Authors: Jamila Elbrymy, Mustapha Boumhaout, Soufiane Oukach, Hassan Hamdi, Mhaijiba Belhous, Mohammed El Hattab
Abstract: As part of a sustainable development approach, global energy consumption continues to rise, fueled by industrial development and rapid urbanization. This growth poses major challenges in terms of increased demand for buildings, which in turn leads to a significant increase in energy demand, making it essential to assess the consequences of this increased energy consumption on the climate and identify viable alternatives. Enhancing energy efficiency is crucial for minimizing our carbon footprint. By implementing measures to optimize the use of energy resources. Currently, the construction industry is seeking to reduce energy consumption by designing and manufacturing more environmentally-friendly and sustainable building materials. In this work we studied the thermal behavior of a building, in Atlantic climate, constructed with a composite material based on alfa fibers using TRNSYS software. The results show that the energy performance of the investigated building is improved by 17% for cooling and 23% for air-conditioning.
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Authors: Igor Olegovich Bobarika, Ljubov Aleksandrovna Bokhoeva
Abstract: In modern conditions of expanding the use of intelligent manufacturing technologies and increasing requirements for the physical and mechanical characteristics of parts, modeling and assessment of the physical and mechanical characteristics of parts should begin with obtaining correct initial data on the structure of the parts material, taking into account its technological history. However, for some of production technologies, in present time, it’s quite problematic to obtain correct data to take into account a huge number of factors. For example, in the manufacture of thin-walled, low-rigidity parts from polymer composite materials (PCM) using the technology of autoclave vacuum infusion molding with after-heating, the influence of external factors is very huge. This is most noticeable in the manufacture of large low-rigidity parts, for which after-heating is possible only outside the autoclave, or, sometimes, only without removing the part from the mold equipment.
109
Authors: Yuan Zheng Luo, You Qi Wan, Wei Hong
Abstract: In this paper, we developed a three-dimensional percolation model to investigate the effects of the concentration and morphology of CNTs (carbon nanotubes) on the electrical conductivity of the nanocomposites. In the model, we judged the connections between CNTs by range search algorithm based on KD-Tree structure. At the same time, DIJKSTRA-Melissa algorithm was applied to efficiently find all the conductive paths instead of finding conductive network in traditional methods. From the simulation results, CNTs with higher aspect ratio were easier to form the conductive network. In a certain range of CNT’s concentration, the relationship between the conductivity of the conductive network and the carbon nanotubes was basically consistent with the classical percolation theory. To verify our simulation model, the morphological, electrical properties of Carbon nanotubes (CNTs)/poly(dimethyl siloxane) (PDMS) nanocomposites with different aspect ratio (AR) of MWNTs were systematically studied. In conclusion, these unique advantageous properties could be exploited to suggest potential applications of artificial electronic skin.
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Authors: Irina Khaimovich, Mikhail Aleksandrovich Frolov
Abstract: This paper presents an approach to identify the production capacities that must be replaced by new equipment in accordance with the sales implementation strategy on the market. The results of the performance evaluation of the new generation of machines are reported using techniques for defining the labor intensity, cost, production capacity with possibility to create casting process in simulation package.
487
Authors: Xin Jin, Wen Zhong Lou, Ming Ru Guo, Xi Ming Dai
Abstract: Cloud forming by solid explosive dispersal plays a decisive factor for twice-detonating FAE. The study of the flow field of internal cloud field can be more intuitive to understand the whole process of the formation of cloud diffusion, and it also has an important role to the delay time setting of secondary detonating fuze. Internal parameters of spreading cloud are difficult to obtain even through by the experiment method, but numerical analysis and simulations method can get the parameter. In this paper, we use experimental and simulation methods to study fuel dispersal process, aims to establish an effective and reliable mathematical models of cloud dispersal, and get the model data coinciding with the real situation.
942
Authors: Jing Hua Li, Jiang Jiang Li
Abstract: Using of the simulation tool Romaxdesigner to designe new seven-speed Automatic Transmission and get the reasonable spatial arrangement .Meanwhile ,the simulation results prove the reasonable of leverage method applied in designing the Automatic Transmission .
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Abstract: Hybrid assembly production sequencing directly affects the continuity, balance and punctuality of production process. First, the sets of sequencing scheme of minimum makespan was selected. Furthermore, workshop simulation models with Flexsim software were established, then obtained the value of makespan, the number of WIP and equipment utilization rate. Finally, according to the evaluation criterion of minimum makespan and number of WIP and maximum equipment utilization rate, evaluation performance function of hybrid assembly sequencing scheme was built and the optimal overall performance sequencing scheme was selected. In this paper, the car seat hybrid assembly production line was employed to analyze the sequencing as an example, and the obtained car seat production line sequencing scheme improves production capacity.
5844
Authors: Ming Hua Li, Zhen Zhou Yuan, Yan Xu
Abstract: In this paper, we present a developed cellular automata model to simulate the pedestrians’ crowd behaviors in congested public facility during emergency evacuation. Pedestrian perception and choice behavior considering the queue time of door changing were investigated in pedestrian decision and evacuation time. The model was used to mimic the emergency evacuation with a range of densities for the study of relationship between individual behavior and evacuation time. The results indicate that pedestrian is sensitively for the queue time and prefer to change the exit if the evacuation time perceived by the pedestrian is large then other exit during the escape process. The model is useful to study the pedestrian’s behavior during the emergency evacuation, and helpful for safe layout of the public facilities.
223
Authors: Hong Yan Yu, Ran Zhang, Sheng Yan Li
Abstract: Emphasizing the emergency state of post-earthquake epidemic and delivering sufficient quantities of vaccine to the affected areas in time cast a great significance on prevention and control of epidemic. This paper focuses on optimization problem of anti-epidemic vaccine cold-chain emergency transport processes. In the first place, we construct and optimize transport processes with the help of vaccine cold chain logistics theory. Then we assume WenChuan Earthquake as background, with an example of health and epidemic prevention work of the earthquake-stricken city and the surrounding county of A (X County), and utilize ExtendSim to establish the model. Results show that at the same period, cold chain of optimized ‘Network Parallel’ supplies almost forty times as many as former type of ‘Tandem’ does in delivering vaccine to earthquake-stricken places and that optimized cold chain maintains homeostasis.
2220
Abstract: The material damages in aerospace industry caused by correction can be detected in many different products including welded and bolted areas in aircraft and jet engines. The corrosion occurs when different conducted materials contact to each other in electrolyte media and different conducted materials present potential difference that causes rusting. The rusting problems in products lead both safety issues and billions of dollar loss in different businesses including aerospace industry. This paper studies the rusting mechanism and anti-corrosive coatings by applying computational simulation and prototype experiment. Both computer-aided analysis and sample testing demonstrated similar results which confirm the feasibility of analytic methodology introduced in this research paper. Keywords: Nanotechnology, computer-aided analysis, nanocoating control, anti-corrosion, simulation modeling
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