Purpose: The purpose of this paper is to propose a three-dimensional (3D) assembly model retrieval method based on assembling semantic information to address semantic mismatches, poor accuracy and low efficiency in existing 3D assembly model retrieval methods. Design/methodology/approach: The paper proposes an assembly model retrieval method. First, assembly information retrieval is performed, and 3D models that conform to the design intention of the assembly are found by retrieving the code. On this basis, because there are conjugate subgraphs between attributed adjacency graphs (AAG) that have an assembly relationship, the assembly model geometric retrieval is translated into a problem of finding AAGs with a conjugate subgraph. Finally, the frequent subgraph mining method is used to retrieve AAGs with conjugate subgraphs. Findings: The method improved the efficiency and accuracy of assembly model retrieval. Practical implications: The examples illustrate the specific retrieval process and verify the feasibility and reasonability of the assembly model retrieval method in practical applications. Originality/value: The assembly model retrieval method in the paper is an original method. Compared with other methods, good results were obtained.
29 March 2023 in The International Journal of Advanced Manufacturing Technology
A method is proposed to analyze and evaluate brittle source of the key procedure in increasing the stability during complex parts’ manufacturing. Based on the concept of machining cell, brittleness risk is introduced into the stability analysis of manufacturing process; the key procedure in manufacturing process is obtained by analyzing and calculating the brittleness risk entropy of each machining cell. Moreover, brittleness factors of the key process are analyzed to obtain a human-machine-environment brittleness model from man-machine-environment. The improved fuzzy analytic hierarchy process (FAHP) is used to analyze the relationship between the brittleness factor and the brittleness event, and a quantification method of the brittle factor in the key process is given. Thus, dangerous brittle sources in key procedure as well as abnormal control points for anomalies can be identified to improve the stability of complex parts’ manufacturing processes. Finally, the correctness and effectiveness of this method are verified by using the manufacturing process of an aeroengine blade.
Based on the design structure matrix, the changing dependency analysis method is used to study the law of change propagation between parts in the process of product change, in view of the complexity of the product structure and the strong correlation between parts. First, the product components are divided into different modules according to different requirements, and a design structure matrix with weights is established according to the change dependencies between the components within the modules; then, a part changes propagation network is established to analyze the change dependency degree between parts and the influence of the part propagation mode on change propagation and to analyze the possible change propagation impact of part changes. The feasibility and rationality of the method are verified using the frame module as an example. The experimental results show that the method is effective in predicting the changing risk of a part and analyzing the change propagation impact arising from a part change.
UV transparent conductive electrodes based on transferable ITO nanowire networks were prepared to solve the problem of low UV light utilization in conventional photoelectrochemical UV detectors. The mutually cross-linked ITO nanowire network achieved good electrical conductivity and light transmission, and the novel electrode had a transmission rate of more than 80% throughout the near-UV and visible regions. Compared to Ag nanowire electrodes with similar functionality, the chemical stability of the ITO nanowire transparent conductive electrode ensured that the device worked stably in iodine-based electrolytes. More importantly, ITO electrodes composed of oxides could withstand temperatures above 800 °C, which is extremely critical for photoelectrochemical devices. After the deposition of a TiO2 active layer using the high-temperature method, the response range of the photoelectrochemical UV detector was extended from a peak-like response between 300–400 nm to a plateau-like response between 200–400 nm. The responsivity was significantly increased to 56.1 mA/W. The relationship between ITO nanowire properties and device performance, as well as the reasons for device performance enhancement, were intensively investigated.
6 March 2019 in Computational Intelligence and Neuroscience
Modular technology for product design and manufacturing is an effective way to solve mass customization problems. One difficulty in the application of modular technology is that the characteristics of mass customization, such as multi batch and small batch, easily increase the complexity of the module structure of the enterprise products. To address this problem, based on complex network theory, the enterprise products module is mapped as the vertex of the network, the number of modules used is mapped as the node weight, the dependency between the modules is mapped to the edge, and the product module network is established. The brittleness risk entropy of the product module network is put forward by considering the internal and external factors that influence the application of the enterprise module to determine the rationality of the required modules' organizational structures. Then, the stability uncertainty of the product module network can be determined by calculating the brittleness risk entropy, in which the subsystem that is the most brittle risk entropy can be identified. And the evolution of the product module network can be promoted by changing factors of the entropy maximum subsystem. To analyze the change in the product module network caused by module evolution, a BBV (Barrat–Barthelemy–Vespignani) model of the product module network is established to dynamically determine the brittle risk of the product module network. Finally, the modularity structure of a series of special vehicles is used as an example to verify the presented method, and the results confirm the rationality and effectiveness of the method.