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    <title>NOPR Collection:</title>
    <link>http://nopr.niscpr.res.in/handle/123456789/63329</link>
    <description />
    <pubDate>Sun, 11 Oct 2026 09:23:32 GMT</pubDate>
    <dc:date>2026-10-11T09:23:32Z</dc:date>
    <item>
      <title>Development and Verification of Electrokinetic Injection Logical Control Mode in Microfluidic Device</title>
      <link>http://nopr.niscpr.res.in/handle/123456789/63340</link>
      <description>Title: Development and Verification of Electrokinetic Injection Logical Control Mode in Microfluidic Device
Authors: Pan, Yu-Jen
Abstract: This study presents a methodology for discretely injecting sample flows propelled by electroosmosis within a microfluidic device. The inquiry begins by analyzing the buffer distance required to hinder diffusion between successive distinct sample entities. Following this, a systematic formulation is developed to identify operational parameters that ensure the comprehensive deposition of the specimen segment into the assigned discharge reservoir. The results indicate that precise manipulation of voltages applied to the microfluidic device's various inlet and outlet channels enables the automatic and continuous delivery of samples with varying lengths to specified outlet reservoirs. Experimental evidence supports the claim that applying a voltage to the non-receiving reservoir during injection enhances the microfluidic device's injection performance by preventing sample leakage. Furthermore, findings from both experimental and numerical analyses suggest that optimizing the spatial configuration of the outlet channels enhances the overall efficiency of the injection process.
Page(s): 123-129</description>
      <pubDate>Thu, 01 Feb 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://nopr.niscpr.res.in/handle/123456789/63340</guid>
      <dc:date>2024-02-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Volume Optimization of Two-Stage Helical Gear Train using Differential Evolution Algorithm</title>
      <link>http://nopr.niscpr.res.in/handle/123456789/63339</link>
      <description>Title: Volume Optimization of Two-Stage Helical Gear Train using Differential Evolution Algorithm
Authors: Kumar, Vikash; Singh, Sachin Kumar
Abstract: In high-performance power transmission systems like automotive and aerospace, the proper gear train design is essential&#xD;
because it requires minimum weight and high-efficiency gearboxes with maximum service life. An iterative design method&#xD;
that takes into account all viable design options is used to achieve the desired outcome. This procedure cannot be automated&#xD;
using the traditional methods utilized in its design. As a result, this paper makes an attempt to automate the gear train's&#xD;
preliminary design. This paper uses the Differential Evolution (DE) optimization technique and a dynamic penalty function&#xD;
to optimize the two-stage helical gear train's design parameters by minimising the objective function i.e., the gear train's&#xD;
overall geometrical volume (size). The objective function is constrained by bending force, surface fatigue strength, and&#xD;
interference equations of helical gear train with the design variables such as number of teeth, face width, module, and helix&#xD;
angle of each gear. Ranges of design parameters are taken from the manufacturer's catalogue. The optimised design&#xD;
parameters obtained from the proposed approach are compared and validated with the standard gear parameters (i.e.,&#xD;
catalogue value) and with the results published in the literature applying other optimising approaches such as Genetic&#xD;
Algorithm (GA) and Fminsearch Solver (FS). The proposed approach shows a significant reduction i.e., 18.51% with GA&#xD;
and 18.14% with FS in the overall geometrical volume (size) of the two-stage helical gear train as compared to the published&#xD;
work. The presented approach enhances the design optimization problem of gear train which may be used in automobile,&#xD;
aircrafts, and robotics application for optimal performance.
Page(s): 130-138</description>
      <pubDate>Thu, 01 Feb 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://nopr.niscpr.res.in/handle/123456789/63339</guid>
      <dc:date>2024-02-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Hybrid WCMFO Algorithm for Microhardness Improvement in Roller Burnishing of Brass (C3604)</title>
      <link>http://nopr.niscpr.res.in/handle/123456789/63338</link>
      <description>Title: Hybrid WCMFO Algorithm for Microhardness Improvement in Roller Burnishing of Brass (C3604)
Authors: Tamilarasan, A; Renugambal, A
Abstract: Roller burnishing is a surface improvement technique that creates residual compressive stress in the workpiece surface&#xD;
layers. Compressive surface stress generation may increase surface hardness, which in turn enhances fatigue and corrosion&#xD;
resistance and overall surface quality. In order to optimize the process parameters in roller burnishing of brass, the present work&#xD;
unveils an application of Response Surface Methodology (RSM) and hybrid Water Cycle Moth Flame Algorithm (WCMFO)&#xD;
technique. Three input process parameters viz. burnishing speed, depth of penetration and feed rate have been investigated and&#xD;
modelled for Microhardness (HV) utilizing RSM based central composite design. In present experimentation, quadratic model&#xD;
has been suggested for surface hardness. Following validation of the model’s validity, the model was coupled with a new&#xD;
metaheuristic based hybrid WCMFO algorithm to optimize the burnishing parameters for maximum Microhardness. So as to&#xD;
prove the enhancement, the optimal burnishing parameters were tested. A substantial relationship was observed between the&#xD;
predicted micro hardness and the experimental values.
Page(s): 139-145</description>
      <pubDate>Thu, 01 Feb 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://nopr.niscpr.res.in/handle/123456789/63338</guid>
      <dc:date>2024-02-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Characterization and Synthesis of Biocomposite Film with Coir and Polyvinyl Alcohol/Polyethylene Glycol</title>
      <link>http://nopr.niscpr.res.in/handle/123456789/63337</link>
      <description>Title: Characterization and Synthesis of Biocomposite Film with Coir and Polyvinyl Alcohol/Polyethylene Glycol
Authors: Vandna; Gond, Devendra Kumar; Yadav, Brijesh Kumar; Priyadarshan, Shakti; Yadav, Vijay Laxmi
Abstract: This study explores the synthesis of biodegradable composite films by incorporation of different amounts of&#xD;
polyethylene glycol with polyvinyl alcohol, untreated coir and treated coir using the solution casting method. The effect of&#xD;
polyethylene glycol on the structure and properties of the synthesized biocomposite films was investigated. The increased&#xD;
ratio of polyvinyl alcohol/polyethylene glycol resulted in decreased tensile strength. This investigation revealed that the&#xD;
incorporation of 10 wt% polyethylene glycol with polyvinyl alcohol was sufficient to synthesize the biocomposite film and&#xD;
resulted in tensile strength of 28.14 MPa. It was observed that the incorporation of 30 wt% polyethylene glycol led to phase&#xD;
separation with the tensile strength of 18.33 MPa and hence, 10 wt% polyethylene glycol incorporation is best among the&#xD;
tested treatments for synthesizing biodegradable composite film.
Page(s): 146-152</description>
      <pubDate>Thu, 01 Feb 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://nopr.niscpr.res.in/handle/123456789/63337</guid>
      <dc:date>2024-02-01T00:00:00Z</dc:date>
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