28
Feb
2021
Paper Submission Deadline
30
Dec
2021
Publishing Date

Add to Calendar 02/28/2021 08:00 Europe/Rome Accuracy Improvements in Machine Tools and Machining

In recent years, the demand for accurate machining and precise assembly of components in a way that makes it possible to locate and align them together in a much closer proximity has grown significantly. The demands put forward by recent innovations in the fields of nano-, micro-, and ultra-precision machining create a need for the development of novel methods for identification and correction of errors influencing machining, selection of optimal manufacturing parameters, and calibration and verification of machine tools. All of that is in order to push forward the machining capabilities, which in turn may bring very positive long-term effects, including reduction of friction in powertrain solutions leading to a decrease in emission of pollution, reduction of energy consumption, reduction of the amount of machining allowances, and reduction of time, costs, and energy expenditure for the purposes of mechanical processing. In this Special Issue of JMMP, we are looking for recent findings, which focus on accuracy improvements in machine tools and machining. We invite contributions on topics including but not limited to the following areas: Identification and compensation of machine tool errors; Selection of optimal machining parameters; Metrology systems integrated in manufacturing tools and lines; Optical metrology in manufacturing (vision-based measurement systems, fringe optics, laser triangulation, etc.); Machine tool performance; Calibration and verification of machine tools; Artefacts for machine verification; Uncertainty estimation; System accuracy modeling.
Keywords: machine tool; correction systems; inspection; verification; calibration; error identification; uncertainty estimation.

Switzerland
CALL FOR PAPERS
Code: CFP-JM&MP109-SI4-2021
Posting date: 07/11/2020

Accuracy Improvements in Machine Tools and Machining


Aims and Scope

In recent years, the demand for accurate machining and precise assembly of components in a way that makes it possible to locate and align them together in a much closer proximity has grown significantly. The demands put forward by recent innovations in the fields of nano-, micro-, and ultra-precision machining create a need for the development of novel methods for identification and correction of errors influencing machining, selection of optimal manufacturing parameters, and calibration and verification of machine tools. All of that is in order to push forward the machining capabilities, which in turn may bring very positive long-term effects, including reduction of friction in powertrain solutions leading to a decrease in emission of pollution, reduction of energy consumption, reduction of the amount of machining allowances, and reduction of time, costs, and energy expenditure for the purposes of mechanical processing. In this Special Issue of JMMP, we are looking for recent findings, which focus on accuracy improvements in machine tools and machining. We invite contributions on topics including but not limited to the following areas: Identification and compensation of machine tool errors; Selection of optimal machining parameters; Metrology systems integrated in manufacturing tools and lines; Optical metrology in manufacturing (vision-based measurement systems, fringe optics, laser triangulation, etc.); Machine tool performance; Calibration and verification of machine tools; Artefacts for machine verification; Uncertainty estimation; System accuracy modeling.
Keywords: machine tool; correction systems; inspection; verification; calibration; error identification; uncertainty estimation.

Languages
English
Country
Switzerland
Topics
Data Analysis Processes, Data Sensing and Analysis, Decision Support Systems, Energy Efficiency, Energy Savings, Environmental Pollution, Future Developments, Manufacturing & Machinery, Manufacturing Process, Manufacturing Systems, Methodology, Methods for Diagnostics, Performance Evaluation, Performance-based Design, Process Management, Process Modeling and Simulation, Tools
Review process
The Journal adopts double-blind peer review process
Indexed By

Chemical Abstracts (ACS), DOAJ, Emerging Sources Citation Index-Web of Science (Clarivate Analytics), Inspec (IET), Norwegian Register for Scientific Journals, Series and Publishers (NSD), Scopus (Elsevier), Web of Science (Clarivate Analytics), CLOCKSS (Digital Archive), e-Helvetica (Swiss National Library Digital Archive), Academic OneFile (Gale/Cengage Learning), EBSCOhost (EBSCO Publishing), Google Scholar, J-Gate (Informatics India), ProQuest Central (ProQuest), Science In Context (Gale/Cengage Learning).

APC

Info at: www.mdpi.com/journal/jmmp/apc

Submit by website
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Additional Notice from the Editor

Guest Editors
Prof. Dr. Adam Gąska
Prof. Dr. Ksenia Ostrowska