Machines and Applications—New Results from a Worldwide Perspective

A special issue of Machines (ISSN 2075-1702).

Deadline for manuscript submissions: 15 November 2026 | Viewed by 537

Special Issue Editor


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Guest Editor
CISE—Electromechatronic Systems Research Centre, University of Beira Interior, Calçada Fonte do Lameiro, P-6201-001 Covilhã, Portugal
Interests: diagnosis and fault tolerance of electrical machines, power electronics and drives
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Special Issue Information

Dear Colleagues,

This Special Issue will comprise extended versions of proceedings papers from the 3rd International Electronic Conference on Machines and Applications (IECMA 2026), which will be held online from 12 to 14 May 2026, on sciforum.net (https://sciforum.net/event/IECMA2026?subscribe&section=#welcome).

Non-conference articles are also welcome to be submitted to this Special Issue if they address the following topics:

  1. Automation and Control Systems;
  2. Condition Monitoring and Fault Diagnosis;
  3. Machine Design and Additive Manufacturing;
  4. Electrical Machines and Drives;
  5. Electromechanical Energy-Conversion Systems;
  6. Mechatronics/Electromechatronics.

Prof. Dr. Antonio J. Marques Cardoso
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 250 words) can be sent to the Editorial Office for assessment.

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

  • transportation
  • renewable energies
  • more efficient buildings
  • efficiency and reliability
  • automation and control
  • advanced manufacturing

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Published Papers (1 paper)

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Research

20 pages, 7938 KB  
Article
Combination of Finite Element Spindle Model with Drive-Based Cutting Force Estimation for Assessing Spindle Bearing Load of Machine Tools
by Chris Schöberlein, Daniel Klíč, Michal Holub, Holger Schlegel and Martin Dix
Machines 2025, 13(12), 1138; https://doi.org/10.3390/machines13121138 - 12 Dec 2025
Viewed by 144
Abstract
Monitoring spindle bearing load is essential for ensuring machining accuracy, reliability, and predictive maintenance in machine tools. This paper presents an approach that combines drive-based cutting force estimation with a finite element method (FEM) spindle model. The drive-based method reconstructs process forces from [...] Read more.
Monitoring spindle bearing load is essential for ensuring machining accuracy, reliability, and predictive maintenance in machine tools. This paper presents an approach that combines drive-based cutting force estimation with a finite element method (FEM) spindle model. The drive-based method reconstructs process forces from the motor torque signal of the feed axes by modeling and compensating motion-related torque components, including static friction, acceleration, gravitation, standstill, and periodic disturbances. The inverse mechanical and control transfer behavior is also considered. Input signals include the actual motor torque, axis position, and position setpoint, recorded by the control system’s internal measurement function at the interpolator clock rate. Cutting forces are then calculated in MATLAB/Simulink and used as inputs for the FEM spindle model. Rolling elements are replaced by bushing joints with stiffness derived from datasheets and adjusted through experiments. Force estimation was validated on a DMC 850 V machining center using a standardized test workpiece, with results compared against a dynamometer. The spindle model was validated separately on a MCV 754 Quick machine under static loading. The combined approach produced consistent results and identified the front bearing as the most critically loaded. The method enables practical spindle bearing load estimation without external sensors, lowering system complexity and cost. Full article
(This article belongs to the Special Issue Machines and Applications—New Results from a Worldwide Perspective)
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