Identifying and Prioritizing Factors of the Formation of Sustainable Innovation in the Textile Industry

Raviye Gholamzadeh,Khorshid Khajeh,Saeed Shavvalpour,Majid Forouzanmehr 대한산업공학회 2018 Industrial Engineeering & Management Systems Vol.17 No.4

Considering the increasing expansion of industrial units nowadays and creating multiple problems for the environmentand the community, it is essential to guide the industry toward innovation at production processes, service of management,manufacturing processes and business practices while maintaining the economic, social and environmentalvalues. The main objective of this research is introducing the importance of sustainable innovation and developmentof the textile industry of the country, exploring solutions, identifying and prioritizing the factors affecting the developmentof sustainable innovation in this industry. This survey according to the purpose is operational, which is conductedbased on literature review and field study. After collecting the factors involved in the emergence of sustainableinnovation from the literature and interviews with experts and specialists; the contributing factors were adjusted in theform of six main components. In this research in order to test assumptions the Pearson correlation and SPSS softwarewere used and in order to check the suitability of the model and the importance of each factor, the confirmatory factoranalysis method and LISREL software were used. Therefore the influential factors according to their priorities are thegovernment political interventions, awareness and social demands, social commitment of the industry, factors withinthe organization, development of technology and sustainability of the supply chain; also three sub-factors of: creatingthe networks and strategic alliances with suppliers and distributors, transparent and efficient mechanisms for trackingsocial demands and transforming them into rules and related regulations, and the increase of people’s tendency in textileproducts with natural and recyclable fibers, were known as the most important sub-criteria for the formation ofsustainable innovation in this industry.

Elman ANNs along with two different sets of inputs for predicting the properties of SCCs

Atefeh Gholamzadeh-Chitgar,Javad Berenjian 사단법인 한국계산역학회 2019 Computers and Concrete, An International Journal Vol.24 No.5

In this investigation, Elman neural networks were utilized for predicting the mechanical properties of Self- Compacting Concretes (SCCs). Elman models were designed by using experimental data of many different concrete mixdesigns of various types of SCC that were collected from the literature. In order to investigate the effectiveness of the selected input variables on the network performance in predicting intended properties, utilized data in artificial neural networks were considered in two sets of 8 and 140 input variables. The obtained outcomes showed that not only can the developed Elman ANNs predict the mechanical properties of SCCs with high accuracy, but also for all of the desired outputs, networks with 140 inputs, compared to ones with 8, have a remarkable percent improvement in the obtained prediction results. The prediction accuracy can significantly be improved by using a more complete and accurate set of key factors affecting the desired outputs, as input variables, in the networks, which is leading to more similarity of the predicted results gained from networks to experimental results.

Modeling of neutron diffractometry facility of Tehran Research Reactor using Vitess 3.3a and MCNPX Codes

Z. Gholamzadeh, E. Bavarnegin,E. Bavarnegin,M.Lamehi Rachti,S.M. Mirvakili,M.H.Choopan Dastjerdi,H. Ghods,A. Jozvaziri,M. Hosseini 한국원자력학회 2018 Nuclear Engineering and Technology Vol.50 No.1

The neutron powder diffractometer (NPD) is used to study a variety of technologically important andscientifically driven materials such as superconductors, multiferroics, catalysts, alloys, ceramics, cements,colossal magnetoresistance perovskites, magnets, thermoelectrics, zeolites, pharmaceuticals,etc. Monte Carloebased codes are powerful tools to evaluate the neutronic behavior of the NPD. In thepresent study, MCNPX 2.6.0 and Vitess 3.3a codes were applied to simulate NPD facilities, which couldbe equipped with different optic devices such as pyrolytic graphite or neutron chopper. So, the MonteCarloebased codes were used to simulate the NPD facility of the 5 MW Tehran Research Reactor. Thesimulation results were compared to the experimental data. The theoretical results showed goodconformity to experimental data, which indicates acceptable performance of the Vitess 3.3a code in theneutron optic section of calculations. Another extracted result of this work shows that application ofneutron chopper instead of monochromator could be efficient to keep neutron flux intensity higherthan 106 n/s/cm2 at sample position.

NEUTRONICS INVESTIGATION OF CANADA DEUTERIUM URANIUM 6 REACTOR FUELED (TRANSURANICeTH) O2 USING A COMPUTATIONAL METHOD

ZOHREH GHOLAMZADEH,SEYED MOHAMMAD MIRVAKILI,HOSSEIN KHALAFI 한국원자력학회 2015 Nuclear Engineering and Technology Vol.47 No.1

Background: 241Am, 243Am, and 237Np isotopes are among the most radiotoxic componentsof spent nuclear fuel. Recently, researchers have planned different incineration scenariosfor the highly radiotoxic elements of nuclear waste in critical reactors. Computationalmethods are widely used to predict burnup rates of such nuclear wastes that are usedunder fuel matrixes in critical reactors. Methods: In this work, the Monte Carlo N-particle transport code was used to calculate theneutronic behavior of a transuranic (TRU)-bearing CANada Deuterium Uranium 6 reactor. Results: The computational data showed that the 1.0% TRU-containing thorium-based fuelmatrix presents higher proliferation resistance and TRU depletion rate than the otherinvestigated fuel Matrixes. The fuel matrix includes higher negative temperature reactivitycoefficients as well. Conclusion: The investigated thorium-based fuel matrix can be successfully used todecrease the production of highly radiotoxic isotopes

Synthesis of barium-doped PVC/Bi2WO6 composites for X-ray radiation shielding

Leila Gholamzadeh,Hamed Sharghi,Mohsen Khajeh Aminian 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.1

In this study, composites containing undoped and barium-doped Bi2WO6:Ba2þwere investigated for theirshielding against diagnostic X-ray. At first, Bi2WO6 and barium-doped Bi2WO6 were synthesized withdifferent weight percentages of barium oxide through a hydrothermal process. The as-synthesizednanostructures were characterized by X-ray diffraction (XRD), scanning electron microscopy (SEM),energy-dispersive X-ray spectroscopy (EDS) and Raman spectroscopy (RS). After that, some shields weregenerated with undoped and barium-doped Bi2WO6:Ba2þ nanostructure particles incorporated intopolyvinyl chloride (PVC) polymer with different thicknesses and 15% weight of the nanostructure. Finally,the prepared samples were exposed to an X-ray tube at 40, 80, and 120 kV voltages, 10 mAs and, 44.5 cmSID (i.e. the distance from the X-ray beam source to the specimen). Linear and mass attenuation coefficientswere also calculated for different samples. The results indicated that, among the samples, theone with 7.5 mmol barium-doped Bi2WO6 had the most attenuation at the voltage of 40kV, and theattenuation coefficients would increase with an increase in the amount of barium. The samples with 15and 17.5 mmol barium-doped Bi2WO6 had higher attenuation than the others at 80 and 120 kV. Moreover, the half-value layer (HVL), tenth-value layer (TVL) and 0.25 mm lead equivalent thicknesswere calculated for all the samples. The lowest HVL value was for the sample with 7.5 mmol bariumdopedBi2WO6. As the result clearly show, an increment in the barium-doping content leads to adecrease in both HVL and TVL. In every three voltages, 0.25 mm lead equivalent thickness of the barium-doped composites (7.5 mmoland 15 mmol) had less than the other composites. The lowest value of 0.25 mm lead equivalent thicknesswas 7.5 barium-doped in 40 kV voltage and 15 mmol barium-doped in 80 kV and 120 kV voltages. Theseresults were obtained only for 15% weight of the nanostructure.

COMPUTATIONAL INVESTIGATION OF 99Mo, 89Sr, AND 131I PRODUCTION RATES IN A SUBCRITICAL UO2(NO3)2 AQUEOUS SOLUTION REACTOR DRIVEN BY A 30-MEV PROTON ACCELERATOR

Z. GHOLAMZADEH,S.A.H. FEGHHI,S.M. MIRVAKILI,A. JOZE-VAZIRI,M. ALIZADEH 한국원자력학회 2015 Nuclear Engineering and Technology Vol.47 No.7

The use of subcritical aqueous homogenous reactors driven by accelerators presents anattractive alternative for producing 99Mo. In this method, the medical isotope productionsystem itself is used to extract 99Mo or other radioisotopes so that there is no need toirradiate common targets. In addition, it can operate at much lower power compared to atraditional reactor to produce the same amount of 99Mo by irradiating targets. In this study,the neutronic performance and 99Mo, 89Sr, and 131I production capacity of a subcriticalaqueous homogenous reactor fueled with low-enriched uranyl nitrate was evaluated usingthe MCNPX code. A proton accelerator with a maximum 30-MeV accelerating power wasused to run the subcritical core. The computational results indicate a good potential for themodeled system to produce the radioisotopes under completely safe conditions because ofthe high negative reactivity coefficients of the modeled core. The results show thatapplication of an optimized beam window material can increase the fission power of theaqueous nitrate fuel up to 80%. This accelerator-based procedure using low enricheduranium nitrate fuel to produce radioisotopes presents a potentially competitive alternativein comparison with the reactor-based or other accelerator-based methods. This systemproduces ~1,500 Ci/wk (~325 6-day Ci) of 99Mo at the end of a cycle.

Neutronic simulation of a research reactor core of (232Th, 235U)O 2 fuel using MCNPX2.6 code

FEGHHI, S. A.,REZAZADEH, M.,KADI, Y.,TENREIRO, C.,AREF, M.,GHOLAMZADEH, Z. Indian Academy of Sciences 2013 Pramana Vol.80 No.1