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Advanced Material, Machinability & Intelligent Future Manufacturing Systems

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

Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 8155

Special Issue Editors

Engineering & Technology Research Institute, Liverpool John Moores University, Byrom Street Liverpool, L3 3AF, UK
Interests: manufacturing technology; dynamics and vibro-impact systems; machine tool and tools
Special Issues, Collections and Topics in MDPI journals
School of Engineering, Liverpool John Moores University, Liverpool L3 3AF, UK
Interests: First principle Calculatuion; MD; Ground state properties; grain structures and phase; alloys and processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent years have seen several new discoveries and developments in materials including graphene, carbon nanotubes and a variety of ceramics. Material scientists have earnestly taken advantage of these new advances to create a myriad of new materials. This is achieved by mixing a range of basic components to engineer new composites, which have recently been implemented by manufacturing industries. The light weight and high strength of these composites make them very attractive and desirable for applications in aerospace, the automotive industries and general engineering. However, a limited focus is given to methods of machining these materials, such as metal matrix composites (MMC) or ceramic matrix composite (CMC), e.g., titanium aluminides, SiCp/Al,. Cf/C–SiC, C/SiC, in order to cite the more notorious materials.

To be used for their intended purposes, these materials need to be machined to shape with a tight tolerance. On the one hand, the bulk of the material contains very hard and abrasive inclusions that are aggressive to tools. On the other hand, these materials are very tough and brittle, and thus require new methods of machining, along with new tools. To facilitate the rapid uptake of these advanced materials and reap the benefits they offer, radical simulation and modelling play a pivotal role in terms of cost, time efficiency, and product quality.

The modelling and simulation of manufacturing processes are the best and most cost-effective methods for studying and investigating the performance of advanced materials in terms of manufacturing and quality-controlled manufacturing plant operation. 

This Special Issue is looking for new technologies: both current advanced materials manufacturing and the management of manufacturing/production systems and the projections of the future development of materials and production systems. 

The advanced simulation and modelling of tough, brittle, abrasive and hard-to-cut composite material is a game-changing technology in the digital era of manufacturing that will bridge the gap between material engineering and manufacturing engineering. Thus, this Special Issue will provide an insight into new methods that will enable and accelerate the adoption and introduction of new advanced materiala in the manufacture of high-performance products that are economically advantageous. 

We invite papers from experts in the fields of material characterization and material machining, focusing on their production processes that serve as an important resource to underpin further activities in manufacturing.  Papers will cover the current progress, gaps between areas and encourage new directions for research over the coming decades.

Therefore, contributions are welcomed from the following topics list of topics, which is by no means exhaustive:

  • Materials in additive manufacture of safety-critical components;
  • Manufacture of metal matrix composites (MMC) and ceramic matrix composites (CMC);
  • MMC and CMC composites, characterization and machinability;
  • New techniques in the machining of hard-to-machine materials;
  • Biological material manufacture process and applications;
  • Material and manufacturing process modelling ;
  • Modelling of machinability of composite materials;
  • Characterization of additive manufactured materials;
  • Manufacturing process modelling.

Dr. Andre Batako
Prof. Dr. James Ren
Dr. Anna Burduk
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

  • aerospace materials
  • composites
  • cutting tools
  • production management
  • process modelling

Published Papers (4 papers)

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Research

18 pages, 2771 KiB  
Article
Selected Determinants of Machines and Devices Standardization in Designing Automated Production Processes in Industry 4.0
by Piotr Kuryło, Adam Wysoczański, Joanna Cyganiuk, Maria Dzikuć, Szymon Szufa, Piotr Bonarski, Anna Burduk, Peter Frankovský, Piotr Motyka and Daniel Medyński
Materials 2023, 16(1), 312; https://doi.org/10.3390/ma16010312 - 29 Dec 2022
Cited by 6 | Viewed by 1733
Abstract
The study presents a practical application of multi-criteria standardization of machines and devices in the design of the automated production processes in industry 4.0 and its direct impact on the economic aspects of an enterprise, along with a comparison of the state before [...] Read more.
The study presents a practical application of multi-criteria standardization of machines and devices in the design of the automated production processes in industry 4.0 and its direct impact on the economic aspects of an enterprise, along with a comparison of the state before and after the implementation of the proposed changes. The solutions recommended in the article also fit into the assumptions of low-carbon development by implementing solutions that reduce energy consumption. The research carried out and presented in the text confirmed the effectiveness of the described solution. The study also presents examples confirming the correctness of implementing standardization, synergy and coherence in the design of production processes. Additionally, a new advanced eLean application was presented to support production processes in the field of Lean Management. The Total Productive Maintenance (TPM) module currently implemented in the industry is concerned with ensuring the maximum efficiency of machines and devices. Full article
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16 pages, 6416 KiB  
Article
Predictive Monitoring System for Autonomous Mobile Robots Battery Management Using the Industrial Internet of Things Technology
by Kamil Krot, Grzegorz Iskierka, Bartosz Poskart and Arkadiusz Gola
Materials 2022, 15(19), 6561; https://doi.org/10.3390/ma15196561 - 21 Sep 2022
Cited by 6 | Viewed by 1556
Abstract
The core of the research focuses on analyzing the discharge characteristic of a lithium NMC battery in an autonomous mobile robot, which can be used as a model to predict its future states depending on the amount of missions queued. In the presented [...] Read more.
The core of the research focuses on analyzing the discharge characteristic of a lithium NMC battery in an autonomous mobile robot, which can be used as a model to predict its future states depending on the amount of missions queued. In the presented practical example, an autonomous mobile robot is used for in-house transportation, where its missions are queued or delegated to other robots in the system depending on the robots’ predicted state of charge. The system with the implemented models has been tested in three scenarios, simulating real-life use cases, and has been examined in the context of the number of missions executed in total. The main finding of the research is that the battery discharge characteristic stays consistent regardless of the mission type or length, making it usable as a model for the predictive monitoring system, which allows for detection of obstruction of the default shortest paths for the programmed missions. The model is used to aid the maintenance department with information on any anomalies detected in the robot’s path or the behavior of the battery, making the transportation process safer and more efficient by alerting the employees to take action or delegate the excessive tasks to other robots. Full article
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24 pages, 10952 KiB  
Article
Characterization Studies on Graphene-Aluminium Nano Composites for Aerospace Launch Vehicle External Fuel Tank Structural Application
by Joel Jayaseelan, Ashwath Pazhani, Anthony Xavior Michael, Jeyapandiarajan Paulchamy, Andre Batako and Prashantha Kumar Hosamane Guruswamy
Materials 2022, 15(17), 5907; https://doi.org/10.3390/ma15175907 - 26 Aug 2022
Cited by 7 | Viewed by 1787
Abstract
From the aspect of exploring the alternative lightweight composite material for the aerospace launch vehicle external fuel tank structural components, the current research work studies three different grades of Aluminium alloy reinforced with varying graphene weight percentages that are processed through powder metallurgy [...] Read more.
From the aspect of exploring the alternative lightweight composite material for the aerospace launch vehicle external fuel tank structural components, the current research work studies three different grades of Aluminium alloy reinforced with varying graphene weight percentages that are processed through powder metallurgy (P/M) route. The prepared green compacts composite ingots are subjected to microwave processing (Sintering), hot extruded, and solution treated (T6). The developed Nano-graphene reinforced composite is studied further for the strength–microstructural integrity. The nature of the graphene reinforcement and its chemical existence within the composite is further studied, and it is found that hot extruded solution treated (HEST) composite exhibited low levels of carbide (Al4C3) formations, as composites processed by microwaves. Further, the samples of different grades reinforced with varying graphene percentages are subjected to mechanical characterisation tests such as the tensile test and hardness. It is found that 2 wt% graphene reinforced composites exhibited enhanced yield strength and ultimate tensile strength. Microstructural studies and fracture morphology are studied, and it is proven that composite processed via the microwave method has exhibited good ductile behaviour and promising failure mechanisms at higher load levels. Full article
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15 pages, 2727 KiB  
Article
Locating Chart Choice Based on the Decision-Making Approach
by Vitalii Ivanov, Frantisek Botko, Vitalii Kolos, Ivan Pavlenko, Michal Hatala, Katarzyna Antosz and Justyna Trojanowska
Materials 2022, 15(10), 3557; https://doi.org/10.3390/ma15103557 - 16 May 2022
Cited by 4 | Viewed by 1502
Abstract
Modern manufacturing engineering requires quick and reasonable solutions during the production planning stage, ensuring production efficiency and cost reduction. This research aims to create a scientific approach to the rational choice of a locating chart for complexly shaped parts. It is an important [...] Read more.
Modern manufacturing engineering requires quick and reasonable solutions during the production planning stage, ensuring production efficiency and cost reduction. This research aims to create a scientific approach to the rational choice of a locating chart for complexly shaped parts. It is an important stage during the manufacturing technology and fixture design process. The systematization of the designed and technological features of complexly shaped parts and the definition of the features that impact a locating chart create the fundamentals for justification. A scientific approach has been developed using the complex combination of the part’s features and a decision-making approach using the example of bracket-type parts. The matrix of design and technological features of parts was developed including steel AISI 3135 and cast iron DIN 1691. The classification of locating charts for bracket-type parts was defined. A mathematical model of the rational choice of the locating chart according to the structural code of the workpiece was verified in case studies from the practice. As a result, a decision-making approach was applied to the rational choice of the locating chart for any bracket-type part. The proposed solutions improve the production planning stage for machine building, automotive, and other industries. Full article
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