Predictive modeling and machining performance optimization during drilling of polymer nanocomposites reinforced by graphene oxide/carbon fiber

• Autorzy: Kumar Jogendra , Verma Rajesh Kumar , Mondal Arpan Kumar

Identyfikatory

DOI

10.24425/ame.2020.131692

• Języki publikacji: EN

Abstrakty

EN

This paper explores the parametric appraisal and machining performance optimization during drilling of polymer nanocomposites reinforced by graphene oxide/-carbon fiber. The consequences of drilling parameters like cutting velocity, feed, and weight % of graphene oxide on machining responses, namely surface roughness, thrust force, torque, delamination (In/Out) has been investigated. An integrated approach of a Combined Quality Loss concept, Weighted Principal Component Analysis (WPCA), and Taguchi theory is proposed for the evaluation of drilling efficiency. Response surface methodology was employed for drilling of samples using the titanium aluminum nitride tool. WPCA is used for aggregation of multi-response into a single objective function. Analysis of variance reveals that cutting velocity is the most influential factor trailed by feed and weight % of graphene oxide. The proposed approach predicts the outcomes of the developed model for an optimal set of parameters. It has been validated by a confirmatory test, which shows a satisfactory agreement with the actual data. The lower feed plays a vital role in surface finishing. At lower feed, the development of the defect and cracks are found less with an improved surface finish. The proposed module demonstrates the feasibility of controlling quality and productivity factors.

Słowa kluczowe

EN

surface roughness; RSM; thrust force; optimization; graphene

PL

chropowatość powierzchni; RSM; siła napędu; optymalizacja; grafen

• Wydawca: Komitet Budowy Maszyn PAN
• Czasopismo: Archive of Mechanical Engineering
• Rocznik: 2020
• Tom: LXVII, nr 2
• Strony: 229--258
• Opis fizyczny: Bibliogr. 66 poz., rys., tab., wykr.

Twórcy

autor

Kumar Jogendra

• Department of Mechanical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

autor

Verma Rajesh Kumar

• Department of Mechanical Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, India.

autor

Mondal Arpan Kumar

• Department of Mechanical Engineering, National Institute of Technical Teachers Training and Research, Kolkata, India.

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).