A hierarchical assembly knowledge representation framework and microdevice assembly ontology

Zhu, Dongsheng; Zhang, Zhijing; Shi, Lingling; Qian, Jiahui; Saren, Qimuge; Song, Dan

doi:10.1016/j.aei.2022.101705

Cited by 11 publications

(4 citation statements)

References 57 publications

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“…Currently, in order to improve design efficiency and quality, some scholars are trying to use the ontology approach for computer-aided design [22,23] and computer-aided manufac-turing [24,25]. Many scholars use ontologies to formalise the knowledge of the design process and build an ontology library of knowledge applications in the course of product design and manufacturing; on this basis, they design inference rules to reason out the relevant design results and new knowledge, which improves the design efficiency [18,19,[22][23][24][25][26].…”

Section: Application Of Ontology In the Field Of Product Design Toler...mentioning

confidence: 99%

“…The tolerance types obtained through the screening all met the geometric functional requirements of the product. But, when completing the final detailed tolerance specification design of part Part 3 , further manual screening of tolerance types, adding tolerance material condition symbols and tolerance domain feature symbols were required [23,32]. The benchmark conditions for the directional positional tolerances were simultaneously selected.…”

Section: Semantic Modelling Of Geometric Tomentioning

confidence: 99%

“…The form tolerance type is related to the target feature element type. SWRL rules are constructed according to the correspondence between the type of the target feature element and the form tolerance [3], and the automatically generated SWRL rule base for form tolerance items can be obtained [5,23,31]. For example, the commonly used shape tolerance types for cylinders are cylindricity, centre element axis straightness, cross-section roundness and rotation bus straightness; the inference rules are as follows: RCyindrical(?x) ∧ ICyindrical(?y) ∧ hasNON(?x,?y) → hasCylindricity(?x,?y) ∧ HasRoundness(?x,?y) ∧ hasStraihtness(?x,?y).…”

mentioning

confidence: 99%

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A Tolerance Specification Automatic Design Method for Screening Geometric Tolerance Types

Liu,

Huang,

2024

Applied Sciences

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At present, the automatic generation of tolerance types based on rule-based reasoning has an obvious characteristic: for the same assembly feature, tolerance items are recommended that satisfy all feature characteristics, with a large number of recommendations. For this reason, automatically selecting tolerance types and reducing designer autonomy remains a challenging task, especially for complex mechanical products designed using heterogeneous CAD systems. This article proposes a tolerance specification design method for the automatic selection of assembly tolerance types. Based on the construction of a hierarchical representation model of assembly tolerance information with tolerance-zone degrees of freedom (DOFs), a semantic model of geometric tolerance information with tolerance-zone DOFs and a meta-ontology model of assembly tolerance information representation are constructed. Descriptive logic is used to express the attribute relationships between different classes in the assembly tolerance information meta-ontology model, and screening inference rules are constructed based on the mechanism for selecting assembly tolerance types based on tolerance-zone DOFs. On this basis, a process for selecting assembly geometric tolerance types based on the ontology of tolerance-zone DOFs is formed. Finally, the effectiveness and feasibility of this method were verified through examples.

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Section: Application Of Ontology In the Field Of Product Design Toler...mentioning

confidence: 99%

Section: Semantic Modelling Of Geometric Tomentioning

confidence: 99%

mentioning

confidence: 99%

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A Tolerance Specification Automatic Design Method for Screening Geometric Tolerance Types

Liu,

Huang,

2024

Applied Sciences

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“…Moreover, the authors developed an algorithm to reduce the error that occurred. The result reveals 30% of the quality of assembling was improved.Dongsheng Zhu et al [3] developed a novel phase in dissembling microdevice application components and framework. The article suggests clear knowledge of spatial, mating, and assembly relationship in microdevices and increases the accuracy and clear knowledge of hierarchical assembly.…”

Section: Introductionmentioning

confidence: 99%

Design and Development of Multi-Dimensional Plurality Bearing Cup Assembly and Disassembly Tool

Baladhandapani,

Kandavel

2023

Preprint

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Efficient and safe disassembly of bearing cups is a significant challenge in the automotive sector. This research article presents a novel design, analysis, and applications of a Plurality Bearing Cup Disassembly Tool (PBCDT). The PBCDT is a specialized tool developed to enable the simultaneous disassembly of multiple-bearing cups, addressing the needs of diverse industries, including automotive, aerospace, and heavy machinery. By eliminating the need for individual and stacking tools, the PBCDT overcomes the limitations of existing disassembly techniques, such as local weld and hit practices commonly used in workshops. This article presents a detailed design, with a focus on critical factors like material selection and manufacturing techniques. Structural analysis utilizing Finite Element Analysis (FEA) is conducted to ensure the robustness and durability of the tool. Furthermore, the article explores the ergonomic aspects and user-friendliness of the PBCDT, emphasizing the importance of operator comfort and efficiency during disassembly operations.The insights provided in this research article regarding the design, analysis, and potential applications of the PBCDT serve as a valuable resource for engineers, technicians, and researchers engaged in bearing cup disassembly operations. By employing the PBCDT, professionals can improve productivity, reduce disassembly time, and eliminate the risks associated with traditional disassembly methods.

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Reliability improvement on assembly accuracy with maximum out-of-tolerance probability analysis and prior precise repair optimization

Guo

Hou²,

Xiao

et al. 2023

Advanced Engineering Informatics

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A hierarchical assembly knowledge representation framework and microdevice assembly ontology

Cited by 11 publications

References 57 publications

A Tolerance Specification Automatic Design Method for Screening Geometric Tolerance Types

A Tolerance Specification Automatic Design Method for Screening Geometric Tolerance Types

Design and Development of Multi-Dimensional Plurality Bearing Cup Assembly and Disassembly Tool

Reliability improvement on assembly accuracy with maximum out-of-tolerance probability analysis and prior precise repair optimization

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