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Optimization of drilling process parameters of sisal/cork-reinforced epoxy biosandwich structure by multi-objective RSM and hybrid ANN-GA models

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Abstract

The use of cutting tools for material removal operations is commonplace in the production of biocomposite materials. However, the inability of electro-erosion to be applied to non-conductive biocomposites has led to the need for alternative methods. In this regard, the use of abrasive waterjet and conventional machining techniques such as drilling have emerged as viable options. This research seeks to explore and evaluate the effectiveness of these conventional methods for machining biocomposites, highlighting their significance in the development of efficient manufacturing processes for biocomposite materials. In actual applications, the delamination factor (Fd) is frequently employed to control drilling-related damage. This can be accomplished by carefully choosing the ideal process parameters. Feed rate (f), spindle speed (N), and drill diameter (d) are the three most significant variables affecting the drilling quality. A combination of artificial neural network with genetic algorithm (ANN-GA) and multi-objective response surface methodology (RSM) was used in this experiment to identify the best machining equipment for the hybrid sisal/cork biosandwich. This study’s major goal was to lower the Fd of an HSS-Co twist drill that was built using various drilling settings. The study’s findings showed that the HSS-Co tool with a 7-mm diameter, 2500-rpm spindle speed, and 50-mm/min feed rate was more successful in reaching a minimum delamination of 1.054.

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Acknowledgements

The authors are thankful to Deanship of Scientific Research and under the supervision of the Scientific and Engineering Research Centre at Najran University for funding this work under the Research centers Funding program grant code (NU/RCP/SERC/12/10).

Funding

This project was funded by the Deanship of Scientific Research and under the supervision of the Scientific and Engineering Research Centre at Najran University grant code (NU/RCP/SERC/12/10).

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Authors and Affiliations

  1. Département de Génie Mécanique, Faculté de Technologie, Université 20 Août 1955-Skikda, El-Hadaiek Skikda, Algeria

    Ahmed Belaadi

  2. Laboratoire LGCH, Université 8 Mai 1945 Guelma, BP 401, 24000, Guelma, Algeria

    Messaouda Boumaaza

  3. Department of Mechanical Engineering, College of Engineering, Najran University, Najran, Saudi Arabia

    Hassan Alshahrani & Mohammad K. A. Khan

  4. Scientific and Engineering Research Centre, Deanship of Scientific Research, Najran University, Najran, Saudi Arabia

    Hassan Alshahrani & Mohammad K. A. Khan

  5. Aerospace Engineering Department, King Abdulaziz University, Jeddah, Saudi Arabia

    Mostefa Bourchak

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Contributions

Ahmed Belaadi: conceptualization, investigation, methodology, supervision, writing, review, and editing.

Messaouda Boumaaza: conceptualization, investigation, writing—review and editing.

Hassan Alshahrani: investigation, writing—review and editing.

Mohammad K. A. Khan: investigation, writing—review and editing.

Mostefa Bourchak: investigation, writing—review and editing.

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Correspondence to Ahmed Belaadi.

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Belaadi, A., Boumaaza, M., Alshahrani, H. et al. Optimization of drilling process parameters of sisal/cork-reinforced epoxy biosandwich structure by multi-objective RSM and hybrid ANN-GA models. Int J Adv Manuf Technol 127, 4271–4289 (2023). https://doi.org/10.1007/s00170-023-11791-6

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