Dynamics and Machining Stability for Flexible Systems

A special issue of Journal of Manufacturing and Materials Processing (ISSN 2504-4494).

Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 1674

Special Issue Editors


E-Mail Website
Guest Editor
Department of Mechanical, Aerospace and Civil Engineering, School of Engineering, Faculty of Science and Engineering, The University of Manchester, Manchester M13 9PL, UK
Interests: machining dynamics; chatter stability; mechanical vibrations; process control; intelligent tooling; metal cutting

E-Mail Website
Guest Editor
School of Mechanical Science & Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: multi-axis intelligent CNC machining; robot precision measurement; surface quality control
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Machine Tool Dynamics Laboratory, Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur 208016, India
Interests: modal analysis; machining; vibration control; machining stability

Special Issue Information

Dear Colleagues,

Multi-axis milling, turning, and grinding of thin-walled structures using flexible machining systems such as slender tools and flexible robotic arms integrated with spindles have many inherent challenges due to vibrations and chatter as well as dimensional errors. Recent innovations in tooling, AI-assisted approaches, and process modelling promise near optimal cutting performance by minimizing vibrations and compensating for errors.

In this JMMP Special Issue, we invite submissions related but not limited to the following topics:

-  Modelling, simulation, or digital twinning solutions of machine tool vibrations and chatter stability with flexible machining systems such as thin-walled milling, shell turning, and robotic machining;

- System identification, modal analysis, or process monitoring of flexible systems;

-  Chatter avoidance in flexible machining systems through active and passive damping solutions, tool geometry design, or path planning strategies;

- Active control in compliant grinding such as robotic polishing;

- Use of Artificial Intelligence and Machine Learning in vibration prediction and control;

- Nonlinearities in flexible machining systems;

- Special challenging processes such as turn-milling, vibration-assisted machining, or micro-machining;

- Challenges associated with the machining of additively manufactured components.

Dr. Zekai Murat Kilic
Prof. Dr. Jixiang Yang
Dr. Mohit Law
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. Journal of Manufacturing and Materials Processing 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 1800 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

  • digital twin
  • chatter stability
  • thin-walled machining
  • flexible machining systems
  • robotic machining
  • chatter avoidance
  • artificial intelligence
  • machine learning
  • compliant grinding
  • polishing
  • system identification
  • process monitoring

Published Papers (1 paper)

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

Research

16 pages, 1316 KiB  
Article
Stability of Micro-Milling Tool Considering Tool Breakage
by Yuan-Yuan Ren, Bao-Guo Jia, Min Wan and Hui Tian
J. Manuf. Mater. Process. 2024, 8(3), 122; https://doi.org/10.3390/jmmp8030122 - 11 Jun 2024
Viewed by 737
Abstract
Micro-milling, widely employed across various fields, faces significant challenges due to the small diameter and limited stiffness of its tools, making the process highly susceptible to cutting chatter and premature tool breakage. Ensuring stable and safe cutting processes necessitates the prediction of chatter [...] Read more.
Micro-milling, widely employed across various fields, faces significant challenges due to the small diameter and limited stiffness of its tools, making the process highly susceptible to cutting chatter and premature tool breakage. Ensuring stable and safe cutting processes necessitates the prediction of chatter by considering the tool breakage. Crucially, the modal parameters of the spindle–holder–tool system are important prerequisites for such stability prediction. In this paper, the frequency response functions (FRFs) of the micro-milling tool are calculated by direct FRFs of the micro-milling cutter and cross FRFs between a point on the shank and one on the tool tip. Additionally, by utilizing a cutting force model specific to micro-milling, the bending stress experienced by the tool is computed, and the tool breakage curve is subsequently determined based on the material’s permissible maximum allowable stress. The FRFs of the micro-milling tool, alongside the tool breakage curve, are then integrated to generate the final stability lobe diagrams (SLDs). The effectiveness and reliability of the proposed methodology are confirmed through a comprehensive series of numerical and experimental validations. Full article
(This article belongs to the Special Issue Dynamics and Machining Stability for Flexible Systems)
Show Figures

Figure 1

Back to TopTop