MESII - 2022http://dl.lib.uom.lk/handle/123/195292024-03-28T11:47:30Z2024-03-28T11:47:30ZMaterials Engineering Symposium on Innovations for Industry 2022 - Pre Texthttp://dl.lib.uom.lk/handle/123/197812023-10-13T02:35:12Z2022-11-01T00:00:00ZMaterials Engineering Symposium on Innovations for Industry 2022 - Pre Text
Abeygunawardana, AAGA
2022-11-01T00:00:00ZA monitoring method for the degree of curing in epoxy adhesives using direct current resistivityJanith, GIHerath, WHSWeragoda, VSChttp://dl.lib.uom.lk/handle/123/197802023-10-13T02:34:57Z2022-11-01T00:00:00ZA monitoring method for the degree of curing in epoxy adhesives using direct current resistivity
Janith, GI; Herath, WHS; Weragoda, VSC
Abeygunawardana, AAGA
Adhesive bonding is a widely used technique in material joining. Research focused on enhancing the properties of resin-based adhesive systems is critically important in manufacturing quality control. One specifically important aspect is the monitoring of cure progression of the adhesive. Commonly practiced cure monitoring methods such as Differential Scanning Calorimetry (DSC), Dielectric Analysis (DEA) and Dynamic Mechanical Analysis (DMA) are ideal for laboratory evaluations but not conducive for in-situ cure monitoring. In-situ cure monitoring techniques are vital as they provide better control over processing parameters. This study introduces a Direct Current Resistivity (DCR) based cure monitoring method. It is simple, cost-effective, reliable, and more importantly, industry friendly. The fast response of direct current measurements combined with the simplicity of the analysis makes this method suitable for real-time cure monitoring.
2022-11-01T00:00:00ZNumerical simulation of lead-free bismuth perovskite by using scaps (solar cell capacitance simulator)Akmal, UKDMFernando, WMTVGalhenage, AShttp://dl.lib.uom.lk/handle/123/197792023-10-13T02:35:05Z2022-11-01T00:00:00ZNumerical simulation of lead-free bismuth perovskite by using scaps (solar cell capacitance simulator)
Akmal, UKDM; Fernando, WMTV; Galhenage, AS
Abeygunawardana, AAGA
A perovskite solar cells were studied using the Solar cell capacitance simulator (SCAPS). The effect of the cation on the performance of perovskite solar cells with MA3Bi2I9 as the light-absorbing material and perovskite solar cells with Cs3Bi2I9 as the light-absorbing material were simulated and compared. MA3Bi2I9 and Cs3Bi2I9 achieved efficiencies of about 8.6% and 13.6%, respectively. The fluctuation in light absorption caused by the cations significantly affects the performance of perovskite solar cells. This research also investigated the effects of band-to-band recombination, absorber layer defect density, perovskite-electron transport layer interface defect density, perovskite-hole transportation layer defect density, series resistance, shunt resistance, and operating temperature on the solar cell performances.
2022-11-01T00:00:00ZMathematical modelling of mechanical behavior in randomly oriented micro crystalline cellulose-based polymer compositeArthanayake, SAMASBPallewela, RSJAmarasinghe, DASSamarasekara, AMPBhttp://dl.lib.uom.lk/handle/123/197782023-10-13T02:35:22Z2022-11-01T00:00:00ZMathematical modelling of mechanical behavior in randomly oriented micro crystalline cellulose-based polymer composite
Arthanayake, SAMASB; Pallewela, RSJ; Amarasinghe, DAS; Samarasekara, AMPB
Abeygunawardana, AAGA
There are many theoretical models to predict the mechanical properties of Continuous long-fiber composites. But there is no proper mathematical model for randomly oriented short fiber composites (ROFC). This research aims to develop a useful mathematical model from fundamentals for a randomly oriented short fiber reinforced composite. The developed theoretical model was validated using a computational Analysis.
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