omkar kamalakant kulkarni

@mitwpu.edu.in

Assistant Professor
Dr. Vishwanath Karad MIT World Peace University

omkar kamalakant kulkarni


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https://researchid.co/omkarkul9

RESEARCH, TEACHING, or OTHER INTERESTS

Mechanical Engineering, General Engineering, Biomedical Engineering, Engineering
24

Scopus Publications

1050

Scholar Citations

12

Scholar h-index

16

Scholar i10-index

Scopus Publications

  • FORMING LIMIT CURVES ANALYSIS OF THIN NICKEL 200 BIOMATERIAL FOILS: EXPERIMENTAL INSIGHTS
    Наман Сангави, Ишвар Широдкар, Омкар Кулкарни, Ганеш Какандикар
    Russian Journal of Biomechanics, 2026
    Кривая предельного формоизменения – это характеристика материала, отражающая предельную деформацию, при которой происходит разрушение в виде сужения по направлению линии деформирования. В статье рассматриваются пределы пластической деформации и разрушения в месте сужения, а также утолщение очень тонких металлических листов. Работа с материалами толщиной менее 100 микрон представляет собой сложную задачу и требует выской точности. Термин «микроформовка» используется для описания такого рода миниатюризации в процессе формовки, в результате которой получаются детали размером всего в не-сколько миллиметров. При преобразовании макропроцесса в микропроцесс наблюдаются значительные изменения в физике процесса и характеристиках материалов. Для построения графиков пределов деформируемости было проведено экспериментальное испытание тонкого листа Nickel 200 толщиной 50 мкм с различными углами наклона относительно направления прокатки (0°, 45°, 90°). В соответствии со стандартом ASTM-2218-14 испытание на полусферическое микроформование проводится с использованием образцов с одноосной, промежуточной од-ноосной, двухосной и плоской деформацией для определения деформаций. Экспериментальные значения были использованы для проверки численных результатов. Выполнено численное моделирования процесса микроформования и получены кривые предельного формоизменения. Численные результаты были валидированы с помощью экспериментальных наблюдений.
  • MICROFORMING STAINLESS STEEL 304: EXPERIMENTAL AND NUMERICAL INTEGRATION
    Dr. Vishwanath Karad MIT World Peace University, Siddhesh Khatavkar, Ganesh Marotrao Kakandikar, Omar Kulkarni
    Russian Journal of Biomechanics, 2025
    This research investigates the microforming behaviour of SS304 stainless steel, fo-cusing on the influence of rolling direction. Known for its strength and ductility, SS304 is crucial for manufacturing miniaturized components. Experimental analyses involve Nakajima testing on SS304 samples at 0°, 45° and 90° using a universal testing machine, with formability parameters measured using a Sipcon CNC vision measurement system. Parallel numerical simulations with Simufact Forming software generate forming limit curves to predict critical deformation points. Comparative analysis reveals consistent trends in microforming behaviour, highlighting the anisotropic properties of SS304 due to rolling direction. Key findings include critical strain values and microstructural chang-es during forming, which are essential to optimize microforming processes. The integra-tion of both approaches provides a comprehensive understanding of the formability lim-its and deformation mechanisms of SS304. This study highlights the significant potential for the advancement of microforming techniques in various industrial applications, par-ticularly those requiring precise miniaturized components, and highlights the importance of combining experimental and numerical methods for a deep understanding of material behaviour.
  • MICROFORMING STAINLESS STEEL SS304: EXPERIMENTAL AND NUMERICAL INTEGRATION
    , Сиддхеш Хатавкар, Ганеш Какандикар, Омкар Кулкарни
    Russian Journal of Biomechanics, 2025
    Представлено экспериментальное и численное исследование поведения не-ржавеющей стали SS304 в процессе микроформовки, особое внимание уделено влиянию ориентации образцов на деформационные характеристики. Нержавеющая сталь SS304, обладающая оптимальным сочетанием прочности и пластичности, находит широкое применение при изготовлении прецизионных миниатюрных де-талей. Экспериментальная часть включала в себя проведение испытаний по методу Накадзимы для образцов, ориентированных под углами 0°, 45° и 90° к направлению прокатки. Исследования выполнялись на универсальной испытательной машине с последующим анализом параметров деформации с использованием оптико-измерительной системы Sipcon CNC. Численное моделирование осуществлялось в программном комплексе Simufact Forming с построением диаграмм предельного деформирования для прогнозирования критических состояний материала. Результаты исследования демонстрируют выраженную зависимость деформационных характеристик SS304 от ориентации образцов к направлению прокатки, что под-тверждает анизотропные свойства материала. Установлены критические значения деформации и выявлены закономерности изменения микроструктуры в процессе микроформовки, что имеет важное значение для оптимизации технологических параметров. Совместное применение экспериментальных и численных методов позволило получить комплексные данные о пределах формообразования и механизмах деформации SS304. Полученные результаты вносят особый вклад в развитие технологий микроформовки для производства высокоточных миниатюрных компонентов, где требуются строгий контроль свойств материала и точность гео-метрических параметров.
  • Teaching Learning–Based Optimization for Optimizing Process Parameter in Wire Electrical Discharge Machining (WEDM)
    Shalaka Kulkarni, Omkar K. Kulkarni, Samidha A. Jawade, Swanand Pachpore, Ganesh Kakandikar
    Handbook of Smart Manufacturing Technologies Industrial Engineering in the Digital Age, 2025
    The world of nontraditional machining has a valuable machining tool, namely, wire electrical discharge machining (WEDM). WEDM is used widely due to its significant features such as a higher amount of accuracy and superior surface quality, which ultimately leads to higher productivity. WEDM deals with a large number of parameters involved in the process, which makes it tough to gain a correct combination of the optimum settings of parameters, which leads to greater accuracy. The Taguchi method is most extensively applied for the optimization of a single response, as it gives the optimum value of every response. Taguchi’s L25 orthogonal array was used during experimentation. In this chapter, teaching learning–based optimization (TLBO) algorithm is used to optimize the process parameters of the WEDM process for surface roughness ( https://www.w3.org/1998/Math/MathML" display="inline"> R a https://www.w3.org/1999/xlink" xlink:href="https://s3-euw1-ap-pe-df-pch-content-public-p.s3.eu-west-1.amazonaws.com/9781003502647/9cbc5f07-d810-4fdd-979e-073604c01a53/content/ieq0022.tif"/> ) as the response variable. The TLBO algorithm is one of the best algorithms that gives an optimized solution for real-life problems. The TLBO algorithm is based on the old-style teaching learning method of students and teachers. This chapter deals with the influence of various input parameters, which comprise pulse-off time, pulse-on time, wire tension, wire feed, lower flush, and upper flush for the high-carbon, high-chromium steel material and TLBO, which is used to obtain the optimum result of the surface roughness.
  • Parametric optimization of turning process using PVD coated tools: ant lion algorithm approach
    Atul Kulkarni, Prashant Anerao, Christoph Schiffers, Manish Adwani, Omkar Kulkarni, Ganesh Kakandikar
    Powder Metallurgy Characterization Processing and Optimization Techniques, 2025
  • Process Parameter Optimization by Ant Lion Algorithm of Austenitic Stainless Steel (SS 304) for Cutting Force in Turning using PVD-Coated Tools Deposited with TiAlN/TiSiN Coating Materials
    Anindya Deb, Ashok Mache, Gude Venkatesh
    Smart Innovations and Technological Advancements in Civil and Mechanical Engineering, 2024
    Natural fiber-reinforced composites are gaining popularity due to various advantages over commonly used composites such as glass fiber-reinforced composites in terms of environmental friendliness and not posing health hazards. Additionally, such composites can be economic with competitive mechanical properties when compared to synthetic fiber-reinforced composites. Among the many natural fiber-based materials, jute appears to be particularly attractive as it is easily available commercially in the form of woven mats which are convenient for composite manufacturing. The present study is aimed at gaining quantitative information on use of polyester in jute-polyester composites with various proportions of nanoclay (in the range of 3–9% by weight); in particular, attention is paid to the mechanical properties such as elastic modulus and failure strength, which are determined experimentally. Specimens of nanoclay (montmorillonite)reinforced jute–polyester composite for testing are obtained through the 4hand-layup technique supplemented with compression molding. To ensure homogeneous dispersion of nanoclay clusters in polymer matrix, sonication was performed on liquid polyester with a given proportion of modified Indian nanoclay using high-frequency ultrasonic waves. Mechanical properties were determined for jute–polyester composite laminates with various proportions of nanoclay and compared with the baseline case in which no nanoclay was added. The study shows that the addition of nanoclay to polyester results in substantial increase in tensile modulus and strength of jute–polyester composites. Further, improved mechanical properties were obtained by incorporating steel wire mesh (SWM) as reinforcement along with jute fiber in nanoclay-loaded (6 wt%) polyester resin to get jute–polyester–steel wire mesh-nanoclay hybrid composite.
  • Novel product design of tool for investigating formability with microstructural study of bio-material titanium grade-II thin foils
    Omkar Kulkarni, Ganesh Kakandikar
    International Journal on Interactive Design and Manufacturing, 2023
  • Optimization of Flywheel for Reciprocating Air Compressor using Mayfly Algorithm
    Atharva Barhanpurkar, Deepak Hujare, Omkar Kulkarni, Abhijeet Birari
    International Journal of Engineering Trends and Technology, 2023
    Reciprocating Compressors are typically used for low flow rates and high pressures. They are frequently used in mining and other sectors of the pneumatic industry. Flywheel pulleys are one of the key components used in compressors, among many other parts. The method uses a flywheel to buffer energy fluctuations, and a pulley transmits power effectively while slowing down the transmission. During this research, the flywheel's mass is optimized while keeping the moment of inertia the same as that of the old flywheel based on the compressor's requirement. Optimization, also referred to as mathematical programming, is a group of mathematical ideas and strategies for resolving quantitative issues in a variety of fields, such as physics, biology, engineering, economics, and business. A group of novel problem-solving methodologies and approaches that are inspired by natural processes are known as
  • COMPARATIVE ANALYSIS OF PARAMETERS AFFECTING MICRO-FORMING PROCESS
    Janhavi Saklecha, Swanand Pachpore, Omkar Kulkarni, Ganesh Kakandikar
    Engineering Review, 2023
    This review paper provides a comprehensive analysis of the various factors affecting micro-forming and the parameters involved in manufacturing micro-parts. To ensure minimal wear and tear and error-free products, it is important to optimize both the process parameters and framework. The paper aims to highlight the importance of metal micro-forming technology in designing and manufacturing highly precise micro metallic devices, biodegradable implants, micro-pumps, and gears. Through this review paper, readers can gain a better understanding of metal micro-forming, the variables that influence micro-forming and deep drawing, and the process parameters that affect micro-forming and deep drawing technology. Optimizing the process parameters is crucial for the success of micro-forming and can lead to improved product quality, increased production efficiency, cost reduction, process robustness, and improved material properties. The paper specifically discusses the significance of parameters such as blank holder force and size effects on variables that play an important role in optimizing the metal micro-forming process.
  • MICRO FORMING STUDIES OF SS316L AS BIOMEDICAL APPLICATION MATERIAL
    Mohit Bogar, , Omkar Kulkarni, Ganesh Kakandikar
    Russian Journal of Biomechanics, 2023
    The process of shaping flat sheets of metal into necessary shapes without any flaws is known as sheet metal making. Nowadays, there is a growing demand for micro goods and microdevices due to the popularity of miniaturization across many industries. The manufacturing method known as micro forming creates tiny components for various en-gineering uses. Micro-forming can be found in a variety of fields, including automotive, biomedical, and aerospace engineering. Whenever the sheet material’s thickness corre-sponds to ingrained length distribution of the material being used during the micro-forming process, the deformation behavior is different from what is anticipated for the macroscopic sheet material. A material's ability to be formed is one of the crucial pro-cesses, and one of the crucial parameters for determining a material's formability is its forming limit curve or as forming limit diagram. The purpose of this study is plotting Forming Limit Curve for specific biomaterial using numerical simulation and experimenta-tion. For the purpose of determining the forming limit curves, a controlled experiment of thin SS316L sheet of 60 µm thickness with different angles in relation to rolling directions (0°, 45°, 90°) is conducted in the present research. In accordance to ASTM-2218-14 standard test, Nakajima test for micro-forming is done using a specimen of uniaxial, uni-axial intermediate, plane, biaxial intermediate and biaxial strain paths to measure limiting strains. The limit diagram for SS316L is formed using the numerical software Simufact Forming V15, and the findings are then compared with the Nakajima test. The compari-sons between the experimental method with the numerical simulations show good ac-cordance. It was shown that FLC produced by numerical simulation are designed to be 5 % to 12 % less than experimental work and are safe. To examine the physics of the sheet, micro structural studies are also carried out on the test object both prior to and after form-ing. The microstructural study explains the characteristics of the sheet.
  • Micro Forming Studies of SS316L as Biomedical Application Material
    Mohit N. Bogar, Omkar Kulkarni, Ganesh Kakandikar
    Journal of Engineering Science and Technology Review, 2023
  • Design and Volume Optimization of High-Speed Helical Gear Pair by using Cohort Intelligence Algorithm
    Pratik Patil, Shailendra Shisode, Omkar Kulkarni
    International Journal of Engineering Trends and Technology, 2023
  • Formability Assessment with Microstructural Investigations for Zirconium 702 Thin Foils: Bio-Material Applications
    Omkar Kulkarni, Ganesh Kakandikar
    Advances in Materials and Processing Technologies, 2022
  • Recent Developments on 4D Printings and Applications
    Deepalekshmi Ponnamma, M. Sai Bhargava Reddy, Muni Raj Maurya, Omkar Kulkarni, Manikant Paswan, Kishor Kumar Sadasivuni, Mithra M. M. Nair Geetha, Mariam Ali Al-Maadeed
    Shape Memory Composites Based on Polymers and Metals for 4d Printing Processes Applications and Challenges, 2022
  • Experimental and numerical investigations on forming limit curves in micro forming
    Gyan Patel, Kakandikar Ganesh M., Omkar Kulkarni
    Advances in Materials and Processing Technologies, 2020
  • Optimization of Railway Bogie Snubber Spring with Grasshopper Algorithm
    Abhishek G. Neve, Ganesh M. Kakandikar, Omkar Kulkarni, V. M. Nandedkar
    Advances in Intelligent Systems and Computing, 2020
  • Design, optimization and manufacturing of monocomposite carbon/epoxy leaf spring having varying cross sections
    Sushant P. Mhatugade, Ganesh M. Kakandikar, Omkar K. Kulkarni, V.M. Nandedkar
    Advanced Composites, 2020
  • Development of a multi-objective salp swarm algorithm for benchmark functions and real-world problems
    Sushant P. Mhatugade, Ganesh M. Kakandikar, Omkar K. Kulkarni, Vilas M. Nandedkar
    Optimization for Engineering Problems, 2019
  • Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design
    Omkar Kulkarni, Ninad Kulkarni, Anand J. Kulkarni, Ganesh Kakandikar
    International Journal of Parallel Emergent and Distributed Systems, 2018
  • Process Parameter Optimization in WEDM by Grey Wolf Optimizer
    Omkar Kulkarni, Shalaka Kulkarni
    Materials Today Proceedings, 2018
  • Cuckoo Search Optimization- A Review
    A.S. Joshi, Omkar Kulkarni, G.M. Kakandikar, V.M. Nandedkar
    Materials Today Proceedings, 2017
  • Optimization of vibration of collecting plates of electrostatic precipitator through fea
    Harshal Shinde, Akshata Sangle, Sumit Shendkar, Omkar Kulkarni, Ninad Kulkarni, G. M. Kakandikar, V. M. Nandedkar
    Lecture Notes in Mechanical Engineering, 2016
  • Genetic Algorithm and its Applications to Mechanical Engineering: A Review
    Ms. Trupti Bhoskar, Mr. Omkar K. Kulkarni, Mr. Ninad K. Kulkarni, Ms. Sujata L. Patekar, G.M. Kakandikar, V.M. Nandedkar
    Materials Today Proceedings, 2015
  • Particle Swarm Optimization Applications to Mechanical Engineering- A Review
    Mr. Ninad K. Kulkarni, Ms. Sujata Patekar, Ms. Trupti Bhoskar, Mr. Omkar Kulkarni, G.M. Kakandikar, V.M. Nandedkar
    Materials Today Proceedings, 2015

RECENT SCHOLAR PUBLICATIONS

  • Teaching Learning–Based Optimization for Optimizing Process Parameter in Wire Electrical Discharge Machining (WEDM)
    S Kulkarni, OK Kulkarni, SA Jawade, S Pachpore, G Kakandikar
    Handbook of Smart Manufacturing Technologies, 40-58 , 2026
    2026
  • Parametric optimization of turning process using PVD coated tools: ant lion algorithm approach
    A Kulkarni, P Anerao, C Schiffers, M Adwani, O Kulkarni, G Kakandikar
    Powder Metallurgy, 207-221 , 2026
    2026
  • Microforming stainless steel 304: experimental and numerical integration
    S Khatavkar, GM Kakandikar, O Kulkarni
    Russian Journal of Biomechanics 29 (2), 131-139 , 2025
    2025
    Citations: 2
  • Process Parameter Optimization by an Ant Lion Algorithm of Austenitic Stainless Steel (SS 304) for Cutting Force in Turning Using PVD-Coated Tools Deposited with TiAlN/TiSiN …
    C Schiffers, M Adwani, O Kulkarni, A Kulkarni, G Kakandikar
    Smart Innovations and Technological Advancements in Civil and Mechanical … , 2024
    2024
  • CHRISTOPH SCHIFFERS1, MANISH ADWANI2, OMKAR KULKARNI3
    A KULKARNI, G KAKANDIKAR
    Smart Innovations and Technological Advancements in Civil and Mechanical … , 2024
    2024
  • Mayfly optimization algorithm: a review
    MN Bogar, ID Shirodkar, O Kulkarni, S Jawade, G Kakandikar
    Journal of Mechatronics and Artificial Intelligence in Engineering 5 (1), 17-30 , 2024
    2024
    Citations: 14
  • Novel product design of tool for investigating formability with microstructural study of bio-material titanium grade-II thin foils
    O Kulkarni, G Kakandikar
    International Journal on Interactive Design and Manufacturing (IJIDeM) 17 (5 … , 2023
    2023
    Citations: 12
  • Generation of Isometric Projections in MATLAB
    J Saklecha, S Pachpore, O Kulkarni
    Techno-Societal 2016, International Conference on Advanced Technologies for … , 2023
    2023
    Citations: 1
  • Optimization of Flywheel for Reciprocating Air Compressor using Mayfly Algorithm
    AB Atharva Barhanpurkar, Deepak Hujare, Omkar Kulkarni
    https://ijettjournal.org/ 71 (8), 191-200 , 2023
    2023
  • The Investigations on Formability of Tantalum RO5200 Thin Foils: Bio-Material.
    O Kulkarni, G Kakandikar
    IOP Conference Series: Materials Science and Engineering 1284 (1), 012029 , 2023
    2023
    Citations: 2
  • Comparative analysis of parameters affecting micro-forming process
    J Saklecha, S Pachpore, O Kulkarni, G Kakandikar
    Engineering Review: Međunarodni časopis namijenjen publiciranju originalnih … , 2023
    2023
    Citations: 4
  • Design and Volume Optimization of High-Speed Helical Gear Pair by using Cohort Intelligence Algorithm
    OK Pratik Patil, Shailendra Shisode
    International Journal of Engineering Trends and Technology 71 (11), 247-256 , 2023
    2023
  • Micro Forming Studies of SS316L as Biomedical Application Material
    MN Bogar, O Kulkarni, G Kakandikar
    Journal of Engineering Science and Technology Review 16 (4), 133-141 , 2023
    2023
    Citations: 6
  • An insight review on jellyfish optimization algorithm and its application in engineering
    A Khare, GM Kakandikar, OK Kulkarni
    Journal homepage: http://iieta. org/journals/rces 9 (1), 31-40 , 2022
    2022
    Citations: 24
  • Micro Forming and its Application: A Critical Review
    N Tiwari, G Kakandikar, O Kulkarni
    https://www.jenrs.com/v01/i03/p013 , 2022
    2022
    Citations: 7
  • Formability Assessment with Microstructural Investigations for Zirconium 702 Thin Foils: Bio-Material Applications
    O Kulkarni, G Kakandikar
    Advances in Materials and Processing Technologies, 1-11 , 2022
    2022
    Citations: 13
  • Experimental and numerical investigations on forming limit curves in micro forming
    G Patel, K Ganesh M, O Kulkarni
    Advances in Materials and Processing Technologies 8 (1), 33-44 , 2022
    2022
    Citations: 19
  • Optimization of thermal efficiency of Scheffler solar concentrator receiver using slime mold algorithm
    A Nene, OK Kulkarni
    Computational Intelligence in Manufacturing, 71-86 , 2022
    2022
    Citations: 2
  • Multiverse multiobjective optimization of thinning and wrinkling in automotive connector
    GM Kakandikar, VM Nandedkar, OK Kulkarni
    Computational Intelligence in Manufacturing, 1-22 , 2022
    2022
    Citations: 1
  • The role of mechanical testing in additive manufacturing
    V Agarwal, S Jawade, S Atre, O Kulkarni
    Material Science, Engineering and Applications 1 (2), 21-31 , 2021
    2021
    Citations: 9

MOST CITED SCHOLAR PUBLICATIONS

  • Cuckoo search optimization-a review
    AS Joshi, O Kulkarni, GM Kakandikar, VM Nandedkar
    Materials Today: Proceedings 4 (8), 7262-7269 , 2017
    2017
    Citations: 356
  • Genetic algorithm and its applications to mechanical engineering: A review
    MT Bhoskar, MOK Kulkarni, MNK Kulkarni, MSL Patekar, GM Kakandikar, ...
    Materials Today: Proceedings 2 (4-5), 2624-2630 , 2015
    2015
    Citations: 208
  • Particle swarm optimization applications to mechanical engineering-A review
    MNK Kulkarni, MS Patekar, MT Bhoskar, MO Kulkarni, GM Kakandikar, ...
    Materials Today: Proceedings 2 (4-5), 2631-2639 , 2015
    2015
    Citations: 117
  • Application of grasshopper optimization algorithm for constrained and unconstrained test functions
    AG Neve, GM Kakandikar, O Kulkarni
    Int. J. Swarm Intell. Evol. Comput 6 (3), 1-7 , 2017
    2017
    Citations: 71
  • Constrained cohort intelligence using static and dynamic penalty function approach for mechanical components design
    O Kulkarni, N Kulkarni, AJ Kulkarni, G Kakandikar
    International journal of parallel, emergent and distributed systems 33 (6 … , 2018
    2018
    Citations: 64
  • Process parameter optimization in WEDM by grey wolf optimizer
    O Kulkarni, S Kulkarni
    Materials Today: Proceedings 5 (2), 4402-4412 , 2018
    2018
    Citations: 43
  • An insight review on jellyfish optimization algorithm and its application in engineering
    A Khare, GM Kakandikar, OK Kulkarni
    Journal homepage: http://iieta. org/journals/rces 9 (1), 31-40 , 2022
    2022
    Citations: 24
  • Experimental and numerical investigations on forming limit curves in micro forming
    G Patel, K Ganesh M, O Kulkarni
    Advances in Materials and Processing Technologies 8 (1), 33-44 , 2022
    2022
    Citations: 19
  • Mayfly optimization algorithm: a review
    MN Bogar, ID Shirodkar, O Kulkarni, S Jawade, G Kakandikar
    Journal of Mechatronics and Artificial Intelligence in Engineering 5 (1), 17-30 , 2024
    2024
    Citations: 14
  • Formability Assessment with Microstructural Investigations for Zirconium 702 Thin Foils: Bio-Material Applications
    O Kulkarni, G Kakandikar
    Advances in Materials and Processing Technologies, 1-11 , 2022
    2022
    Citations: 13
  • Process parameters optimization by bat inspired algorithm of CNC turning on EN8 steel for prediction of surface roughness
    CG Burande, OK Kulkarni, S Jawade, GM Kakandikar
    Journal of Mechatronics and Artificial Intelligence in Engineering 2 (2), 73-85 , 2021
    2021
    Citations: 13
  • Novel product design of tool for investigating formability with microstructural study of bio-material titanium grade-II thin foils
    O Kulkarni, G Kakandikar
    International Journal on Interactive Design and Manufacturing (IJIDeM) 17 (5 … , 2023
    2023
    Citations: 12
  • Optimization of railway bogie snubber spring with grasshopper algorithm
    AG Neve, GM Kakandikar, O Kulkarni, VM Nandedkar
    Data Engineering and Communication Technology: Proceedings of 3rd ICDECT … , 2020
    2020
    Citations: 12
  • Optimising fracture in automotive tail cap by firefly algorithm
    GM Kakandikar, O Kulkarni, S Patekar, T Bhoskar
    International Journal of Swarm Intelligence 5 (1), 136-150 , 2020
    2020
    Citations: 12
  • Parameter optimization of AISI 316 austenitic stainless steel for surface roughness by Grasshopper optimization algorithm
    S Jawade, OK Kulkarni, GM Kakandikar
    Journal of Mechanical Engineering, Automation and Control Systems 2 (2), 87-97 , 2021
    2021
    Citations: 11
  • Development of a multi‐objective salp swarm algorithm for benchmark functions and real‐world problems
    SP Mhatugade, GM Kakandikar, OK Kulkarni, VM Nandedkar
    Optimization for Engineering Problems, 101-130 , 2019
    2019
    Citations: 11
  • The role of mechanical testing in additive manufacturing
    V Agarwal, S Jawade, S Atre, O Kulkarni
    Material Science, Engineering and Applications 1 (2), 21-31 , 2021
    2021
    Citations: 9
  • Micro Forming and its Application: A Critical Review
    N Tiwari, G Kakandikar, O Kulkarni
    https://www.jenrs.com/v01/i03/p013 , 2022
    2022
    Citations: 7
  • Micro Forming Studies of SS316L as Biomedical Application Material
    MN Bogar, O Kulkarni, G Kakandikar
    Journal of Engineering Science and Technology Review 16 (4), 133-141 , 2023
    2023
    Citations: 6
  • Applicability and Efficiency of Socio-Cultural Inspired Algorithms in Optimizing Mechanical Systems-A Critical Review.
    S Patel, GM Kakandikar, O Kulkarni
    Review of Computer Engineering Studies 7 (2) , 2020
    2020
    Citations: 6