Applied Mechanics and Materials Vol. 483

Abstract: Knowledge management in advanced manufacturing industries is a complex process. The paper analyzes knowledge application scenarios in product development processing. There are complex relationships between knowledge, product, process and designers, which four key elements are proposed for knowledge tracing modeling. Knowledge tracing modeling based four key elements for product design knowledge management is studied carefully. The research for knowledge tracing modeling will enable software function development.

Abstract: The main purpose of this paper is to present an aerospace engineering application of topology optimization for maximizing eigenvalue problem. In this problem, the internal structure of a rocket which is supposed to support four satellites needs to be designed. To improve the vibration performance of the whole structure, the topology optimization technology is introduced to gain a suitable structure configuration. To simplify the model, satellites are regarded as lumped masses and connecting to their supporting structure with rigid links.

Abstract: The paper is to present the method of topology optimization with multi fasteners shear constraint. The further studies on analyzing the influence of different shear load constraint on the optimized structure shows that the constraint of shear load has great influence on the structural configuration. When the constraint is low, the load concentration is reduced while the configuration with delicate truss is lack of manufacturability.

Abstract: The strategic object of the innovation process in the raw materials extracting and treatment area is a sustainable development in all its components, particularly in the material, economic, environmental and energy. The paper presents a concrete contribution to the achievement of this goal by applying the principles of logistics in technical and technological optimization of rotary kilns operation with a positive impact in the energetic field especially. Rotary kilns are a long-term core technology of heat aggregates within the mining industry. Today there is a characteristic potential optimization exhaustion of classical optimization approaches and persistent lack of a major operation - high specific fuel consumption. The article presented a solution focused at eliminating the furnace jacket heat loss, which represents around 30% of the total energy output of the burning process and the largest energetic loss. The basis of the presented innovative solutions - the controlled cooling of the furnace jacket is the perfect knowledge of thermodynamics, hydro-mechanical and rheological flows in the process of burning in a rotary kiln and logistics optimization approaches application. The developed controlled furnace cooling jacket system delivers the performance and quality of the burning, reducing an overall energy consumption for the burning process in a rotary kiln by reducing rotary kiln shell losses and by use of the outgoing heat to the surroundings for the combustion air heating.

Abstract: This paper proposes an optimization algorithm which combines climb algorithm and ant algorithm and use it to solve optimization problems of fusion rules in distributed detection systems .Firstly, algorithm takes Bayes risk as the cost function, uses Climb-ant algorithm to optimize the sensors' decision threshold and Bayes criteria to solve the fusion rules of fusion center. Ultimately, we get the system's optimal (or suboptimal) fusion rules and realize the optimization of fusion rules in distributed detection system. Theoretical analysis and experimental results show that the new method has higher accuracy and efficiency of the solution than the traditional MAP (maximum a posteriori), SA-MAP, GA-MAP, and Coordinate Rotation Method.

Abstract: This paper implements a strategy to obtain the proportional-integral (PI) optimal operating point and find the description of the stability regions in the parameters space. In order to do this, the particle swarm optimization (PSO) algorithm has been used in this study. The intelligent algorithm which is artificial learning mechanism could find optimal operating points and generates the function of the best operating parameter in the PI control stability region. Then the graphical method can provide boundaries of the PI type controller space for close-loop wind turbine generator (WTG) systems. The proposed techniques are presented by using simulation results to the WTG model.

Abstract: Tower crane as the main equipment of building trades, the failure of Hoisting mechanism is particularly important for complete machine working performance and device safety. In this paper, the failure of tower crane hosting mechanism is analyzed, the failure mode of hoisting mechanism is researched, the failure probability of hoisting mechanism is built, the various factors in the work influence on the tower crane hoisting mechanism is analyzed, use coefficient modification method to correct influence factor of hoisting mechanism, according to the series system theory to calculate the failure probability of tower crane, Provide the basis for the whole risk assessment.

Abstract: According to the complexity of the assembly line for the large complex products, a new production pattern with fixed objects for the mixed model assembly line is proposed. Improved GA is used to solve the scheduling problem .In this paper, a production scheduling system is developed. It can speed up the production cycle, lower the cost, improve the productivity and so on.

Abstract: Taking the configuration design of the lifting device in a bridge crane as an example, this paper discusses the green optimal design method of enterprise's modular products with uncertain factors. The multi-layer generalized operators and comprehensive mathematical model under uncertainty are established based on the mapping relationship between product function and its structure. The model is transformed to an ascertaining combinatorial optimization model by de-fuzzy operator, and then it is solved by GA (Genetic Algorithm, GA). The method of chromosome encoding in binary that the chromosome is segmented by components and the genes in each segment are ranged as corresponding structures of each component, and the methods of selection and crossover and mutation operator are presented in this paper. The result of the green configuration design on the lifting device verifies the effectiveness and practical value of the method proposed in this paper.

Abstract: The lower vibration and lightweight design is of great significance to large mechanical equipment. In order to achieve the best dynamic performance of cranes, this paper presents a multi-objective optimization approach based on finite element method. Firstly, the finite element model of coupling system consist of gear-rotor-bearing-housing is established. Subsequently, the transient response of the gearbox is studied using modal superposition method. Then with the purpose of reducing the vibration and preventing sympathetic resonance, a multi-objective optimizer is developed by employing a parametrical design language and obtained the optimal combination of design parameters after several iterations. The method and conclusions can be used as a reference of dynamic modification of large machineries.