A gene recombination method for machine tools design based on complex network

Zhao, Liping; Diao, Guangzhou; Yan, Peng; Yao, Yiyong; Chen, Hong-Ren

doi:10.1007/s00170-015-7591-3

Cited by 11 publications

(3 citation statements)

References 24 publications

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“…Feng et al [30] established a mechanism chromosome model, which is constituted by a mechanism chromosome relationship graph and mechanism chromosome matrix. Focusing on the diversity and complexity of machine tools design, Zhao et al [31] proposed a novel gene recombination method based on a complex network; the method extracts the assembly components of machine tools as the structural genes for defining the extraction rules of network elements. Zhu et al [32] proposed a designing method based on gene recombination and integrated with reverse engineering; in their study, the product gene is divided into function gene and structure gene.…”

Section: Related Workmentioning

confidence: 99%

A Novel Quality Defects Diagnosis Method for the Manufacturing Process of Large Equipment Based on Product Gene Theory

Chen

Guo

et al. 2019

Symmetry

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Focusing on the problems of quality information management and quality defects diagnosis in the manufacturing process of large equipment, a novel quality defects diagnosis method based on product gene theory and knowledge base was developed. First, a product gene model and a sectional encoding method for the quality control of the manufacturing process of large equipment were proposed. In that model, the processing surface was the minimum information granularity to meet the production characteristics of large equipment and to improve the flexibility of the product gene model. Then, a similarity evaluation rule and an optimization method of the weights of elements based on particle swarm optimization (PSO) were addressed to filter the available knowledge of product gene from the product gene knowledge base. Aiming at the characteristic of many-to-many between quality defects and quality influence factors in some cases, a fuzzy comprehensive evaluation (FCE) method was developed for the further localization of diagnosis knowledge. Finally, an experiment of bearing spacer was applied to illustrate the proposed quality diagnosis approach. In the experiment, the data from the target gene and knowledge genes were described reasonably. On this basis, available knowledge genes could be accurately filtered with the proposed similarity rule and the method of filtration, where the PSO was proved to be effective. The diagnosis results of the experiment show that multiple factors lead to the defects that were verified. Therefore, the proposed quality defects diagnosis method is an effective way for quality control.

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Section: Related Workmentioning

confidence: 99%

A Novel Quality Defects Diagnosis Method for the Manufacturing Process of Large Equipment Based on Product Gene Theory

Chen

Guo

et al. 2019

Symmetry

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“…Complex network [13][14][15] originates from the graph theory, and it is mainly used to describe various network models of many engineering fields. The essence of enterprise manufacturing network structure is a complex network system created by superimposing the process routes of parts, where the network node represents the manufacturing unit, and the directed edge between nodes represents the machining precedence relationship of procedures in the process route.…”

Section: Enterprise Manufacturing Network Modeling Approachmentioning

confidence: 99%

Decision-making of feature operation chain considering processing requirements and manufacturing stability

Chang

et al. 2016

Int J Adv Manuf Technol

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Existing decision-making methods for selection of feature operation chains normally only consider the processing requirements and neglect the impacts of the selected feature operation chain on the production line of the enterprise. As a result, the newly inserted manufacturing task may lead to a decrease in the manufacturing stability, which increases the malfunction probability of some machines and reduces production efficiency simultaneously. To solve this problem, a decision-making method for feature operation chain selection considering processing requirements and manufacturing stability is presented. The proposed method explores the factors affecting selection of a feature operation chain and develops a fuzzy comprehensive evaluation model of feature operation chain selection using hole feature as an example, thus realizing the selection of possible feature operation chains based on processing requirements. The method further applies a complex network theory to build an enterprise manufacturing network model, analyzes the manufacturing network stability, and then evaluates potential feature operation chains using a network stability index. Experimental results show that the proposed method is feasible and effective.

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“…It consists of a large set of interconnected nodes, in which the node is a fundamental unit with specific contents [1]. Complex networks exist in many fields of science, engineering, and society and have attracted much attention in recent years [2][3][4][5]. As one of the most important collective behaviors, synchronization phenomena have been a topic of research.…”

Section: Introductionmentioning

confidence: 99%

Analysis and Design of Adaptive Synchronization of a Complex Dynamical Network with Time-Delayed Nodes and Coupling Delays

Zhao

et al. 2017

Mathematical Problems in Engineering

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This paper is devoted to the study of synchronization problems in uncertain dynamical networks with time-delayed nodes and coupling delays. First, a complex dynamical network model with time-delayed nodes and coupling delays is given. Second, for a complex dynamical network with known or unknown but bounded nonlinear couplings, an adaptive controller is designed, which can ensure that the state of a dynamical network asymptotically synchronizes at the individual node state locally or globally in an arbitrary specified network. Then, the Lyapunov-Krasovskii stability theory is employed to estimate the network coupling parameters. The main results provide sufficient conditions for synchronization under local or global circumstances, respectively. Finally, two typical examples are given, using the M-G system as the nodes of the ring dynamical network and second-order nodes in the dynamical network with time-varying communication delays and switching communication topologies, which illustrate the effectiveness of the proposed controller design methods.

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A gene recombination method for machine tools design based on complex network

Cited by 11 publications

References 24 publications

A Novel Quality Defects Diagnosis Method for the Manufacturing Process of Large Equipment Based on Product Gene Theory

A Novel Quality Defects Diagnosis Method for the Manufacturing Process of Large Equipment Based on Product Gene Theory

Decision-making of feature operation chain considering processing requirements and manufacturing stability

Analysis and Design of Adaptive Synchronization of a Complex Dynamical Network with Time-Delayed Nodes and Coupling Delays

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