Investigation of surface roughness and MRR in drilling of Al<sub>2</sub>O<sub>3</sub> particle and sisal fibre reinforced epoxy composites using TOPSIS based Taguchi method

Kamaraj, M.; Santhanakrishnan, R.; Muthu, E.

doi:10.1088/1757-899x/402/1/012095

Cited by 8 publications

(2 citation statements)

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“…While drilling PMMA, a high spindle speed produces the best results [24]. Surface smoothness gets better at drilling at high speeds [25]. A polymer composite with a high GNP concentration provides optimal drilling performance [26].…”

Section: Resultsmentioning

confidence: 99%

Machining of Polymethyl-methacrylate (PMMA) bone cement-based nanocomposite using Combined compromise solution (CoCoSo) theory

Vidyasagar

Kumar

Dubey

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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Polymethyl-methacrylate (PMMA) bone cement has become an effective biomaterial in orthopedic applications due to its outstanding biocompatibility and mechanical properties. A machining test is essential required while using PMMA bone cement nanocomposite in implant applications. Drilling on the prosthetic product is mainly needed when using PMMA to insert bolts for safety and fixation in the human body. The drilling on bone cement-based prostheses is the most often used machining method during bone-grafting and implant interface surgical procedures. Henceforth, this article focus on the relatively new Combined compromise solution (CoCoSo) theory to study the influence of varying process variables on the drilling performance of Graphene Nanoplatelets (GNP) infused PMMA bone cement nanocomposites. The control of process constraints, namely, GNP weight percentage (Wt.%), spindle speed (SPEED), and drill bit tool material (TOOL) such as HSS, Carbide, and TiAlN, is mainly done to achieve the desired value of Surface roughness (SR) and Material removal rate (MRR) during the drilling experimentation. Using the CoCoSo technique, the optimum setting was attained as Wt.% = 4, SPEED = 1428 rpm, and a Carbide drill bit tool. The synthesized sample was also subjected to an XRD examination to validate the appropriate infusion of nanomaterials in PMMA bone cement. The flexural analysis of the developed nanocomposite sample indicates that mechanical property improves significantly due to the supplement of GNP in PMMA. The findings of the proposed nanocomposites material show its feasibility in biomedical functions. Also, the drilling optimization results demonstrate new criteria to control the quality and productivity indices. It can be recommended for multicriteria optimization case studies.

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Section: Resultsmentioning

confidence: 99%

Machining of Polymethyl-methacrylate (PMMA) bone cement-based nanocomposite using Combined compromise solution (CoCoSo) theory

Vidyasagar

Kumar

Dubey

et al. 2022

IOP Conf. Ser.: Mater. Sci. Eng.

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“…Apart from the implementation of parametric optimization of machining parameters during metal cutting, fuzzy TOPSIS was effective in various areas such as multi-response optimization of blended polymer composites (Şimşek and Uygunoğlu, 2016), optimization of drilling parameters for Al2O3 particles and sisal fiber-reinforced epoxy composites (Kamaraj et al ., 2018), optimization of the input parameters such as pulse on time, duty cycle, discharge current, etc. in the electron discharge machining process (Roy and Dutta, 2019) and optimization of the machining parameters of metal matrix composites (Al–SiC-fly ash) (Tamiloli et al ., 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

Investigation of the effect of vibration in the multi-objective optimization of dry turning of hardened steel

Ahmed

Juberi

Bari

et al. 2023

IJIEOM

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PurposeThis study aims to investigate the effect of vibration on ceramic tools under dry cutting conditions and find the optimum cutting condition for the hardened steel machining process in a computer numerical control (CNC) lathe machine.Design/methodology/approachIn this research, an integrated fuzzy TOPSIS-based Taguchi L9 optimization model has been applied for the multi-objective optimization (MOO) of the hard-turning responses. Additionally, the effect of vibration on the ceramic tool wear was investigated using Analysis of Variance (ANOVA) and Fast Fourier Transform (FFT).FindingsThe optimum cutting conditions for the multi-objective responses were obtained at 98 m/min cutting speed, 0.1 mm/rev feed rate and 0.2 mm depth of cut. According to the ANOVA of the input cutting parameters with respect to response variables, feed rate has the most significant impact (53.79%) on the control of response variables. From the vibration analysis, the feed rate, with a contribution of 34.74%, was shown to be the most significant process parameter influencing excessive vibration and consequent tool wear.Research limitations/implicationsThe MOO of response parameters at the optimum cutting parameter settings can significantly improve productivity in the dry turning of hardened steel and control over the input process parameters during machining.Originality/valueMost studies on optimizing responses in dry hard-turning performed in CNC lathe machines are based on single-objective optimization. Additionally, the effect of vibration on the ceramic tool during MOO of hard-turning has not been studied yet.

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Parametric Optimization and Evaluation of RMDTM Welding Performance for ASTM A387 Grade 11 Steel Plates Using TOPSIS-Taguchi Approach

Dinbandhu

Abhishek

2021

Lecture Notes in Mechanical Engineering

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Investigation of surface roughness and MRR in drilling of Al₂O₃ particle and sisal fibre reinforced epoxy composites using TOPSIS based Taguchi method

Cited by 8 publications

References 10 publications

Machining of Polymethyl-methacrylate (PMMA) bone cement-based nanocomposite using Combined compromise solution (CoCoSo) theory

Machining of Polymethyl-methacrylate (PMMA) bone cement-based nanocomposite using Combined compromise solution (CoCoSo) theory

Investigation of the effect of vibration in the multi-objective optimization of dry turning of hardened steel

Parametric Optimization and Evaluation of RMDTM Welding Performance for ASTM A387 Grade 11 Steel Plates Using TOPSIS-Taguchi Approach

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Investigation of surface roughness and MRR in drilling of Al2O3 particle and sisal fibre reinforced epoxy composites using TOPSIS based Taguchi method

Cited by 8 publications

References 10 publications

Machining of Polymethyl-methacrylate (PMMA) bone cement-based nanocomposite using Combined compromise solution (CoCoSo) theory

Machining of Polymethyl-methacrylate (PMMA) bone cement-based nanocomposite using Combined compromise solution (CoCoSo) theory

Investigation of the effect of vibration in the multi-objective optimization of dry turning of hardened steel

Parametric Optimization and Evaluation of RMDTM Welding Performance for ASTM A387 Grade 11 Steel Plates Using TOPSIS-Taguchi Approach

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Investigation of surface roughness and MRR in drilling of Al₂O₃ particle and sisal fibre reinforced epoxy composites using TOPSIS based Taguchi method