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Machinability Analysis and Multiple Performance Optimization During Laser Micro-drilling of CNT Reinforced Polymer Nanocomposite

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Abstract

The present research focuses on presaging the optimal parametric data set (material removal rate (MRR), taper, and heat-affected zone (HAZ)) for laser micro-drilling of a new class of polymer composite consisting of carbon nanotube (CNT) and epoxy. Experiments are conducted according to Taguchi’s methodology with cutting speed, lamp current, air pressure, and pulse width as controllable parameters and their significance is assessed through ANOVA. Second-order nonlinear regression models integrating relationship between control parameters and output responses are developed for optimizing the process parameters. Optimum process parameters are evaluated to minimize taper and HAZ and maximize the MRR. These nonlinear regression equations are further utilized in accelerated particle swarm optimization (APSO) algorithm for single as well as multiple performance optimization. A confirmation test is carried out with the optimal parameter settings obtained from Taguchi’s methodology and APSO and improvement in performance parameter is noticed in each case. It is also observed that the APSO metaheuristic algorithm performs efficiently for optimizing the responses relating to the laser micro-drilling process of nano-composites both in individual and multi-objective optimization.

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Data Availability

The authors declare that the data supporting the findings of this study are available within the article.

Abbreviations

CNT:

Carbon Nanotube

MRR:

Material Removal Rate (g/20s)

HAZ:

Heat Affected Zone (µm)

ANOVA:

Analysis of Variance

APSO:

Accelerated Particle Swarm Optimization

PMC:

Polymer Matrix Composite

LBM:

Laser Beam Machining

GRA:

Grey Relational Analysis

WPC:

Weighted Principal Component

VIKOR:

VIseKriterijumska Optimizacija I Kompromisno Resenje

dent :

Entrance hole diameter (mm)

dexit :

Exit hole diameter (mm)

(S/N) ratio:

signal-to-noise ratio

µm:

Micro meter

dB:

decibels

\(g^\ast\) :

Global best

\(x_i^\ast\) :

Local best

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Funding

The authors are thankful to the financial support provided by TEQIP III, VSSUT, Burla, Odisha for carrying out the research work (VSSUT/TEQIP/82/2020, dated 20/01/2020 and VSSUT/TEQIP/86/2020, dated 20/01/2020).

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Authors and Affiliations

  1. Department of Production Engineering, Veer Surendra Sai University of Technology, Odisha, 768018, India

    Lipsamayee Mishra, Trupti Ranjan Mahapatra, Debadutta Mishra & Sanat Kumar Pattanaik

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  1. Lipsamayee Mishra
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  2. Trupti Ranjan Mahapatra
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  3. Debadutta Mishra
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  4. Sanat Kumar Pattanaik
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Correspondence to Trupti Ranjan Mahapatra.

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Mishra, L., Mahapatra, T.R., Mishra, D. et al. Machinability Analysis and Multiple Performance Optimization During Laser Micro-drilling of CNT Reinforced Polymer Nanocomposite. Lasers Manuf. Mater. Process. 9, 151–172 (2022). https://doi.org/10.1007/s40516-022-00171-9

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