RESEARCH AND REVIEW OF CLAY AND GLASS FIBER REINFORCED POLYESTER NANOCOMPOSITE MATERIALS USING OPTIMIZATION TECHNIQUES

P. Prabhu, M. Siva Kumar (), S. Mohamed Iqbal (), A. Balaji () and B. Karthikeyan ()
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P. Prabhu: Department of Mechanical Engineering, Sriram Engineering College, Chennai 602024, Tamil Nadu, India
M. Siva Kumar: ��Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, Tamil Nadu, India
S. Mohamed Iqbal: ��Department of Mechanical Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, Tamil Nadu, India
A. Balaji: ��Department of Mechanical Engineering, A. V. C. College of Engineering, Mayiladuthurai 609305, Tamil Nadu, India
B. Karthikeyan: �Department of Mechanical Engineering, Faculty of Engineering and Technology, Annamalai University, Annamalai Nagar, Chidambaram 608002, Tamil Nadu, India

Surface Review and Letters (SRL), 2022, vol. 29, issue 01, 1-22

Abstract: Drilling process plays a vital role in the development of polymer clay nanocomposites. The effects of various parameters, such as tool, feed rate and speed to generate the impact on tangential force, thrust force and delamination factor acting on the material in production are studied during drilling operations in the aerospace and automotive industries. The input variable settings to adjust the speed and feed rate to show the outcomes of tangential force, thrust force and delamination factor of the material according to the consumption of the parts in the next stage of manufacturing are calculated by efficient feed rate optimization. A series of tests are performed by changing tools such as High speed steel (HSS), end mill (HEM), High speed steel (HSS), twist drill (HTD) and carbide twist drill (CTD) on various materials to evaluate the influence on the feed rate and speed. Based on the experimental analysis, mathematical modeling is implemented to study the properties of glass fiber reinforced polyester nanocomposite (GFRPNC; 3wt.%). Using the desirability approach, the optimum operating conditions of the selected process variables are considered to minimize delamination. A full factorial experiment design is adopted using the two fundamental concepts of replication and randomization of experimental design to research the relationship between the variables. Based on the analysis of variance (ANOVA), the process model is formulated using the Minitab® statistical kit. It is inferred that the delamination factor is minimal for all tools (CTD, HTD and HEM) at 0.1mm/rev feed rate and speed at 852rpm.

Keywords: ANOVA; design of experiments; full factorial design; drilling; thrust force; delamination factor (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S0218625X22500147

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