K P YUVARAJ

@skcet.ac.in

Assistant Professor
Sri Krishna College of Engineering and Technology

K P YUVARAJ


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https://researchid.co/cadyuva369

RESEARCH INTERESTS

Friction stir welding, Metal Joining, Material Characterization, Material testing
34

Scopus Publications

272

Scholar Citations

9

Scholar h-index

7

Scholar i10-index

Scopus Publications

  • Tailoring the Properties of Al7055 Alloy through Titanium Diboride and Graphene Oxide Reinforcements: Development and Characterization
    Ashok Kumar Dorairaj, Suresh Vellingiri, Sekhar Babu Pendyala, K. P. Yuvaraj
    Journal of Materials Engineering and Performance, 2025
  • Machine Learning for Sentiment Analysis Using Social Media Scrapped Data
    Galiveeti Poornima, Meenakshi, Malik Jawarneh, A. Shobana, K.P. Yuvaraj, Urmila R. Pol, Tejashree Tejpal Moharekar
    Natural Language Processing for Software Engineering, 2025
    Social media encompasses a wide range of internet apps that enable users to share, find, and engage with material created by other users. The number of persons utilizing social media increases by up to 3.80 million on a daily basis. By the start of 2020, the number of internet users is projected to reach 1 billion. Social media is a significant catalyst for acquiring and disseminating information in several domains such as entertainment, commerce, science, politics, and crisis management. It enables users to publish and share a diverse range of media formats, including text, videos, pictures, and audio. By conducting data analysis on social media, a person can access a wide range of information, including trends, concerns, and key individuals. Sentiment Analysis (SA) aims to ascertain the emotional response of individuals towards a specific service, business, or product. Sentiment analysis utilizes a diverse range of approaches, strategies, and tools to identify and extract subjective information, such as views and attitudes, from a given language. Traditionally, SA has sought to assess any information that is accessible to the public on the Internet. When utilized in conjunction with theme analysis, sentiment analysis has the capability to accurately detect both positive and negative emotions. Deep Learning Techniques (DLTs) are valuable in Sentiment Analysis (SA) because they have the ability to teach both supervised and unsupervised categories. DLTs comprise several network types such as feature presentation, phrase modeling, text creation, word representation estimation, vector representation, and sentence classification.
  • A Detailed Study on using Novel LM 25 Aluminium Alloy Hybrid Metal Matrix Nanocomposite for Nuclear Applications
    S.C.V. Ramana Murty Naidu, Suresh Vellingiri, Paulraj Prabhu, Beporam Iftekhar Hussain, Abdul Rab Asary, Govindarajulu Padmanaban, Mukuloth Srinivasnaik, Kunnathur Periyasamy Yuvaraj
    Recent Patents on Nanotechnology, 2025
    Aim:: This article describes the use of graphite(Gr) and boron carbide (B4C) as multiple nanoparticle reinforcements in LM25 aluminum alloy. Because boron carbide naturally absorbs neutron radiation, aluminium alloy reinforced with boron carbide metal matrix composite has gained interest in nuclear shielding applications. The primary goal of the endeavor is to create composite materials with high wear resistance, high microhardness, and high ultimate tensile strength for use in nuclear applications. Patents on Gr and B4C can cover a wide range of subjects, including the synthesis and production methods of structural, armor materials, abrasives, and nuclear shielding. Background:: Science and Technology have brought a vast change to human life. The human burden has been minimized by the use of innovation in developing new and innovative technologies. To improve the quality of human life, fresh, lightweight, and creative materials are being used, which play a vital role in science and technology and reduce the human workload. Composite materials made of metal are being used because they are lightweight. Neutron absorption, high ultimate strength, high wear resistance, high microhardness, high thermal and electrical conductivity, high vacuum environmental resistance, and low coefficient of thermal expansion under static and dynamic conditions are all demands for the hybrid metal matrix composites utilized in nuclear applications. Objective:: Stir casting is used to create the novel LM 25 aluminum alloy/graphite and boron carbide hybrid nanocomposites. • The mechanical properties such as ultimate tensile strength, yield strength, percentage of elongation, microhardness, and wear behavior are calculated. • Three analyses are performed: microstructure, worn surface analysis, and fracture analysis of the tensile specimen. Method:: • Stir casting process • Tensile, Hardness, Wear Test • Materials Characterization – FESEM, Optical Microscopy, EDS Results:: The mechanical properties values are 308.76 MPa, 293.51 MPa, 7.8, 169.2 VHN, and 0.01854mm3/m intended for ultimate tensile strength, yield strength, percentage of elongation, microhardness, and wear behavior, respectively. This implies that the synthesized composite may be used in nuclear applications successfully Conclusion:: The subsequent explanation was drawn from this investigative work: • The LM 25/B4C/Gr hybrid nanocomposite was successfully manufactured by employing the stir casting technique. For nuclear shielding applications, these composites were prepared with three different weight percentages of nanoparticle reinforcements in 2,4,6% Boron carbide and constant 4 wt.% graphite. • The microhardness values of the three-hybrid nanocomposite fabricated castings were determined to be 143.4VHN, 156.7VHN, and 169.2VHN, respectively. • The hybrid nano composite's microstructure revealed that the underlying LM 25 aluminum alloy matrix's finegrained, evenly dispersed nanoparticles of graphite and boron carbide were present. • The microtensile test was carried out and it was found that the ultimate tensile strength, yield strength and percentage of elongation values are 281.35MPa, 296.52MPa, 308.76MPa, 269.43, 274.69, 293.51 and 3.4, 5.7, 7.8 respectively. • Deformation caused the hybrid LM 25/B4C/Gr nanocomposite to fracture in ductile mode. Dimples and cavities are seen in the fracture because of the nanoparticle reinforcements and the matrix's tight connection. • The wear loss of nanocomposite based on the input parameter applied load, sliding velocity and sliding distance values are 0.02456, 0.02189, 0.01854, 0.02892, 0.02586, 0.02315 and 0.02682, 0.02254, 0.02015 mm3/m, respectively. • The LM 25 alloy's elemental analysis displays the aluminum alloy phase as the largest peak and the remaining elements as smaller peaks; also, the spectral analysis reveals the presence of boron (B), graphite (C), silicon, and ferrous in the aluminum alloy LM 25. • Through worn surface FESEM investigation, it was shown that under sliding and high load situations, debris, delamination, and groove develop. Further rupture, fine, and continuous grooves were seen when low stress and sliding circumstances were applied to the LM 25/B4C/Gr and stir cast specimen. This result implies the presence of mild adhesive and delamination wear processes.
  • Effect of nanoparticles reinforcement of silicon dioxide derived from prosopis juliflora on Silver-Grey magnesium nanocomposite: utilization of silicon dioxide mechanical and tribological properties
    M Arundeep, V Suresh, M Srinivasnaik, K P Yuvaraj
    Materials Research Express, 2024
    The automotive and aviation industries require lightweight materials to enhance working efficiency. Composites combine materials such as aluminium, magnesium, titanium, steel, and copper with various forms of reinforcements to offer lightweight alternatives for a range of applications. The present investigation aims to fabricate a Silver-Grey Magnesium (Mg-25%Si) alloy-based nanocomposite with silicon dioxide (SiO2) nano reinforcement at weight % of 0, 3.25, 6.5 and 9.75 utilizing the two step stir casting method. Prosopis juliflora is utilized in the production of different weight percentages of SiO2 nano reinforcements. The microhardness, tensile, wear, and impact tests are performed on the Silver-Grey Magnesium nanocomposites (Mg-25%Si/SiO2) utilizing a computerized tensometer testing machine, a Vicker’s hardness tester, a pin-on-disc tribometer, and an Izod impact, respectively. The x-ray diffraction (XRD), Field Emission Scanning Electron Microscope (FESEM), and Energy-dispersive x-ray spectroscopy (EDAX) with elemental mapping microstructure were employed to scrutinize the tensile specimen fracture, EDAX, elemental mapping microstructure, wear, CoF, and worn surface characterization and impact strength analysis. When compared to the Silver-Grey Magnesium (Mg-25%Si) base alloy, the results of the Mg-25%Si/SiO2 nanocomposites demonstrated an increase in SiO2 nano reinforcements that significantly increased microhardness, tensile strength, wear resistance, and impact strength. The corresponding values are 113.36 VHN, yield and ultimate tensile strength of 603.25 MPa and 665.84 MPa, 0.00478 mm3 m−1, CoF of 0.38421 and 400 J m−1.
  • A review of various applications of Internet of Things with related security issues and challenges
    T. Ragupathi, A. Arul Prakash, S. Vignesh, R. Rahin Batcha, D. Saravanan, Vijay Ramalingam, K. P. Yuvaraj
    Online Social Networks in Business Frameworks, 2024
    The Internet of Things (IoT) is an initiative that aims to build a global network of objects or things that can communicate with one another and will play an important part in the development of the future internet. Things of this nature will be able to be read, recognized, located, addressed, and controlled through the use of the internet. Trust in the Internet of Things’ (IoT) security architecture is necessary for widespread adoption of the Internet of Things among consumers and business professionals. It is of the utmost importance to describe how the Internet of Devices things could communicate with one another and with remote servers in an effective and safe manner in order to share information. The Internet of Things introduces new privacy and security concerns that need to be taken into account during the design phase of security solutions. The heterogeneous nature of IoT communications and the disparity in the capabilities of resources between IoT devices make it difficult to provide the necessary end-to-end secured connections. Because the majority of IoT devices have limited capabilities in terms of computing power, energy consumption, and memory, the potential choices of security solutions are restricted. This is because many well-established security techniques cannot be supported by low capable devices. This article presents review of various applications of internet of things with related security issues and challenges.
  • Experimental Investigation on the Mechanical Properties of Date Seed and Neem Gum Powder Added Natural Composites
    D. DINESH, K.P. Boopathiraja, G. Rajamurugan, R. Ramamoorthi, K.P. Yuvaraj, N. Babu
    SAE Technical Papers, 2024
    <div class="section abstract"><div class="htmlview paragraph">The experimental investigation aims to improve natural composite materials aligned with feasible development principles. These composites can be exploited across several industries, including the automobile and biomedical sectors. This research employs date seed powder and neem gum powder as reinforcing agents, along with polyester resin as the base material. The fabrication route comprises compression moulding, causing the production of the natural composite material. This study focuses extensively on mechanical characteristics such as tensile strength, flexural strength, hardness, and impact resistance to undergo comprehensive testing. Furthermore, the chemical properties of the composites are examined using the FTIR test to gain understanding by integrating different proportions of date seed powder (5%, 10%, 15%, and 20%) and neem gum powder (0%, 3%, 6%, and 9%) in the matrix phase. These investigation goals are to evaluate the strength and performance of the fabricated composite materials. The results acquired from these evaluations contribute to identifying the finest loading situations that can be efficiently applied in real-time applications.</div></div>
  • Conversational Chatbot With Object Recognition Using Deep Learning and Machine Learning
    A. Mahesh Babu, Malik Jawarneh, José Luis Arias‐Gonzáles, Meenakshi, Kishori Kasat, K.P. Yuvaraj
    Conversational Artificial Intelligence, 2024
    In the field of computer vision, the identification of an object offers evolving and challenging difficulties. Visual object identification is a common and automatic biological visual function for humans, but it is challenging for computers. Object recognition is a significant difficulty in computer vision because of the substantial diversity in images of objects in the same class under different viewing conditions. Object recognition has a wide range of uses, including in the fields of biometrics, defense, robotics, visual surveillance, and driving assistance. This article presents a chatbot framework for object detection. This proposed framework makes use of image processing and deep learning techniques. Three classification techniques—support vector machine, AdaBoost, and convolutional neural network (CNN)—are used in the proposed framework. COCO dataset is used to perform experiments. The experimental results have shown that the CNN algorithm is providing the best results in object detection.
  • Evaluating the Wear and Mechanical Properties of Cotton Fabrics for Women’s Summer Clothing †
    Natrayan Lakshmaiya, Kunnathur Periyasamy Yuvaraj, Seeniappan Kaliappan, Vinay Kumar Reddy, Haleem Mohammed Ali
    Engineering Proceedings, 2024
    Recyclable yarn has become increasingly significant because of growing environmental consciousness and the necessity to acquire or enhance the qualities of woven materials in the years to come. A cotton yarn’s tensile strength, rip strength, and permeability to air were examined to obtain the intended outcomes. The experiment was carried out on specimens with almost identical structures, and the impact of the weaving and various weft materials was evaluated. This endeavor aims to find the right blend or blends of regenerated fibers to substitute 100% cotton garments. The mechanical strength and physiological characteristics of Tencel textiles mixed with other regenerate cellulose yarns were compared to those of 100% cotton to attain the same or possibly superior end qualities. Thus, cotton fibers, viscosity, Tencel, modal, and hemp were used. Standard thread counts of 20 tex were used to make mixed plain woven textiles made of 100% cotton and 50:50 mixes of Tencel with other regenerating materials. The ergonomic qualities, such as air permeability, and mechanical characteristics (tension and tearing assets, pilling, abrasion resistance, and warp- and weft-wise) were assessed. It has been discovered that textiles combined with Tencel perform better than cotton ones. Consequently, it may be said that 100% cotton textiles can be replaced with a Tencel combination, using these regenerating fibers.
  • Cross-Platform Multimodal Frogeye Leaf Spot Recognition and Classification: Advancing with Cutting-Edge CNN Technologies and Transfer Learning in Diverse Plant Species
    G. Mohan, R Usharani, Vatsala Tomar, Arthi A, Suniti Kumar Kuriyal, K.P. Yuvaraj
    Proceedings of International Conference on Circuit Power and Computing Technologies Iccpct 2024, 2024
    Frogeye Leaf Spot, a common agricultural disease, poses a significant threat to crop yields. Using multimodal data from different platforms successfully has been a hurdle for existing research in leaf spot detection. Using cutting-edge convolutional neural network (CNN) and transfer learning techniques, this research presents a Cross-Platform Multimodal Recognition system to solve this issue. With a recall of 0.88, F1-score of 0.90, accuracy of 0.91, and precision of 0.92, the suggested method demonstrates exceptional performance. Our accuracy is 6% higher, F1-score is 8% higher, and recall is 9% higher than the preceding state-of-the-art, according to comparisons with previous studies. Improved Frogeye Leaf Spot detection on many platforms is a direct result of our method's success in combining picture and sensor data. This study improves farmers' ability to identify diseases and provides a solid answer for precision agriculture. Our Cross-Platform Multimodal Recognition system has shown to be effective in enhancing agricultural disease recognition, and the shown advances highlight its potential influence on crop management tactics.
  • METEOROLOGICAL AND GEOSPATIAL ANALYSIS-BASED INTEGRATED MACHINE LEARNING FOR ACCURATE AIR QUALITY FORECASTING
    Journal of Environmental Protection and Ecology, 2024
  • ELECTROCHEMICAL OXIDATION PROCESS INTENSIFICATION USING NOVEL ELECTRODE MATERIALS FOR ENHANCED POLLUTANT DEHYDRATION
    Oxidation Communications, 2024
  • Optimization of tribological behavior of Aluminium (A356) composites using TGRA technique
    Suvvari Chinni Krishna Venkata Ramana Murty Naidu, Suresh Vellingiri, Saravana Murthi Chinnasamy, Shanmugasundaram Brindavanam, Allwin Ebinesar Jacob Samuel Sehar, Srinivasnaik Mukuloth, Yuvaraj Kunnathur Periyasamy, Jitendra Mohan Giri, Javvadi Eswara Manikanta
    Revista Materia, 2024
  • Exploring the effects of self-lubricating MoS2 in magnesium metal matrix composite: Investigation on wear, corrosion, and mechanical properties
    K.T. Aliasker, P.M. Gopal, S. Naveen, S. Madhu, K.P. Yuvaraj
    Colloids and Surfaces A Physicochemical and Engineering Aspects, 2023
  • An experimental method for choosing the tool pin profile and shoulder size to join dissimilar aluminum alloys AA7075-T651 and AA6061-T6 joints
    K P Yuvaraj, A Shobana, Nitish Kaushik, Addisu Boshe Botto, Sanjay Kumar Jha
    Materials Research Express, 2023
  • Impact of ultrasonic vibration power and tool pin profile on mechanical and microstructural behaviour of friction stir welded dissimilar aluminium alloy joints
    Yuvaraj K.P., Joshua Gnana Sekaran J., Shanmugam A.
    Aircraft Engineering and Aerospace Technology, 2023
  • Estimation of Tropical Cyclone Intensity from Satellite Data Using Self Attentive - TCNN-BiGRU Approach
    Trilok Suthar, Tejas Shah, Hemant Singh Pokhariya, S. Ranichandra, V. Kalpana, K.P. Yuvaraj
    Proceedings of the 5th International Conference on Inventive Research in Computing Applications Icirca 2023, 2023
  • Auto Encoder and PMU Applied Electricity Theft Detection in Smart Grids
    Murali Karri, A. S. S. Murugan, M. Muthuvinayagam, Anand Goswami, Jayalakshmi V, K. P. Yuvaraj
    Proceedings of the 2023 2nd International Conference on Augmented Intelligence and Sustainable Systems Icaiss 2023, 2023
  • Mechanical behaviour of friction stir welded AA7075-T651 and AA6063-T6 joints - an experimental study
    K.P. Yuvaraj, D.F. Melvin Jose, R. Sivasankaran, Nitish Kaushik, R. Karuppasamy, C. Shanthi
    Materials Today Proceedings, 2022
  • Influence of process parameters on microstructure and mechanical properties of friction stir welded dissimilar joint
    K.P. Yuvaraj, Naveen Kumar Gurajala, Nitish Kaushik, K. Balachandar, L. Muthu Vasannth, C. Shanthi
    Materials Today Proceedings, 2022
  • Microstructure and Mechanical Behaviour of Ti-6Al-4V Matrix Reinforced with WCp Developed by Squeeze Casting
    R. Sivakumar, B. R. Senthil Kumar, G. Gopalarama Subramaniyan, M. Sivaraja, M. P. Natarajan, Pravin P. Patil, S. Kaliappan, K. P. Yuvaraj, Kassie Jemberu Abebe
    Journal of Nanomaterials, 2022
  • Wear Behavior and FESEM Analysis of LM 25 Alloy MMHCs Reinforced with FE3O4and Gr by Utilizing Taguchi's Technique
    G. Gokilakrishnan, R. Sathishkumar, N. S. Sivakumar, S. Kaliappan, S. Sekar, Pravin P. Patil, Ram Subbiah, K. P. Yuvaraj, Feleke Worku Tadesse
    Journal of Nanomaterials, 2022
  • Impact of AlN-SiC Nanoparticle Reinforcement on the Mechanical Behavior of Al 6061-Based Hybrid Composite Developed by the Stir Casting Route
    S. Kaliappan, A. Shanmugam, Pradeep Johnson, M. Karthick, S. Sekar, Pravin P. Patil, M. K. S. Sai, K. P. Yuvaraj, Venkatesan Govindaraajan
    Advances in Materials Science and Engineering, 2022
  • Optical Microstructure, FESEM, Microtensile, and Microhardness Properties of LM 25-B4Cnp-Grnp Hybrid Composites Manufactured by Selective Laser Melting
    M. Babu, S.R. Venkataraman, Putta Nageswara Rao, Venkateswara Rao, S. Kaliappan, Pravin P Patil, S. Sekar, K.P. Yuvaraj, Arundeep Murugan
    Advances in Materials Science and Engineering, 2022
  • Optimization of FSW tool parameters for joining dissimilar AA7075-T651 and AA6061 aluminium alloys using Taguchi Technique
    K.P. Yuvaraj, P. Ashoka Varthanan, L. Haribabu, R. Madhubalan, K.P. Boopathiraja
    Materials Today Proceedings, 2021
  • Characterization and surface modification on composites by friction stir processing - A review
    K.P. Boopathiraja, R. Ramamoorthi, V. Vadivel Vivek, K. Vickram, S. Vinodh Kumar, K.P. Yuvaraj
    Materials Today Proceedings, 2021
  • Retraction Note to: Effect of Material Position and Ultrasonic Vibration on Mechanical Behaviour and Microstructure of Friction Stir-Welded AA7075-T651 and AA6061 Dissimilar Joint (Transactions of the Indian Institute of Metals, (2018), 71, 10, (2575-2591), 10.1007/s12666-018-1389-6)
    Yuvaraj Kunnathur Periyasamy, Ashoka Varthanan Perumal, Darshan Rajasekaran
    Transactions of the Indian Institute of Metals, 2020
  • An investigation of the impact of axial force on friction stir-welded AA5086/AA6063 on microstructure and mechanical properties butt joints
    R. Ramamoorthi, K.P. Yuvaraj, C. Gokul, S.J. Eashwar, N. Arunkumar, S. Abith Tamil Dheen
    Materials Today Proceedings, 2020
  • Optimization of process parameters on friction stir welding of AA7075-T651 and AA6061 joint using response surface methodology
    Yuvaraj Kunnathur Periyasamy, Ashoka Varthanan Perumal, Boopathiraja Kunnathur Periyasamy
    Materials Research Express, 2019
  • Influence of Tool Shoulder Concave Angle and Pin Profile on Mechanical Properties and Microstructural Behaviour of Friction Stir Welded AA7075-T651 and AA6061 Dissimilar Joint
    Yuvaraj Kunnathur Periyasamy, Ashoka Varthanan Perumal, Boopathiraja Kunnathur Periyasamy
    Transactions of the Indian Institute of Metals, 2019
  • Effect of Material Position and Ultrasonic Vibration on Mechanical Behaviour and Microstructure of Friction Stir-Welded AA7075-T651 and AA6061 Dissimilar Joint
    Yuvaraj Kunnathur Periyasamy, Ashoka Varthanan Perumal, Darshan Rajasekaran
    Transactions of the Indian Institute of Metals, 2018
  • Influence of post-welding heat treatment on mechanical and microstructural behavior of friction stir welded AA7075-T651 and AA6061 dissimilar joints
    Kunnathur Periyasamy Yuvaraj, P. Ashoka Varthanan, K. P. Boopathiraja
    High Temperature Material Processes, 2018
  • Effect of friction stir welding parameters on mechanical and micro structural behaviour of AA7075-T651 and AA6061 dissimilar alloy joint
    K.P. Yuvaraj, P. Ashoka Varthanan, C. Rajendran
    International Journal of Computational Materials Science and Surface Engineering, 2018
  • Experimental investigation and optimization of friction stir welding process -a review
    K.P. Yuvaraj, B. Senthilkumar
    Applied Mechanics and Materials, 2014
  • Optimization of metal removal rate and surface roughness on wire EDM using taguchi method
    IEEE International Conference on Advances in Engineering Science and Management Icaesm 2012, 2012

RECENT SCHOLAR PUBLICATIONS

  • Multimodal learning for autonomous systems and robotics
    J Lekha, BM Preethi, KP Yuvaraj, AP Chery
    Multimodal Learning Using Heterogeneous Data, 193-215 , 2026
    2026
  • Tailoring the Properties of Al7055 Alloy through Titanium Diboride and Graphene Oxide Reinforcements: Development and Characterization
    AK Dorairaj, S Vellingiri, SB Pendyala, KP Yuvaraj
    Journal of Materials Engineering and Performance, 1-18 , 2025
    2025
  • A detailed study on using novel LM 25 aluminium alloy hybrid metal matrix nanocomposite for nuclear applications
    SCVRM Naidu, S Vellingiri, P Prabhu, BI Hussain, AR Asary, ...
    Recent Patents on Nanotechnology 19 (4), 498-510 , 2025
    2025
    Citations: 3
  • Machine Learning for Sentiment Analysis Using Social Media Scrapped Data
    G Poornima, Meenakshi, M Jawarneh, A Shobana, KP Yuvaraj, UR Pol, ...
    Natural Language Processing for Software Engineering, 143-154 , 2025
    2025
    Citations: 1
  • ELECTROCHEMICAL OXIDATION PROCESS INTENSIFICATION USING NOVEL ELECTRODE MATERIALS FOR ENHANCED POLLUTANT DEHYDRATION.
    J KUMAR, JV RAMANA, SS PADAIYATCHI, SV PRASAD, J JELSTEEN, ...
    Oxidation Communications 47 (4) , 2024
    2024
  • Effect of nanoparticles reinforcement of Silicon dioxide derived from Prosopis Juliflora on silver-grey magnesium nanocomposite: Utilization of silicon dioxide mechanical and …
    M Arundeep, V Suresh, M Srinivasnaik, KP Yuvaraj
    Materials Research Express 11 (10), 106502 , 2024
    2024
    Citations: 4
  • Effect of nanoparticles reinforcement of Silicon dioxide derived from natural agriculture waste prosopis juliflora on Silver-Grey Magnesium nanocomposite: Utilization of …
    M Arundeep, V Suresh, M Srinivasnaik, KP Yuvaraj
    2024
    Citations: 2
  • Experimental Investigation on the Mechanical Properties of Date Seed and Neem Gum Powder Added Natural Composites
    D DINESH, KP Boopathiraja, G Rajamurugan, R Ramamoorthi, ...
    International Conference on Trends in Automotive Parts Systems and Applications , 2024
    2024
  • Conversational Chatbot With Object Recognition Using Deep Learning and Machine Learning
    A Mahesh Babu, M Jawarneh, JL Arias‐Gonzáles, Meenakshi, K Kasat, ...
    Conversational Artificial Intelligence, 335-352 , 2024
    2024
  • Evaluating the Wear and Mechanical Properties of Cotton Fabrics for Women’s Summer Clothing
    N Lakshmaiya, KP Yuvaraj, S Kaliappan, VK Reddy, HM Ali
    Engineering Proceedings 61 (1), 15 , 2024
    2024
    Citations: 1
  • Exploring the effects of self-lubricating MoS2 in magnesium metal matrix composite: investigation on wear, corrosion, and mechanical properties
    KT Aliasker, PM Gopal, S Naveen, S Madhu, KP Yuvaraj
    Colloids and Surfaces A: Physicochemical and Engineering Aspects 677, 132362 , 2023
    2023
    Citations: 33
  • An experimental method for choosing the tool pin profile and shoulder size to join dissimilar aluminum alloys AA7075-T651 and AA6061-T6 joints
    KP Yuvaraj, A Shobana, N Kaushik, AB Botto, SK Jha
    Materials Research Express 10 (11), 116515 , 2023
    2023
    Citations: 1
  • Auto Encoder and PMU Applied Electricity Theft Detection in Smart Grids
    M Karri, ASS Murugan, M Muthuvinayagam, A Goswami, KP Yuvaraj
    2023 Second International Conference on Augmented Intelligence and … , 2023
    2023
    Citations: 5
  • Impact of ultrasonic vibration power and tool pin profile on mechanical and microstructural behaviour of friction stir welded dissimilar aluminium alloy joints
    Y KP, S A
    Aircraft Engineering and Aerospace Technology 95 (5), 685-696 , 2023
    2023
    Citations: 5
  • Autonomous Roadside Cleaning Robot
    KP Yuvaraj
    IN Patent 202,241,001,269 , 2022
    2022
  • Optical Microstructure, FESEM, Microtensile, and Microhardness Properties of LM 25-B4Cnp-Grnp Hybrid Composites Manufactured by Selective Laser Melting
    AM M. Babu,1 S.R. Venkataraman,2 Putta Nageswara Rao ,3 Venkateswara Rao ,4 ...
    Advances in Materials Science and Engineering 2022 , 2022
    2022
    Citations: 3
  • Research Article Microstructure and Mechanical Behaviour of Ti-6Al-4V Matrix Reinforced with WCp Developed by Squeeze Casting
    R Sivakumar, BRS Kumar, GG Subramaniyan, M Sivaraja, MP Natarajan, ...
    Dimension (dia× length mm) 30, 100 , 2022
    2022
  • Microstructure and Mechanical Behaviour of Ti‐6Al‐4V Matrix Reinforced with WCp Developed by Squeeze Casting
    R Sivakumar, BRS Kumar, GG Subramaniyan, M Sivaraja, MP Natarajan, ...
    Journal of Nanomaterials 2022 (1), 6381265 , 2022
    2022
    Citations: 5
  • Impact of AlN‐SiC Nanoparticle Reinforcement on the Mechanical Behavior of Al 6061‐Based Hybrid Composite Developed by the Stir Casting Route
    S Kaliappan, A Shanmugam, P Johnson, M Karthick, S Sekar, PP Patil, ...
    Advances in Materials Science and Engineering 2022 (1), 1399618 , 2022
    2022
    Citations: 20
  • Mechanical behaviour of friction stir welded AA7075-T651 and AA6063-T6 joints-an experimental study
    KP Yuvaraj, DFM Jose, R Sivasankaran, N Kaushik, R Karuppasamy, ...
    Materials Today: Proceedings 68, 2653-2657 , 2022
    2022
    Citations: 7

MOST CITED SCHOLAR PUBLICATIONS

  • Optimization of FSW tool parameters for joining dissimilar AA7075-T651 and AA6061 aluminium alloys using Taguchi Technique
    KP Yuvaraj, PA Varthanan, L Haribabu, R Madhubalan, KP Boopathiraja
    Materials today: proceedings 45, 919-925 , 2021
    2021
    Citations: 60
  • An investigation of the impact of axial force on friction stir-welded AA5086/AA6063 on microstructure and mechanical properties butt joints
    R Ramamoorthi, KP Yuvaraj, C Gokul, SJ Eashwar, N Arunkumar, ...
    Materials Today: Proceedings 37, 3159-3163 , 2021
    2021
    Citations: 34
  • Exploring the effects of self-lubricating MoS2 in magnesium metal matrix composite: investigation on wear, corrosion, and mechanical properties
    KT Aliasker, PM Gopal, S Naveen, S Madhu, KP Yuvaraj
    Colloids and Surfaces A: Physicochemical and Engineering Aspects 677, 132362 , 2023
    2023
    Citations: 33
  • Influence of tool shoulder concave angle and pin profile on mechanical properties and microstructural behaviour of friction stir welded AA7075-T651 and AA6061 dissimilar joint
    Y Kunnathur Periyasamy, AV Perumal, B Kunnathur Periyasamy
    Transactions of the Indian Institute of Metals 72 (4), 1087-1109 , 2019
    2019
    Citations: 32
  • Optimization of Metal removal rate and surface roughness on wire EDM using Taguchi method
    SRN Aravind, S Sowmya, KP Yuvaraj
    IEEE-International Conference On Advances In Engineering, Science And … , 2012
    2012
    Citations: 22
  • Impact of AlN‐SiC Nanoparticle Reinforcement on the Mechanical Behavior of Al 6061‐Based Hybrid Composite Developed by the Stir Casting Route
    S Kaliappan, A Shanmugam, P Johnson, M Karthick, S Sekar, PP Patil, ...
    Advances in Materials Science and Engineering 2022 (1), 1399618 , 2022
    2022
    Citations: 20
  • Effect of friction stir welding parameters on mechanical and micro structural behaviour of AA7075-T651 and AA6061 dissimilar alloy joint
    KP Yuvaraj, PA Varthanan, C Rajendran
    International Journal of Computational Materials Science and Surface … , 2018
    2018
    Citations: 13
  • Wear Behavior and FESEM Analysis of LM 25 Alloy MMHCs Reinforced with FE 3 O 4 and Gr by Utilizing Taguchi’s Technique
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  • Impact of ultrasonic vibration power and tool pin profile on mechanical and microstructural behaviour of friction stir welded dissimilar aluminium alloy joints
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    Advances in Materials Science and Engineering 2022 , 2022
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  • Experimental Investigation and Optimization of Friction Stir Welding Process-A Review
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    Applied Mechanics and Materials 550, 39-47 , 2014
    2014
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