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    <pubDate>Sat, 17 Oct 2026 03:34:03 GMT</pubDate>
    <dc:date>2026-10-17T03:34:03Z</dc:date>
    <item>
      <title>Drain Pollution Modelling and Validation Using Different Software</title>
      <link>http://localhost:8081/jspui/handle/123456789/21211</link>
      <description>Title: Drain Pollution Modelling and Validation Using Different Software
Authors: Kumar, Vivek
Abstract: River water quality models are used extensively in research as well as in the design and &#xD;
assessment of water quality management measures. The application of mathematical models &#xD;
for that purpose dates back to the initial studies of oxygen depletion due to organic waste &#xD;
pollution. Since then models have been constantly refined and updated to meet new and &#xD;
emerging problems of surface water pollution such as eutrophication, acute and chronic toxicity &#xD;
etc. Modelling of the oxygen-sag model with the help of Streeter Phelps equation are used to &#xD;
demonstrate the potential benefits of the application of user-friendly numerical software &#xD;
packages in environmental engineering education and practice. The simulation is used to obtain &#xD;
the profiles of oxygen concentration, oxygen deficit, as well as de-oxygenation and re&#xD;
oxygenation rates as a function of distance for a steady state drain velocity. Simulations are &#xD;
carried out for using previously published results. &#xD;
It is shown that the solution profiles obtained by numerical simulation demonstrate the &#xD;
processes involved more than the point values provided by an analytical solution. Due to the &#xD;
many benefits of modelling and simulation, we can envision rapid spread of the use of &#xD;
simulation in environmental, chemical and biotechnology engineering education and practice. &#xD;
In the current research two different software POLYMATH6.10 and MATLAB, 2019 Ra has &#xD;
been used for the same data and compared to check the feasibility, flexibility and accuracy for &#xD;
the same model but different software.</description>
      <pubDate>Tue, 01 Jun 2021 00:00:00 GMT</pubDate>
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      <dc:date>2021-06-01T00:00:00Z</dc:date>
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    <item>
      <title>Simulation of Underground Coal Gasification</title>
      <link>http://localhost:8081/jspui/handle/123456789/21210</link>
      <description>Title: Simulation of Underground Coal Gasification
Authors: Mahawar, Viplav
Abstract: The underground coal gasification is a process which we extract use products from the coal bed&#xD;
without actually mining the coal.Two wells are drilled in the bed one is to inject air into the bed&#xD;
while the other is to extract the product formed inside.Combustion is occurred inside with the&#xD;
help of incombustible (Oxygen and air) send via first well.The second well is used to extract&#xD;
product formed by combustion of coal inside (mainly carbon monoxide) which can further be&#xD;
used to form snygas. We know that syngas is a key component of the polymer industry. Also&#xD;
electric plants can be attached to UCG to produce electricity with the gases coming out of the&#xD;
UCG plant.</description>
      <pubDate>Tue, 01 Jun 2021 00:00:00 GMT</pubDate>
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      <dc:date>2021-06-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Comparative Study of Removal of Arsenic and Fluoride from Groundwater: LCA Approach</title>
      <link>http://localhost:8081/jspui/handle/123456789/21209</link>
      <description>Title: Comparative Study of Removal of Arsenic and Fluoride from Groundwater: LCA Approach
Authors: Gupta, Vipin
Abstract: This present study deals with the comparative study of arsenic and fluoride removal from&#xD;
groundwater by metal oxides i.e Iron Oxide and Aluminium Oxide by Adsorption process. Life&#xD;
Cycle Assessment is done for both the adsorbent and Environmental impacts are compared.&#xD;
Arsenic and Fluoride content in Groundwater for this study is considered on the basis of various&#xD;
studies which illustrate the content of Arsenic and Fluoride in Groundwater in South-East Asian&#xD;
Countries. Management of Waste Adsorbent is done by making bricks. No pretreatment of&#xD;
Groundwater is considered.</description>
      <pubDate>Tue, 01 Jun 2021 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://localhost:8081/jspui/handle/123456789/21209</guid>
      <dc:date>2021-06-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>MONTE-CARLO SIMULATION FOR SEI-BASED  AGEING OF   LI-ION BATTERIES</title>
      <link>http://localhost:8081/jspui/handle/123456789/21208</link>
      <description>Title: MONTE-CARLO SIMULATION FOR SEI-BASED  AGEING OF   LI-ION BATTERIES
Authors: Khange, Subham
Abstract: Since the development of lithium-ion batteries, there is a rapid rise in production because of &#xD;
their excellent performance, which is due to their high energy density, and lower self- discharge &#xD;
rate as compared to other cell chemistries like NiCd. Lithium-ion batteries were initially &#xD;
installed in electronic devices such as laptops, computer and mobile phones but now the gear &#xD;
has been updated as lithium-ion batteries have entered the automotive industry. &#xD;
With the decrease in the cost of lithium-ion batteries from the past few years, the world is now &#xD;
truly accepting electrics vehicles. The recent interest in electric vehicles powered with lithium&#xD;
ion batteries has promoted in-depth battery ageing characterization and predictions. In this &#xD;
present work, different battery degradation mechanism on anode and cathode are separately &#xD;
discussed. As this topic has become popular in research communities, different methods for &#xD;
battery ageing studies are being discussed, ranging from the black box type approach coming &#xD;
from the electrical engineers to the physics-based methods mainly brought by the chemical &#xD;
engineers. In the first section, basic battery components are discussed along with different &#xD;
battery ageing mechanism. &#xD;
The second section consists of a literature review a different paper on ageing on li-ion battery.  &#xD;
The next section discusses the problem statement of the work i.e., Monte Carlo simulation of &#xD;
a mathematical model including the effect of SEI layer formation where the model is &#xD;
simulated with varied parameters whose values are generated randomly from the population. &#xD;
After this, we have discussed the solution methodology in which various steps that are &#xD;
involved in modelling and simulation are discussed. In the next chapter various result are &#xD;
discussed based on sensitivity analysis. &#xD;
Finally, the varied parameters are ranked according to their sensitivity towards battery &#xD;
capacity in the last section.</description>
      <pubDate>Tue, 01 Jun 2021 00:00:00 GMT</pubDate>
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      <dc:date>2021-06-01T00:00:00Z</dc:date>
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