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Srinivasa V Rama - One of the best experts on this subject based on the ideXlab platform.

  • experimental studies on heat transfer and friction factor characteristics of al2o3 water nanofluid under turbulent flow with spiraled rod inserts
    Chemical Engineering and Processing, 2012
    Co-Authors: S Suresh, P Selvakuma, M Chandraseka, Srinivasa V Rama
    Abstract:

    Abstract An experimental investigation on the convective heat transfer and friction factor characteristics in circular tube with spiraled rod inserts (pitch = 15 mm, 30 mm) under turbulent flow with constant heat flux is carried out with distilled water and Al 2 O 3 /water nanofluids. For this purpose, Al 2 O 3 nanoParticles were syntheSized by using chemical precipitation method. The average Size of Particle is found to be 40.3 nm. The nanoParticles are then dispersed in distilled water to form stable suspension of Al 2 O 3 /water nanofluids with 0.3, 0.4 and 0.5% volume concentration of nanoParticles. It is found that (i) heat transfer enhancement is caused by suspending nanoParticles and becomes more pronounced with the increase of the Particle volume concentration (ii) the Nusselt number for spiraled rod inserts under turbulent flow showed an increase of about 10–48% compared to the Nusselt numbers obtained with plain tube (iii) the isothermal pressure drop for turbulent flow with spiraled rod inserts were found to be between 2 and 8% higher than the plain tube.

S Suresh - One of the best experts on this subject based on the ideXlab platform.

  • experimental studies on heat transfer and friction factor characteristics of al2o3 water nanofluid under turbulent flow with spiraled rod inserts
    Chemical Engineering and Processing, 2012
    Co-Authors: S Suresh, P Selvakuma, M Chandraseka, Srinivasa V Rama
    Abstract:

    Abstract An experimental investigation on the convective heat transfer and friction factor characteristics in circular tube with spiraled rod inserts (pitch = 15 mm, 30 mm) under turbulent flow with constant heat flux is carried out with distilled water and Al 2 O 3 /water nanofluids. For this purpose, Al 2 O 3 nanoParticles were syntheSized by using chemical precipitation method. The average Size of Particle is found to be 40.3 nm. The nanoParticles are then dispersed in distilled water to form stable suspension of Al 2 O 3 /water nanofluids with 0.3, 0.4 and 0.5% volume concentration of nanoParticles. It is found that (i) heat transfer enhancement is caused by suspending nanoParticles and becomes more pronounced with the increase of the Particle volume concentration (ii) the Nusselt number for spiraled rod inserts under turbulent flow showed an increase of about 10–48% compared to the Nusselt numbers obtained with plain tube (iii) the isothermal pressure drop for turbulent flow with spiraled rod inserts were found to be between 2 and 8% higher than the plain tube.

  • Experimental studies on heat transfer and friction factor characteristics of Al2O3/water nanofluid under laminar flow with spiralled rod inserts
    International Journal of Nanoparticles, 2012
    Co-Authors: S Suresh, M Chandrasekar, P. Selvakumar, Tom Page
    Abstract:

    An experimental investigation on the convective heat transfer and friction factor characteristics in the plain and spiralled rod inserts (pitch = 15 mm, 30 mm) in a plain tube under laminar flow with constant heat flux is carried out with Al2O3-water nanofluids. We study the effect of the inclusion of nanoParticles on heat transfer enhancement, thermal conductivity, viscosity, and pressure loss in the laminar flow region. For this, we synthesised Al2O3 nanoParticles by using microwave assisted chemical precipitation method and we measured Size of nanoParticles by using XRD. The average Size of Particle is 40.3 nm, and then the nanoParticles dispersed in distilled water to form stable suspension containing 0.3%, 0.4%, 0.5% volume concentration of nanoParticles. The experimental results of Nusselt number for 0.5% nanofluid with spiralled rod inserts under laminar flow showed a maximum of 24% higher than the plain tube and the isothermal pressure drop of nanofluids with spiralled rod inserts were about 5% to 15% higher than the plain tube.

Marian Brozek - One of the best experts on this subject based on the ideXlab platform.

  • methodology of calculation the terminal settling velocity distribution of irregular Particles for high values of the reynold s number metodologia wyliczania rozkladu granicznej predkości opadania ziaren nieregularnych dla wysokich wartości liczb reyn
    Archives of Mining Sciences, 2014
    Co-Authors: Agnieszka Surowiak, Marian Brozek
    Abstract:

    The Particle settling velocity is the feature of separation in such processes as flowing classification and jigging. It characterizes material forwarded to the separation process and belongs to the so-called complex features because it is the function of Particle density and Size. i.e. the function of two simple features. The affiliation to a given subset is determined by the values of two properties and the distribution of such feature in a sample is the function of distributions of Particle density and Size. The knowledge about distribution of Particle settling velocity in jigging process is as much important factor as knowledge about Particle Size distribution in screening or Particle density distribution in dense media beneficiation. The paper will present a method of determining the distribution of settling velocity in the sample of spherical Particles for the turbulent Particle motion in which the settling velocity is expressed by the Newton formula. Because it depends on density and Size of Particle which are random variable of certain distributions, the settling velocity is a random variable. Applying theorems of probability, concerning distributions function of random variables, the authors present general formula of probability density function of settling velocity for the turbulent motion and particularly calculate probability density function for Weibull’s forms of frequency functions of Particle Size and density. Distribution of settling velocity will calculate numerically and perform in graphical form. The paper presents the simulation of calculation of settling velocity distribution on the basis of real distributions of density and projective diameter of Particles assuming that Particles are spherical.

  • methodology of calculation the terminal settling velocity distribution of spherical Particles for high values of the reynold s number
    Archives of Mining Sciences, 2014
    Co-Authors: Agnieszka Surowiak, Marian Brozek
    Abstract:

    The Particle settling velocity is the feature of separation in such processes as flowing classification and jigging. It characterizes material forwarded to the separation process and belongs to the so-called complex features because it is the function of Particle density and Size. i.e. the function of two simple features. The affiliation to a given subset is determined by the values of two properties and the distribution of such feature in a sample is the function of distributions of Particle density and Size. The knowledge about distribution of Particle settling velocity in jigging process is as much important factor as knowledge about Particle Size distribution in screening or Particle density distribution in dense media beneficiation. The paper will present a method of determining the distribution of settling velocity in the sample of spherical Particles for the turbulent Particle motion in which the settling velocity is expressed by the Newton formula. Because it depends on density and Size of Particle which are random variable of certain distributions, the settling velocity is a random variable. Applying theorems of probability, concerning distributions function of random variables, the authors present general formula of probability density function of settling velocity for the turbulent motion and particularly calculate probability density function for Weibull’s forms of frequency functions of Particle Size and density. Distribution of settling velocity will calculate numerically and perform in graphical form. The paper presents the simulation of calculation of settling velocity distribution on the basis of real distributions of density and projective diameter of Particles assuming that Particles are spherical.

Agnieszka Surowiak - One of the best experts on this subject based on the ideXlab platform.

  • methodology of calculation the terminal settling velocity distribution of irregular Particles for high values of the reynold s number metodologia wyliczania rozkladu granicznej predkości opadania ziaren nieregularnych dla wysokich wartości liczb reyn
    Archives of Mining Sciences, 2014
    Co-Authors: Agnieszka Surowiak, Marian Brozek
    Abstract:

    The Particle settling velocity is the feature of separation in such processes as flowing classification and jigging. It characterizes material forwarded to the separation process and belongs to the so-called complex features because it is the function of Particle density and Size. i.e. the function of two simple features. The affiliation to a given subset is determined by the values of two properties and the distribution of such feature in a sample is the function of distributions of Particle density and Size. The knowledge about distribution of Particle settling velocity in jigging process is as much important factor as knowledge about Particle Size distribution in screening or Particle density distribution in dense media beneficiation. The paper will present a method of determining the distribution of settling velocity in the sample of spherical Particles for the turbulent Particle motion in which the settling velocity is expressed by the Newton formula. Because it depends on density and Size of Particle which are random variable of certain distributions, the settling velocity is a random variable. Applying theorems of probability, concerning distributions function of random variables, the authors present general formula of probability density function of settling velocity for the turbulent motion and particularly calculate probability density function for Weibull’s forms of frequency functions of Particle Size and density. Distribution of settling velocity will calculate numerically and perform in graphical form. The paper presents the simulation of calculation of settling velocity distribution on the basis of real distributions of density and projective diameter of Particles assuming that Particles are spherical.

  • methodology of calculation the terminal settling velocity distribution of spherical Particles for high values of the reynold s number
    Archives of Mining Sciences, 2014
    Co-Authors: Agnieszka Surowiak, Marian Brozek
    Abstract:

    The Particle settling velocity is the feature of separation in such processes as flowing classification and jigging. It characterizes material forwarded to the separation process and belongs to the so-called complex features because it is the function of Particle density and Size. i.e. the function of two simple features. The affiliation to a given subset is determined by the values of two properties and the distribution of such feature in a sample is the function of distributions of Particle density and Size. The knowledge about distribution of Particle settling velocity in jigging process is as much important factor as knowledge about Particle Size distribution in screening or Particle density distribution in dense media beneficiation. The paper will present a method of determining the distribution of settling velocity in the sample of spherical Particles for the turbulent Particle motion in which the settling velocity is expressed by the Newton formula. Because it depends on density and Size of Particle which are random variable of certain distributions, the settling velocity is a random variable. Applying theorems of probability, concerning distributions function of random variables, the authors present general formula of probability density function of settling velocity for the turbulent motion and particularly calculate probability density function for Weibull’s forms of frequency functions of Particle Size and density. Distribution of settling velocity will calculate numerically and perform in graphical form. The paper presents the simulation of calculation of settling velocity distribution on the basis of real distributions of density and projective diameter of Particles assuming that Particles are spherical.

P Selvakuma - One of the best experts on this subject based on the ideXlab platform.

  • experimental studies on heat transfer and friction factor characteristics of al2o3 water nanofluid under turbulent flow with spiraled rod inserts
    Chemical Engineering and Processing, 2012
    Co-Authors: S Suresh, P Selvakuma, M Chandraseka, Srinivasa V Rama
    Abstract:

    Abstract An experimental investigation on the convective heat transfer and friction factor characteristics in circular tube with spiraled rod inserts (pitch = 15 mm, 30 mm) under turbulent flow with constant heat flux is carried out with distilled water and Al 2 O 3 /water nanofluids. For this purpose, Al 2 O 3 nanoParticles were syntheSized by using chemical precipitation method. The average Size of Particle is found to be 40.3 nm. The nanoParticles are then dispersed in distilled water to form stable suspension of Al 2 O 3 /water nanofluids with 0.3, 0.4 and 0.5% volume concentration of nanoParticles. It is found that (i) heat transfer enhancement is caused by suspending nanoParticles and becomes more pronounced with the increase of the Particle volume concentration (ii) the Nusselt number for spiraled rod inserts under turbulent flow showed an increase of about 10–48% compared to the Nusselt numbers obtained with plain tube (iii) the isothermal pressure drop for turbulent flow with spiraled rod inserts were found to be between 2 and 8% higher than the plain tube.