About

Debjyoti Banerjee is a Professor of Mechanical Engineering at Texas A&M University and holds the James J. Cain '51 Faculty Fellowship. His educational background includes a Ph.D. and M.S. degrees in Mechanical Engineering from the University of California, Los Angeles, as well as multiple master's degrees in Engineering Science and Computational Science from the University of Mississippi, and a B.S. from the Indian Institute of Technology, Kharagpur. His research interests encompass thermo-fluidics, including multi-phase flows, boiling and condensation, thermal management, and micro/nano-technology such as nano/micro/bio-sensors, MEMS, nanolithography, and nanosynthesis. He also focuses on nanofluids, phase change materials, energy-water nexus, energy storage, solar power, and numerical simulations involving CFD, CHT, molecular dynamics, and soft computing techniques like AI and machine learning. Dr. Banerjee has been recognized with numerous awards, including the College of Engineering Excellence Award for Service, the Charles W. Crawford Distinguished Award, and the Patent and Innovations Award. He holds 14 U.S. patents and has served as a faculty fellow and affiliate in various research centers at Texas A&M University. His contributions to the field are marked by his leadership in research, innovation, and academic excellence.

Research topics

• Metallurgy
• Materials science
• Process engineering
• Engineering
• Thermodynamics
• Waste management
• Nuclear engineering
• Chemical engineering
• Mechanical engineering
• Nanotechnology

Selected publications

• DESALINATION OF EXTREMELY HIGH SALINITY BRINES USING NOVEL FLASH EVAPORATION AND SWIRL FLOW SEPARATION APPARATUS

  2026-01-01

  articleSenior author
  PublisherDOI

• Modulation of Corrosion Resistance by Varying the Combination of Nanofluids with Additives (Surfactants)

  2026-01-01

  articleSenior author
  PublisherDOI

• Advanced Applications in Heat Exchanger Technologies

  2025-06-25

  bookSenior author
  PublisherDOI

• Experimental Study of the Performance of a Novel Swirl Flow Separator for High Salinity Desalination Applications

  2025-07-08 · 1 citations

  articleSenior author

  Abstract There are limitations on high salinity applications for most of the current commercial desalination platforms such as the commonly adopted Reverse Osmosis (RO) technique. Other prevalent thermal desalination methods such as Multi Stage Flash Evaporation (MSFE) or Multi Effect Distillation (MED) are capital intensive and less efficient for high salinity applications such as brackish water, or brine waste from desalination or process industries, which typically exceeds 3.5% salinity and is disposed off in the water bodies as waste, which in turn, has detrimental environmental effects. This study is focused on experimental investigation of a novel swirl flow separator which leverages dynamic flash evaporation for higher salinity applications. The proposed concept results in a smaller form factor by using 2 separator stages which could potentially drive down the cost of desalination. The novel apparatus has been tested extensively in previous studies for desalination of feed water with 2% salinity. The aim of this study is to experimentally evaluate the performance of this novel 2-stage swirl flow apparatus for feed water with higher salinity levels, with concentration of 10% salt by mass. The ultimate goal is to demonstrate the feasibility of this experimental apparatus for desalination applications involving feed water with higher salinity values and to demonstrate the insensitivity of the apparatus to varying salinity levels in the feedstock. The thermal-hydraulic performance and efficacy of this lab-scale prototype for feed water with 10% salinity is compared with that of experiments involving feed water with 2% salinity level (from previous reports in the literature). These comparisons are performed by determining the thermal-efficiency, phase separation efficiency and collection efficiency values for supply temperature of 80°C (and for five different values of flowrates of the feedwater). The pure water collected downstream in the condenser is observed to have a salinity lower than 0.01% salt concentration by mass regardless of the feed water salinity levels, thus demonstrating the insensitivity of the novel apparatus for desalination.

  PublisherDOI

• Immersion Cooling in Data Centers: A Comprehensive Review of Benefits, Challenges, and Future Directions

  2025-01-01 · 2 citations

  reviewSenior author
  PublisherDOI

• Corrosion Mitigation of Metallic and Alloy Substrates Using Nanofluids Based Coolants

  2025-07-08 · 2 citations

  article

  Abstract Nanofluids are stable colloidal suspensions of nanoparticles in solvents. This research topic has evolved over the past few decades as promising candidates for a variety of applications due to attractive tunable material properties. This study is focused on ascertaining the corrosion mitigation characteristics of nanofluids, especially for metallic substrates. Electrochemical experiments were performed in this study to evaluate the corrosivity of different nanofluids. To evaluate the feasibility of adding nanoparticles to coolants, aluminum and brass surfaces were exposed to 0.01 M NaCl water solutions doped with silica nanoparticles at concentrations of 0.05% and 0.1% by mass, along with sodium dodecyl benzene sulfonate (SDBS) at 0.1% by mass. The results showed that the relative corrosivity of the nanofluid samples is highly sensitive to the material properties of the test coupons. Both brass and aluminum demonstrated improved corrosion resistance upon the introduction of silica SDBS additives into the fluid.

  PublisherDOI

• Heat Exchanger Classifications and Their Areas of Application

  2025-06-25 · 3 citations

  book-chapterSenior author

  Heat exchangers are indispensable components in thermal management systems, enabling precise and efficient energy transfer between fluids or solids. They serve as critical enablers of energy efficiency, sustainability, and operational reliability across industries such as power generation, HVAC, chemical processing, aerospace, and waste heat recovery. This chapter presents a comprehensive analysis of heat exchanger classifications, encompassing flow arrangements, construction geometries, heat transfer mechanisms, surface compactness, number of fluids, and transfer processes. Advanced designs, including plate-fin, spiral, and extended-surface heat exchangers, effectively address industry challenges such as fouling, pressure drops, and space constraints. Innovations in materials, nanotechnology, and advanced coatings further enhance thermal and mechanical performance, ensuring robust functionality under diverse operating conditions. The chapter also outlines critical selection criteria, emphasizing their role in applications such as cryogenics, chemical synthesis, and data center cooling. The integration of artificial intelligence and machine learning is revolutionizing heat exchanger technology, introducing intelligent classification systems, optimized designs, and real-time monitoring capabilities. These advancements enhance heat transfer efficiency, enable predictive maintenance, and facilitate fault detection, ensuring superior performance and minimal operational downtime. This chapter underscores that by incorporating state-of-the-art designs and advanced technologies, heat exchangers are pivotal in addressing global energy and sustainability challenges.

  PublisherDOI

• Computational Modelling of Idealized Triple Bifurcating Tracheobronchial Tree for Therapy of ARDS Patients

  2025-07-08 · 2 citations

  articleSenior author

  Abstract Acute Respiratory Distress Syndrome (ARDS) refers to lung diseases including the recently observed “Corona Virus Disease (COVID)” that led to the worldwide pandemic. ARDS is caused due to acute infection of the lungs which precipitates respiratory failure and is commonly associated with high patient mortality rates. The treatment often requires use of mechanical ventilation that has a potential to lead to secondary health complications, commonly termed as Ventilator Induced Lung Injury (VILI). VILI can be caused by high inspiratory pressure and cyclical opening and collapse during the breathing cycle. To enumerate the mechanisms leading to VILI, a computational fluid dynamics (CFD) model is developed and implemented to study the velocity profiles, flow rates and pressure distribution in a healthy human tracheobronchial airway geometry from third to sixth generation (G3-G6) branches. The flow patterns are obtained for each branch in the bifurcating network from the CFD simulations conducted for four different inlet flowrates corresponding to Reynolds number (Re) 250, 750, 1250 and 1750 within the laminar flow regime. The aim of this study is to improve the cognition of the dynamics and mechanics of flow in lung airways using an idealized triple bifurcation geometry while using suitable assumptions for the computational model with the goal of optimizing mechanical ventilation parameters by predicting complex flow fields inside human lungs. This study successfully demonstrated a computational model to observe the flow fields in the various segments of the lung airways and identified the sensitive areas in the triple bifurcation geometry. This work is preliminary to developing a reduced order prediction model to deliver individualized treatment for patients with ARDS and similar lung diseases.

  PublisherDOI

• Heat Transfer Fundamentals and Introduction to Heat Exchangers

  2025-06-25

  book-chapterSenior author

  The transfer of heat is a fundamental aspect of thermal engineering, facilitating energy exchange through three primary mechanisms: conduction, convection, and radiation. This chapter delves into their underlying principles, mathematical models, and interconnected roles in practical scenarios. Conduction represents energy transfer through molecular interactions, convection combines the effects of molecular movement and fluid dynamics, and radiation relies on electromagnetic wave propagation. These mechanisms find diverse applications across various industries, such as power generation, heating, ventilation, and air conditioning (HVAC) systems, and renewable energy solutions. Recent advancements in material science, nanotechnology, and computational techniques have significantly improved the efficiency and sustainability of thermal processes. Additionally, the discussion highlights cutting-edge design strategies, including the use of extended surfaces, nanofluids, and hybrid approaches, which are paving the way for optimized and energy-efficient thermal systems. This knowledge serves as a crucial foundation for addressing global energy demands and achieving environmental sustainability.

  PublisherDOI

• BASELINE COMPUTATIONAL MODELING OF HEALTHY LUNG TRIPLE BIFURCATION GEOMETRY FOR ACUTE RESPIRATORY DISTRESS SYNDROME (ARDS, COVID RESEARCH)

  2025-01-01 · 2 citations

  articleSenior author
  PublisherDOI

Recent grants

• Exploring New Mechanistic Models for Pool Boiling Experiments on Nano-FIns

  NSF · $268k · 2012–2015

Frequent coauthors

• Ashok Thyagarajan

  Walker (United States)

  28 shared

• Byeongnam Jo

  24 shared

• Nandan Shettigar

  Houston Methodist

  23 shared

• Donghyun Shin

  22 shared

• Seok‐Won Kang

  Yeungnam University

  22 shared

• Aditya Chuttar

  Walker (United States)

  20 shared

• Hee Seok Ahn

  Texas A&M University

  16 shared

• Alaba Bamido

  Texas A&M University

  16 shared

Education

• Ph.D., Mechanical and Aerospace Engineering Department

  University of California Los Angeles

  1999

Awards & honors

• 2021 College of Engineering Excellence Award for Service
• 2020 Charles W. Crawford Distinguished Award (Engineering Ou…
• 2020 Patent and Innovations Award, awarded by the Office of…
• Faculty Fellow, Engineering-Medicine Program (En-Med)
• Faculty Fellow, Mary Kay O'Connor Process Safety Center (MKO…