SAKTHIVEL PERUMAL
@karpagamtech.ac.in
Professor and Head/ Mechanical Engineering
Karpagam institute of technology
Dr. P. Sakthivel completed his undergrad in mechanical engineering from the Government College of Engineering, Salem, Periyar University, and his post-graduation in engineering design from Kongu Engineering College, Erode, Anna University, Chennai. He obtained his doctorate in mechanical engineering from Anna University. He has more than 18 years of teaching and research experience at various leading institutions. He has published more than 32 research papers in leading international and national journals and more than 15 research papers at leading international and national conferences. He won the best researcher award for the academic year 2022-2023. He has filled and published eight patents, one book, and three book chapters. He organized many programs, like PMKVY, NSS, UBA, FDP, and workshops. He has given many guest lectures at various institutions. He is a life member of ISTE.
EDUCATION
M.E., Ph.D., MISTE.,
RESEARCH, TEACHING, or OTHER INTERESTS
Mechanical Engineering, Materials Science
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
S. Santhosh, P. Sakthivel, M. Premkumar, M. Raghulkumar, M. Ragul, and S. Ragul
SAE International
<div class="section abstract"><div class="htmlview paragraph">Natural fibers are increasingly being used to reinforce glass fiber composites rather than synthetic fibers because of their increased tensile strength, despite some inherent disadvantages. With the help of the structural analysis program ANSYS, three different combinations were thoroughly analyzed with an eye toward factors like total deformation, equivalent elastic strain, and equivalent stress in order to determine the best combination. The composite specimen exhibiting the best performance qualities was chosen for further manufacturing. A fracture load of 8.93 kN and a tensile strength of 81.46 MPa were obtained from tensile strength tests and Charpy impact tests performed on samples made from the composite. The impact test, which produced a value of 14 J using a 15 kg pendulum, also shed light on the ability to absorb energy during fracture. These results indicate that the composite material has qualities that make it a good choice for dashboards and panels for automobiles.</div></div>
Sakthivel Perumal, Mohana Krishnan Amarnath, Karthigairajan Marimuthu, Prabagaran Subramaniam, Venkatesh Rathinavelu, and Duraisamy Jagadeesh
Springer Science and Business Media LLC
Lokesh Selvam, Sakthivel Perumal, Mahendran Jayavel, Venkatesh Rathinavelu, Veluchamy Balakrishnan, Priya Chathapuram Balasubramanian, Ismail Hossain, V. Mohanavel, and A. H. Seikh
Springer Science and Business Media LLC
Sakthivel P., Santhosh S., and Sivaraman P.
Institute of Metals and Technology
To determine whether eggshell particles can be used as a filler material to improve mechanical properties, this study examines the mechanical characteristics of a hybrid material made of eggshell particles and glass-fiber-reinforced polymer (GFRP). To obtain the appropriate particle size, the eggshells are cleaned, crushed, and sieved as part of the experimental approach. The eggshell fragments are then mixed with resin and glass fibres using a vacuum-assisted resin-transfer moulding process to create GFRP composites. The produced GFRP composites’ flexural strength, stiffness, fatigue stability, and other pertinent characteristics are evaluated with practical tests. Notably, certain qualities are enhanced with the inclusion of eggshell particles containing 110 % of the weight of fibroin. In comparison to conventional GFRP composites, which only consider fatigue life during the exhaustion testing phase, the results reveal a 15% increase in the enhancement rate. The findings imply that adding eggshell particles to GFRP composites has tremendous opportunities for progress, notably in automotive applications, and more specifically in the use of leaf springs. The hybrid material’s better mechanical characteristics suggest that it may be possible to improve the performance and longevity of leaf-spring applications. This study advances the investigation of low-cost, environmentally friendly materials for improving composite materials’ mechanical properties in the automobile sector. The application of eco-friendly and effective solutions in the production of automobiles may result from more study and development in this field.
R. Venkatesh, P. Sakthivel, G. Selvakumar, A. Mohana Krishnan, P. Purushothaman, and C. B. Priya
Springer Science and Business Media LLC
R. Venkatesh, P. Sakthivel, M. Vivekanandan, C. Ramesh Kannan, J. Phani Krishna, S. Dhanabalan, T. Thirugnanasambandham, and Manaye Majora
Hindawi Limited
Advances in friction materials are imposed on developing multiceramic reinforced hybrid nanocomposites with superior tribomechanical properties. The silver-based matrix metals are gained significance in various applications like bearing, ratchet, and electrical contacts due to their high frictional resistance and good thermal and chemical stability compared to traditional metals. The present research is to develop silver-based hybrid nanocomposites containing alumina (Al2O3) and silicon carbide (SiC) nanoparticles of 50 nm mixing with the ratio of 0 wt% Al2O3/0 wt% SiC, 5 wt% Al2O3/0 wt% SiC, and 5 wt% Al2O3/5 wt% SiC via the semisolid vacuum stir-cast technique. The vacuum technology minimizes casting defects and increases composite properties. The casted composite samples are subjected to study the effect of reinforcement on thermal adsorption, conductivity, diffusivity, and frictional resistance. The composite containing 5 wt% Al2O3np/5 wt% SiCnp is to find optimum thermal and frictional behaviour. The thermal adsorption and frictional resistance are increased by 30% and 27% compared to unreinforced cast silver. The Ag/5 wt% Al2O3np/5 wt% SiCnp hybrid nanocomposite is recommended for automotive friction-bearing applications.
S. Srinivasan, C. Vivek, P. Sakthivel, G. Chamundeeswari, S. Prasanna Bharathi, S. Amuthameena, and B. Balraj
Elsevier BV
R. Venkatesh, S. Manivannan, P. Sakthivel, V. Vijayan, and S. Jidesh
Springer Science and Business Media LLC
M. Dhurgadevi and P. Sakthivel
Springer Science and Business Media LLC
D. Raguraman, P. Sakthivel, V. Paramasivam, L. Girisha, S. Krishnamoorthy, S. Rahul Alex, and R. Subbiah
Elsevier BV
Sakthivel Perumal, Dinesh Sundaresan, Rajkumar Sivanraju, Nega Tesfie, Kamalakannan Ramalingam, and Sathish Thanikodi
National Library of Serbia
In this research aimed to estimate the overall heat transfer coefficient of counter flow shell and tube heat exchanger. Heat transfer is the phenomenon to analysis of heat transfer from one medium of fluid to another medium of fluid, it is considered as a major role in industrial applications. Numerous heat exchangers are available, in this research considered as shell and tube heat exchanger. Overall heat transfer coefficient informed that three major factors are influenced as passing of fluid (film) media coefficient inside the tubes, circulating of fluid (film) media coefficient over in the shell, and the resistance of wall made on metal. In this study Taguchi L9 orthogonal array is executed to found the overall heat transfer coefficient with effective process parameters. Three major parameters are considered for this work are coil diameter (25 mm, 30 mm, and 35 mm), baffle thickness (15 mm, 20 mm, and 25 mm) and baffle gap (200 mm, 300 mm, and 400 mm. Baffle plate thickness is highly significant factor for this experiment.
Sakthivel Perumal, Vijayan Venkatraman, Rajkumar Sivanraju, Addisalem Mekonnen, Sathish Thanikodi, and Ramesh Chinnappan
National Library of Serbia
Nowadays ensure the performance of heat exchanger is one of the toughest roles in industries. In this work focused on improve the performance of shell and tube heat exchangers by reducing the pressure drop as well as raising the overall heat transfer. This work considered as a different nanoparticles such as Al2O3, SiO2, TiO2, and ZrO2 to form a nanofluids. This nanofluids possesses high thermal conductivity by using of this increase the heat transfer rate in shell and tube heat exchanger. The selected nanofluids are compared to base fluid based on the thermophysical properties as well as heat transfer characteristics. All the heat transfer characteristics are improved by applying of nanofluids particularly higher results are obtained with using of TiO2 and Al2O3 compared to SiO2 and ZrO2. Mixing of nanoparticles increased in terms of volume percentage it will be increases the all heat transfer characteristics as well as performance of the heat exchanger.
P. Sakthivel, S. Dinesh, A. Godwin Antony, and V. Vijayan
Springer Singapore
S Jaganathan, S Santhosh, and P Sakthivel
IOP Publishing
Abstract Zero defects are the ultimate aim of any manufacturer casting aluminium alloys. shrinkage porosity is the major defect in casting AlSi5Cu1Mg alloy using Gravity Die Casting (GDC) process. This paper deals with development of effective approach to describe the optimal condition to reduce the shrinkage porosity formation. Solidification time, metal temperature, and preheat molten temperature are varied using Response Surface Methodology (RSM) based Box-Behnken Design (BBD)and conducted experiments. Solidification time and pouring metal temperature are directly proportional and solidification time and preheat temperature of the mould are indirectly proportional. Theoretical approach is validated with the experimental approach and the predicted values from RSM based BBD is useful and effective in determining the optimized process conditions in GDC process.
P. Sakthivel, S. Santhosh, K. Sriram, S. Sanjay, and N. Mohan Raj
AIP Publishing
S. Santhosh, P. Sakthivel, K. V. Siva Suriya, and M. Vesvanth
AIP Publishing
P. Sathivel, S. Santhosh, C. Saravanan, and K. Saravanan
Elsevier BV
P. Sakthivel, V. Manobbala, T. Manikandan, Z. Mohammed Arman Salik, and G. Rajkamal
Elsevier BV
C. Saravanan, P. Sathivel, S.V Kajendirakumar, and B. Suresh Kumar
Elsevier BV
Sakthivel Perumal, Srinivasan Rajendrian, Vijayan Venkatraman, Dinesh Sundaresan, and Lakshmanan Pandiyan
National Library of Serbia
In this experimental study mainly focused the thermal property such as thermal resistance and heat transfer analysis for the air gap variations provided in between two glasses on window for the domestic purposes. Easily available surrounding air considered as the experimental mater because of its arrangements. Thermal resistance of inside, outside and glasses (both glasses have same thermal conductivity such as 0.78 W/mK) all are maintained as constant throughout the investigation. But only air gap distance increased from 2 mm to 14 mm with gradual in- crease focused. The thermal conductivity of air considered as 0.026 W/mK. Thermal resistance and heat transfer impact with respect to the air gap between glasses were identify with the help of graphical representations.
Santhosh Srinivasan, Sakthivel Perumal, Rajaguru Kadasari, Lakshmanan Pandiyan, and Suresh Balakrishnan
National Library of Serbia
Automatic air conditioning system is encouraged in most of the automotive especially passenger cars. This system can enable higher standard of comfort to the passengers, so the automotive industries are trying to implement the automatic air conditioning system in most of their vehicle. One the other hand manufacturing simulation is additional processing experienced in most of the manufacturing industry, to analysis the complete performance of the product or vehicle before it manufacturing. In recent decade more than 100 simulators are developed to analysis the various operation of the manufacturing and vehicle. But simulation analysis of air conditioning system and automatic air conditioning system is challenging to the engineer. They may require to spend more time to analysis the performance of the automatic air conditioning system. Thus in later period soft computing based system for the effective performance prediction of automatic air conditioning system is proposed. But the prediction accuracy of the past technique is not in the satisfactory level. Hence in this paper, a novel soft computing technique is proposed for the effective prediction of the performance of the automatic air conditioning system. In the proposed system support vector machine is used for the prediction of the performance of automatic air conditioning system. The performance of the proposed technique is compared with the ANN.
C. Saravanan, S. Dinesh, P. Sakthivel, V. Vijayan, and B.Suresh Kumar
Elsevier BV