Advanced Materials Research Vols. 139-141

Abstract: The direct metal forming remanufacture system based on the arc welding and the reverse engineering technique is researched. A broken parts rapid recovery method combined reverse engineering and green remanufacture forming technology is proposed. The intact product and the damaged product should be measured separately, and compare the two groups of measured data to determine the accurate data of repair parts. So the damage position is definite accurately and the 3D model of the damage position is reconstructed by reverse engineering. According to the materials of repair parts and powder materials, the technological parameters are setting, the repair working scheme is proposed and the NC programs are prepared. And then the restoration and direct metal forming is carried out. The problem of accurate positioning during the direct metal forming is solved. The experimental results show that this method can repair the damaged parts accurately.

Abstract: Because of the simplification for scenario choices and few reflections of space-time characters, product designers or police makers can’t reference effectively the results of LCA. This paper proposed a new LCA method for design scheme based on multi-scenarios coexistence. First, various life-cycle scenarios of product are summarized and the common attributes are extracted to generate the scenario model. Second, the choice matrix of multi-scenarios is founded based on product statistic. And the probabilities of scenarios calculated from the choice matrix are used to gather together the environmental impacts of multi-scenarios in proportion. Third, the inventory data are collected as per scenario including pollution emissions and character information. The later are used to generate personnel, spatial and temporal factors which reflect the diversity of environmental impacts in different scenarios. Finally, the related issues are discussed including matters needing attention in practical application and what need to research in future.

Abstract: In view of the characteristics and difficulties of service composition, taking particularities of enterprise product design and manufacture into consideration, in order to improve the efficiency of service composition for manufacturing integrated systems, a collaborative semantic web service composition framework based on abstract business process was proposed to construct the workflow by way of man-computer collaboration, and the key technologies involved in this framework such as service modeling, searching, binding and execution were analyzed in detail.

Abstract: In order to overcome the bottlenecks of traditional network manufacturing, a new service-oriented networked manufacturing model, i.e. the cloud manufacturing (CMfg), was proposed recently. As an effective method for the realization of the added value of manufacturing resource, resource service composition (RSC) plays an important role in the implementation of CMfg. In view of the issue of dynamic changes occurred during RSC in CMfg, this paper presents the concept of flexibility of RSC as well as the idea of optimal-selection of RSC based on flexibility, which can enable RSC to have the ability to adapt to the dynamic changes. Meantime, the measurement method of flexibility of RSC is investigated. The optimal-selection of RSC based on flexibility can be achieved through quantitative evaluation of flexibility.

Abstract: Experience accumulation and reuse are very important for manufacturing of complex product. However, there is no mechanism to support such function in the integrated manufacturing system based on semantic SOA which is generally accepted as an effective approach to raise productivity. Specific to this problem, we propose a solution by building a case-base in semantic SOA to improve the traditional framework, in which case-base can accumulates the experiences by case study and reuse them by case retrieve. In this paper, the new architecture and workflow of the semantic SOA with build-in case-base is designed, merging and maximizing the advantages of both case-base and SOA to make up the lack of experience accumulation and reuse mechanism. Then, combined with field characteristics of complex products’ manufacturing process, construction and implementation concerning key technologies and methods of case-base are comprehensively elaborated.

Abstract: This paper presents a new data reduction algorithm to reduce redundant in rang image or three dimension point cloud. Firstly, an automatic subdivision program is developed to identify the most representative data points among redundant points. The subdivision program employs the standard k-means clustering procedure to gather the similar data points together in spatial domain and uses the max normal deviation to minimize the dissimilarity in feature field. Secondly, an automatic boundary detection algorithm is developed to maintain the integrity of the border, which is conducted before the subdivision program. To avoid the final distribution of sampled points locally greedy and unbalanced, a refinement algorithm is proposed, which runs after the subdivision program. The effectiveness of the proposed k-means clustering data reduction algorithm is demonstrated through the simplification results of the practical range image and three dimension point cloud.

Abstract: The purpose of this paper is to avoid the crack problem of the ceramic shell during the burnout procedure of the rapid investment casting using stereolithograghy (SLA) model. Since the coefficient of thermal expansion of the SLA model is much higher than the coefficient of the ceramic shell, the internal structural patterns have to be properly designed to reduce the stress level in the ceramic shell. A topology optimization method is proposed here to find better microstructure designs to satisfy both the strength of the ceramic shell and the stiffness of the SLA model itself. Taking the arrayed microstructure into account, the pseudo-densities of the SLA model elements to describe the material layout are defined and assumed as the design variables. By deriving the design sensitivities, the topology optimization problem is solved with reasonable numerical results generated.

Abstract: This paper summarized the popular methods for acquiring customer requirement (CR) information, where the internet-based method is especially efficient when an enterprise's web possesses the function of real-time communication, guiding investigation and online experience. However, current classification and analysis of CR mainly depends on a subjective judgment, awareness and assessment of the enterprise's staff, which exists with human errors. From the point of view of CR information, the authors classified it into certain information and uncertain information; there are two types of uncertain information----the random and the fuzzy. Based on this classification, CR information can be analyzed by means of probability theory and fuzzy logic. Therefore, the enterprise will acquire CR information more effectively and analyze it more accurately.

Abstract: Collaborative manufacturing is gaining more and more popularity in the dynamic and global market environment, as raises the requirement of a platform to support the remote resource utilization and distributed process integration for the operation and management of collaborative manufacturing. This paper combines agent and grid workflow technology to construct an integrated application service platform for collaborative manufacturing of discrete part. The grid service is used to encapsulate technological resources to be accessible remotely, while the agent technology is integrated with grid service to encapsulate resources such as machine tools which require local human operation. Grid workflow is applied to model and enact the overall manufacturing process and invoke appropriate grid services dynamically so that manufacturing tasks can be executed in a controlled and distributed manner. Issues of system framework, resource encapsulation and process enactment are discussed, and a case study is present to demonstrate the feasibility.

Abstract: In this research, we computationally analyzed the structural modes of an HSK63E type tool system and verified the results with experimental modal analysis (EMA). The computation was implemented using the finite element method (FEM) based on a linear-elastic theory, with which we computed the natural frequency and obtained the modal shapes under both free and operating conditions. With the method of experimental modal analysis, we also obtained structural modal parameters including the natural frequency, modal shapes and damping ratio under the same free and operating conditions. The computational data were compared with the experimental findings. The reasonable agreement between the two data sets indicated the validity and provided a theoretical basis for using computational methods for determining the natural characteristics and influencing factors of HSK tool system. With this validated FEM model, further analyses were performed to evaluate the unique dynamic performance of the HSK tool system, and to apply dynamic optimum design to other types of HSK tool system.