Ritwik Maiti | Mechanical Engineering | Best Researcher Award

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Dr. Ritwik Maiti | Mechanical Engineering | Best Researcher Award

Assistant Professor at Birla Institute of Technology Mesra, India

Summary:

Dr. Ritwik Maiti is an accomplished researcher in the field of fluid dynamics and granular flow, with a particular emphasis on the behavior of granular materials in various contexts such as silos, open channels, and underground cavities. His work has contributed significantly to understanding the flow of granular media in natural and industrial processes. Dr. Maiti has held prestigious research positions at the National University of Singapore and the University of Sheffield, where he worked on projects ranging from wind-tunnel tests to flow modeling in porous media. He is currently contributing to the academic and research community at Birla Institute of Technology Mesra, where he continues his innovative research on granular flows and their interactions with fluid dynamics.

Professional Profile:

👩‍🎓Education:

Dr. Ritwik Maiti is an Assistant Professor in the Department of Mechanical Engineering at Birla Institute of Technology, Mesra, Ranchi. He earned his Ph.D. in Mechanical Engineering from the Indian Institute of Technology Kharagpur (2011–2017), where his research focused on the dynamics of dense granular flows through silos, closed channels, and open channels. Dr. Maiti holds a Master of Engineering (M.E.) in Heat Power Engineering from Jadavpur University, Kolkata (2009–2011), and a Bachelor of Technology (B.Tech) in Mechanical Engineering from Kalyani Government Engineering College, West Bengal (2008).

🏢 Professional Experience:

Dr. Maiti has extensive research experience in both mechanical and civil engineering. From 2018 to 2021, he was a Research Fellow with the Fluid Mechanics Research Group at the National University of Singapore, where he worked on projects related to wind-tree interaction and the minimization of granular mixture segregation. Prior to this, he was a Research Associate at the University of Sheffield (2017–2018), where he focused on modeling flow through porous granular media as part of the Geotechnical Engineering Research Group. His professional expertise includes the design and development of experimental fluid flow facilities and the handling of advanced equipment such as high-speed cameras, particle image velocimetry, and particle analyzers.

Research Interests:

Dr. Maiti’s research interests lie at the intersection of fluid mechanics and granular flow. His areas of focus include:

  • Experimental Fluid Dynamics
  • Granular Flow Dynamics
  • Geophysical Flows and Avalanches
  • Granular Mixing and Segregation
  • Fluid-Structure Interaction
  • Impact Crater Analysis
  • Underground Cavity Collapse
  • Multiphase Flows
  • Discrete Element Model (DEM)
  • Computational Fluid Dynamics (CFD) and CFD-DEM Coupling

He is also skilled in high-speed photography, image processing, and the use of software such as Matlab, Autocad, and LIGGGHTS for simulation and analysis.

Author Metrics:

Dr. Maiti has published numerous articles in international journals and conferences, including:

  • 10 publications in top-tier journals such as Physics of Fluids, Powder Technology, and AIChE Journal.
  • Contributions to leading conferences such as the International Conference on Fluid Mechanics and Fluid Power and the International Conference on Multiphase Flow.
  • A book chapter published by Springer in 2017.
  • Several research papers currently under review in journals like Powder Technology and Ocean Engineering.

Dr. Maiti’s research on granular dynamics has garnered significant attention in his field, contributing valuable insights into both theoretical models and practical applications.

Top Noted Publication:

Experiments on Eccentric Granular Discharge from a Quasi-Two-Dimensional Silo

  • Authors: R. Maiti, G. Das, P.K. Das
  • Journal: Powder Technology
  • Volume: 301
  • Pages: 1054-1066
  • Year: 2016
  • Citations: 35
  • Summary: This study presents experimental investigations on granular discharge from a quasi-two-dimensional silo with an eccentric outlet. The paper discusses the flow behavior, discharge rates, and the formation of patterns in the granular material as it exits the silo. The experiments provide a detailed understanding of the flow field dynamics during eccentric discharge.

Granular Drainage from a Quasi-2D Rectangular Silo through Two Orifices Symmetrically and Asymmetrically Placed at the Bottom

  • Authors: R. Maiti, G. Das, P.K. Das
  • Journal: Physics of Fluids
  • Volume: 29 (10)
  • Year: 2017
  • Citations: 25
  • Summary: This research explores the granular flow through a rectangular silo with two bottom orifices, placed both symmetrically and asymmetrically. The work examines how different placement configurations of the orifices affect the flow and drainage dynamics of granular materials, contributing valuable insights into granular discharge mechanics.

Flow Field During Eccentric Discharge from Quasi-Two-Dimensional Silos—Extension of the Kinematic Model with Validation

  • Authors: R. Maiti, S. Meena, P.K. Das, G. Das
  • Journal: AIChE Journal
  • Volume: 62 (5)
  • Pages: 1439-1453
  • Year: 2016
  • Citations: 19
  • Summary: This paper extends a kinematic model to describe the flow field during eccentric discharge from a quasi-2D silo. The study provides experimental validation of the model and offers insights into the flow patterns and velocity fields of granular materials, expanding the understanding of discharge processes in industrial and natural granular systems.

Cracking of Tar by Steam Reforming and Hydrogenation: An Equilibrium Model Development

  • Authors: R. Maiti, S. Ghosh, S. De
  • Journal: Biomass Conversion and Biorefinery
  • Volume: 3
  • Pages: 103-111
  • Year: 2013
  • Citations: 6
  • Summary: This paper focuses on developing an equilibrium model for tar cracking using steam reforming and hydrogenation. The study addresses the challenges associated with tar removal in biomass gasification and proposes a model to predict the outcomes of chemical reactions involved in the process.

Self-Organization of Granular Flow by Basal Friction Variation: Natural Jump, Moving Bore, and Flying Avalanche

  • Authors: R. Maiti, G. Das, P.K. Das
  • Journal: AIChE Journal
  • Volume: 69 (1)
  • Article: e17943
  • Year: 2023
  • Citations: 2
  • Summary: This recent study investigates the self-organization phenomena in granular flows due to variations in basal friction. The paper describes natural jumps, moving bores, and flying avalanches in granular media, providing key insights into the mechanics of granular flow and segregation.

Conclusion:

Dr. Ritwik Maiti’s contributions to fluid dynamics and granular flow research, particularly in areas like silo flows and porous media, make him a strong candidate for the Best Researcher Award. His published work demonstrates both depth and innovation in key fields of mechanical engineering, and his international experience enhances his profile. While expanding his research into more applied fields and taking on greater leadership roles could strengthen his application, his current contributions to science are exceptional, positioning him well for recognition in the field of mechanical engineering research.

 

Bolaji Oladipo | Mechanical Engineering

Posted on by Best Paper Award
Mr. Bolaji Oladipo: Leading Researcher in Mechanical Engineering

Summary:

Bolaji Oladipo is a dedicated and accomplished mechanical engineer currently pursuing a Ph.D. in Mechanical Engineering at the University of Rhode Island, USA, where he maintains an impressive GPA of 3.74/4.00. His academic journey includes a Master of Science in Mechanical Engineering from Rowan University, New Jersey, USA, and a Bachelor of Science in Mechanical Engineering from the University of Ibadan, Nigeria.

Bolaji has made significant contributions to the field of mechanical engineering, particularly in areas such as auxetic metamaterials, corrosion assessment, and material interface adhesion. His expertise extends to machine learning, finite element analysis, and materials modeling, as evidenced by his presentations at various conferences and workshops. He has showcased research findings through poster presentations on topics like auxetic TPU metamaterials and efficient strengthening of concrete cylinders.

Professional Profile:

🎓 Education:

  • Pursuing a Ph.D. in Mechanical Engineering at the University of Rhode Island, USA (2022 – Present) with a GPA of 3.74/4.00.
  • Master of Science in Mechanical Engineering from Rowan University, New Jersey, USA (2018 – 2020) with a GPA of 3.76/4.00.
  • Bachelor of Science in Mechanical Engineering from the University of Ibadan, Nigeria (2008 – 2014) with a GPA of 3.30/4.00.

📊 Conference Presentations: He have consistently demonstrated my expertise in machine learning, finite element analysis, and materials modeling through engaging presentations at diverse conferences and workshops. These platforms have provided me with opportunities to share and discuss cutting-edge research findings, contributing to the broader academic and professional discourse.

📝 Poster Presentations: He have effectively communicated my research insights through visually compelling posters, covering subjects like auxetic TPU metamaterials and the efficient strengthening of concrete cylinders. These presentations, showcased at various conferences and forums, have facilitated discussions and knowledge exchange within the academic and professional communities.

🔍 Journal Review: He contribute to the academic community by serving as a meticulous reviewer for the Journal of Materials in Civil Engineering, a prestigious publication under the American Society of Civil Engineers. This role involves evaluating and providing valuable insights into scientific research articles.

🏆 Awards and Honors: He take pride in receiving accolades for my research contributions, securing 1st place in the Sixth Rhode Island Transportation and Engineering Poster Competition. Additionally, He achieved 2nd place in the 2022 TIDC Student Poster Fan Favorite Contest, showcasing the recognition of my work within the academic realm.

🌐 Professional Memberships: As a dedicated professional, He hold esteemed memberships in reputable organizations such as the American Society of Civil Engineers and the Nigerian Society of Engineers. These affiliations reflect my commitment to staying connected with the broader engineering community and staying abreast of the latest advancements in the field.

👨‍💼 Work Experience: In the capacity of Founder and CEO of Custod Engineering Services Limited, He lead a dynamic team, providing comprehensive training in CAD/CAM software and delivering top-notch engineering consultancy services.

💼 Research Associate: Currently serving as a Graduate Research Associate at the Multiscale And Multiphysics Mechanics Laboratory, University of Rhode Island, He engage in diverse numerical simulations and experiments related to concrete cylinders. My responsibilities also include interpreting data and contributing to research articles.

👨‍🏫 Teaching Experience: With a background as a Graduate Teaching Assistant and Graduate Teaching Fellow, He actively contribute to the education sector. My roles have involved teaching labs and lectures, grading assignments, and fostering an enriching learning environment.

🌐 Global Experience: He have showcased my research findings on a global platform by presenting virtually at international conferences. This experience reflects my commitment to a broader perspective in academia and research.

🏆 Judging Experience: He was honored to be invited as a judge at the 2023 Virginia Junior Academy of Science (VJAS) Research Symposium, where He assessed and scored research papers, particularly in the engineering category.

Publication Top Noted:

Title: Corrosion assessment of some buried metal pipes using neural network algorithm

  • Authors: B.A. Oladipo, O.O. Ajide, C.G. Monyei
  • Journal: International Journal of Engineering and Manufacturing (IJEM)
  • Volume: 7
  • Issue: 6
  • Pages: 27-42
  • Year: 2017

Title: Integrating Experiments, Finite Element Analysis, and Interpretable Machine Learning to Evaluate the Auxetic Response of 3D Printed Re-entrant Metamaterials

  • Authors: B. Oladipo, H. Matos, N.M.A. Krishnan, S. Das
  • Journal: Journal of Materials Research and Technology
  • Volume: 2
  • Year: 2023

Title: Evaluating the adhesion response of acrylonitrile-butadiene-styrene (ABS)/thermoplastic polyurethane (TPU) fused interface using multiscale simulation and experiments

  • Authors: J.T. Villada, G.A. Lyngdoh, R. Paswan, B. Oladipo, S. Das
  • Journal: Materials & Design
  • Volume: 232
  • Pages: 112155
  • Year: 2023

Research Focus:

Auxetic Metamaterials: Bolaji has delved into the study of auxetic materials, exploring their unique mechanical properties and potential applications. These materials exhibit negative Poisson’s ratios, making them valuable for specific engineering applications due to their ability to expand laterally when stretched.

Corrosion Assessment: Bolaji has conducted research on the corrosion assessment of buried metal pipes, employing neural network algorithms to analyze and predict corrosion behavior. This work contributes to the understanding of corrosion processes and aids in the development of effective mitigation strategies.

Material Interface Adhesion: His research extends to evaluating the adhesion response of material interfaces, specifically focusing on acrylonitrile-butadiene-styrene (ABS)/thermoplastic polyurethane (TPU) fused interfaces. This work involves multiscale simulation and experiments to enhance our understanding of material interactions.

Finite Element Analysis (FEA): Bolaji has expertise in finite element analysis, utilizing tools like ANSYS Multiphysics to simulate and analyze complex mechanical systems. His work involves applying FEA techniques to study the mechanical behavior of structures, such as concrete cylinders.

Machine Learning Applications: With a keen interest in machine learning, Bolaji integrates this technology into materials science and engineering. His research involves the use of interpretable machine learning to evaluate the auxetic response of 3D printed re-entrant metamaterials, showcasing an interdisciplinary approach.

Global Infrastructure and Transportation: Bolaji’s research extends to the domain of transportation infrastructure durability. He has presented findings at conferences on topics related to the efficient strengthening of concrete cylinders, contributing to the development of resilient and sustainable infrastructure.