• Practical aspects of batch RO design for energy-efficient seawater desalination 

  Swaminathan, Jaichander; Tow, Emily W.; Stover, Richard L.; Lienhard, John H. (Elsevier, 2019-11)

  Batch operation of reverse osmosis (RO) has been proposed as a method to reduce seawater RO (SWRO) energy consumption and fouling propensity. In this paper, we use a transient numerical model of the RO process to investigate ...
• Investigation of flow characteristics in supersonic combustion ramjet combustor toward improvement of combustion efficiency 

  Nair, Prasanth P.; S., Amsha; Suryan, Abhilash; Nizetic, Sandro (Wiley, 2020-03)

  Supersonic combustion ramjet (scramjet) is a variant of ramjet in which the combustion takes place at supersonic velocity. The flow physics inside the scramjet combustor is quite complex due to the fact that the mixing and ...
• Multistage pressure-retarded osmosis configurations: A unifying framework and thermodynamic analysis 

  Chung, Hyung Won; Swaminathan, Jaichander; Lienhard, John H. (Elsevier, 2020-02)

  Pressure-retarded osmosis has enjoyed increasing research interest over the last decade. Recent studies focusing on single-stage PRO designs have raised doubts regarding the long-term economic viability of the technology. ...
• Effect of state transition, drying kinetics and moisture content on Young's modulus variation during thermal drying of hygroscopic food materials 

  Sinha, Ankita; Bhargav, Atul (Elsevier, 2020-08)

  Youngs modulus is one measure of texture, an important quality parameter in processed food materials. During thermal drying, the Youngs modulus undergoes significant variation due to moisture loss and rubbery-glassy state ...
• Electro-magneto-hydrodynamics of non-linear viscoelastic fluids 

  Ghosh, Uddipta (Elsevier, 2020-03)

  A combined mechanical, electrical and magnetic field driven flow of a charged viscoelastic fluid is analyzed here. Body forces on the fluid are exerted due to the multifold interactions between electrical charges in the ...
• Erratum: Scalable macroscale wettability patterns for pool boiling heat transfer enhancement 

  Sarode, Ajinkya; Raj, Rishi; Bhargav, Atul (Springer Verlag, 2020)
• Global stability analysis of spatially developing boundary layer: effect of streamwise pressure gradients 

  Bhoraniya, Ramesh; Narayanan, Vinod (MAIK Nauka/Interperiodica, 2019-12)

  The paper presents a global stability analysis of the two-dimensional incompressible boundary layer with the effect of streamwise pressure gradient. A symmetric wedge flow is considered at different values of the dimensionless ...
• Scalable macroscale wettability patterns for pool boiling heat transfer enhancement 

  Sarode, Ajinkya; Raj, Rishi; Bhargav, Atul (Springer Nature, 2019-11)

  Boiling utilizes latent heat of vaporization of the fluid to dissipate large amount of heat at small temperature budgets. Surfaces with micro?/nano-scale wettability patterns have been shown to improve the heat transfer ...
• Boxception: impact resistance structure using 3D printing 

  Sajadi, Seyed Mohammad; Owuor, Peter Samora; Vajtai, Robert; Lou, Jun; Ayyagari, Ravi Sastri; Tiwary, Chandra Sekhar; Ajayan, Pulickel M. (Wiley, 2019-08)

  The emergence of 3D printing has enabled scientists to innovate complex geometrical designs in materials which are unattainable using conventional synthesis methods. The topological material design is becoming a common ...
• Global stability analysis of axisymmetric boundary layer: effect of axisymmetric forebody shapes 

  Bhoraniya, Ramesh; Narayanan, Vinod (Indian Academy of Sciences, 2019-12)

  This paper presents the effect of axisymmetric forebody shapes on the global stability characteristics of axisymmetric boundary layer developed on a circular cylinder. Axisymmetric forebodies like sharp-cone, ellipsoid, ...
• Stable isotope labeling of metal/metal oxide nanomaterials for environmental and biological tracing 

  Zhang, Peng; Misra, Superb; Guo, Zhiling; Rehk�mper, Mark; Valsami-Jones, Eugenia (Springer Nature, 2019-09)

  Engineered nanomaterials (NMs) are often compositionally indistinguishable from their natural counterparts, and thus their tracking in the environment or within the biota requires the development of appropriate labeling ...
• Stable isotope labeling of metal/metal oxide nanomaterials for environmental and biological tracing 

  Zhang, Peng; Misra, Superb; Guo, Zhiling; Rehkamper, Mark; Valsami-Jones, Eugenia (Springer Nature, 2019-09)

  Engineered nanomaterials (NMs) are often compositionally indistinguishable from their natural counterparts, and thus their tracking in the environment or within the biota requires the development of appropriate labeling ...
• Toward ergonomic risk prediction via segmentation of indoor object manipulation actions using spatiotemporal convolutional networks 

  Parsa, Behnoosh; Samani, Ekta; Hendrix, Rose; Devine, Cameron; Singh, Shashi; Devasia, Santosh; Banerjee, Ashis G. (IEEE, 2019-07)

  Automated real-time prediction of the ergonomic risks of manipulating objects is a key unsolved challenge in developing effective human-robot collaboration systems for logistics and manufacturing applications. We present ...
• Primary energy and exergy of desalination technologies in a power-water cogeneration scheme 

  Altmann, Thomas; Robert, Justin; Bouma, Andrew; Swaminathan, Jaichander; Lienhard, John H. (Elsevier, 2019-10)

  The primary energy consumption of a spectrum of desalination systems is assessed using operating information and technical bids for real plants configured with coproduction of electricity. The energy efficiency of desalination ...
• A possible explanation of how high-frequency deep brain stimulation suppresses low-frequency tremors in Parkinson�s disease 

  Shah, Vrutangkumar V.; Goyal, Sachin; Palanthandalam-Madapusi, Harish J. (IEEE, 2017-08)

  Parkinson's disease (PD) is a neurodegenerative disorder of the central nervous system and one of its key symptoms is rest tremor. Deep brain stimulation (DBS) effectively suppresses rest tremor in Parkinson's disease. ...
• A perspective on using input reconstruction for command following 

  Kadam, Sujay D.; Chavan, Roshan A.; Rajiv, Abhijith; Palanthandalam-Madapusi, Harish J. (Springer, 2019-05)

  In this short note, we present a perspective on viewing tracking control problems as input reconstruction problems and thereby suggesting that input reconstruction methods are naturally suited for tracking problems. This ...
• Estimating Al2O3�CO2 nanofluid viscosity: a molecular dynamics approach 

  Ahmed, Zeeshan; Bhargav, Atul; Mallajosyula, Sairam Swaroop (EDP Sciences, 2018-12)

  High-viscosity CO2�is of interest to the oil and gas industry in enhanced oil recovery and well-fracturing applications. Dispersing nanoparticles in CO2�is one way of achieving increased viscosity. However, parametric ...
• Dynamic thermal characterization of raised floor plenum data centers: Experiments and CFD 

  Fulpagare, Yogesh; Bhargav, Atul; Joshi, Yogendra (Elsevier, 2019-05)

  World over, power consumption by “server farms” or data centers is a growing concern. With time dependent job arrival rates at the servers, the power dissipation, and concomitantly the cooling requirements are dynamic. ...
• Numerical modeling of diffusion-based peritectic solidification in iron carbon system and experimental validation 

  Das, Ipsita Madhu Mita; Kumar, Nishant; Paliwal, Manas (Springer, 2019-03)

  Continuous casting of high-strength steels is challenging owing to peritectic phase transformation during solidification. This transformation is reported to be either diffusion controlled or “massive” like. The experimental ...
• Atomistically informed melting models for aluminum nanocrystals 

  Mathur, Nilkumar; Mane, Tejas; Sundaram, Dilip (Elsevier, 2019-01)

  Atomistically informed analysis of melting is conducted to predict equilibrium melting points of aluminum nanocrystals in the size range 2–10 nm. Spherical and cubic nanocrystals and planar films are considered. Relevant ...

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