Submit to Machines Review for Machines Propose a Special Issue

Journal Menu

Journal Browser

► Journal Browser

10th Anniversary of Machines—Feature Papers in Advanced Manufacturing

Special Issue Editors
Special Issue Information
Keywords
Benefits of Publishing in a Special Issue
Published Papers

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Advanced Manufacturing".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 32365

Share This Special Issue

Special Issue Editors

Prof. Dr. Kai Cheng

E-Mail Website
Guest Editor

College of Engineering, Design and Physical Sciences, Brunel University London, Uxbridge, London UB8 3PH, UK
Interests: design of high precision machines; air-bearings design; micro cutting; ultraprecision machining; smart tooling
Special Issues, Collections and Topics in MDPI journals

Prof. Dr. Hamid Reza Karimi

E-Mail Website
Guest Editor

Department of Mechanical Engineering, Politecnico di Milano, Via La Masa 1, 20156 Milan, Italy
Interests: control theory; mechatronics; sensors and actuators; motion control; vibration control; vehicle dynamics; fault detection; health monitoring; wind energy
Special Issues, Collections and Topics in MDPI journals

Prof. Dr. Mark J. Jackson

E-Mail Website
Guest Editor

Space Systems and Operations, Aerospace and Technology Campus, Kansas State University, Salina, KS 67401, USA
Interests: machine tools; machining; grinding; physics and chemistry of solids; advanced manufacturing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

To celebrate the 10th year of Machines, we plan to launch this anniversary Special Issue on Advanced Manufacturing, featuring insight into advanced machines, machining systems, and next generation and/or future machines/systems in the context of advanced manufacturing.

Therefore, the aim of collating this Special Issue is to provide a forum for researchers and practitioners to review the state-of-the-art in advanced manufacturing, advanced machines and machining systems, the underlying manufacturing science and fundamentals, and to identify possible directions for future R&D and applications. Original contributions should discuss the innovative development and application of advanced manufacturing. Emphasis will be on the knowledge, innovation, and insights accumulated over the last two decades or so, and also on opportunities and implications for the future of the 21st century. Possible topics within this scope include, but are not limited to, the keyworded list below.

Prof. Dr. Kai Cheng
Prof. Dr. Hamid Reza Karimi
Prof. Dr. Mark J. Jackson
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. Machines 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 2400 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

high precision machines
ultraprecision machining
micro and nano cutting
hybrid processes and machines
advanced manufacturing using lasers
additive manufacturing
precision manufacturing of biomedical devices
freefrom and complex surfaces manufacturing
digital and e-manufacturing
digital twins and CPS
machines and machining dynamics
grinding and abrasive machining
non-traditional manufacturing
industrial metrology and instruments
next generation machines
intelligent manufacturing
diagnosis in advanced manufacturing systems
advanced robotics for manufacturing
industry 4.0 and future factories

Benefits of Publishing in a Special Issue

Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

Further information on MDPI's Special Issue polices can be found here.

Published Papers (12 papers)

Download All Papers

Order results

Result details

Show export options Show export options

Select all

Export citation of selected articles as:

Research

Jump to: Review

15 pages, 5728 KiB

Open AccessArticle

A Decoupling Algorithm-Based Technology for Predicting and Regulating the Unbalance of Aircraft Rotor Assembly Considering Manufacturing Errors

by Yingjie Zhao, Xiaokai Mu, Jian Liu, Qingchao Sun, Ping Zhou and Guozhen Fang

Machines 2023, 11(10), 970; https://doi.org/10.3390/machines11100970 - 18 Oct 2023

Viewed by 1243

Abstract

Rotor unbalance is the most important factor affecting the dynamic performance of aircraft engines. The existing unbalance prediction and control methods are insufficient for multi-stage rotors. The post-assembly unbalance of rotors in aircraft engines is a critical factor affecting their dynamic performance. In order to predict and reduce the unbalance of multi-stage rotors after assembly, this paper establishes a measurement model for the center-of-mass offset of aircraft engine rotors through decoupled calculations of the unbalance. Furthermore, it constructs an unbalance prediction model using the spatial transfer mechanism of combined rotor offset centers under the influence of manufacturing errors. Additionally, a method for measuring rotor unbalance during the assembly phase is proposed. The experimental results of the unbalance in multi-stage combined rotor assembly indicate that the degree of agreement between the predicted results and the experimental results is 91.3%, resulting in a reduction in the mean error of 15.3% compared to before the correction. The study also investigates the impact of manufacturing errors on unbalance. This research provides robust support for controlling the unbalance in multi-stage combined rotor assembly. Full article

(This article belongs to the Special Issue 10th Anniversary of Machines—Feature Papers in Advanced Manufacturing)

► Show Figures

Figure 1

19 pages, 6137 KiB

Open AccessArticle

Tool Wear Monitoring Based on the Gray Wolf Optimized Variational Mode Decomposition Algorithm and Hilbert–Huang Transformation in Machining Stainless Steel

by Wei Wei, Guichao He, Jingyi Yang, Guangxian Li and Songlin Ding

Machines 2023, 11(8), 806; https://doi.org/10.3390/machines11080806 - 6 Aug 2023

Cited by 3 | Viewed by 1380

Abstract

The online monitoring and prediction of tool wear are important to maintain the stability of machining processes. In most cases, the tool wear condition can be evaluated by signals such as force, sound, vibration, and temperature, which are often processed via Fourier-transform based methods, typically, the short-time Fourier transform (STFT). However, the fixed-width window function in STFT has many limitations. In this paper, a novel tool wear monitoring method based on variational mode decomposition (VMD) and Hilbert–Huang transformation (HHT) were developed to monitor the wear of carbide tools in machining stainless steel. In this method, the intrinsic mode function (IMF) was used as the fitness function, and the (K alpha) parameter sets for VMD were optimized by the gray wolf optimization (GWO). The results show that the characteristic frequency in the GWO-VMD-HHT method is more significant with no aliasing compared with the EMD-HHT method, and an obvious characteristic frequency shift phenomenon is present. By utilizing the energy value of IMF₃ as the feature to classify the wear state of the cutting tool, the increase of energy reached 85.48% when 260–315 milling passes were in severe wear state. GWO, which can accurately find the best parameters for VMD, not only solves the problem that the Entropy Function is not suitable for force signals, but also provides reference for the selection of parameters of VMD. Full article

(This article belongs to the Special Issue 10th Anniversary of Machines—Feature Papers in Advanced Manufacturing)

► Show Figures

Figure 1

12 pages, 24388 KiB

Open AccessEditor’s ChoiceArticle

Design, Realization, and Test of Ultraviolet-C LED Arrays Suitable for Long-Lasting Irradiation of Biological Samples

by Sarah Bollanti, Paolo Di Lazzaro, Francesco Flora, Gian Piero Gallerano, Luca Mezi, Daniele Murra and Massimo Aquilini

Machines 2023, 11(8), 792; https://doi.org/10.3390/machines11080792 - 1 Aug 2023

Cited by 1 | Viewed by 1321

Abstract

We present the electrical and optical design, assembling, and thorough experimental characterization of two compact arrays of short-wavelength ultraviolet (UV-C) light-emitting diodes (LEDs) suitable for near-field irradiation. Through a combination of technical expedients, we have achieved effective thermal management such that long-lasting irradiations are possible without appreciable deterioration of UV-C emission. We successfully used these compact UV-C LED arrays for long lasting irradiation tests aimed at generating the biosynthesis of defensive metabolites that enhance the resistance of plants and fruits to pathogen attacks. Finally, we comment on the possibility of implementing these compact UV-C sources on robotic systems to make an automated device suitable to reduce pesticide use in agricultural crops. Full article

(This article belongs to the Special Issue 10th Anniversary of Machines—Feature Papers in Advanced Manufacturing)

► Show Figures

Figure 1

22 pages, 7117 KiB

Open AccessArticle

Turning Chatter Detection Using a Multi-Input Convolutional Neural Network via Image and Sound Signal

by Quang Ngoc The Ho, Thanh Trung Do, Pham Son Minh, Van-Thuc Nguyen and Van Thanh Tien Nguyen

Machines 2023, 11(6), 644; https://doi.org/10.3390/machines11060644 - 13 Jun 2023

Cited by 8 | Viewed by 2147

Abstract

In mechanical cutting and machining, self-excited vibration known as “Chatter” often occurs, adversely affecting a product’s quality and tool life. This article proposes a method to identify chatter by applying a machine learning model to classify data, determining whether the machining process is stable or vibrational. Previously, research studies have used detailed surface image data and sound generated during the machining process. To increase the specificity of the research data, we constructed a two-input model that enables the inclusion of both acoustic and visual data into the model. Data for training, testing, and calibration were collected from machining flanges SS400 in the form of thin steel sheets, using electron microscopes for imaging and microphones for sound recording. The study also compares the accuracy of the two-input model with popular models such as a visual geometry group network (VGG16), residual network (Restnet50), dense convolutional network (DenseNet), and Inception network (InceptionNet). The results show that the DenseNet model has the highest accuracy of 98.8%, while the two-input model has a 98% higher accuracy than other models; however, the two-input model is more appreciated due to the generality of the input data of the model. Experimental results show that the recommended model has good results in this work. Full article

(This article belongs to the Special Issue 10th Anniversary of Machines—Feature Papers in Advanced Manufacturing)

► Show Figures

Figure 1

21 pages, 11410 KiB

Open AccessArticle

Effects of Tooth Modification in the Involute Helical Gear Form-Grinding Process on Loaded Transmission Character with Consideration of Tooth Axial Inclination Error

by Yongming Yang, Yunlong Wu, Yan Li and Xinrong Liu

Machines 2023, 11(2), 305; https://doi.org/10.3390/machines11020305 - 17 Feb 2023

Cited by 6 | Viewed by 2441

Abstract

Due to the existence of machining and installation errors, axis parallelism error of gear pairs occurs, which causes eccentric load and mesh in-out impact, thus weakening loaded transmission character. To solve this problem, the axis parallelism error of gear pairs was equated with tooth axial inclination error based on the gear-meshing principle. On this basis, we established the tooth modification model with tooth axial inclination error as the variable according to involute helical gear form-grinding process. Then, the degradation of loaded transmission character caused by axis parallelism error of gear pairs was quantitatively analyzed. The gear grinding, gear measuring, and gearbox vibration measuring were, respectively, performed on high-precision CNC horizontal gear form-grinding machine tool L300G, Gleason 350 GMS, and JWY-II multifunctional gearbox loading test bench. The results show that the proposed method can effectively reduce eccentric load and mesh in-out impact and significantly improve loaded transmission character. Therefore, it can provide a theoretical and experimental basis for the research of high-performance gear-grinding technology of gear-grinder machines. Full article

(This article belongs to the Special Issue 10th Anniversary of Machines—Feature Papers in Advanced Manufacturing)

► Show Figures

Figure 1

19 pages, 4039 KiB

Open AccessArticle

zPasteurAIzer: An AI-Enabled Solution for Product Quality Monitoring in Tunnel Pasteurization Machines

by Samuel Olaiya Afolaranmi, Michalis Drakoulelis, Gabriel Filios, Christian Melchiorre, Sotiris Nikoletseas, Stefanos H. Panagiotou and Konstantinos Timpilis

Machines 2023, 11(2), 191; https://doi.org/10.3390/machines11020191 - 1 Feb 2023

Cited by 4 | Viewed by 2714

Abstract

In the food and beverage industry, many foods, beers, and soft drinks need to be pasteurized in order to minimize the effect of micro-organisms on the physical stability, quality, and flavour of the product. Although modern tunnel pasteurizers provide integrated solutions for precise process monitoring and control, a great number of packaging plants continue to operate with legacy pasteurizers that require irregular manual measurements to be performed by shop floor operators in order to monitor the process. In this context, the present paper presents zPasteurAIzer, an end-to-end system that provides real-time quality monitoring for legacy tunnel pasteurization machines and constitutes a low-cost alternative to replacement or the upgrading of installed equipment by leveraging IoT technologies and AI-enabled virtual sensing techniques. We share details on the design and implementation of the system, which is based on a microservice-oriented architecture and includes functionalities such as configuration of the pasteurizer machine, data acquisition, and preprocessing methodology as well as machine learning-based estimation and live dashboard monitoring of the process parameters. Experimental work has been conducted in a real-world use case at a large brewing manufacturing plant in Greece, and the results indicate the value and potential of the proposed system. Full article

(This article belongs to the Special Issue 10th Anniversary of Machines—Feature Papers in Advanced Manufacturing)

► Show Figures

Figure 1

15 pages, 6076 KiB

Open AccessArticle

Application of Flowsheet Simulation Methodology to Improve Productivity and Sustainability of Porcelain Tile Manufacturing

by Carine Lourenco Alves, Vasyl Skorych, Agenor De Noni Jr., Dachamir Hotza, Sergio Yesid Gómez González and Stefan Heinrich

Machines 2023, 11(2), 137; https://doi.org/10.3390/machines11020137 - 19 Jan 2023

Cited by 3 | Viewed by 3760

Abstract

Porcelain tile manufacturing is an energy-intensive industry that is in dire need of increasing productivity, minimizing costs, and reducing CO₂ emissions, while keeping the product quality intact to remain competitive in today’s environment. In this contribution, alternative processing parameters for the porcelain tile production sequence were proposed based on simulation-based process optimization. Flowsheet simulations in the Dyssol framework were used to study the impact of the milling and firing process parameters on the electrical and thermal energy consumption, final product quality, and productivity of the entire processing sequence. For this purpose, a new model of gas flow consumption in the sintering stage was proposed and implemented. During optimization, the primary condition was to maintain the product quality by keeping the final open porosity of the tile within the specified industrial range. The proposed simulation methodology proved to be effective in predicting the influence of the processing parameters on the intermediate and final products of the manufacturing sequence, as well as in estimating the production costs for the Brazilian and Spanish economic conditions. This approach has shown great potential to promote digitalization and establish digital twins in ceramic tile manufacturing for further in-line process control. Full article

(This article belongs to the Special Issue 10th Anniversary of Machines—Feature Papers in Advanced Manufacturing)

► Show Figures

Figure 1

19 pages, 888 KiB

Open AccessArticle

A Digital Twin Model of Three-Dimensional Shading for Simulation of the Ironmaking Process

by Yongxiang Lei and Hamid Reza Karimi

Machines 2022, 10(12), 1122; https://doi.org/10.3390/machines10121122 - 27 Nov 2022

Cited by 3 | Viewed by 2192

Abstract

Advanced manufacturing is a new trend for sustainable industrial development, and digital twin is a new technology that has attracted attention. Blast furnace smelting is an effective method in the manufacturing of iron and steel. Comprehensive and dependable surveillance of the blast furnace smelting process is essential for ensuring the smooth operation and improving of iron and steel output quality. The current technology makes it difficult to monitor the entire process of blast furnace ironmaking. Based on Unity 3D, this study presents a digital-twin virtual reality simulation system of blast furnace ironmaking. First, shading modeling creates a three-dimensional dynamic geometric model in different ironmaking system scenarios. Then, we script the animation and call particle system according to the motion mode of distinct geometric objects to give the dynamic effect of geometric objects. Shaders are the focus of the design and contributions. In addition, shader optimization technology can reduce hardware resource consumption and increase system fluency. Vertex shaders are used for all types of coordinate space transformation and vertex output; fragment shaders are used for texture sampling, light model calculation, normal calculation, noise superposition, and color output. The shader rendering technique allows for more realistic lighting effects. The presented dynamic digital twin system implements more realistic lighting analyzed in the ironmaking process. Virtual interaction logic’s design and deployment process is based on HTC VIVE hardware and VRTK toolkit. In the actual simulation process, the typical animation frame rate is stable at about 75 FPS (frames per second). The simulation system runs smoothly and a cutting-edge and state-of-the-art method for observing the blast furnace ironmaking process is suggested. Full article

(This article belongs to the Special Issue 10th Anniversary of Machines—Feature Papers in Advanced Manufacturing)

► Show Figures

Figure 1

19 pages, 1473 KiB

Open AccessArticle

A Nonlinear Control of Linear Slider Considering Position Dependence of Interlinkage Flux

by Tomoya Hoshina and Mingcong Deng

Machines 2022, 10(7), 522; https://doi.org/10.3390/machines10070522 - 27 Jun 2022

Cited by 3 | Viewed by 1761

Abstract

Linear sliders are linear actuators using linear motors. It is used in many applications, such as factory lines and linear motor cars. In recent years, the demand for smaller semiconductor devices has been increasing due to the proliferation of smartphones. High-precision positioning of linear motors is needed because manufacturing semiconductor devices uses the stage with linear motors. However, linear motors have nonlinearity due to the position dependence of interlinkage flux. It affects precise positioning. In this study, the nonlinear characteristics due to the position dependence of the flux are expressed as a mathematical model by using a distributed constant magnetic circuit. A method compensating it using an operator-based feedback controller with the obtained mathematical model is proposed. The effectiveness of the proposed method is confirmed by simulating and experimenting with the reference following disturbance elimination. Full article

(This article belongs to the Special Issue 10th Anniversary of Machines—Feature Papers in Advanced Manufacturing)

► Show Figures

Figure 1

22 pages, 8422 KiB

Open AccessArticle

Developing a Novel Fully Automated Concept to Produce Bowden Cables for the Automotive Industry

by Vitor Fernando Crespim Sousa, Francisco José Gomes da Silva, Raul Duarte Salgueiral Gomes Campilho, Arnaldo Guedes Pinto, Luís Pinto Ferreira and Nuno Martins

Machines 2022, 10(5), 290; https://doi.org/10.3390/machines10050290 - 21 Apr 2022

Cited by 6 | Viewed by 2685

Abstract

The automotive industry is one of the driving forces of the global industry; thus, it is a very competitive sector which creates a constant need for process improvement, regarding productivity, quality, and flexibility. Automation has proven to be a viable solution for these production problems, with the rising adoption of these automated system by companies that try to design and implement more flexible systems, while reducing costs and improving process quality. Furthermore, the use of automation reduces the manpower factor and its associated variability. In the present work, a new concept for a Bowden cable production process is presented by employing the design science research (DSR) methodology. The project starts with the analysis of the previous production concept, determining possible problems and improvements, as well as setting objectives/requirements for a possible new concept/equipment. This information was used to develop a new automated Bowden cable production equipment, implementing several changes to the old concept and filling a gap in the literature in this field. The developed system was implemented and tested. A considerable reduction in cycle time was registered by 25%, which resulted in an increase of 30% in process productivity. Full article

(This article belongs to the Special Issue 10th Anniversary of Machines—Feature Papers in Advanced Manufacturing)

► Show Figures

Figure 1

Review

Jump to: Research

33 pages, 5641 KiB

Open AccessReview

A Review of Electrode Manufacturing Methods for Electrical Discharge Machining: Current Status and Future Perspectives for Surface Alloying

by Elhuseini Garba, Ahmad Majdi Abdul-Rani, Nurul Azhani Yunus, Abdul Azeez Abdu Aliyu, Iqtidar Ahmed Gul, Md Al-Amin and Ruwaida Aliyu

Machines 2023, 11(9), 906; https://doi.org/10.3390/machines11090906 - 12 Sep 2023

Cited by 7 | Viewed by 4486

Abstract

In electrical discharge machining (EDM), the tool electrode is one of the substantial components of the system, and it ensures the success or failure of the EDM process. The electrode’s role is to conduct electrical charges and erode the workpiece to the desired shape. Different electrode materials have different impacts on machining. Certain electrode materials remove metal quickly but wear out rapidly, while others degrade slowly but the material removal is too slow. The choice of the electrode has an influence on both the mechanical properties, such as metal removal rate (MRR), wear rate, surface finish, surface modification and machinability, and the electrical properties, such as sparking initiation, time lag, gap contamination and process stability. There are factors to consider when fabricating an electrode, which include the type of workpiece materials, the metallurgical alloying of the materials, the choice of fabrication techniques, the intended use of the electrode, and material cost. Considerable challenges in EDM electrode fabrication have been reported, which include excessive tool wear for green compact electrodes, high toughness for sintered electrodes, and poor rigidity for additively manufactured electrodes. To address these issues, researchers have explored different manufacturing methods, such as casting, conventional machining, electrodeposition, powder metallurgy and additive manufacturing. In this paper, the various techniques attempted and adopted in EDM electrode manufacturing are analyzed and discussed. This paper also sought to give insight into EDM, its various forms, the dielectric fluid’s properties, EDM electrode’s size and shape, the effects of the electrode on the EDM process, material removal, electrode wear, present technologies for electrode fabrication, and the limitations of these technologies. Finally, directions for future research are highlighted. Full article

(This article belongs to the Special Issue 10th Anniversary of Machines—Feature Papers in Advanced Manufacturing)

► Show Figures

Figure 1

20 pages, 2767 KiB

Open AccessReview

A Brief Review of Computational Product Design: A Brand Identity Approach

by Athanasios Manavis, Konstantinos Kakoulis and Panagiotis Kyratsis

Machines 2023, 11(2), 232; https://doi.org/10.3390/machines11020232 - 4 Feb 2023

Cited by 6 | Viewed by 4545

Abstract

On the way to designing customized products as one of the core activities of Industry 4.0, the strategy of computational design emerges as a unique design process due to its flexibility and simplicity. More specifically, the aforementioned strategy is concerned with the study of brand identity and its description in the development of commercial industrial products. The proposed design approach is focused on the study of branded product forms following computational design methodologies, i.e., employing textual or/and visual programming languages. The paper presents an overview of in-depth research studies which deal with the systematic way of creation, evolution, and transformation of industrial products with modern digital tools. Through the review, 100 studies have been analyzed over the last 15 years. The background of this research includes definitions from the specific four pillars of the modern theory of industrial design, e.g., product design, digital design, visual representation, and product identity. Furthermore, the current paper combines the use of computational design with specific parameters of visual brand elements in order to develop a methodological tool for the mass customization of industrial products. Moreover, the proposed framework offers a great deal of flexibility in both design and manufacturing, while many design alternatives could become available in a very short time. Finally, the impact of this paper is the correlation between computational design techniques and the theoretical background of brand identity principles (i.e., shapes, geometries, styles, textures, colors, and materials) for inspiring novel ideas among engineers, designers, and marketers. Full article

(This article belongs to the Special Issue 10th Anniversary of Machines—Feature Papers in Advanced Manufacturing)

► Show Figures

Journal Menu

Journal Browser

10th Anniversary of Machines—Feature Papers in Advanced Manufacturing

Share This Special Issue

Special Issue Editors

Special Issue Information

Keywords

Benefits of Publishing in a Special Issue

Published Papers (12 papers)

Research

Review

Further Information

Guidelines

MDPI Initiatives

Follow MDPI