Virtual prototyping in simultaneous product/process design for disassembly

Bauer, Matthew D.; Siddique, Zahed; Rosen, David W.

doi:10.1007/978-1-4615-6365-5_8

Cited by 11 publications

(2 citation statements)

References 15 publications

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“…The maintenance process should be decomposed into reasonable human motions to support the corresponding simulation and analysis (Ranko, 1995; Bauer et al ., 1997; Ianni, 1999). Defining a specification that meets the needs of different domains may be impossible, whereas defining a set of reasonable human motions that cover most maintenance applications is feasible by combining conventional classifications and characteristics in maintenance operations.…”

Section: Human Motions In the Maintenance Processmentioning

confidence: 99%

A semi-automatic approach to implement rapid non-immersive virtual maintenance simulation

Geng

Liu

et al. 2018

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Purpose Current virtual simulation platforms provide various tools to generate non-immersive simulation processes purposefully in different domains. The generated simulation processes are adopted for analysis, presentation, demonstration and verification. In the virtual maintenance domain, this intuitive and visual method has benefitted product maintainability design and improvement. Generating an ideal and reasonable non-immersive virtual maintenance simulation is always time-consuming because of the complicated human operations and logical relationships involved. This study aims to propose a semiautomatic approach to increase efficiency in non-immersive virtual maintenance simulation implementation. Design/methodology/approach The methodology analyzes the general catalogs of common maintenance tasks and explores the corresponding secondary development approaches of simulation tools that can achieve motion simulation in virtual environments, by focusing on the diversity, complexity and uncertainty in non-immersive virtual simulation process generation. Afterward, a single virtual human motion can be generated by controlling the parameters and indices of the simulation tools. Subsequently, all of the generated single motions are connected logically to simulate the entire maintenance process. Findings Instead of selecting various tools, such as that in a traditional method, the proposed methodology analyzes and integrates the necessary basic parameters considering the characteristics of virtual maintenance simulation for a target maintenance activity. Originality/value The user can control the predefined parameters to generate the simulation combining several other simple operations in virtual environments. Consequently, the methodology decreases simulation tool selection and logic consideration and increases efficiency to a certain extent in non-immersive virtual maintenance simulation generation.

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Section: Human Motions In the Maintenance Processmentioning

confidence: 99%

A semi-automatic approach to implement rapid non-immersive virtual maintenance simulation

Geng

Liu

et al. 2018

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“…Above motions classifications are developed for production line standard time estimation and cannot apply to maintenance time prediction. Vujosevic and Ianni (1997), Bauer et al (1998), Zhou et al (2016a), andYu et al (2017) studied motions classifications based on maintenance processes. However, these methods are developed for specific maintenance objects such as airplane and machine tools.…”

Section: Introductionmentioning

confidence: 99%

A study on product assembly and disassembly time prediction methodology based on virtual maintenance

Cai

Zhang

Chen

et al. 2019

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Purpose Based on virtual maintenance, this paper aims to propose a time prediction method of assembly and disassembly (A&D) actions of product maintenance process to enhance existing methods’ prediction accuracy, applicability and efficiency. Design/methodology/approach First, a framework of A&D time prediction model is constructed, which describes the time prediction process in detail. Then, basic maintenance motions which can comprise a whole A&D process are classified into five categories: body movement, working posture change, upper limb movement, operation and grasp/placement. A standard posture library is developed based on the classification. Next, according to motion characteristics, different time prediction methods for each motion category are proposed based on virtual maintenance simulation, modular arrangement of predetermined time standard theory and the statistics acquired from motion experiment. Finally, time correction based on the quantitative evaluation method of motion time influence factors is studied so that A&D time could be predicted with more accuracy. Findings Case study of time prediction of products’ various A&D processes is conducted by implementing the proposed method. The prediction process of diesel cooling fan disassemble time is presented in detail. Through comparison, the advantages and effectiveness of the method are demonstrated. Originality/value This paper proposes a more accurate, efficient and applicable product A&D time prediction method. It can help designers predict A&D time of a product maintenance accurately in early design phases without a physical prototype. It can also provide basis for the verification of maintainability, the balance of the design of product structure and system layout.

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