Mechanical systems and assemblies modeling using knowledge-intensive Petri nets formalisms

2001 ◽  
Vol 15 (2) ◽  
pp. 145-171 ◽  
Author(s):  
X.F. ZHA ◽  
H. DU
Keyword(s):  
Petri Nets ◽  
Design Process ◽  
Mechanical Systems ◽  
Object Oriented ◽  
Hybrid Design ◽  
Object Model ◽  
Top Down ◽  
Assembly Design ◽  
Knowledge Based ◽  
Knowledge Intensive

This paper presents a novel knowledge-based Petri net approach to mechanical systems and assemblies modeling within a design with objects environment. A new unified class of object-oriented knowledge Petri nets, which can incorporate a knowledge-based system with ordinary Petri nets, is defined and used for the unified representations of assembly design and modeling. The object knowledge Petri nets, as a graphical language and a new knowledge-based description scheme, can be used to express the qualitative and quantitative aspects of the assembly design and modeling process in an interactive and integrated way. The four-level hierarchy model is proposed and constructed in terms of function-behaviors, structures, geometries, and features. The function-behavior-structure description is built on more abstract concepts so that it can match well top-down design. The static and dynamic characteristics in the design of assembly can also be captured. With the help of fuzzy logic, the incomplete, imprecise knowledge and uncertainty in the design process can also be dealt with. Therefore, the hybrid design object model can incorporate product data model, top-down design process, and assembly process model using an object-oriented, knowledge-based, feature-based, parametric, and constraint-based modeling approach, and can provide a more accurate and more flexible representation. To verify and demonstrate the effective use of the proposed hybrid design object model, a prototype system has been developed. This research provides a knowledge-intensive framework for intelligent assembly design and modeling.

The Datum Flow Chain: A Systematic Approach to Assembly Design and Modeling

1998 ◽  
Author(s):  
R. Mantripragada ◽  
D. E. Whitney
Keyword(s):  
Design Process ◽  
Systematic Approach ◽  
Assembly Planning ◽  
Assembly Process ◽  
Top Down ◽  
Assembly Design ◽  
Key Characteristics ◽  
Assembly Sequences

Abstract In order to be able to lay out, analyze, outsource, assemble, and debug complex assemblies, we need ways to capture their fundamental structure in a top-down design process, including the designer’s strategy for kinematically constraining and locating the parts accurately with respect to each other. We describe a concept called the “Datum Flow Chain” to capture this logic. The DFC relates the datum logic explicitly to the product’s key characteristics, assembly sequences, and choice of mating features, and provides the information needed for tolerance analyses. Two types of assemblies are addressed: Type-1 where the assembly process puts parts together at their prefabricated mating features, and Type-2 where the assembly process can incorporate in-process adjustments to redistribute variation. Two types of assembly joints are defined: mates that pass dimensional constraint from part to part, and contacts that merely provide support. The scope of DFC in assembly planning is presented using several examples. Analysis tools to evaluate different DFCs and select the ones of interest are also presented.

Process Planning Dynamic Model Based on HOOPN for Top-Down Collaborative Assembly Design

2008 ◽  
Vol 44-46 ◽  
pp. 215-224
Author(s):  
Yu Dong Yang ◽  
Zhi Hua Li ◽  
Shu Ting Zhang
Keyword(s):  
Dynamic Model ◽  
Design Process ◽  
Process Planning ◽  
Petri Net ◽  
Risk Level ◽  
Global Risk ◽  
Top Down ◽  
Assembly Design ◽  
Model Based ◽  
Collaborative Assembly

According to the characteristics of the design process of top-down collaborative assembly design, process planning dynamic model based on HOOPN (hierarchical object-oriented Petri-net) is constructed for top-down collaborative assembly design. The outside and inside task dependent relationships among the task groups include parallel, sequence and coupling are implemented. The definitions of attribute for each element and the activation rules are presented for Petri-net. The fuzzy overall evaluation model is applied for risk evaluation of design process, and the local and global risk level is determined. The whole process planning is adjusted and controlled based on special risk decision-making mechanism.

Combining Interactive Exploration and Optimization for Assembly Design

1996 ◽  
Author(s):  
Gerard Jounghyun Kim ◽  
Simon Szykman
Keyword(s):  
Simulated Annealing ◽  
Design Process ◽  
Design Space Exploration ◽  
Design Space ◽  
Space Exploration ◽  
Design History ◽  
Top Down ◽  
Design Exploration ◽  
Assembly Design ◽  
Design Alternatives

Abstract This paper presents an integrated framework for assembly design. The framework allows the designer to represent knowledge about the design process and constraints, as well as information about the artifact being designed, design history and rationale. Because the complexity of assembly design leads to extremely large design spaces, adequately supporting design space exploration is a key issue that must be addressed. This is achieved in part by allowing the designer to use both top-down and bottom-up approaches to assembly design. Exploration of the design space is further enabled by incorporating a simulated annealing-based optimization tool that allows the designer to rapidly complete partial designs, refine complete designs, and generate multiple design alternatives.

Dynamic Model of Process Planning for Top-Down Collaborative Assembly Design

2008 ◽  
Author(s):  
Youdong Yang ◽  
Shuting Zhang ◽  
Zhihua Li
Keyword(s):  
Decision Making ◽  
Dynamic Model ◽  
Design Process ◽  
Process Planning ◽  
Evaluation Model ◽  
Risk Level ◽  
Global Risk ◽  
Top Down ◽  
Assembly Design ◽  
Collaborative Assembly

The design process of top-down collaborative assembly design is high parallel. There are complex task relationships not only in a task group but also among different task groups, which we call them as inside and outside relationships. A dynamic model of process planning based on hierarchical object-oriented Petri-net (HOOPN) is constructed for top-down collaborative assembly design. The dynamic model represents the outside and inside task relationships including parallel, sequential and coupling relationships. Based on the dynamic model, the dynamic supervising, analysis and decision-making for the states of the design process are implemented. The fuzzy overall evaluation model (FOEM) is utilized for risk evaluation of the design process. The task execution is influenced by local and global risk level from FOEM. Finally, the whole process planning is adjusted and controlled dynamically by the special risk decision-making mechanism.

Gear Shaft Design Process by Using Object-Oriented Methods

1996 ◽  
Author(s):  
Ari Heikkinen ◽  
Tapio Korpela ◽  
Tatu Leinonen
Keyword(s):  
Design Process ◽  
Development Process ◽  
Object Oriented ◽  
Design System ◽  
Knowledge Based ◽  
Object Oriented Methods

Abstract Ideas introduced in this paper have been applied in a development process of a design system for a Finnish gear manufacturer, Santasalo Ltd. Main products of the company are standard catalog gears, tailored products (standard gears with special requirements of the customer) and special gears. Our first application in this project has been a manufacture oriented shaft design, which is knowledge-based and included in commercial CAD software.

Acquiring and Sharing Tacit Knowledge Based on Interval 2-Tuple Linguistic Assessments and Extended Fuzzy Petri Nets

2018 ◽  
Vol 26 (01) ◽  
pp. 43-65 ◽  
Author(s):  
Hui Li ◽  
Jian-Xin You ◽  
Hu-Chen Liu ◽  
Guangdong Tian
Keyword(s):  
Petri Nets ◽  
Tacit Knowledge ◽  
Expert Knowledge ◽  
Practical Knowledge ◽  
Domain Experts ◽  
Knowledge Based ◽  
Proposed Model ◽  
Fuzzy Petri Nets ◽  
Knowledge Intensive ◽  
Complex Knowledge

In the highly competitive environment, capturing and disseminating of tacit knowledge are significant to an organization’s success with the development of knowledge-based systems. However, in practical knowledge acquisition process, domain experts tend to express their judgments using multigranularity linguistic term sets, and there usually exists uncertain and incomplete information since expert knowledge is experience-based and tacit. In addition, although the technical capabilities of expert systems based on fuzzy Petri nets (FPNs) are expanding, they still fall short of meeting the increasingly complex knowledge demands. Therefore, this paper develops a theoretical model based on linguistic interval 2-tuples and interval-valued intuitionistic FPNs (IVIFPNs) for acquiring and representing tacit knowledge to increase and sustain the competitive advantages of knowledge intensive organizations. An empirical case study in medical practice is provided to demonstrate the application and feasibility of the proposed model, and the results show that it can well capture experts’ tacit knowledge and reuse the acquired knowledge productively.

Cyberphysical Design Automation Framework for Knowledge-based Engineering

2013 ◽  
Vol 1 (1) ◽  
pp. 158-178
Author(s):  
Urcun John Tanik
Keyword(s):  
System Design ◽  
Design Process ◽  
Design Automation ◽  
Design Theory ◽  
Knowledge Bases ◽  
Knowledge Based ◽  
Knowledge Based Engineering ◽  
Cyberphysical System ◽  
Automation Framework

Cyberphysical system design automation utilizing knowledge based engineering techniques with globally networked knowledge bases can tremendously improve the design process for emerging systems. Our goal is to develop a comprehensive architectural framework to improve the design process for cyberphysical systems (CPS) and implement a case study with Axiomatic Design Solutions Inc. to develop next generation toolsets utilizing knowledge-based engineering (KBE) systems adapted to multiple domains in the field of CPS design automation. The Cyberphysical System Design Automation Framework (CPSDAF) will be based on advances in CPS design theory based on current research and knowledge collected from global sources automatically via Semantic Web Services. A case study utilizing STEM students is discussed.

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