Special issue on machining systems and signal processing: advancing machining processes through algorithms, sensors and devices

Urbikain, Gorka and Olvera-Trejo, Daniel and Budak, Erhan and Wan, Min (2023) Special issue on machining systems and signal processing: advancing machining processes through algorithms, sensors and devices. [Volumes Edited / Special Issues]

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Abstract

Emerging technologies enable the development of new materials and novel industrial applications. However, metal cutting and machining remain at the core of the challenge when looking for parts with superior properties that lead to more complex geometries, tooling and fixtures for the machining process. Machine tool builders, suppliers of tools and clamping systems are looking for new more adaptable solutions. On the other hand, the scientific community needs to reduce the gap between mechanical models and their usability in real practice. So, this special issue is focused on works dealing with either of the latter two aspects: 1) new knowledge regarding mechanical systems related to machining (models & theories); 2) experimental studies based on the design, development and validation of devices/actuators/instrumentation for monitoring and controlling of machining systems (including algorithms for monitoring machining processes); 3) hybrid solutions i.e. models feed on signal acquisition and processing.
Item Type: Volumes Edited / Special Issues
Additional Information: Scopus EID: 2-s2.0-85135102676
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Mechatronics
Faculty of Engineering and Natural Sciences > Academic programs > Manufacturing Systems Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Erhan Budak
Date Deposited: 02 Oct 2022 19:54
Last Modified: 02 Oct 2022 19:54
URI: https://research.sabanciuniv.edu/id/eprint/44801

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