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Properties of hydroxyapatite synthesize by wet chemical method
S. Ramesh,S. Adzila,C.K.L. Jeffrey,C.Y. Tan,J. Purbolaksono,A.M. Noor,M.A. Hassan,I. Sopyan,W.D. Teng 한양대학교 세라믹연구소 2013 Journal of Ceramic Processing Research Vol.14 No.4
The sintering behavior of a commercial HA and synthesized HA was investigated over the temperature range of 700 o C to 1400 o C in terms of phase stability, bulk density, Young’s modulus and Vickers hardness. In the present research, a wet chemical precipitation reaction was successfully employed to synthesize a submicron, highly crystalline, high purity and single phase stoichiometric HA powder that is highly sinteractive particularly at low temperature regimes below 1100 o C. It has been revealed that the sinterability of the synthesized HA was significantly greater than that of the commercial HA. The temperature for the onset of sintering and the temperature required to achieve densities above 98% of theoretical value were approximately 150 o C lower for the synthesized HA than the equivalent commercial HA. Nevertheless, decomposition of HA phase upon sintering was not observed in the present work for both powders.
A.M. Noor Azammi,S.M. Sapuan,M.R. Ishak,M.T.H. Sultan 한국섬유공학회 2018 Fibers and polymers Vol.19 No.2
In this paper, natural rubber (NR) was mixed with thermoplastic polyurethane (TPU) and kenaf as filler reinforcement for the polymer composite. Mixing the material using the internal mixer and hot press machine was able to blend the material homogeneously. Investigation of the new polymer composite characterisation was carried out by thermal gravimetric analysis (TGA), along with tensile, flexural and impact tests. The TGA for the polymer composite achieved 322 ℃ before degradation and increase in tensile and impact strength with the increase of TPU in the polymer composite matrices were observed. The result indicated an improvement in tensile, flexural and impact strength for the kenaf filled TPU-NR composites. The mixing of kenaf fibre and TPU-NR polymer showed degradation that was gradually diminishing turned into ashes. TGA result showed all compositions of kenaf filled TPU-NR composites samples shared the same peak temperature, being degraded at 600 ℃.
Bashar S. Mohammed,Muhammad Aswin,M. S. Liew,Noor Amila Wan Abdullah Zawawi 한국콘크리트학회 2019 International Journal of Concrete Structures and M Vol.13 No.6
Twenty-seven large-scale beams with dapped-end have been prepared, cast and tested to failure in the three points loading arrangement. One control beam has been designed in accordance with requirement of standard code while the dapped-end reinforcement scheme of other beams has been derived from the control beam. In selected beams, engineered cementitious composites (ECC) has been utilized in the dapped-end region. The test results exhibited that DR is more appropriate and higher capacity than HR in resisting the shear force. In addition, the reinforced engineered cementitious composites dapped-end beams (R-ECC-DEB) showed higher structural performance compared to the normal reinforced concrete dapped-end beams (RC-DEBs). The strength of ECC also has direct effect on the failure capacity of the R-ECC-DEB, in which higher strength of ECC leads to higher failure capacity of R-ECC-DEB.
Machine Learning Technique for the Prediction of Blended Concrete Compressive Strength
Dawood S. A. Jubori,Abu B. Nabilah,Nor A. Safiee,Aidi H. Alias,Noor A. M. Nasir 대한토목학회 2024 KSCE Journal of Civil Engineering Vol.28 No.2
Predicting concrete strength is complex due to the high non-linearity involved in strength development, especially when using supplementary cementitious materials (SCMs) such as fly ash, silica fume, and GGBS. In this paper, an artificial neural network has been used to predict the compressive strength of concrete for four cases, namely concrete without cement replacement, and binary, ternary, and quaternary cement concretes corresponding to one, two and three different SCMs in the mix. To predict the strength accurately, a total of 1013 data were collected from 37 literature and trained using two training algorithms namely Levenberg-Marquardt (LM) and Bayesian Regularization (BR). The best predictions were achieved using one hidden layer with 14 and 15 neurons for LM and BR algorithms respectively. A high accuracy has been achieved with a correlation factor of 0.97 and 0.966 using the BR and LM algorithms respectively, with a20-index of 83%. Generally, the BR algorithm gives a better overall performance, while underestimating the compressive strength compared to LM. Sensitivity analysis has also been investigated using linear and quadratic regressions. The findings showed that the highest contributors to concrete strength were cement and water, while the lowest contributor was coarse aggregate.
Analysis of a busy signalized intersection
D. MICHIKO M. NOOR,S.R. PUDJAPRASETYA 장전수학회 2019 Advanced Studies in Contemporary Mathematics Vol.29 No.1
One way to alleviate trac congestion at busy intersections in major cities is by building yovers bridge (and or an underpass). The yover facilitates the trac ow in the directions of the bridge. Before construction, assessment study is needed to estimate the appropriate y- over dimension, as well as how well the yover built accommodates high trac demand in that area. One of the busiest intersections in Bandung City was chosen here as a case study, it is the Buah Batu-Kiara Condong intersection. The eectiveness of the proposed yover construction was evaluated for varying levels of trac volume by comparing the average delay, and the average queue length. To avoid a secondary problem, traf- c operations for roads underneath a yover was also discussed. Further, simulations of the congested and uncongested vehicles pattern behind a signalized intersection were provided; the long vehicles queue, exceed- ing 0.5 km before yover construction would be reduced to less that 0.1 km, if there is a yover. These results showed the eectiveness of the proposed layout. Furthermore, assessment study implemented here can serve as an example to be applied to other intersections.
Refraction Notice Regarding: "The Scenario of Norovirus Contamination in Food and Food Handlers"
( Than Zainazor C. ),( M. S. Noor Hidayah ),( L. C. Chai ),( R. Thnung ),( F. Mohamad Ghazali ),( R. Son ) 한국미생물 · 생명공학회 2011 Journal of microbiology and biotechnology Vol.21 No.6
We hereby retract this article. After publication of the article, it was found that significant sections of the text and data presented in the paper were plagiarized from several other articles. The corresponding author (Dr. Tuan Zainazor, C.) has accepted these findings and penalties imposed by the Committee for Research Integrity of the Korean Society for Microbiology and Biotechnology (KMB) in relation to the acts of plagiarism. We extend our sincere apologies to the KMB community, and to the editors, reviewers, staff, and readers of the Journal of Microbiology and Biotechnology for having published the article containing plagiarism.