assembly model
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2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhoupeng Han ◽  
Chenkai Tian ◽  
Zihan Zhou ◽  
Qilong Yuan

Purpose Complex mechanical 3D computer-aided design (CAD) model embodies rich implicit design knowledge. Through discovering the key function parts and key function module in 3D CAD assembly model in advance, it can promote the designers’ understanding and reuse efficiency of 3D assembly model in design reuse. Design/methodology/approach An approach for discovering key function module in complex mechanical 3D CAD assembly model is proposed. First, assembly network for 3D CAD assembly model is constructed, where the topology structure characteristics of 3D assembly model are analyzed based on complex network centrality. The degree centrality, closeness centrality, betweenness centrality and mutual information of node are used to evaluate the importance of the parts in 3D assembly model. Then, a multi-attribute decision model for part-node importance is established, and the comprehensive evaluation for key function parts in 3D assembly model is accomplished by combining Analytic Hierarchy Process and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). Subsequently, a community discovery of function module in assembly model-based Clauset–Newman–Moore (CNM)-Centrality is given in details. Finally, 3D CAD assembly model of worm gear reducer is taken as an example to verify the effectiveness and feasibility of proposed method. Findings The key function part in CAD assembly model is evaluated comprehensively considering assembly topology more objectively. In addition, the key function module containing key function part is discovered from CAD assembly model by using CNM-Centrality-based community discovery. Practical implications The approach can be used for discovering important design knowledge from complex CAD assembly model when reusing the assembly model. It can help designers capture and understand the design thinking and intent, improve the reuse efficiency and quality. Originality/value The paper first proposes an approach for discovering key function module in complex mechanical 3D CAD assembly model taking advantage of complex network theory, where the key function part is evaluated using node centrality and TOPSIS, and the key function module is identified based on community discovery.


2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Katia Lupinetti ◽  
Daniela Cabiddu ◽  
Franca Giannini ◽  
Marina Monti
Keyword(s):  

Author(s):  
А.Н. Юров ◽  
Д.В. Цымбал

Предложена разработка цифрового макета изделия, который представляет собой компонент ЭВМ - импульсный блок питания. Производится анализ предполагаемых компонентов персонального компьютера, которые будут установлены в систему. При необходимости есть возможность выбора с добавлением новых компонентов в системный блок ЭВМ. После определения заданных компонентов ПК производится расчет мощности, которая нужна для получения стабильной работы системы в целом. По произведенным расчетам выполняется 3D-моделирование блока питания с разъемами для подключения материнской платы, видеокарты, а также прочих устройств, в том числе и накопителей информации. В работе исследованы вопросы по применению методов линейного программирования для решения поставленных задач в соответствии с исходными данными, а также подходы по получению 3D-модели источника питания с построенными трассами до разъемов подключения устройств и компонентов персонального компьютера. Кроме того, подготовлено программное обеспечение, в котором визуально представлен процесс построения сборочной модели БП согласно произведенным расчетам We propose the development of a digital model of the product, which is a computer component - a pulsed power supply. We carried out the analysis of the expected components of the personal computer that will be installed in the system. If necessary, there is a choice with the addition of new components to the system unit of the computer. After determining the specified PC components, the power is calculated, which is needed to obtain stable operation of the system as a whole. According to the calculations made, 3D-modeling of the power supply unit with connectors for connecting the motherboard, video card, as well as other devices, including information storage devices, is performed. The paper investigates the issues of using linear programming methods for solving the assigned tasks in accordance with the initial data, as well as approaches to obtaining a 3D model of a power supply with constructed routes to the connectors for connecting devices and components of a personal computer. In addition, we prepared the software, in which the process of building an assembly model of a power supply unit is visually presented according to the calculations


2021 ◽  
Vol 19 (1) ◽  
pp. 26-37
Author(s):  
Shungang Hua ◽  
Xinbao Wang ◽  
Shouguang Xie ◽  
Dan Feng ◽  
Hengzhen Dai

2021 ◽  
Vol 8 (6) ◽  
pp. 201636
Author(s):  
V. Jouffrey ◽  
A. S. Leonard ◽  
S. E. Ahnert

We study the effects of non-determinism and gene duplication on the structure of genotype–phenotype (GP) maps by introducing a non-deterministic version of the Polyomino self-assembly model. This model has previously been used in a variety of contexts to model the assembly and evolution of protein quaternary structure. Firstly, we show the limit of the current deterministic paradigm which leads to built-in anti-correlation between evolvability and robustness at the genotypic level. We develop a set of metrics to measure structural properties of GP maps in a non-deterministic setting and use them to evaluate the effects of gene duplication and subsequent diversification. Our generalized versions of evolvability and robustness exhibit positive correlation for a subset of genotypes. This positive correlation is only possible because non-deterministic phenotypes can contribute to both robustness and evolvability. Secondly, we show that duplication increases robustness and reduces evolvability initially, but that the subsequent diversification that duplication enables has a stronger, inverse effect, greatly increasing evolvability and reducing robustness relative to their original values.


2021 ◽  
pp. 1-11
Author(s):  
B. M. Kessels ◽  
M. L. J. Verhees ◽  
A. M. Steenhoek ◽  
R. H. B. Fey ◽  
N. van de Wouw

Meccanica ◽  
2021 ◽  
Author(s):  
Ying Wang ◽  
Jingxuan He ◽  
Nuo Wan ◽  
Aihua Zhang
Keyword(s):  

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