K.Anton Savio Lewise
@karunya.edu
Assistant Professor
Karunya Institute of Technology & Sciences
EDUCATION
Phd in Aeronautical Engineering (Aera of Interest: Aerospace Materials)
ME in Aeronautical Engineering
BE in Aeronautical Engineering
RESEARCH INTERESTS
Aerospace Materials, Composite Materials, Material Characterization, Friction stir welding, Manufacturing Technology
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
A. K. Darwins, K. Anton Savio Lewise, Mohammed Fahad, M. Satheesh, J. Edwin Raja Dhas, and A. Vivek Anand
Springer Science and Business Media LLC
A. K. Darwins, M. Satheesh, J. Edwin Raja Dhas, K. Anton Savio Lewise, R. Ajith Raj, and B. Manideep
Springer Science and Business Media LLC
V S Akash, J Edwin Raja Dhas, K Anton Savio Lewise, and C P Jesuthanam
IOP Publishing
Abstract Surface of a machined component is a significant factor in evaluating the quality. Quality of machined surface plays an important role in predicting the fatigue strength, corrosion resistance and creep life. It is tedious to realize the process parameters behind the surface roughness formation mechanism. Hence development of models, which can predict a wide variety of process parameters to assist the real time factory floor decision making process is challenging. This article addresses the development of particle swarm optimization-based support vector regression model for machining quality prediction. Data set for training and testing the proposed model is obtained from experimental observations supported with regression results with spindle speed, feed rate, depth of cut and vibration as input parameters and surface roughness as output parameter. K-fold cross validation is applied for training and testing the proposed model. Predicted results from swarm-based support vector regression model are validated with fuzzy and support vector regression models. Analysis of Variance is done using the results from signal to noise ratio computations for identifying the influence of controllable factors involved. The analysis from ANOVA indicates that spindle speed and feed rate play significant roles in determining the surface quality of the machined component. Test results reveal that the developed model can be used successfully for machinability data selection.
Ramanan G, Edwin Raja Dhas J, Anton Savio Lewise K, Naveen Kumar Kulandaiyappan, Beena Stanislaus Arputharaj, Parvathy Rajendran, Vijayanandh Raja, and Arunkumar Karuppasamy
Springer Science and Business Media LLC
K. Anton Savio Lewise, J. Edwin Raja Dhas, and M. Satheesh
CRC Press
Jeyaprakash Natarajan and K. Anton Savio Lewise
CRC Press
Sampath Boopathi, K. Anton Savio Lewise, J. Edwin Raja Dhas, and M. Satheesh
CRC Press
R. Mukesh, Sarat C. Dass, M. Vijay, G. Ramanan, K. Anton Savio Lewise, and A. Vivek Anand
Informa UK Limited
K. Anton Savio Lewise, J. Edwin Raja Dhas, R. Pandiyarajan, and S. Sabarish
Elsevier BV
J. Edwin Raja Dhas, K. Anton Savio Lewise, and M. Satyanarayana Gupta
AIP Publishing
K. Anton Savio Lewise, J. Edwin Raja Dhas, and R. Pandiyarajan
AIP Publishing
M.A. Unnikrishnan, J. Edwin Raja Dhas, K. Anton Savio Lewise, John C. Varghese, and M. Ganesh
Elsevier BV
K. Anton Savio Lewise, J. Edwin Raja Dhas, and R. Pandiyarajan
Springer Nature Singapore
Sampath Boopathi, G. Venkatesan, and K. Anton Savio Lewise
Springer Nature Singapore
Jeyachandran Vivek, P Veerathevar Arul Kumar, Kuzhanthai Anton Savio Lewise, and Viruthachaam Velmurugan
Springer Science and Business Media LLC
J. Vivek, T. Maridurai, K. Anton Savio Lewise, R. Pandiyarajan, and K. Chandrasekaran
Springer Science and Business Media LLC
J. Edwin Raja Dhas, K. Anton Savio Lewise, K. Naveen Kumar, Vijayanandh Raja, Hussein A. Z. AL-bonsrulah, Hijaz Ahmad, Shao-Wen Yao, and Mohammed Al-Bahrani
Frontiers Media SA
Lightweight materials are being employed in aeronautical and automobile industries for high strength, lower weight, and energy consumption. Attention is needed to control pollution through the usage of harmful synthetic composites globally. In this work, coconut shell nanofillers are reinforced in the development of various palm fiber (leaf stalk, leaf sheath, leaf-spine, and fruit) composites using the hand layup technique. Mechanical and morphological effects of the addition of nano-coconut-shell-powder to the composites are addressed. The palm fibers are sandwiched within the glass fiber to improve the strength of composites. The addition of coconut shell nanoparticles in the composites improves the tensile, flexural, impact, hardness, and water absorption characteristics. SEM image observations on the composite indicate the buildup of nanomodified matrix residues around the fiber bundle. The adhesive property of the composite is confirmed by Fourier transform infrared spectroscopy examination, which reveals the presence of one additional alcohol/phenol OH stretch, one less alkyl CH stretch, and aromatic CH bending functional groups. The inclusion of palm fibers during the fabrication of composites facilitated the pushing of curves to higher temperatures with considerable degradation temperatures, thereby increasing thermal stability and making them suitable for thermal applications. Development of the eco-composite changes environmental impact factors aiming sustainability.
S. Subash, B. Stanly Jones Retnam, J. Jerin Happy, J. Edwin Raja Dhas, K. Anton Savio Lewise, and M. Ganesh
Elsevier BV
S. Suhin, S. Robin Divahar, J. Edwin Raja Dhas, K. Anton Savio Lewise, and M. Satyanarayana Gupta
Elsevier BV
K. Anton Savio Lewise, J. Edwin Raja Dhas, and R. Pandiyarajan
Informa UK Limited
ABSTRACT The present novel work is the investigation of dissimilar AA2024/AA7075 aluminium alloy friction stir spot welded joint. The input welding process parameters were analysed to determine the most influencing process parameter on mechanical and morphological properties of the weld. The welding process and input parameters were optimised by Box–Behnken design and response surface methodology. Among the enhanced mechanical characteristics, tensile shear force was observed to be enhanced to maximum being influenced by the rotational speed of the friction stir tool. Optimised performance characteristics were obtained by using desirability approach, and the resulting optimal input parameters were: Tool plunge depth = 3.3 mm, rotational speed of tool = 2000 rpm and Tool dwell time = 40 s. The optimal tensile shear force and hardness obtained were 4.18 kN and 134 HV, respectively, which were validated by comparing the experimental and predicted output response. The elemental composition and morphology of materials were tcharacterised by X-ray diffraction – scanning electron microscope, while the mechanical properties were analysed by tensile and Vickers hardness testing.
S. Muhammed Yazir, J. Edwin Raja Dhas, A.K. Darwins, K. Anton Savio Lewise, and M. Satyanarayana Gupta
Elsevier BV
V. Haribalaji, Sampath Boopathi, M. Mohammed Asif, T. Yuvaraj, D. Velmurugan, K. Anton Savio Lewise, S. Sudhagar, and P. Suresh
Elsevier BV
J. Kirubakaran, S. Robin Divahar, J. Edwin Raja Dhas, K. Anton Savio Lewise, and A. Vivek Anand
Elsevier BV