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Optimization of cutting parameters in manufacturing of polymeric materials for flexible two-phase thermal management systems

  • Oguzhan Der

    Oguzhan Der received his PhD degree in Advanced Manufacturing Technologies from the University of Liverpool, United Kingdom, in 2020. He is an Assistant Professor in the Department of Marine Vehicles Management Engineering at the Maritime Faculty of Bandırma Onyedi Eylül University. His current research interests include advanced manufacturing systems and optimization technologies.

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    , Muhammed Ordu

    Muhammed Ordu is currently an Assist. Prof. Dr. in the Department of Industrial Engineering at Osmaniye Korkut Ata University in Turkey. He received B.Sc. and M.Sc. degrees in Industrial Engineering from Pamukkale University (Turkey) and Erciyes University (Turkey), in 2009 and 2013, respectively. He completed Ph.D. degree in Applied Statistics and Operational Research in the University of Hertfordshire (United Kingdom), in 2019. His research interests are simulation, systems dynamics, optimization and multi criteria decision making.

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    and Gokhan Basar

    Gokhan Basar is working at Osmaniye Korkut Ata University, Faculty of Engineering and Natural Sciences, Turkey. He obtained his PhD degree from the Department of Mechanical Engineering, Osmaniye Korkut Ata University, Turkey in 2023. His research areas include friction stir welding, machinability of materials, composite materials, optimization, multi-criteria decision making.

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Published/Copyright: August 9, 2024
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Abstract

This research study with an extensive literature review represents a comprehensive multi-criteria analysis for optimizing the cutting parameters in the manufacturing of flexible two-phase passive thermal management systems (FTP-TMS) using thermoplastic materials. Recognizing the critical role of thermoplastics in FTP-TMS due to their inherent flexibility and lightweight properties, this research focuses on the precision cutting of polypropylene, polyethylene, and polyvinyl chloride using CO2 laser technology. The study is structured into three distinct phases. Initially, an experimental setup was conducted to cut 2 mm thick thermoplastic materials with varying power and cutting speed parameters. Subsequently, the SWARA method was employed to weight the criteria, followed by the application of seven different multi-criteria decision-making (MCDM) methods for optimization. The final phase involved a detailed analysis of the outputs, including ranking, correlation, and sensitivity analyses. The findings indicate that cutting polypropylene with a 90 W power setting and a speed of 15 mm s−1 yields the most optimal results. This study fills a significant gap in the existing literature by providing a dedicated analysis for thermoplastics in FTP-TMS manufacturing. The insights gained are pivotal for standardizing manufacturing practices and enhancing the design and fabrication of flexible thermal management solutions, offering substantial benefits to sectors like electronics, aerospace, and automotive industries.


Corresponding author: Oguzhan Der, Department of Marine Vehicles Management Engineering , Faculty of Maritime, Bandirma Onyedi Eylul University, Bandirma, 10200, Türkiye, E-mail:

Funding source: Osmaniye Korkut Ata University Scientific Research Projects Coordination Unit

Award Identifier / Grant number: OKUBAP-2022-PT1-003

About the authors

Oguzhan Der

Oguzhan Der received his PhD degree in Advanced Manufacturing Technologies from the University of Liverpool, United Kingdom, in 2020. He is an Assistant Professor in the Department of Marine Vehicles Management Engineering at the Maritime Faculty of Bandırma Onyedi Eylül University. His current research interests include advanced manufacturing systems and optimization technologies.

Muhammed Ordu

Muhammed Ordu is currently an Assist. Prof. Dr. in the Department of Industrial Engineering at Osmaniye Korkut Ata University in Turkey. He received B.Sc. and M.Sc. degrees in Industrial Engineering from Pamukkale University (Turkey) and Erciyes University (Turkey), in 2009 and 2013, respectively. He completed Ph.D. degree in Applied Statistics and Operational Research in the University of Hertfordshire (United Kingdom), in 2019. His research interests are simulation, systems dynamics, optimization and multi criteria decision making.

Gokhan Basar

Gokhan Basar is working at Osmaniye Korkut Ata University, Faculty of Engineering and Natural Sciences, Turkey. He obtained his PhD degree from the Department of Mechanical Engineering, Osmaniye Korkut Ata University, Turkey in 2023. His research areas include friction stir welding, machinability of materials, composite materials, optimization, multi-criteria decision making.

  1. Research ethics: Not applicable.

  2. Author contributions: The authors have accepted responsibility for the entire content of this manuscript and approved its submission. All authors participated in the experiments, collaborated on writing the manuscript, took responsibility for the content, and approved the manuscript for submission.

  3. Competing interests: The authors state no conflict of interest.

  4. Research funding: This work has been supported by Osmaniye Korkut Ata University Scientific Research Projects Coordination Unit under grant number #OKUBAP-2022-PT1-003.

  5. Data availability: The raw data can be obtained on request from the corresponding author.

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Published Online: 2024-08-09
Published in Print: 2024-10-28

© 2024 Walter de Gruyter GmbH, Berlin/Boston

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