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Metals
Special Issues
Emerging Trends in Metal Machining and Processes
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Emerging Trends in Metal Machining and Processes

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

Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 4559

Special Issue Editors

Prof. Dr. Rangappa Suresh

E-Mail Website
Guest Editor
Department of Mechanical and Manufacturing Engineering, M. S. Ramaiah University of Applied Sciences, Bengaluru, India
Interests: machining; hard materials; difficult to cut materials; metal–matrix composite; additive manufacturing; surface topography; modeling and optimization
Dr. Satish Kumar

E-Mail Website
Guest Editor
Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune 412115, Maharashtra, India
Interests: smart manufacturing; cryotreatment; machining; Industry 4.0; digital twin; predictive maintenance; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Metal machining technologies have seen great demand in manufacturing industries such as automotive, aircraft, and machine tool industries due to their high production rate, improved quality, and accurate solutions. Through the continuous development in advanced metallic materials, cutting tools, the cutting environment, and advanced processing techniques and process control have led to the increased applications of metal machining technologies. Characterization studies on the effect of process parameters, tool grade, and tool geometry and its effect on machinability of metals, such as cutting forces, surface topography, chip formation, residual stress distribution, and tool wear, have helped toward the development of new products and solutions for real-time machining problems. Additionally, advanced testing, measurement facilities, scientific methods, and modeling approaches have introduced numerous benefits to manufacturers. Moreover, traditional, non-traditional, and hybrid machining processes offer several advantages, such as the elimination of finishing operations, decreased work-piece distortion, reduction in lead times, and increased flexibility and reliability. Considering these aspects, research in the machining of metallic materials and process control, as well as progress in scientific methods and approaches, introduces novel practices and remains of significant interest.

This Special Issue kindly invites researchers from the aforementioned fields to present new theoretical or experimental results and recent advancements in the form of research articles and reviews.

Prof. Dr. Rangappa Suresh
Dr. Satish Kumar
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

  • traditional/non-traditional machining
  • micro-machining
  • cutting environments
  • finishing processes
  • advanced tools for process
  • machinability characteristics
  • surface integrity
  • numerical modeling and simulation
  • modeling and optimization
  • intelligent machining and process control
  • minimum quality lubrication in machining
  • role of AI/ML in machining

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Published Papers (2 papers)

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Research

27 pages, 7917 KiB  
Article
Improvement of Analytical Model for Oblique Cutting—Part I: Identification of Mechanical Characteristics of Machined Material
by Michael Storchak and Maria A. Lekveishvili
Metals 2023, 13(10), 1750; https://doi.org/10.3390/met13101750 - 15 Oct 2023
Cited by 4 | Viewed by 2256
Abstract
Analytical cutting models have recently become quite widespread due to the simplicity and rapidity of calculations as well as the stability of the solutions. This paper considers a procedure for determining the mechanical properties of machined material based on parameters for the analytical [...] Read more.
Analytical cutting models have recently become quite widespread due to the simplicity and rapidity of calculations as well as the stability of the solutions. This paper considers a procedure for determining the mechanical properties of machined material based on parameters for the analytical model of oblique cutting for a certain range of changes in cutting modes and inclination angles of the tool cutting edge. The model is based on the energy method of determining the main cutting process characteristics using the extreme assumptions of continuum mechanics. It is proposed to determine the parameters characterizing the mechanical properties of the processed material using the Johnson–Cook constitutive equation in two stages: preliminary determination of the constitutive equation parameters based on the results of mechanical compression specimen tests and experimental data of the oblique cutting process, and specifying the generalized values of the constitutive equation parameters using the inverse method through the finite element cutting model. The adequacy of the applied analytical cutting model is confirmed by comparing the kinetic characteristic values calculated using the analytical model of oblique cutting with the application of the specified parameters of the constitutive equation and the measured values of the kinetic characteristics. The deviation between the calculated and measured values of the cutting force components when changing the cutting depth (undeformed chip thickness) does not exceed 15%. The difference between the calculated and measured values of the cutting force components when the cutting speed is changed is about 20%. Full article
(This article belongs to the Special Issue Emerging Trends in Metal Machining and Processes)
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18 pages, 5253 KiB  
Article
Research on the Analysis and Prediction Model of Machining Parameters of Titanium Alloy by Abrasive Belt
by Hu Qiao, Sibo Hu, Ying Xiang, Shanshan Liu and Li Zhang
Metals 2023, 13(6), 1085; https://doi.org/10.3390/met13061085 - 8 Jun 2023
Cited by 2 | Viewed by 1497
Abstract
As a high-performance and difficult-to-machine material for the manufacture of blades, titanium alloys are increasingly being used in high-end manufacturing industries such as aerospace and aircraft. As engineering applications become more demanding, so do the requirements for precision. However, to date, the choice [...] Read more.
As a high-performance and difficult-to-machine material for the manufacture of blades, titanium alloys are increasingly being used in high-end manufacturing industries such as aerospace and aircraft. As engineering applications become more demanding, so do the requirements for precision. However, to date, the choice of blade grinding parameters is still mainly dependent on the traditional “trial cut” and “experience” method, making the processing efficiency low and the quality of processing difficult to be guaranteed. In order to achieve the requirements of high precision and low surface roughness of the workpiece, to get rid of the status quo of relying on manual decision-making, and to achieve reasonable prediction and control of surface quality, this paper proposes to establish a theoretical prediction model for surface roughness of titanium alloy by abrasive belt grinding, and to analyze the influence of the main process parameters on surface roughness during the grinding process through experiments. A theoretical prediction model for surface roughness was developed. The experimental results show that the model has certain accuracy and reliability, and can provide guidance for the high-precision prediction of the surface roughness of ground titanium alloy blades, which has strong practical significance in engineering. Full article
(This article belongs to the Special Issue Emerging Trends in Metal Machining and Processes)
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