Dr. M. Navaneetha Krishnan

Scopus Publications

A hybrid ANN–QPSO algorithm to predict and optimise the tool wear and surface roughness in CNC turning of EN24 alloy steel
T. Kannan, M. Navaneetha Krishnan, R. P. Sumithra
Australian Journal of Mechanical Engineering, 2026
EN24 alloy steel is widely used in automotive and aerospace industries due to its high strength. Optimising surface roughness and tool wear is essential for high-precision machining of EN24 alloy steel. Nevertheless, the nonlinearity of the interaction between machining parameters is extremely high, and traditional statistical methods cannot give a good forecast and concurrent optimisation of surface roughness and tool wear. This study proposes a hybrid framework combining artificial neural network (ANN) and quantum particle swarm optimisation (QPSO) to predict and optimise tool wear and surface roughness in CNC turning of EN24. Thirty-one experiments were conducted by varying the depth of cut, cutting speed, nose radius, and feed rate. The ANN–QPSO model obtained RMSE = 0.0270 mm, MAE = 0.0211 mm, and R2 = 0.7176 when predicting tool wear, and for surface roughness, it gave RMSE = 0.1886 µm, MAE = 0.1062 µm, and R2 = 0.6441. Cutting speed and feed rate were the predominant factors influencing the surface roughness and tool wear, respectively. The best machining parameters derived using QPSO were a cutting speed of 315.851 m/min, a feed rate of 0.061 mm/rev, a depth of cut of 1.367 mm, and a nose radius of 1.216 mm, which gave a minimum predicted tool wear of 0.1167 mm and a surface roughness of 1.6001 µm. The ANN–QPSO model was found to be reliable in the optimisation of the machining process. The framework may serve as a reference model for Industry 4.0-enabled adaptive manufacturing systems, particularly for precision machining of EN24 steel.
An inventive image processing technique for examining surface roughness, wear evaluation, and various characterizations of Mg (AZ91)-B4C nano P/M composites
M. Navaneetha Krishnan, S. Suresh, C. Emmy Prema, G. Arun Vijay
Powder Metallurgy Characterization Processing and Optimization Techniques, 2025
DEVELOPMENT OF ECO-FRIENDLY HYBRID COMPOSITES FROM CHEMICALLY TREATED FISHNETS REINFORCED WITH GLASS FIBER AND EPOXY
Revista Romana De Materiale Romanian Journal of Materials, 2025
Enhanced Performance of Mg (AZ91) Composites with Nano B4C: A Comprehensive Study of Microstructure, Mechanical Properties, Acoustic Emission and Thermogravimetric Analysis
M. Navaneetha Krishnan, S. Suresh, C. Emmy Prema
Transactions of the Indian Institute of Metals, 2024
INFLUENCE OF ACOUSTIC EMISSION SIGNALS AND DAMAGE ANALYSIS DURING THE TENSILE TEST ON Al8011 HYBRID COMPOSITES BY STIR CASTING METHOD
C.R. Kannan, S. Suresh, M. Navaneetha Krishnan
Archives of Metallurgy and Materials, 2023
Metal network compounds have primary properties. the use of lightweight and low vitality is a testament to the growing interest in the automotive industry. aluminum alloys, due to their advanced physical, mechanical and tribological properties, have become a highly emerging material for a variety of industrial applications and the importance of efficient material selection is explained. in this paper, an al8011 hybrid metal matrix composite is developed through the stir casting process. the different weight proportions of B 4 C (3%, 6%, 9% & 12%) and fixed proportions of 2% MoS 2 have been used. Composite developed are subjected to mechanical properties evaluation and seawater corrosion studies following standard procedures. to study the porosity of the composite samples, theoretical density and actual density are calculated. an acoustic emission system-assisted tensile test is carried out to report the strength of the composite. From this experimental method, adding reinforcement can increase the tensile strength and hardness of the composites. under sea water, the increase in reinforcement found an increase in corrosion resistance. Fractured surfaces were perused using SeM and eDS analysis.
A Novel Efficient Video Smoke Detection Algorithm Using Co-occurrence of Local Binary Pattern Variants
C. Emmy Prema, S. Suresh, M. Navaneetha Krishnan, N. Leema
Fire Technology, 2022
Effect of B4C on strength coefficient, cold deformation and work hardening exponent characteristics of Mg composites
S. Suresh, M. Navaneetha Krishnan, S.C. Vettivel
Journal of Magnesium and Alloys, 2022
The emphasis of this exploration was to examine the workability and work hardening performance of Mg (Magnesium) specimen and Mg-B4C composites created via the powder metallurgy technique. The pure Mg and Mg-B4C composites are made with distinct weight percentages (Mg-5% B4C, Mg-10% B4C, and Mg-15% B4C) at the unit aspect ratio. The powders and composites characterization are executed by SEM (Scanning Electron Microscope), EDS (Energy Dispersive Spectrum) with an elemental map, and XRD (X-ray Diffraction) examination. It displays that, the B4C particles were dispersed consistently with the Mg matrix. The workability and work hardening examination was conducted in triaxial stress conditions using the cold deformation process. The consequence of workability stress exponent factor (βσ), distinct stress proportion factors (σm/σeff and σθ/σeff), instantaneous work hardening exponent (ni), work hardening exponent (n), coefficient of strength (k) and instantaneous coefficient of strength (ki) are recognized. The outcome displays that Mg-15% B4C specimen has greater workability and work hardening parameter, initial relative density, and triaxial stresses compared with the Mg specimen and Mg-(5–10%) B4C composites.
Image Texture Description, Surface-Grains Structure Morphology and Prediction of Wear Parameters for Mg/B4C Composites Using Response Surface Methodology
M. Navaneetha Krishnan, S. Suresh, S. C. Vettivel, C. Emmy Prema, J. Arun, P. Thirunamakodi
Metals and Materials International, 2022
A Novel Image Processing Technique for Analyzing Wear Worn Surface Roughness and Corrosion Behavior of Sintered Mg/B4C Composites
M. Navaneetha Krishnan, S. Suresh, S. C. Vettivel, C. Emmy Prema, C. P. Jesuthanam
Transactions of the Indian Institute of Metals, 2021
Effects on Micro-Surface Texturing of Mg/B4C Matrix Composites Under Dry Sliding Wear Condition
M. Navaneetha Krishnan, S. Suresh, S. C. Vettivel
Transactions of the Indian Institute of Metals, 2020
Characterization, formability, various stresses and failure analysis on workability of sintered Mg-5%B4C composite under triaxial stress state condition
M. Navaneetha Krishnan, S. Suresh, S.C. Vettivel
Journal of Alloys and Compounds, 2018

RECENT SCHOLAR PUBLICATIONS

A hybrid ANN–QPSO algorithm to predict and optimise the tool wear and surface roughness in CNC turning of EN24 alloy steel
T Kannan, MN Krishnan, RP Sumithra
Australian Journal of Mechanical Engineering, 1-15 , 2026
2026
Citations: 1
An inventive image processing technique for examining surface roughness, wear evaluation, and various characterizations of Mg (AZ91)-B4C nano P/M composites
MN Krishnan, S Suresh, CE Prema, GA Vijay
Powder Metallurgy, 33-49 , 2026
2026
DEVELOPMENT OF ECO-FRIENDLY HYBRID COMPOSITES FROM CHEMICALLY TREATED FISHNETS REINFORCED WITH GLASS FIBER AND EPOXY.
SD PRINCE JOHN SAHAYAM, A PANIMAYAM, NK MUTHU NADAR, ...
Romanian Journal of Materials/Revista Romana de Materiale 55 (4) , 2025
2025
Enhanced Performance of Mg (AZ91) Composites with Nano B 4 C: A Comprehensive Study of Microstructure, Mechanical Properties, Acoustic Emission and …
MN Krishnan, S Suresh, CE Prema
Transactions of the Indian Institute of Metals 77 (11), 3557-3572 , 2024
2024
Citations: 3
Analysis of an Economic Pyrolysis plant to convert plastic waste to liquid fuel
S V, J A, N Krishnan M, V Nanthini C
International Journal of Electrical and Computer System Design 5, 7-11 , 2024
2024
Effect of surface roughness on the mechanical performance of a 3D printed PLA component
N Krishnan M, S V, J A, S S, V Nanthini C
International Journal of Electrical and Computer System Design 5, 1-6 , 2024
2024
Simultaneous Optimization of Machining tolerance and asymmetric quality loss for Gear box assembly in four stack up conditions
R Sampath Kumar, A Tamilarasan, P Rajasekaran, ...
High Technology Letters 29 (9), 651-661 , 2023
2023
Influence of Acoustic Emission signals and damage analysis during tensile test on Al8011 hybrid composites by stir casting method
CR Kannan, S Suresh, M Navaneetha Krishnan
Archives of Metallurgy and Materials 68, 223–235 , 2023
2023
Citations: 3
A Novel Efficient Video Smoke Detection Algorithm Using Co-occurrence of Local Binary Pattern Variants
CE Prema, S Suresh, M Navaneetha Krishnan, N Leema
Fire Technology 58 (5), 3139-3165 , 2022
2022
Citations: 89
Image Texture Description, Surface-Grains Structure Morphology and Prediction of Wear Parameters for Mg/B4C Composites Using Response Surface Methodology
M Navaneetha Krishnan, S Suresh, SC Vettivel, CE Prema, J Arun, ...
Metals and Materials International 28 (5), 1195-1214 , 2022
2022
Citations: 3
A novel eco-reliable hybrid composite laminates for sustainable Kattumaram and Vallam structures
S Suresh, M Navaneetha Krishnan, C Emmy Prema
Book Chapters for Multidisciplinary subjects for research 2, 48-54 , 2022
2022
Computer Aided Design of side actions for Injection Molding of complex parts
M Navaneetha Krishnan, SL Akash, J Abishek Chandran, S Sharan, ...
Recent Advancements in Civil, Mechanical and Management Studies 2 (2), 162 , 2022
2022
A Novel Image Processing Technique for Analyzing Wear Worn Surface Roughness and Corrosion Behavior of Sintered Mg/B4C Composites
M Navaneetha Krishnan, S Suresh, SC Vettivel, CE Prema, ...
Transactions of the Indian Institute of Metals 74 (1), 51-68 , 2021
2021
Citations: 7
Effect of B4C on strength coefficient, cold deformation and work hardening exponent characteristics of Mg composites
S Suresh, M Navaneetha Krishnan, SC Vettivel
Journal of Magnesium and Alloys , 2020
2020
Citations: 34
Effects on Micro-Surface Texturing of Mg/B4C Matrix Composites Under Dry Sliding Wear Condition
MN Krishnan, S Suresh, SC Vettivel
Transactions of the Indian Institute of Metals 73 (4), 897-912 , 2020
2020
Citations: 3
Effects on Micro-Surface Texturing of Mg/B 4 C Matrix Composites Under Dry Sliding Wear Condition
M Navaneetha Krishnan, S Suresh, SC Vettivel
Transactions of the Indian Institute of Metals 73 (4), 897-912 , 2020
2020
Citations: 6
Characterization, formability, various stresses and failure analysis on workability of sintered Mg-5% B4C composite under triaxial stress state condition
M Navaneetha Krishnan, S Suresh, SC Vettivel
Journal of Alloys and Compounds 747, 324-339 , 2018
2018
Citations: 25
Workability Behavior of Copper–Tungsten and Graphite Composites
M Navaneetha Krishnan, SC Vettivel, G Karthikeyan
Trends in Machine Design 1 (2), 12-22 , 2014
2014

MOST CITED SCHOLAR PUBLICATIONS

A Novel Efficient Video Smoke Detection Algorithm Using Co-occurrence of Local Binary Pattern Variants
CE Prema, S Suresh, M Navaneetha Krishnan, N Leema
Fire Technology 58 (5), 3139-3165 , 2022
2022
Citations: 89
Effect of B4C on strength coefficient, cold deformation and work hardening exponent characteristics of Mg composites
S Suresh, M Navaneetha Krishnan, SC Vettivel
Journal of Magnesium and Alloys , 2020
2020
Citations: 34
Characterization, formability, various stresses and failure analysis on workability of sintered Mg-5% B4C composite under triaxial stress state condition
M Navaneetha Krishnan, S Suresh, SC Vettivel
Journal of Alloys and Compounds 747, 324-339 , 2018
2018
Citations: 25
A Novel Image Processing Technique for Analyzing Wear Worn Surface Roughness and Corrosion Behavior of Sintered Mg/B4C Composites
M Navaneetha Krishnan, S Suresh, SC Vettivel, CE Prema, ...
Transactions of the Indian Institute of Metals 74 (1), 51-68 , 2021
2021
Citations: 7
Effects on Micro-Surface Texturing of Mg/B 4 C Matrix Composites Under Dry Sliding Wear Condition
M Navaneetha Krishnan, S Suresh, SC Vettivel
Transactions of the Indian Institute of Metals 73 (4), 897-912 , 2020
2020
Citations: 6
Enhanced Performance of Mg (AZ91) Composites with Nano B 4 C: A Comprehensive Study of Microstructure, Mechanical Properties, Acoustic Emission and …
MN Krishnan, S Suresh, CE Prema
Transactions of the Indian Institute of Metals 77 (11), 3557-3572 , 2024
2024
Citations: 3
Influence of Acoustic Emission signals and damage analysis during tensile test on Al8011 hybrid composites by stir casting method
CR Kannan, S Suresh, M Navaneetha Krishnan
Archives of Metallurgy and Materials 68, 223–235 , 2023
2023
Citations: 3
Image Texture Description, Surface-Grains Structure Morphology and Prediction of Wear Parameters for Mg/B4C Composites Using Response Surface Methodology
M Navaneetha Krishnan, S Suresh, SC Vettivel, CE Prema, J Arun, ...
Metals and Materials International 28 (5), 1195-1214 , 2022
2022
Citations: 3
Effects on Micro-Surface Texturing of Mg/B4C Matrix Composites Under Dry Sliding Wear Condition
MN Krishnan, S Suresh, SC Vettivel
Transactions of the Indian Institute of Metals 73 (4), 897-912 , 2020
2020
Citations: 3
A hybrid ANN–QPSO algorithm to predict and optimise the tool wear and surface roughness in CNC turning of EN24 alloy steel
T Kannan, MN Krishnan, RP Sumithra
Australian Journal of Mechanical Engineering, 1-15 , 2026
2026
Citations: 1
An inventive image processing technique for examining surface roughness, wear evaluation, and various characterizations of Mg (AZ91)-B4C nano P/M composites
MN Krishnan, S Suresh, CE Prema, GA Vijay
Powder Metallurgy, 33-49 , 2026
2026
DEVELOPMENT OF ECO-FRIENDLY HYBRID COMPOSITES FROM CHEMICALLY TREATED FISHNETS REINFORCED WITH GLASS FIBER AND EPOXY.
SD PRINCE JOHN SAHAYAM, A PANIMAYAM, NK MUTHU NADAR, ...
Romanian Journal of Materials/Revista Romana de Materiale 55 (4) , 2025
2025
Analysis of an Economic Pyrolysis plant to convert plastic waste to liquid fuel
S V, J A, N Krishnan M, V Nanthini C
International Journal of Electrical and Computer System Design 5, 7-11 , 2024
2024
Effect of surface roughness on the mechanical performance of a 3D printed PLA component
N Krishnan M, S V, J A, S S, V Nanthini C
International Journal of Electrical and Computer System Design 5, 1-6 , 2024
2024
Simultaneous Optimization of Machining tolerance and asymmetric quality loss for Gear box assembly in four stack up conditions
R Sampath Kumar, A Tamilarasan, P Rajasekaran, ...
High Technology Letters 29 (9), 651-661 , 2023
2023
A novel eco-reliable hybrid composite laminates for sustainable Kattumaram and Vallam structures
S Suresh, M Navaneetha Krishnan, C Emmy Prema
Book Chapters for Multidisciplinary subjects for research 2, 48-54 , 2022
2022
Computer Aided Design of side actions for Injection Molding of complex parts
M Navaneetha Krishnan, SL Akash, J Abishek Chandran, S Sharan, ...
Recent Advancements in Civil, Mechanical and Management Studies 2 (2), 162 , 2022
2022
Workability Behavior of Copper–Tungsten and Graphite Composites
M Navaneetha Krishnan, SC Vettivel, G Karthikeyan
Trends in Machine Design 1 (2), 12-22 , 2014
2014

Dr. M. Navaneetha Krishnan

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications

RECENT SCHOLAR PUBLICATIONS

MOST CITED SCHOLAR PUBLICATIONS