Cristiano Fragassa
Metals 2021, 11(2), 272; https://doi.org/10.3390/met11020272 - 05 Feb 2021
Viewed by 1247
Abstract
Metals have exerted a significant influence throughout the history of mankind, so much so that the different periods of development have often been marked with the name of some material: bronze age and iron age [...] Full article

Research

Jump to: Editorial

16 pages, 4185 KiB  
Article
Application of the Composite Hardness Models in the Analysis of Mechanical Characteristics of Electrolytically Deposited Copper Coatings: The Effect of the Type of Substrate
by Ivana O. Mladenović, Nebojša D. Nikolić, Jelena S. Lamovec, Dana Vasiljević-Radović and Vesna Radojević
Metals 2021, 11(1), 111; https://doi.org/10.3390/met11010111 - 08 Jan 2021
Cited by 13 | Viewed by 2037
Abstract
The mechanical characteristics of electrochemically deposited copper coatings have been examined by application of two hardness composite models: the Chicot-Lesage (C-L) and the Cheng-Gao (C-G) models. The 10, 20, 40 and 60 µm thick fine-grained Cu coatings were electrodeposited on the brass by [...] Read more.
The mechanical characteristics of electrochemically deposited copper coatings have been examined by application of two hardness composite models: the Chicot-Lesage (C-L) and the Cheng-Gao (C-G) models. The 10, 20, 40 and 60 µm thick fine-grained Cu coatings were electrodeposited on the brass by the regime of pulsating current (PC) at an average current density of 50 mA cm−2, and were characterized by scanning electron (SEM), atomic force (AFM) and optical (OM) microscopes. By application of the C-L model we determined a limiting relative indentation depth (RID) value that separates the area of the coating hardness from that with a strong effect of the substrate on the measured composite hardness. The coating hardness values in the 0.9418–1.1399 GPa range, obtained by the C-G model, confirmed the assumption that the Cu coatings on the brass belongs to the “soft film on hard substrate” composite hardness system. The obtained stress exponents in the 4.35–7.69 range at an applied load of 0.49 N indicated that the dominant creep mechanism is the dislocation creep and the dislocation climb. The obtained mechanical characteristics were compared with those recently obtained on the Si(111) substrate, and the effects of substrate characteristics such as hardness and roughness on the mechanical characteristics of the electrodeposited Cu coatings were discussed and explained. Full article
Show Figures

Figure 1

24 pages, 6879 KiB  
Article
A Modified Phase-Field Damage Model for Metal Plasticity at Finite Strains: Numerical Development and Experimental Validation
by Jelena Živković, Vladimir Dunić, Vladimir Milovanović, Ana Pavlović and Miroslav Živković
Metals 2021, 11(1), 47; https://doi.org/10.3390/met11010047 - 28 Dec 2020
Cited by 9 | Viewed by 2648
Abstract
Steel structures are designed to operate in an elastic domain, but sometimes plastic strains induce damage and fracture. Besides experimental investigation, a phase-field damage model (PFDM) emerged as a cutting-edge simulation technique for predicting damage evolution. In this paper, a von Mises metal [...] Read more.
Steel structures are designed to operate in an elastic domain, but sometimes plastic strains induce damage and fracture. Besides experimental investigation, a phase-field damage model (PFDM) emerged as a cutting-edge simulation technique for predicting damage evolution. In this paper, a von Mises metal plasticity model is modified and a coupling with PFDM is improved to simulate ductile behavior of metallic materials with or without constant stress plateau after yielding occurs. The proposed improvements are: (1) new coupling variable activated after the critical equivalent plastic strain is reached; (2) two-stage yield function consisting of perfect plasticity and extended Simo-type hardening functions. The uniaxial tension tests are conducted for verification purposes and identifying the material parameters. The staggered iterative scheme, multiplicative decomposition of the deformation gradient, and logarithmic natural strain measure are employed for the implementation into finite element method (FEM) software. The coupling is verified by the ‘one element’ example. The excellent qualitative and quantitative overlapping of the force-displacement response of experimental and simulation results is recorded. The practical significances of the proposed PFDM are a better insight into the simulation of damage evolution in steel structures, and an easy extension of existing the von Mises plasticity model coupled to damage phase-field. Full article
Show Figures

Figure 1

20 pages, 4403 KiB  
Article
Non-Destructive Micromagnetic Determination of Hardness and Case Hardening Depth Using Linear Regression Analysis and Artificial Neural Networks
by Rahel Jedamski and Jérémy Epp
Metals 2021, 11(1), 18; https://doi.org/10.3390/met11010018 - 24 Dec 2020
Cited by 14 | Viewed by 2348
Abstract
Non-destructive determination of workpiece properties after heat treatment is of great interest in the context of quality control in production but also for prevention of damage in subsequent grinding process. Micromagnetic methods offer good possibilities, but must first be calibrated with reference analyses [...] Read more.
Non-destructive determination of workpiece properties after heat treatment is of great interest in the context of quality control in production but also for prevention of damage in subsequent grinding process. Micromagnetic methods offer good possibilities, but must first be calibrated with reference analyses on known states. This work compares the accuracy and reliability of different calibration methods for non-destructive evaluation of carburizing depth and surface hardness of carburized steel. Linear regression analysis is used in comparison with new methods based on artificial neural networks. The comparison shows a slight advantage of neural network method and potential for further optimization of both approaches. The quality of the results can be influenced, among others, by the number of teaching steps for the neural network, whereas more teaching steps does not always lead to an improvement of accuracy for conditions not included in the initial calibration. Full article
Show Figures

Figure 1

14 pages, 7294 KiB  
Article
Minimal Invasive Diagnostic Capabilities and Effectiveness of CFRP-Patches Repairs in Long-Term Operated Metals
by Grzegorz Lesiuk, Bruno A. S. Pedrosa, Anna Zięty, Wojciech Błażejewski, Jose A. F. O. Correia, Abilio M. P. De Jesus and Cristiano Fragassa
Metals 2020, 10(7), 984; https://doi.org/10.3390/met10070984 - 21 Jul 2020
Cited by 11 | Viewed by 2339
Abstract
The paper deals with the subject of diagnostics and the quick repairs of long-term operated metallic materials. Special attention was paid to historical materials, where the structure (e.g., puddle iron) is different from modern structural steels. In such materials, the processes of microstructural [...] Read more.
The paper deals with the subject of diagnostics and the quick repairs of long-term operated metallic materials. Special attention was paid to historical materials, where the structure (e.g., puddle iron) is different from modern structural steels. In such materials, the processes of microstructural degradation occur as a result of several decades of exposure, which could overpass 100 years. In some cases, their intensity can be potentially catastrophic. For this reason, the search for minimally invasive diagnostic methods is ongoing. In this paper, corrosion and fracture toughness tests were conducted, and the results of these studies were presented for two material states: post-operated and normalized (as a state “restoring” virgin state). Moreover, through the use of modern numerical methods, composite crack-resistant patches have been designed to reduce the stress intensity factors under cyclic loads. As a result, fatigue lifetime was extended (propagation phase) by more than 300%. Full article
Show Figures

Figure 1

11 pages, 7283 KiB  
Article
Influence of Hot Forging Parameters on a Low Carbon Continuous Cooling Bainitic Steel Microstructure
by Antonio Carlos de Figueiredo Silveira, William Lemos Bevilaqua, Vinicius Waechter Dias, Pedro José de Castro, Jeremy Epp and Alexandre da Silva Rocha
Metals 2020, 10(5), 601; https://doi.org/10.3390/met10050601 - 06 May 2020
Cited by 14 | Viewed by 3561
Abstract
Thermomechanical processing of low carbon bainitic steels is used to obtain a bainitic microstructure with good strength and toughness by continuous cooling after forging without the need of further heat treating, hence reducing manufacturing costs. However, hot forging parameters can significantly influence the [...] Read more.
Thermomechanical processing of low carbon bainitic steels is used to obtain a bainitic microstructure with good strength and toughness by continuous cooling after forging without the need of further heat treating, hence reducing manufacturing costs. However, hot forging parameters can significantly influence the microstructure in the forged material. A series of heat treating and forging experiments was carried out to analyze the effect of austenitizing time and temperature on the grain growth and the effect of forging temperature on the Prior Austenite Grain Size (PAGS) and continuously cooled microstructure. The forged microstructures were characterized by optical microscopy, microhardness tests, and X-ray diffraction. The results indicate that at 1200 °C austenitizing temperature abnormal grain growth takes place. Forging temperature significantly affects the PAGS and the subsequently formed microstructure. At high forging temperature (1200 °C), an almost fully bainitic microstructure was obtained. As the forging temperature was reduced to 1100 and 1000 °C, the PAGS refined, while the polygonal ferrite faction increased and the amount of retained austenite decreased. Further evaluations showed that a decrease in the forging temperature results in a higher carbon concentration in solution in the retained austenite leading to a stabilization effect. Full article
Show Figures

Graphical abstract

17 pages, 4946 KiB  
Article
A Comprehensive Study into the Boltless Connections of Racking Systems
by Rodoljub Vujanac, Nenad Miloradović, Snežana Vulović and Ana Pavlović
Metals 2020, 10(2), 276; https://doi.org/10.3390/met10020276 - 20 Feb 2020
Cited by 6 | Viewed by 6740
Abstract
In practice, structures of pallet racks are characterized by very wide options of beam-to-column connections. The up to date part of the standard Eurocode 3 considers details for the design of connections. However, experimental determination of the joint properties in steel pallet racks [...] Read more.
In practice, structures of pallet racks are characterized by very wide options of beam-to-column connections. The up to date part of the standard Eurocode 3 considers details for the design of connections. However, experimental determination of the joint properties in steel pallet racks is the most reliable process, since it takes into account an inability to develop a general analytical model for the design of these connections. In this paper, a test procedure for the behavior of beam-to-column connections is presented and the results are analyzed according to the procedure defined in the relevant design codes. With aim to avoid expensive experiments to determine structural properties of different types of connections, a polynomial model and a corresponding numerical model were developed to be used for simulating the experiment. After verification, the developed analytical and numerical model can be applied for investigation of various combinations of beam-to-column connections. Full article
Show Figures

Figure 1

16 pages, 4366 KiB  
Article
Prediction and Analysis of Tensile Properties of Austenitic Stainless Steel Using Artificial Neural Network
by Yuxuan Wang, Xuebang Wu, Xiangyan Li, Zhuoming Xie, Rui Liu, Wei Liu, Yange Zhang, Yichun Xu and Changsong Liu
Metals 2020, 10(2), 234; https://doi.org/10.3390/met10020234 - 10 Feb 2020
Cited by 18 | Viewed by 4359
Abstract
Predicting mechanical properties of metals from big data is of great importance to materials engineering. The present work aims at applying artificial neural network (ANN) models to predict the tensile properties including yield strength (YS) and ultimate tensile strength (UTS) on austenitic stainless [...] Read more.
Predicting mechanical properties of metals from big data is of great importance to materials engineering. The present work aims at applying artificial neural network (ANN) models to predict the tensile properties including yield strength (YS) and ultimate tensile strength (UTS) on austenitic stainless steel as a function of chemical composition, heat treatment and test temperature. The developed models have good prediction performance for YS and UTS, with R values over 0.93. The models were also tested to verify the reliability and accuracy in the context of metallurgical principles and other data published in the literature. In addition, the mean impact value analysis was conducted to quantitatively examine the relative significance of each input variable for the improvement of prediction performance. The trained models can be used as a guideline for the preparation and development of new austenitic stainless steels with the required tensile properties. Full article
Show Figures

Figure 1

28 pages, 7534 KiB  
Article
Computational Modeling and Constructal Design Theory Applied to the Geometric Optimization of Thin Steel Plates with Stiffeners Subjected to Uniform Transverse Load
by Grégori Troina, Marcelo Cunha, Vinícius Pinto, Luiz Rocha, Elizaldo dos Santos, Cristiano Fragassa and Liércio Isoldi
Metals 2020, 10(2), 220; https://doi.org/10.3390/met10020220 - 04 Feb 2020
Cited by 19 | Viewed by 3411
Abstract
Stiffened thin steel plates are structures widely employed in aeronautical, civil, naval, and offshore engineering. Considering a practical application where a transverse uniform load acts on a simply supported stiffened steel plate, an approach associating computational modeling, Constructal Design method, and Exhaustive Search [...] Read more.
Stiffened thin steel plates are structures widely employed in aeronautical, civil, naval, and offshore engineering. Considering a practical application where a transverse uniform load acts on a simply supported stiffened steel plate, an approach associating computational modeling, Constructal Design method, and Exhaustive Search technique was employed aiming to minimize the central deflections of these plates. To do so, a non-stiffened plate was adopted as reference from which all studied stiffened plate’s geometries were originated by the transformation of a certain amount of steel of its thickness into longitudinal and transverse stiffeners. Different values for the stiffeners volume fraction (φ) were analyzed, representing the ratio between the volume of the stiffeners’ material and the total volume of the reference plate. Besides, the number of longitudinal (Nls) and transverse (Nts) stiffeners and the aspect ratio of stiffeners shape (hs/ts, being hs and ts, respectively, the height and thickness of stiffeners) were considered as degrees of freedom. The optimized plates were determined for all studied φ values and showed a deflection reduction of over 90% in comparison with the reference plate. Lastly, the influence of the φ parameter regarding the optimized plates was evaluated defining a configuration with the best structural performance among all analyzed cases. Full article
Show Figures

Figure 1

13 pages, 6240 KiB  
Article
Dry Sliding Wear Performance of ZA27/SiC/GraphiteComposites
by Nenad Miloradović, Rodoljub Vujanac, Slobodan Mitrović and Danijela Miloradović
Metals 2019, 9(7), 717; https://doi.org/10.3390/met9070717 - 26 Jun 2019
Cited by 13 | Viewed by 2732
Abstract
The paper describes the wear performance of zinc-aluminium ZA27 alloy, reinforced with silicon-carbide (SiC) and graphite (Gr) particles. The compo-casting technique produced the composite samples. The tested samples were: ZA27 alloy, ZA27/5%SiC composite, and ZA27/5%SiC/3%Gr hybrid composite. A block-on-disc tribometer was used during [...] Read more.
The paper describes the wear performance of zinc-aluminium ZA27 alloy, reinforced with silicon-carbide (SiC) and graphite (Gr) particles. The compo-casting technique produced the composite samples. The tested samples were: ZA27 alloy, ZA27/5%SiC composite, and ZA27/5%SiC/3%Gr hybrid composite. A block-on-disc tribometer was used during wear tests under the dry sliding conditions by varying the normal loads and sliding speeds. The sliding distance was constant during tests. The microstructure of the worn surfaces of the tested materials was analysed using the scanning electronic microscope (SEM) and the energy dispersive spectrometry (EDS). Full article
Show Figures

Figure 1

10 pages, 3183 KiB  
Article
Process and High-Temperature Oxidation Resistance of Pack-Aluminized Layers on Cast Iron
by Xing Wang, Yongzhe Fan, Xue Zhao, An Du, Ruina Ma and Xiaoming Cao
Metals 2019, 9(6), 648; https://doi.org/10.3390/met9060648 - 04 Jun 2019
Cited by 10 | Viewed by 3017
Abstract
Pack aluminizing of spheroidal graphite cast iron with different aluminizing temperature and time was studied. Results showed that the thickness of aluminized layer increased with the increasing temperature and time. The optimized process parameters are as follow: the aluminizing packed temperature is 830 [...] Read more.
Pack aluminizing of spheroidal graphite cast iron with different aluminizing temperature and time was studied. Results showed that the thickness of aluminized layer increased with the increasing temperature and time. The optimized process parameters are as follow: the aluminizing packed temperature is 830 °C and the time is 3 h. The aluminized layer consisted of the inner FeAl and the outer Fe2Al5. Some graphite nodules were observed in the aluminide layer after aluminizing. The mass gain of the aluminized cast iron was 0.405 mg/cm2, being 1/12 of the untreated substrate after oxidation. The high temperature oxidation resistance can be improved effectively by pack aluminizing, even though there were graphite nodules in the aluminide layer. Full article
Show Figures

Figure 1

15 pages, 18518 KiB  
Article
Comparative Study of Jet Slurry Erosion of Martensitic Stainless Steel with Tungsten Carbide HVOF Coating
by Galileo Santacruz, Antonio Shigueaki Takimi, Felipe Vannucchi de Camargo, Carlos Pérez Bergmann and Cristiano Fragassa
Metals 2019, 9(5), 600; https://doi.org/10.3390/met9050600 - 24 May 2019
Cited by 17 | Viewed by 4369
Abstract
This work evaluates the behavior of a martensitic stainless steel (AISI 410) thermally treated by quenching and tempering with a tungsten carbide (86WC-10Co-4Cr) coating obtained by high-velocity oxygen fuel (HVOF) thermal spray deposition, analyzing the volume loss under erosive attacks at 30 [...] Read more.
This work evaluates the behavior of a martensitic stainless steel (AISI 410) thermally treated by quenching and tempering with a tungsten carbide (86WC-10Co-4Cr) coating obtained by high-velocity oxygen fuel (HVOF) thermal spray deposition, analyzing the volume loss under erosive attacks at 30 and 90 incidence angles by using jet slurry erosion equipment with electrofused alumina erodent particles. Firstly, the characterization of the samples was carried out in terms of the microstructure (SEM), thickness, roughness, porosity, and microhardness. Then, samples were structurally characterized in the identification of the phases (XRD and EDS) present in the coating, as well as the particle size distribution (LG) and morphology of the erodent. It was determined that the tungsten carbide coating presented better resistance to jet slurry erosion wear when compared to the martensitic stainless steel analyzed, which is approximately two times higher for the 30 angle. The more ductile and brittle natures of the substrate and the coating, respectively, were evidenced by their higher volumetric erosion at 30 for the first and 90 for the latter, as well as their particular material removal mechanisms. The enhanced resistance of the coating is mainly attributed to its low porosity and high WC-Co content, resulting in elevated mechanical resistance. Full article
Show Figures

Figure 1

21 pages, 2356 KiB  
Article
Predicting the Tensile Behaviour of Cast Alloys by a Pattern Recognition Analysis on Experimental Data
by Cristiano Fragassa, Matej Babic, Carlos Perez Bergmann and Giangiacomo Minak
Metals 2019, 9(5), 557; https://doi.org/10.3390/met9050557 - 13 May 2019
Cited by 34 | Viewed by 4022
Abstract
The ability to accurately predict the mechanical properties of metals is essential for their correct use in the design of structures and components. This is even more important in the presence of materials, such as metal cast alloys, whose properties can vary significantly [...] Read more.
The ability to accurately predict the mechanical properties of metals is essential for their correct use in the design of structures and components. This is even more important in the presence of materials, such as metal cast alloys, whose properties can vary significantly in relation to their constituent elements, microstructures, process parameters or treatments. This study shows how a machine learning approach, based on pattern recognition analysis on experimental data, is able to offer acceptable precision predictions with respect to the main mechanical properties of metals, as in the case of ductile cast iron and compact graphite cast iron. The metallographic properties, such as graphite, ferrite and perlite content, extrapolated through macro indicators from micrographs by image analysis, are used as inputs for the machine learning algorithms, while the mechanical properties, such as yield strength, ultimate strength, ultimate strain and Young’s modulus, are derived as output. In particular, 3 different machine learning algorithms are trained starting from a dataset of 20–30 data for each material and the results offer high accuracy, often better than other predictive techniques. Concerns regarding the applicability of these predictive techniques in material design and product/process quality control are also discussed. Full article
Show Figures

Figure 1

Back to TopTop