CAD model based virtual assembly simulation, planning and training

Leu, Ming C.; ElMaraghy, Hoda A.; Nee, A. Y. C.; Ong, S. K.; Lanzetta, Michele; Pütz, Matthias; Zhu, Wenjuan; Bernard, Alain

doi:10.1016/j.cirp.2013.05.005

Cited by 147 publications

(46 citation statements)

References 96 publications

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“…Enabled by the digitalization of manufacturing, cyber-physical production systems, model-based system engineering, and a growing endeavour for data gathering and processing, these models are increasingly enriched with production and operation data. Moreover, they allow the efficient prediction of the effects of product and process development as well as operating and servicing decisions on the product behaviour without the need for costly and time-expensive physical mockups [1][2][3]. Particularly in design, such realistic product models are essential to allow the early and efficient assessment of the consequences of design decisions on the quality and function of mechanical products.…”

Section: Introductionmentioning

confidence: 99%

Shaping the digital twin for design and production engineering

et al. 2017

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Abstract:The digitalization of manufacturing fuels the application of sophisticated virtual product models, which are referred to as digital twins, throughout all stages of product realization. Particularly, more realistic virtual models of manufactured products are essential to bridge the gap between design and manufacturing and to mirror the real and virtual worlds. In this paper, we propose a comprehensive reference model based on the concept of Skin Model Shapes, which serves as a digital twin of the physical product in design and manufacturing. In this regard, model conceptualization, representation, and implementation as well as applications along the product life-cycle are addressed.

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Section: Introductionmentioning

confidence: 99%

Shaping the digital twin for design and production engineering

et al. 2017

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“…Considering commercial buildings, pipelines normally account for a large proportion of mechanicalelectrical plumbing (MEP) systems. However, in practice -and taking into account the disunity of assembly paths, inconsistencies of assembly sequences and other factorsissues of pipeline design may incur serious assembly problems [43]. Using BIM for pipeline design is acknowledged as a promising approach, with its emphasized advantages such as: the designer can fully consider wiring and cable assembly planning within the environment; the designer can synthetically consider any requirements and rules as well as enhance the consistency and maintainability of products.…”

Section: A Conceptual Framework For Using Bim In Design and Constructionmentioning

confidence: 99%

A Project-Based Quantification of BIM Benefits

Hou

Wang

et al. 2014

International Journal of Advanced Robotic Systems

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In the construction industry, research is being carried out to look for feasible methods and technologies to cut down project costs and waste. Building Information Modelling (BIM) is certainly currently a promising technology/method that can achieve this. The output of the construction industry has a considerable scale; however, the concentration of the industry and the level of informatization are still not high. There is still a large gap in terms of productivity between the construction industry and other industries. Due to the lack of first-hand data regarding how much of an effect can be genuinely had by BIM in real cases, it is unrealistic for construction stakeholders to take the risk of widely adopting BIM. This paper focuses on the methodological quantification (through a case study approach) of BIM's benefits in building construction resource management and real-time costs control, in contrast to traditional non-BIM technologies. Through the use of BIM technology for the dynamic querying and statistical analysis of construction schedules, engineering, resources and costs, the three implementations considered demonstrate how BIM can facilitate the comprehensive grasp of a project's implementation and progress, identify and solve the contradictions and conflicts between construction resources and costs controls, reduce project over-spends and protect the supply of resources.

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“…,..., , , K pred succ succ fixt tool (14) indicating that predecessor task pred must either precede at least one of the successor tasks succ1, …, succK, or it must not be processed in fixture fixt, or it must not be processed using tool tool. If the fixture and the tool do not take part in the collision (i.e., fixt = ∅ and tool = ∅), then the generated cut is the disjunctive precedence constraint as follows:…”

Section: Coordination Between Master Problem and Sub-problemsmentioning

confidence: 99%

“…Accordingly, the sub-problem solver generates the feasibility cut for each detected collision in which, using the notation of (14), the predecessor task is the current task t, successor tasks are all other tasks along , while the fixture and tool are present if they are involved in the collision. An illustration from the working example is presented in Fig.…”

Section: Sub-problem: Collision Detectionmentioning

confidence: 99%

“…Determination of process parameters, fixture design, path planning, collision checking and, in general the validation of assembly plans requires micro-level activities, either done by specialized modules or manual intervention (eventually supported by advanced visualization [14]). However, if an assembly plan turns out to be non-executable due to an issue detected on the micro level, there must be an automated way back to resume macro planning and avoid the failure.…”

Section: Introductionmentioning

confidence: 99%

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Decomposition approach to optimal feature-based assembly planning

2017

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The paper proposes a generic approach to assembly planning where individual tasks, with detailed technological content specified by features, must be combined into an optimal assembly plan subject to technological and geometric constraints. To cope with the complexity and variety of the constraints that refer to the overall assembly process, Benders decomposition is applied. The macro-level master problem looks for the optimal sequencing and resource assignment of the tasks, while sub-problem modules ensure plan feasibility on the micro-level from aspects of technology, fixturing, tooling, and collision. Constraints are also dynamically generated for the master problem. The approach is demonstrated in automotive assembly.

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CAD model based virtual assembly simulation, planning and training

Cited by 147 publications

References 96 publications

Shaping the digital twin for design and production engineering

Shaping the digital twin for design and production engineering

A Project-Based Quantification of BIM Benefits

Decomposition approach to optimal feature-based assembly planning

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