Search Results - "Akram, Muhammad Ammar"

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  1. 1

    Nanoparticles enhanced phase change materials (NePCMs)-A recent review by Tariq, Syeda Laraib, Ali, Hafiz Muhammad, Akram, Muhammad Ammar, Janjua, Muhammad Mansoor, Ahmadlouydarab, Majid

    Published in Applied thermal engineering (25-07-2020)
    “…•Addition of nanoparticles, with specific volume concentration, enhanced the thermal conductivity of base PCM.•Application of NePCMs in buildings reduced the…”
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    Journal Article
  2. 2

    Experimental investigation on graphene based nanoparticles enhanced phase change materials (GbNePCMs) for thermal management of electronic equipment by Tariq, Syeda Laraib, Ali, Hafiz Muhammad, Akram, Muhammad Ammar, Janjua, Muhammad Mansoor

    Published in Journal of energy storage (01-08-2020)
    “…•Addition of NePCMs in the heat sink, reduced its base temperature.•At 0.86KW/m2 of heat input, RT-44HC has shown maximum temperature reduction of 25% whereas,…”
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    Journal Article
  3. 3

    The effect of grid generated turbulence on the fluidelastic instability response in parallel triangular tube array by Akram, Muhammad Ammar, Khushnood, Shahab, Tariq, Syeda Laraib, Nizam, Luqman Ahmad, Ali, Hafiz Muhammad

    Published in Annals of nuclear energy (01-08-2021)
    “…•With the increase in the upstream turbulence, the stability threshold tends to be delayed.•For multiple flexible case, stability threshold tends to move…”
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    Journal Article
  4. 4

    Vibration Based Gear Fault Diagnosis under Empirical Mode Decomposition and Power Spectrum Density Analysis by Akram, Muhammad, Khushnood, Shahab, Tariq, Syeda, Ali, Hafiz, Nizam, Luqman

    “…Rotating machinery holds a noteworthy role in industrial applications and covers a wide range of mechanical equipment. Vibration analysis using signal…”
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    Journal Article
  5. 5

    System Design for Early Fault Diagnosis of Machines using Vibration Features by Khan, Muhammad Umar, Imtiaz, Muhammad Atif, Aziz, Sumair, Kareem, Zeeshan, Waseem, Athar, Akram, Muhammad Ammar

    “…The faults diagnosis of machines consists of feature extraction and classification of faults. The fault diagnosis process is based on the fact that each fault…”
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    Conference Proceeding