Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
4.4
2.9
Journals
Metals
Special Issues
Machinability Analysis and Modeling of Metal Cutting
share announcement

Machinability Analysis and Modeling of Metal Cutting

A special issue of Metals (ISSN 2075-4701). This special issue belongs to the section "Structural Integrity of Metals".

Deadline for manuscript submissions: 31 July 2024 | Viewed by 1097

Special Issue Editor

Prof. Dr. Lida Zhu

E-Mail Website
Guest Editor
School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110819, China
Interests: machining stability and precision machining technology; hybrid robot and rehabilitation robot; intelligent diagnosis and signal processing; ultrasonic vibration machining; 3D printing; additive and subtractive hybrid manufacturing

Special Issue Information

Dear Colleagues,

With the rapid development of various types of high-end equipment, new requirements have been put forward for the efficient and high-precision manufacturing of key structural components; however, such structural components have the characteristics of high strength and high hardness and increase the difficulty of machining and shaping at the same time. This Special Issue is mainly oriented to the research of machining analysis and machining technology, including but not limited to the high-quality and high-efficiency machining of difficult-to-machine materials, in order to improve the component machining accuracy, surface quality, fatigue life, and machining efficiency for machining process analysis and detection, cutting and special machining technology, machine tools and tool technology, metal surface technology and other areas of research. Due to the multidisciplinary nature of machining analysis, research based on analysis technologies such as deep learning and visual fusion is also encouraged, as is research on micro-scale cutting technology and material technology. These research results will be conducive to improving the reliability and performance of high-end equipment, as well as the high-quality and high-efficiency forming of difficult-to-machine materials. Articles on the above research directions are welcome, and this is an excellent opportunity for metal cutting scientists and engineers around the world to share their latest research results. This Special Issue will cover, but is not limited to, the following basic and applied research topics:

  • Difficult-to-machine materials;
  • Titanium alloys;
  • High-strength steels;
  • Stainless steels;
  • High-speed cutting;
  • Cutting simulation;
  • Machining accuracy;
  • Surface quality;
  • Ultrasonic-assisted cutting;
  • Non-traditional machining;
  • Nano/micro/meso-cutting;
  • Milling;
  • Turning;
  • Drilling;
  • Grinding;
  • Optimization of machining trajectory;
  • Advanced cutting tools;
  • Cutting tool design;
  • Material modification;
  • Deep learning;
  • Online monitoring.

Prof. Dr. Lida Zhu
Guest Editor

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

  • component machining accuracy
  • surface quality
  • fatigue life
  • machining efficiency
  • machining process analysis and detection
  • cutting and special machining technology
  • machine tools and tool technology
  • metal surface technology

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

18 pages, 5000 KiB  
Article
Improving Maraging Steel 350 Machinability via Wiper Insert-Enhanced Face Milling
by Adel T. Abbas, Mohamed O. Helmy, Khalid F. Alqosaibi, Shahid Parvez, Ali S. Hasan and Ahmed Elkaseer
Metals 2024, 14(5), 514; https://doi.org/10.3390/met14050514 (registering DOI) - 28 Apr 2024
Viewed by 174
Abstract
Despite the prevalent application of 18% Ni maraging steel in critical sectors such as aerospace and automotive due to its unique characteristics, including high ductility, yield strength, and hardenability, its machining presents enormous challenges, categorizing it as a difficult-to-machine material. The cutting tool’s [...] Read more.
Despite the prevalent application of 18% Ni maraging steel in critical sectors such as aerospace and automotive due to its unique characteristics, including high ductility, yield strength, and hardenability, its machining presents enormous challenges, categorizing it as a difficult-to-machine material. The cutting tool’s geometry is crucial in machining, significantly affecting chip formation, cutting forces, power consumption, and obtainable surface quality. In particular, wiper insert technology, characterized by its multi-radius design, offers an increased contact area compared to conventional inserts, potentially enhancing the quality of the machined surface. This study explores the effectiveness of wiper inserts in the face-milling of maraging steel 350, conducting a comparative analysis across three distinct machining setups. These setups vary by alternating the number of wiper and conventional inserts within the same cutter, thereby examining the influence of insert configuration on machining outcomes. The research employs a reliable and well-established statistical approach to evaluate how different variables, such as cutting speed and feed rate, affect surface quality, power consumption, and material removal rate (MRR). It also sheds light on the material removal mechanisms facilitated by each type of insert. The findings reveal that incorporating a higher number of wiper inserts significantly enhances the surface finish but concurrently increases power consumption. Thus, the study successfully identifies an optimal set of process parameters that attain a balance between achieving superior surface quality and maintaining energy efficiency in the machining of maraging steel 350. This balance is crucial for optimizing manufacturing processes while adhering to the stringent quality and sustainability standards required in aerospace and automotive manufacturing. Full article
(This article belongs to the Special Issue Machinability Analysis and Modeling of Metal Cutting)
►▼ Show Figures

Figure 1

19 pages, 2201 KiB  
Article
Optimization of Multiple Performance Characteristics for CNC Turning of Inconel 718 Using Taguchi–Grey Relational Approach and Analysis of Variance
by Fatlume Zhujani, Fitore Abdullahu, Georgi Todorov and Konstantin Kamberov
Metals 2024, 14(2), 186; https://doi.org/10.3390/met14020186 - 02 Feb 2024
Viewed by 725
Abstract
The optimization of machining processes is a deciding factor when increasing productivity and ensuring product quality. The response characteristics, such as surface roughness, material removal rate, tool wear, and cutting time, of the finish turning process have been simultaneously optimized. We used the [...] Read more.
The optimization of machining processes is a deciding factor when increasing productivity and ensuring product quality. The response characteristics, such as surface roughness, material removal rate, tool wear, and cutting time, of the finish turning process have been simultaneously optimized. We used the Taguchi-based design of experiments L9(34) in this study to test and find the best values for process parameters like cutting speed, feed rate, depth of cut, and nose radius. The Taguchi-based multi-objective grey relational approach (GRA) method was used to address the turning problem of Inconel 718 alloy to increase productivity, i.e., by simultaneously minimizing surface roughness, tool wear, and machining time. GRA and the S/N ratio derived from the Taguchi approach were utilized to combine many response characteristics into a single response. The grey relational grade (GRG) produces results such as estimations of the optimal level of input parameters and their proportional significance to specific quality characteristics. By employing ANOVA, the significance of parameters with respect to individual responsibility and the overall quality characteristics of the cutting process were ascertained. The single-objective optimization yielded the following results: minimal surface roughness of 0.167 µm, tool wear of 44.65 µm, minimum cutting time of 19.72 s, and maximum material speed of 4550 mm3/min. While simultaneously optimizing the Inconel 718 superalloy at a cutting speed of 100 m/min, depth of cut of 0.4 mm, feed rate of 0.051 mm/rev, and tool nose radius of 0.4 mm, the results of the multi-objective optimization showed that all investigated response characteristics reached their optimal values (minimum/maximum). To validate the results, confirmatory experiments with the most favorable outcomes were conducted and yielded a high degree of concurrence. Full article
(This article belongs to the Special Issue Machinability Analysis and Modeling of Metal Cutting)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop