Showing 1,321 - 1,340 results of 2,212 for search '(((pinn OR (pinned OR finned)) OR (fine OR pinened)) OR ((pinna OR pin) OR min))', query time: 0.19s Refine Results
  1. 1321

    Potential of Pressmud Waste from Sugar Industry in Brick Manufacturing for Green Business and Sustainability by Mohamad, Maheera, Chong, Khai Lin, Abdul Nasir, Muhammad Hafeez, Abidin, Rahimi, Abu, Noor Hidayah, Razalli, Mohd Rizal, Taib, Che Azlan, Mohd Yusoff, Yuhainis, Chellamuthu, Vignes

    Published 2024
    “…This study investigates the feasibility of using pressmud, a sugarcane refinery waste, as a fine bio-aggregate for the production of construction materials. …”
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    Article
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    Microstructural inhomogeneity of a 3D-printed nickel aluminium bronze by Tan, Yi Xuan

    Published 2022
    “…Different printing speeds of 0.5,1 and 2m/min will be applied to prepare samples with inhomogeneous microstructure using laser metal deposition. …”
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    Final Year Project (FYP)
  7. 1327
  8. 1328

    Dry machining of inconel 718 by Leong, Ceng Yew

    Published 2016
    “…The experimental results showed that dry machining using coated carbide insert had the best results at a cutting speed of 100 m/min. Besides that, the insert that had a two-step chip breaker was better for dry cutting. …”
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    Final Year Project (FYP)
  9. 1329

    Thermal and structural study of BIVOX undoped and doped with La in various atmosphere toward applications in IT-SOFC by Paściak, Grzegorz, Chmielowiec, Jacek, Chan, Siew Hwa

    Published 2016
    “…DSC studies of both electrolytes were performed during a heating and cooling scan at a rate of 10 °C/min. The possibility of the application of the BILAVOX electrolyte for intermediate temperature solid oxide fuel cell (IT-SOFC) is discussed.…”
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    Journal Article
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    Predicting future fallers in Parkinson’s disease using kinematic data over a period of 5 years by Sotirakis, C, Brzezicki, MA, Patel, S, Conway, N, FitzGerald, JJ, Antoniades, CA

    Published 2024
    “…Data from 104 people with PD without prior falls were collected using six wearable sensors during a 2-min walk and a 30-s postural sway task. Five machine learning classifiers analysed the data. …”
    Journal article