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  <title>NOPR Collection:</title>
  <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/62005" />
  <subtitle />
  <id>http://nopr.niscpr.res.in/handle/123456789/62005</id>
  <updated>2026-10-09T18:11:33Z</updated>
  <dc:date>2026-10-09T18:11:33Z</dc:date>
  <entry>
    <title>Modelling and Simulation of Crankcase Cover Manufacturing in the Automobile Industry</title>
    <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/62014" />
    <author>
      <name>Chawla, Sumit</name>
    </author>
    <author>
      <name>Singari, Ranganath M</name>
    </author>
    <id>http://nopr.niscpr.res.in/handle/123456789/62014</id>
    <updated>2023-06-06T10:46:39Z</updated>
    <published>2023-06-01T00:00:00Z</published>
    <summary type="text">Title: Modelling and Simulation of Crankcase Cover Manufacturing in the Automobile Industry
Authors: Chawla, Sumit; Singari, Ranganath M
Abstract: The simulation creates the virtual production model which is exactly like the real environment, and it provides future&#xD;
insights before laying down the actual production plant layout. With the help of simulation, we can simulate the complex&#xD;
and costly manufacturing system without investing money physically and check the system’s real-life behavior. In this&#xD;
study, for the first time, the modelling and simulation of two-wheeler crankcase cover manufacturing are done with the help&#xD;
of Flexsim. This study deals with the development of a simulation model for crankcase cover manufacturing systems in the&#xD;
automobile industry. Flexsim simulation tool is used as an optimization tool for analyzing the effect of varying the number&#xD;
of operators and process stations on system performance using various scenarios. The results indicate that scenario 2 is best&#xD;
for crankcase cover manufacturing which reduces the overall idle time of all process stations and optimizes the number of&#xD;
Die-Casting Machines (DCM) and Vertical Milling Center (VMC). These results are useful for all industries for simulating&#xD;
their process or product layout.
Page(s): 597-602</summary>
    <dc:date>2023-06-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>An Investigation to Find the Effects on Air Foil Bearing by the Variation of Foil’s Structural Parameters</title>
    <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/62013" />
    <author>
      <name>Chakraborty, Bivash</name>
    </author>
    <author>
      <name>Biswas, Nabarun</name>
    </author>
    <author>
      <name>Chakraborti, Prasun</name>
    </author>
    <id>http://nopr.niscpr.res.in/handle/123456789/62013</id>
    <updated>2023-06-06T10:44:42Z</updated>
    <published>2023-06-01T00:00:00Z</published>
    <summary type="text">Title: An Investigation to Find the Effects on Air Foil Bearing by the Variation of Foil’s Structural Parameters
Authors: Chakraborty, Bivash; Biswas, Nabarun; Chakraborti, Prasun
Abstract: The newest advancement in the realm of bearing technology, Air Foil Bearings (AFB) is a marvel that allows for operation&#xD;
at both incredibly low and high temperatures without fail. Their minimalistic design eliminates the requirement for lubrication&#xD;
and sealing systems, making them not only more efficient but also more eco-friendly. When it comes to speed, these bearings&#xD;
give no quarter - they can handle even the most extreme of conditions with ease. Air foil bearings rely on the structural design&#xD;
of top and bump foils to support and distribute pressure in the air film. To increase bearing capacity, these foils must be thick&#xD;
enough to withstand greater force. It is crucial to explore how varying foil thickness and bump height-pitch ratios may affect the&#xD;
performance of an air foil bearing. The researchers at the ANSYS Fluent lab set out to understand the dynamics of air foil&#xD;
bearings. By adjusting the thickness of the top and bump foils, they were able to observe how stress, stiffness, and air film&#xD;
clearance changed in relation to each other. Their results showed that even minor changes in foil thickness, bump height, and&#xD;
bump pitch had a significant impact on bearing performance. With their discoveries, these engineers have unlocked a new&#xD;
understanding of this complex technology - one that will help guide its continued development into the future. The thickness of&#xD;
the foil may not confer much strength, but it certainly does wonders for reducing stress and maintaining load-bearing&#xD;
capabilities. Its suppleness, however, cannot be denied – a boon for air foil bearings.
Page(s): 603-608</summary>
    <dc:date>2023-06-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>Solar PV Transient Mitigation using Superimposed Sliding Mode-Perturb and Observe MPPT under Varying Irradiation Conditions</title>
    <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/62012" />
    <author>
      <name>Mohanty, Ashutosh</name>
    </author>
    <author>
      <name>Rout, Bidyadhar</name>
    </author>
    <id>http://nopr.niscpr.res.in/handle/123456789/62012</id>
    <updated>2023-06-06T10:42:45Z</updated>
    <published>2023-06-01T00:00:00Z</published>
    <summary type="text">Title: Solar PV Transient Mitigation using Superimposed Sliding Mode-Perturb and Observe MPPT under Varying Irradiation Conditions
Authors: Mohanty, Ashutosh; Rout, Bidyadhar
Abstract: Varying weather specifically temperature and irradiation have a significant impact on Solar Photo Voltaic (SPV) output&#xD;
performance and efficiency. Both the output voltage and power are unstable due to the unwanted solar fuel variation.&#xD;
Therefore, Maximum Power Point Tracking (MPPT) plays an important role in the case of SPV. Although different MPPT&#xD;
techniques are imposed to mitigate the above-said issues, the Perturb and Observe (P&amp;O) is unique in its operation and&#xD;
simple to design. But when P&amp;O comes under a sudden large variation of solar parameters, it fails to track and move away&#xD;
from the Maximum Power Point (MPP). A sliding mode controller superimposed with conventional P&amp;O known as&#xD;
Superimposed Sliding Mode Controller-P&amp;O (SISMC-PO) is proposed in this paper that improves the tracking accuracy and&#xD;
tries to minimize the transient disturbance during the rapid change in irradiation. Input side capacitor current and error in&#xD;
SPV voltage with reference voltage are taken as the input to the SMC whereas solar voltage and current are taken as the&#xD;
input to the P&amp;O MPPT. SISMC-PO produces highly efficient and robust control of the switching frequency with a suitable&#xD;
step size that drives the switch of the DC-DC boost converter which is tested and verified by MATLAB/SIMULINK.
Page(s): 609-615</summary>
    <dc:date>2023-06-01T00:00:00Z</dc:date>
  </entry>
  <entry>
    <title>QoS Improvement using Enhanced Manhattan Mobility Model on Proposed Ant Colony Optimization Technique in MANETs</title>
    <link rel="alternate" href="http://nopr.niscpr.res.in/handle/123456789/62011" />
    <author>
      <name>Kour, Satveer</name>
    </author>
    <author>
      <name>Ubhi, Jagpal Singh</name>
    </author>
    <author>
      <name>Singh, Manjit</name>
    </author>
    <id>http://nopr.niscpr.res.in/handle/123456789/62011</id>
    <updated>2023-06-06T10:40:46Z</updated>
    <published>2023-06-01T00:00:00Z</published>
    <summary type="text">Title: QoS Improvement using Enhanced Manhattan Mobility Model on Proposed Ant Colony Optimization Technique in MANETs
Authors: Kour, Satveer; Ubhi, Jagpal Singh; Singh, Manjit
Abstract: In the current Mobile Ad-hoc Network (MANET) route discovery procedure, traffic overflow and overhead may pose a&#xD;
major challenge for a path finding between communicating nodes. Swarm intelligence technique has been applied for&#xD;
various routing problems. We suggest an ant-based bottleneck routing method for MANET to identify weak links in the&#xD;
chosen route for routing overhead and delay issues. During data exchange, it selects the route using a swarm based&#xD;
technique called Ant Colony Optimization (ACO). Initially, we have created node movements by Enhanced Manhattan&#xD;
Mobility Model (EMMM) and then a bottleneck value based ant colony optimization technique is applied. The&#xD;
simulation results show the improvement over existing ACO technique in terms of mobility and pause time. The Quality of&#xD;
Service (QoS) performance metrics showed improvement of 66% in drop rate, 141% in the packet delivery ratio, 42% in&#xD;
packet overhead, 171% in throughput, and 34% in the average end-to-end delay for mobility experiment. There is an&#xD;
improvement of 82% in drop rate, 108% in the packet delivery ratio, 45% in packet overhead, 171% in throughput, and 49%&#xD;
in the average end-to-end delay for a pause time experiment.
Page(s): 616-628</summary>
    <dc:date>2023-06-01T00:00:00Z</dc:date>
  </entry>
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