Tong Yifei

Research on Multidisciplinary Optimization Design of Bridge Crane

Bridge crane is one of the most widely used cranes in our country, which is indispensable equipment for material conveying in the modern production. In this paper, the framework of multidisciplinary optimization for bridge crane is proposed. The presented research on crane multidisciplinary design technology for energy saving includes three levels, respectively: metal structures level, transmission design level, and electrical system design level. The shape optimal mathematical model of the crane is established for shape optimization design of metal structure level as well as size optimal mathematical model and topology optimal mathematical model of crane for topology optimization design of metal structure level is established. Finally, system-level multidisciplinary energy-saving optimization design of bridge crane is further carried out with energy-saving transmission design results feedback to energy-saving optimization design of metal structure. The optimization results show that structural optimization design can reduce total mass of crane greatly by using the finite element analysis and multidisciplinary optimization technology premised on the design requirements of cranes such as stiffness and strength; thus, energy-saving design can be achieved.

Research on customer-oriented optimal configuration of product scheme based on Pareto genetic algorithm

Product configuration is the key to mass customization, which is based on configuration modeling and solutions. A customer-oriented optimal configuration model is built to achieve an optimal configuration for a product scheme. Based on a product platform and customer requirements, a dual-objective “performance-cost” optimization model for customized products is proposed. This model is based on the Pareto genetic algorithm for configuration optimization through which optimal solutions for customer requirements can be obtained, including multiple choices for selection as well as reference to schemes that can enable customers to participate in the product design. In this study, a case is studied to prove the feasibility and effectiveness of the proposed model.

Research on Charging Combination Based on Batch Weight Fit Rule for Energy Saving in Forging

As a traditional high energy-consuming industry, the forging industry consumes a lot of energy. The activity consuming the highest energy during forging process is the heating. The problem regarding how to separate workpieces with the same holding temperature and holding time and combine them for charging in forging was analyzed and a model based on batch weight fit rule for optimizing the charging combination with the goal of energy saving was proposed. A genetic algorithm was adopted to optimize and solve the model in order to reduce energy consumption in forging. In addition, an instance was given to prove the effectiveness of the proposed model.

Research on Energy-Saving Design of Overhead Travelling Crane Camber Based on Probability Load Distribution

Crane is a mechanical device, used widely to move materials in modern production. It is reported that the energy consumptions of China are at least 5–8 times of other developing countries. Thus, energy consumption becomes an unavoidable topic. There are several reasons influencing the energy loss, and the camber of the girder is the one not to be neglected. In this paper, the problem of the deflections induced by the moving payload in the girder of overhead travelling crane is examined. The evaluation of a camber giving a counterdeflection of the girder is proposed in order to get minimum energy consumptions for trolley to move along a nonstraight support. To this aim, probabilistic payload distributions are considered instead of fixed or rated loads involved in other researches. Taking 50/10 t bridge crane as a research object, the probability loads are determined by analysis of load distribution density functions. According to load distribution, camber design under different probability loads is discussed in detail as well as energy consumptions distribution. The research results provide the design reference of reasonable camber to obtain the least energy consumption for climbing corresponding to different ; thus energy-saving design can be achieved.

Camber deformation estimation of bridge crane and energy-consumption analysis

The crane is a mechanical device used to move materials in modern production. It plays a very important role in the national economy by greatly reducing labor intensity, improving production efficiency, and promoting social development as an indispensable auxiliary tool. The energy consumption of a crane is very large. There are several factors influencing energy loss, especially the camber of the girder, which is thought to compensate for the operation downwarping and, thus, decrease the energy consumption of trolleys with improved operation performance. Thus, analysis and calculation of the camber for crane girder is necessary in order to design a reasonable camber curve for the compensation of girder deformation by self-weight and loading. In this study, the deformation source is analyzed, and an estimation model of camber for the bridge crane is proposed. The camber is theoretically discussed and estimated with respect to self-weight, wheel pressure, and welding. As a result, the optimal corresponding camber curve that could compensate the deformations by self-weight, wheel pressure, and welding were obtained. Calculation of the energy consumption of the trolley is also presented. By using a 50-t, 31.5-m double girder crane as the research object, calculation of its camber and design of the reasonable camber curve for energy-saving were analyzed and demonstrated. These results may provide a design reference for girder camber curve and validation of the effectiveness of crane simulation modeling.

Research on manufacturing text classification based on improved genetic algorithm

According to the features of texts, a text classification model is proposed. Base on this model, an optimized objective function is designed by utilizing the occurrence frequency of each feature in each category. According to the relation matrix oftext resource and features, an improved genetic algorithm is adopted for solution with integral matrix crossover, transposition and recombination of entire population. At last the sample date of manufacturing text information from professional resources database system is taken as an example to illustrate the proposed model and solution for feature dimension reduction and text classification. The crossover and mutation probabilities of algorithm are compared vertically and horizontally to determine a group of better parameters. The experiment results show that the proposed method is fast and effective.

Research on Knowledge-Based Rapid Design Optimization

To obtain the competition advantages, the methodology of rapid design (RD) is applied widely in enterprises. Product oriented knowledge applied into product optimization based on design instances can avoid the repeated modeling and analyzing and result in improved design efficiency. Firstly, rapid design technology is overviewed. Secondly, general mathematical model of mechanical product rapid optimization is introduced. Thirdly, the process of knowledge-based rapid optimization combined with genetic algorithm is derived and the fitness determination of GA Optimization is discussed in detail. The research in this paper, however, is beneficial to the application of rapid design and optimization.