Kaladari Adarsha Kumar

@gitam.edu

Assistant Professor and Department of Mechanical Engineering
GIATM Deemed to be University

Kaladari Adarsha Kumar


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https://researchid.co/adarsh301

EDUCATION

M.Tech (IIT M), Ph.D.,

RESEARCH INTERESTS

Manufacturing and Material Processing
Tool Condition Monitoring systems
Computer Integrated Manufacturing
Non- conventional Machining Processes
11

Scopus Publications

131

Scholar Citations

6

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Effect of tungsten carbide/ cobalt powder metallurgy tool electrode produced by nano/micron particles on wear and corrosion resistance of surfaces produced by electric discharge machining
    Pujari Srinivasa Rao, Dora Siva Prasad, Nadimpalli Sarada Purnima, Kaladari Adarsha Kumar
    Powder Metallurgy, 2026
    Powder metallurgy (P/M) electrodes used in electric discharge machining (EDM) often exhibit higher surface roughness (SR) than their solid, ground counterparts, particularly when fabricated from micron-scale powders. This adversely affects friction, wear, and corrosion resistance. These challenges can be addressed by carefully selecting suitable electrode materials. In EDM, key electrode attributes such as material type, composition, and particle size (PS) are crucial in enhancing process performance. In this study, tungsten carbide (WC)/ cobalt (Co) P/M electrodes were developed with PSs varied from the micron to the nano-scale to investigate their effect on EDM performance. The findings indicated that wear and corrosion behaviour were strongly influenced by the PS used to fabricate the tool electrode. Due to their low thermal conductivity and high surface reactivity, nanoparticle-based electrodes promoted greater surface alloying, reduced arcing, and enhanced process stability. The machine tool parameters also altered the size of the surface features such as cavities, globules, and micro-cracks. Consequently, wear and corrosion resistance improved by 77.92% and 84.27%, respectively, due to the formation of carbides and oxides, and microstructural modifications on the machined surface. The results are correlated with the coefficient of friction, SR, hardness, white layer thickness, and microstructural changes, elucidating the mechanisms behind the improved surface characteristics.
  • Vision-integrated supervisory control and data acquisition for weld bead control in wire arc additive manufacturing
    Kaki Venkata Rao, Yekula Prasanna Kumar, Perumalla Bala Guru Satya Narasimha Murthy, Kaladari Adarsha Kumar, Kumchala Balakrishna Reddy, Velamala Rambabu
    International Journal of Advanced Manufacturing Technology, 2026
  • Optimization of dry sliding wear and hardness characteristics of AL-5083 metal matrix composites reinforced with SiC, Mg, AND Sr particles
    Praveen Kumar Thanikonda, Govada Rambabu, Ratnam Ch, Adarsha Kumar Kaladari
    Engineering Research Express, 2025
    This work provides an investigation of the dry slide wear properties and Brinell hardness test results for a stir-cast aluminum alloy, namely Al-5083, that has been reinforced with Silicon Carbide (SiC) Magnesium (Mg) and Strontium (Sr) particles. During the synthesis process, various weight percentages of SiC (2–12 wt%), Mg (2–12 wt%), and Sr (0.02–0.12 wt%) particles were used. An investigation was carried out to analyse the properties of wear in both the aluminum alloy and its composites. A pin-on-disc testing equipment was used to subject them to a wear test. The effect of wear factors on metal matrix composites (MMCs) dry sliding wear was studied, including factors such as, sliding speed, applied load, slide-distance, and 0%–12% of reinforcement. Results were systematically gathered by performing a sequence of experiments utilizing Taguchi’s methodology as per ASTM standards. To better model nonlinear behavior and enhance prediction, a supervised Machine Learning model-baseline Random Forest Regression-was introduced, achieving an R 2 value of 0.954. This integration of data-driven modelling enhances the novelty of the study compared with traditional methods such as ANOVA, Taguchi’s L7 design, and linear regression approaches. Tests were conducted to compare the experimental outcomes predicted by the aforementioned connection.
  • Multi-criteria optimization of Al2O3-ZrO2(Y2O3)-based self-lubricating composite cutting tools for increasing shear angle, and wear resistance in machining processes
    Bagadi Pradeep Kumar, Pujari Srinivasa Rao, Adarsha Kumar K, Durga Janaki Venkatesh
    Engineering Research Express, 2024
    In the present investigation, self-lubricating cutting tools were fabricated by adding various elements such as NiCr, Ag, Mo, SrSO4, and CaF2 to Zirconia Toughened Alumina in order to overcome the difficulties that occurred in dry machining. Three significant process parameters; cutting speed (50, 125, 200, and 275 m/min), feed rate (0.1 and 0.2 mm/rev), and depth of cut (0.1 and 0.2 mm) were selected for the machining process. The performance measures such as chip thickness ratio, shear angle, and tool wear, were investigated. The experimental runs were conducted with Taguchi L8 mixed-level orthogonal array. Technique for Order of Preference by Similarity to Ideal Solution is a multi-criteria decision-making method used to determine the best alternative from a set of options. Turning experiments have been performed on the AISI 4340 steel workpiece with various combinations of machining parameters. The findings revealed the incorporation of SrSO4 and Mo at 10Wt% and CaF2 at 5Wt% (i.e., self-lubricating cutting tool-4) achieved better mechanical properties and wear resistance due to the formation of a self-lubrication layer on the rake face of the cutting tool. A confirmation experiment is executed in order to verify the outcomes in the end. Finally, there is a noticeable improvement in the outcomes compared to the base cutting tool, i.e., chip thickness ratio is 35.77%, shear angle is 27.31%, and tool wear is 58%. The mechanism for improving performance measures is discussed in detail.
  • FRICTION STIR WELDING TOOL LIFE ASSESSMENT THROUGH FATIGUE ANALYSIS
    Hanuma Taraka, Pankaj Pardeep, Biswas Pankaj, Deepati Anilkumar, Benjeer Indira, Kumar Aadarsh
    Strojnicky Casopis Journal of Mechanical Engineering, 2023
    Friction stir welding is a solid-state joining process used to weld various materials. Tool life is an important consideration when welding strong metals with the Friction stir welding technique (FSW). The current research aims to calculate tool life by mathematical derivation and simulation using ANSYS transient structural analysis. There are two tool materials and five-pin profiles to consider. The calculated tool life using mathematical formulation is within 15% of the simulation outcome. Further changes are made to the simulation to make the tool life estimate more realistic under FSW’s operation. PcBN tool has superior mechanical properties over the tungsten carbide tool, so the procedure started with the tungsten carbide tool. The conical pin profile is giving 31466 cycles of tool life, which is 70 min run time while working at 450 rpm rotational speed. As a result, for high-strength materials joining, the tool must be chosen based on tool life parameters. The addition of a 1.5 mm fillet at the pin-to-shoulder junction has improved the tool life by 1147 cycles. The PcBN tool is simulated with a conical tool with new pin profiles of conical with grooves and cylindrical fillet with grooves. The maximum tool life of 94018 cycles is obtained for the conical PcBN tool.
  • Experimental Studies of Machining Characteristics in the Boring of AISI 4340—An Optimization Approach
    Adarsha Kumar Kaladari, B. S. N. Murthy
    Lecture Notes in Mechanical Engineering, 2023
  • IoT Implementation and Impacts in Agricultural Sector
    Naveen Kumar K, Raj Kumar G.V. S, Praveen Kumar Sekharamantry, M Chandu Jagan Sekhar, Vandrasi Raja Kumar, Adarsh Kumar K
    Proceedings International Conference on Applied Artificial Intelligence and Computing Icaaic 2022, 2022
    In this contemporary era, agriculture industry has grown the tendency of using advanced technological applications in the agricultural activities to enhance sustainability and growth of the industry. IoT is one of the advanced technological applications, which is specifically used by the players of the agriculture industry to attain growth and sustainability. Most importantly, IoT in the agricultural industry is implemented to help farmers in monitoring valuable information like humidity, soil quality, and air temperature with remote sensors. Most importantly, utilisation of IoT in the agricultural industry helps the farmers to improve the level of yields. Apart from these, IoT also helps the farmers to ensure effective planning on efficient irrigation. Overall, implementation of IoT is helpful in making potential harvest forecasts. These aspects are necessary in improving the sustainability and growth of the agricultural industry. Relevant objectives for this research work are developed, which are perfectly aligned with the selected research article. Help of different theories are taken to construct the literature review section of this research article. The researcher of this study has decided to adopt qualitative research methodology in order to achieve the goal of the research. Most importantly, secondary data collection approach has been considered to collect authentic data for this investigative study. In the data analysis and finding's part, different tools of IoT used in agricultural industry have been identified. Different associated challenges also have been found out. At last, some potential strategies are recommended to overcome the identified challenges in the findings section of the research.
  • Experimental studies of machining parameters on surface roughness, flank wear, cutting forces and work piece vibration in boring of AISI 4340 steels: modelling and optimization approach
    Kaladari Adarsha Kumar, Chanamala Ratnam, K. Venkata Rao, B. S. N. Murthy
    SN Applied Sciences, 2019
  • An experimental study on boring of Inconel 718 and multi response optimization of machining parameters using Response Surface Methodology
    Ch. Ratnam, K. Adarsha Kumar, B.S.N Murthy, K. Venkata Rao
    Materials Today Proceedings, 2018
  • Taguchi based optimization of process parameters in orthogonal turn milling of ASTM B139
    GHV Prasad Babu, BSN Murthy, K. Venkata Rao, K. Adarsh Kumar
    Materials Today Proceedings, 2017
  • Fault Diagnosis of Cantilever Beam Using Finite Element Analysis: A Case Study
    B. S. N. Murthy, C. Ratnam, K. A. Kumar
    Journal of the Institution of Engineers India Series C, 2013

RECENT SCHOLAR PUBLICATIONS

  • Characterization and Performance Assessment of HVOF Sprayed Tribaloy Coating Subjected to Cyclic Oxidation and Hot Corrosion Conditions
    SS Kumar, S Sreenivas, CD Prasad, B Sachin, PK Soni, BND Kumar, ...
    Journal of Alloys and Metallurgical Systems, 100244 , 2026
    2026
  • Effect of cobalt variation on microstructural and erosion performance of HVOF-sprayed WC–Co-Cr-Ni hard-faced coatings
    U Harish, M Mruthunjaya, RR Chakule, SJ Aswar, CD Prasad, S Balaji, ...
    Journal of Materials Science: Materials in Engineering 20 (1), 73 , 2025
    2025
    Citations: 9
  • Evaluation of the Mechanical and Machining Behavior of Hastelloy Material
    P Chiranjeevi, BSN Murthy, KA Kumar, CD Prasad, C Rathod, KAJ Kumar
    Journal of The Institution of Engineers (India): Series D, 1-7 , 2025
    2025
    Citations: 1
  • AVETrends in Intelligent Health Letters
    S Baswaraju, KAJ Kumar, T Karthikeyan, S Venkatasubramanian, ...
    2025
  • BIOACTIVE LEAVES EXTRACTS FROM EUCALYPTUS AND POPLAR IN MODULATING RUMEN FERMENTATION FOR REDUCING ENTERIC METHANE EMISSION IN BUFFALO (BUBALUS BUBALIS)
    K KUMAR, A DEY, MK ROSE, PC LAILER
    INDIAN JOURNAL OF ANIMAL HEALTH 63 , 2024
    2024
  • APPLICATION OF RSM FOR PARAMETRIC OPTIMIZATION OF AJM MACHINED HASTELLOY C- 276
    KAK P. Chiranjeevi , B.S.N. Murthy
    JOURNAL OF AERONAUTICAL MATERIALS 43 (01), 913-923 , 2023
    2023
  • Fabrication and post processing techniques to enhance the strength of Al-Si alloy
    KAJ Kumar, CM Ramesha, MK Srinath, B Navaneeth
    Materials Today: Proceedings 59, 483-488 , 2022
    2022
    Citations: 9
  • Effect of Dietary Cation-Anion Difference on Milk Composition and Blood Mineral Status of Peripartum Buffaloes
    RN Patel, PC Lailer, PK Soni, K Kumar, S Bhardwaj
    Current Journal of Applied Science and Technology 39 (36), 79-88 , 2020
    2020
    Citations: 1
  • Significance of vitamin A and e during periparturient period in dairy cows and buffaloes-a review.
    Vipin, PK Soni, K Kumar, P Singh, MK Ghosh
    2020
  • SIGNIFICANCE OF VITAMIN A AND E DURING PERIPARTURIENT PERIOD IN DAIRY COWS AND BUFFALOES-A REVIEW
    PK SONI, K KUMAR, P SINGH, MK GHOSH
    INDIAN JOURNAL OF ANIMAL HEALTH 59 (2), 125-136 , 2020
    2020
  • Design and analysis of connecting rod for weight and stress reduction
    BSN Murthy, KA Kumar, MA Shafeeq, SSS Praveen
    International Journal of Engineering Research & Technology 7 (3), 2278-0181 , 2019
    2019
    Citations: 5
  • EXPERIMENTAL INVESTIGATIONS ON SURFACE ROUGHNESS, FLANK WEAR, CUTTING FORCES AND WORK PIECE VIBRATION IN BORING OF INCONEL 718 - MODELING AND OPTIMIZATION APPROACH
    BSNMKVRAO K. ADARSHA KUMAR, Ch. RATNAM
    International Journal of Mechanical and Production Engineering Research and … , 2019
    2019
  • Experimental studies of machining parameters on surface roughness, flank wear, cutting forces and work piece vibration in boring of AISI 4340 steels: modelling and optimization …
    KA kumar, C Ratnam, KV Rao, BSN Murthy
    SN Applied Sciences 1 (1), 26 , 2019
    2019
    Citations: 35
  • Effect of supplementing Tinospora cordifolia in the diet of Gaddi goats exposed to heat stress on nutrient intake, utilization and physiological parameters
    PK Soni, R Bhar, RN Patel, K Kumar, BUD Shafi
    Journal of Entomology and Zoology Studies 6 (4), 271-275 , 2018
    2018
    Citations: 5
  • An experimental study on boring of Inconel 718 and multi response optimization of machining parameters using Response Surface Methodology
    C Ratnam, KA Kumar, BSN Murthy, KV Rao
    Materials Today: Proceedings 5 (13), 27123-27129 , 2018
    2018
    Citations: 9
  • Taguchi based optimization of process parameters in orthogonal turn milling of ASTM B139
    GHVP Babu, BSN Murthy, KV Rao, KA Kumar
    Materials Today: Proceedings 4 (2), 2147-2156 , 2017
    2017
    Citations: 8
  • Warthin-like variant of papillary thyroid carcinoma: A diagnosis not to be missed
    G Shilpa, R Yashaswini, C Prasad, K Kumar
    Clinical Cancer Investigation Journal 4 (3-2015), 381-383 , 2015
    2015
    Citations: 2
  • Fault Diagnosis of Cantilever Beam Using Finite Element Analysis: A Case Study
    BSN Murthy, C Ratnam, KA Kumar
    Journal of The Institution of Engineers (India): Series C 94 (4), 385-391 , 2013
    2013
  • Building capabilities for radical innovation in MNC subsidiaries: A dual process mode
    P Soni, K Kumar
    2013
  • Damping factor of composite plate using lamb wave method
    BA Ben, BS Ben, A Kumar, BSN Murthy
    International Journal of Engineering and Innovative Technology (IJEIT) 2, 65-71 , 2012
    2012
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • Optimization of surface roughness in face turning operation in machining of EN-8
    KA Kumar, C Ratnam, BSN Murthy, BS Ben, KRRM Reddy
    International Journal of Engineering Science and emerging technology 2, 807-812 , 2012
    2012
    Citations: 43
  • Experimental studies of machining parameters on surface roughness, flank wear, cutting forces and work piece vibration in boring of AISI 4340 steels: modelling and optimization …
    KA kumar, C Ratnam, KV Rao, BSN Murthy
    SN Applied Sciences 1 (1), 26 , 2019
    2019
    Citations: 35
  • Effect of cobalt variation on microstructural and erosion performance of HVOF-sprayed WC–Co-Cr-Ni hard-faced coatings
    U Harish, M Mruthunjaya, RR Chakule, SJ Aswar, CD Prasad, S Balaji, ...
    Journal of Materials Science: Materials in Engineering 20 (1), 73 , 2025
    2025
    Citations: 9
  • Fabrication and post processing techniques to enhance the strength of Al-Si alloy
    KAJ Kumar, CM Ramesha, MK Srinath, B Navaneeth
    Materials Today: Proceedings 59, 483-488 , 2022
    2022
    Citations: 9
  • An experimental study on boring of Inconel 718 and multi response optimization of machining parameters using Response Surface Methodology
    C Ratnam, KA Kumar, BSN Murthy, KV Rao
    Materials Today: Proceedings 5 (13), 27123-27129 , 2018
    2018
    Citations: 9
  • Taguchi based optimization of process parameters in orthogonal turn milling of ASTM B139
    GHVP Babu, BSN Murthy, KV Rao, KA Kumar
    Materials Today: Proceedings 4 (2), 2147-2156 , 2017
    2017
    Citations: 8
  • Design and analysis of connecting rod for weight and stress reduction
    BSN Murthy, KA Kumar, MA Shafeeq, SSS Praveen
    International Journal of Engineering Research & Technology 7 (3), 2278-0181 , 2019
    2019
    Citations: 5
  • Effect of supplementing Tinospora cordifolia in the diet of Gaddi goats exposed to heat stress on nutrient intake, utilization and physiological parameters
    PK Soni, R Bhar, RN Patel, K Kumar, BUD Shafi
    Journal of Entomology and Zoology Studies 6 (4), 271-275 , 2018
    2018
    Citations: 5
  • Damping factor of composite plate using lamb wave method
    BA Ben, BS Ben, A Kumar, BSN Murthy
    International Journal of Engineering and Innovative Technology (IJEIT) 2, 65-71 , 2012
    2012
    Citations: 3
  • Warthin-like variant of papillary thyroid carcinoma: A diagnosis not to be missed
    G Shilpa, R Yashaswini, C Prasad, K Kumar
    Clinical Cancer Investigation Journal 4 (3-2015), 381-383 , 2015
    2015
    Citations: 2
  • Evaluation of the Mechanical and Machining Behavior of Hastelloy Material
    P Chiranjeevi, BSN Murthy, KA Kumar, CD Prasad, C Rathod, KAJ Kumar
    Journal of The Institution of Engineers (India): Series D, 1-7 , 2025
    2025
    Citations: 1
  • Effect of Dietary Cation-Anion Difference on Milk Composition and Blood Mineral Status of Peripartum Buffaloes
    RN Patel, PC Lailer, PK Soni, K Kumar, S Bhardwaj
    Current Journal of Applied Science and Technology 39 (36), 79-88 , 2020
    2020
    Citations: 1
  • Prevalence of maternal antibody against infectious bursal disease virus in broiler chickens.
    K Kumar, KCP Singh, CB Prasad, SS Singh
    2005
    Citations: 1
  • Characterization and Performance Assessment of HVOF Sprayed Tribaloy Coating Subjected to Cyclic Oxidation and Hot Corrosion Conditions
    SS Kumar, S Sreenivas, CD Prasad, B Sachin, PK Soni, BND Kumar, ...
    Journal of Alloys and Metallurgical Systems, 100244 , 2026
    2026
  • AVETrends in Intelligent Health Letters
    S Baswaraju, KAJ Kumar, T Karthikeyan, S Venkatasubramanian, ...
    2025
  • BIOACTIVE LEAVES EXTRACTS FROM EUCALYPTUS AND POPLAR IN MODULATING RUMEN FERMENTATION FOR REDUCING ENTERIC METHANE EMISSION IN BUFFALO (BUBALUS BUBALIS)
    K KUMAR, A DEY, MK ROSE, PC LAILER
    INDIAN JOURNAL OF ANIMAL HEALTH 63 , 2024
    2024
  • APPLICATION OF RSM FOR PARAMETRIC OPTIMIZATION OF AJM MACHINED HASTELLOY C- 276
    KAK P. Chiranjeevi , B.S.N. Murthy
    JOURNAL OF AERONAUTICAL MATERIALS 43 (01), 913-923 , 2023
    2023
  • Significance of vitamin A and e during periparturient period in dairy cows and buffaloes-a review.
    Vipin, PK Soni, K Kumar, P Singh, MK Ghosh
    2020
  • SIGNIFICANCE OF VITAMIN A AND E DURING PERIPARTURIENT PERIOD IN DAIRY COWS AND BUFFALOES-A REVIEW
    PK SONI, K KUMAR, P SINGH, MK GHOSH
    INDIAN JOURNAL OF ANIMAL HEALTH 59 (2), 125-136 , 2020
    2020
  • EXPERIMENTAL INVESTIGATIONS ON SURFACE ROUGHNESS, FLANK WEAR, CUTTING FORCES AND WORK PIECE VIBRATION IN BORING OF INCONEL 718 - MODELING AND OPTIMIZATION APPROACH
    BSNMKVRAO K. ADARSHA KUMAR, Ch. RATNAM
    International Journal of Mechanical and Production Engineering Research and … , 2019
    2019