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Noor A Nawafleh,Muhanad M Hatamleh,Andreas Öchsner,Florian Mack 대한치과보철학회 2017 The Journal of Advanced Prosthodontics Vol.9 No.6
PURPOSE. To investigate the effect of reducing tooth preparation and ceramic thickness on fracture resistance of lithium disilicate crowns. MATERIALS AND METHODS. Specimen preparation included a standard complete crown preparation of a typodont mandibular left first molar with an occlusal reduction of 2 mm, proximal/axial wall reduction of 1.5 mm, and 1.0 mm deep chamfer (Group A). Another typodont mandibular first molar was prepared with less tooth reduction: 1 mm occlusal and proximal/axial wall reduction and 0.8 mm chamfer (Group B). Twenty crowns were milled from each preparation corresponding to control group (n=5) and conditioned group of simultaneous thermal and mechanical loading in aqueous environment (n=15). All crowns were then loaded until fracture to determine the fracture load. RESULTS. The mean (SD) fracture load values (in Newton) for Group A were 2340 (83) and 2149 (649), and for Group B, 1752 (134) and 1054 (249) without and with fatigue, respectively. Reducing tooth preparation thickness significantly decreased fracture load of the crowns at baseline and after fatigue application. After fatigue, the mean fracture load statistically significantly decreased (P<.001) in Group B; however, it was not affected (P>.05) in Group A. CONCLUSION. Reducing the amount of tooth preparation by 0.5 mm on the occlusal and proximal/axial wall with a 0.8 mm chamfer significantly reduced fracture load of the restoration. Tooth reduction required for lithium disilicate crowns is a crucial factor for a long-term successful application of this all-ceramic system.
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.
M.R. Noor El-Din,E.A. Kha 한국공업화학회 2015 Journal of Industrial and Engineering Chemistry Vol.24 No.-
This paper study the utilization of sulfidated poly (acrylamide-vinyl acetate) (SG), which is previously prepared by the expose of poly (acrylamide-vinyl acetate) copolymer (AG) to H2S gas (15 ppm), as a new corrosion inhibitor for carbon steel in acidic media. The corrosion inhibition efficiency of these inhibitors is detected in carbon steel surface in 1 M HCl solution by the weight loss and electrochemical techniques. Untreated and treated steel surfaces were examined by scanning electron microscopy (SEM). The obtained results show that the maximum inhibition efficiency (hp) by SG inhibitor in 1 M HCl solution at 500 ppm and 303 K was 96.71%. Also, the potentiodynamic polarization curves indicated that the investigated inhibitors behave as a mixed type inhibitor. Adsorption of these inhibitors on the carbon steel surface was found to obey Langmuir’s adsorption isotherm. Both of the computed quantum chemical properties viz., electron affinity (EA), highest occupied molecular orbital (EHOMO), the lowest unoccupied molecular orbital (ELUMO), energy gap DE = EHOMO–ELUMO, dipole moment (m), log P and DN showed good correlation with experimental inhibition efficiency.
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 ℃.
Study of electric vehicle battery reliability improvement
A. Ismail,W. Jung,M. F. Ariffin,S. A. Noor 한국신뢰성학회 2011 International Journal of Reliability and Applicati Vol.12 No.2
Due to restriction of vehicle emissions and high demand for fossil fuels nowadays, car manufacturers around the world are looking into alternative ways in introducing new car model that would vastly captured the market. Thus, Electric Vehicle (EV) has been further developed to take the advantage of the current global issues on price of fossil fuels and impact on the environment. Since car battery plays the crucial role on the overall performance of EV, many researchers have been working on improving the component. This paper focused on the reliability of EV battery which involves recognizing failure types, testing method and life prediction method. By focusing on these elements, the reliability feature being identified and as a result the batteries life will be prolonged.
M. Hassan,N.A. Noor,Q. Mahmood,B. Amin 한국물리학회 2016 Current Applied Physics Vol.16 No.11
In this study, we report the mechanical, structural, electronic, magnetic and optical behaviors in Zn1-xMnxS (0 ≤ x ≤ 1), which are determined by employing Wein2K code. The ferromagnetic (FM) state stability of the Zn1-xMnxS alloys has been elucidated from the calculated values of enthalpy of formation. The elastic constant (C11, C12, C14) are calculated to find various useful mechanical parameters, which depend upon Mn concentrations. The calculated electronic band structure and density of states (DOS) have demonstrated that exchange splitting through p-d hybridization, arising due to Mn impurities, stabilize a ferromagnetic state. The exchange splitting of the bands is further elucidated from the sharing of magnetic moment, charge and spin, between the impurity cations and the host lattice anions. Various parameters like direct spin-exchange splitting Dx(d), exchange constants N0a and N0b have also confirmed a stable ferromagnetic state. Various calculated optical parameters have indicated that the studied compounds respond to visible and ultraviolet energies. Moreover, the calculated optical band gap and static dielectric constant 31 (0) verify Penn's model. The studied compounds of Zn1-xMnxS have been shown theoretically that they find potential spintronic and optical device applications.
Some characterizations of harmonically log-convex functions
M. A. Noorian,K. I. Noor,M. U. Awan 장전수학회 2014 Proceedings of the Jangjeon mathematical society Vol.17 No.1
Some characterizations of harmonically log-convex functions
Noor iterations for nonlinear Lipschitzian strongly accretive mappings
정재욱,M. Aslam Noor,A. Rafiq 한국수학교육학회 2004 純粹 및 應用數學 Vol.11 No.4
In this paper, we suggest and analyze Noor (three-step) iterative schemefor solving nonlinear strongly accretive operator equationTx = f. The resultsobtained in this paper represent an extension as well as renement of previousknown results.1. IntroductionLetX be a real Banach space with normk kand dual X . An operatorT withdomain D(T) and range R(T) in X is said to beaccretive(cf. Browder [1], Kato