Machining Process Knowledge Discovery Technology: On the Basis of MBD Process Model

2012 ◽  
Vol 271-272 ◽  
pp. 1006-1011
Author(s):  
Neng Wan ◽  
Zhi Yong Chang
Keyword(s):  
Knowledge Discovery ◽  
Process Design ◽  
Process Model ◽  
Process Models ◽  
Machining Process ◽  
Design Knowledge ◽  
Process Ontology ◽  
Process Knowledge ◽  
Discovery Method ◽  
Machining Characteristics

To tackle process knowledge discovery difficulty in machining process, this paper studies knowledge discovery method of 2.5–dimensional machining characteristics based on process model with model based definition technology, and finds out machining process design knowledge with the natural structured process description ability of MBD process model. Firstly, the composition of machining geometry ontology and process ontology is analyzed. Secondly, decision tree between ontology are obtained by analyzing abundant samples of MBD process model. Thus, the process and method of reasoning from geometry ontology to process ontology is achieved. Finally, the validity of process knowledge discovery method is exemplified with a group of MBD process models.

Geometrical Modeling Method of Process Driven by Typical Process Model

2013 ◽  
Vol 770 ◽  
pp. 361-365
Author(s):  
Yu Peng Xin ◽  
Xi Tian Tian ◽  
Li Jiang Huang ◽  
Jun Hao Geng
Keyword(s):  
Process Model ◽  
Modeling Method ◽  
Process Models ◽  
Machining Process ◽  
Process Ontology ◽  
Geometrical Modeling ◽  
Mapping Rules ◽  
Model Mapping ◽  
Generate Process ◽  
Typical Process

In order to improve the efficiency of NC machining programming, and realize the rapid establishment of blank model or middle blank model, a geometrical modeling method of process driven by typical process model was put forward. This method is based on the typical process for the establishment of typical process model, to establish a mapping between modeling operation and machining process ontology, and format model mapping rules. In the process geometrical modeling of the high similarity parts, by calling the typical process model mapping rules, can generate process models automatically. A enterprise disc type parts typical process as an example is used to verify the proposed method.

Research on a New Model of MBD-Based Machining Process Design

2011 ◽  
Vol 121-126 ◽  
pp. 1058-1062
Author(s):  
Neng Wan ◽  
Yang Yang
Keyword(s):  
Process Design ◽  
Geometric Modeling ◽  
Process Model ◽  
Process Management ◽  
Field Application ◽  
Machining Process ◽  
Data Conversion ◽  
Data Link ◽  
Process Ontology ◽  
New Model

In order to change the incompleteness of data link, tediousness of data conversion and unclearness of process expression in the traditional two-dimensional machining process design, this paper researches on a new model of MBD-based one. The author proposes the 3Dprocess model as the carrier to manufacture information, and establishes closed loop architecture composed of 3D machining process design, 3D process management and feedback of field application of 3Dmachining process. The author then analyzes the composition elements of machining process model under the condition of MBD, proposes the establishment of machining process ontology and geometric modeling ontology, and achieves the conversion between these two. This paper researches on the composition of MBD machining process card, establishes the mapping relation between process expression elements and process card elements in the 3Dmachining process model, and ultimately realizes the machining process design in the 3Denvironment.

Knowledge Discovery Process Models

2012 ◽  
pp. 72-100 ◽  
Author(s):  
Mouhib Alnoukari ◽  
Asim El Sheikh
Keyword(s):  
Life Cycle ◽  
Knowledge Discovery ◽  
Process Model ◽  
Common Factor ◽  
Final Outcome ◽  
Process Models ◽  
Data Driven ◽  
Discovery Process ◽  
The Common ◽  
Discovery Process Models

Knowledge Discovery (KD) process model was first discussed in 1989. Different models were suggested starting with Fayyad’s et al (1996) process model. The common factor of all data-driven discovery process is that knowledge is the final outcome of this process. In this chapter, the authors will analyze most of the KD process models suggested in the literature. The chapter will have a detailed discussion on the KD process models that have innovative life cycle steps. It will propose a categorization of the existing KD models. The chapter deeply analyzes the strengths and weaknesses of the leading KD process models, with the supported commercial systems and reported applications, and their matrix characteristics.

Toward an integrated knowledge discovery and data mining process model

2010 ◽  
Vol 25 (1) ◽  
pp. 49-67 ◽  
Author(s):  
Sumana Sharma ◽  
Kweku-Muata Osei-Bryson
Keyword(s):  
Data Mining ◽  
Knowledge Discovery ◽  
Process Model ◽  
Process Models ◽  
Data Preparation ◽  
Important Goal ◽  
Efficiency And Effectiveness ◽  
Integrated Knowledge

AbstractThe knowledge discovery and data mining (KDDM) process models describe the various phases (e.g. business understanding, data understanding, data preparation, modeling, evaluation and deployment) of the KDDM process. They act as a roadmap for implementation of the KDDM process by presenting a list of tasks for executing the various phases. The checklist approach of describing the tasks is not adequately supported by appropriate tools, which specify ‘how’ the particular task can be implemented. This may result in tasks not being implemented. Another disadvantage is that the long checklist does not capture or leverage the dependencies that exist among the various tasks of the same and different phases. This not only makes the process cumbersome to implement, but also hinders possibilities for semi-automation of certain tasks. Given that each task in the process model serves an important goal and even affects the execution of related tasks due to the dependencies, these limitations are likely to negatively affect the efficiency and effectiveness of KDDM projects. This paper proposes an improved KDDM process model that overcomes these shortcomings by prescribing tools for supporting each task as well as identifying and leveraging dependencies among tasks for semi-automation of tasks, wherever possible.

The Rapid Design System of Stamping Process Based on KBE

2013 ◽  
Vol 347-350 ◽  
pp. 3460-3464
Author(s):  
Hong Hui Huang ◽  
Ling Yun Wang
Keyword(s):  
Process Design ◽  
Process Model ◽  
Knowledge Engineering ◽  
Design System ◽  
Design Quality ◽  
Process Knowledge ◽  
Model Driven ◽  
Development Platform ◽  
Progressive Dies ◽  
Stamping Process

This paper takes UGNX6.0 as the development platform, by using its UG/KF development tools, fusing feature and knowledge together, so as to realize the process associated with the geometric design knowledge and stamping process design. Based on the features of stamping process, the classification of stamping process knowledge has been studied. With the object-oriented method, the rule-based and instance-based technology for expressing and acquiring the stamping process knowledge is discussed. Based on this, the stamping process model driven by knowledge has been established. It showed the importance of the CAD technology in designing of relatively complex progressive dies. Based on the knowledge engineering process designed, the degree of intelligence stampings process design has been enhanced, design quality and efficiency has been improved, and the dependence of the process design experience of designers has been reduced.

Machining Process Models for Product and Process Design

1988 ◽  
Author(s):  
J. W. Sutherland ◽  
R. E. DeVor ◽  
S. G. Kapoor ◽  
P. M. Ferreira
Keyword(s):  
Process Design ◽  
Process Models ◽  
Machining Process ◽  
Product And Process

A survey of Knowledge Discovery and Data Mining process models

2006 ◽  
Vol 21 (1) ◽  
pp. 1-24 ◽  
Author(s):  
LUKASZ A. KURGAN ◽  
PETR MUSILEK
Keyword(s):  
Data Mining ◽  
Research And Development ◽  
Knowledge Discovery ◽  
Process Model ◽  
Process Models ◽  
Historical Overview ◽  
Future Directions ◽  
Comprehensive Comparison ◽  
Development Area ◽  
Current Standards

Knowledge Discovery and Data Mining is a very dynamic research and development area that is reaching maturity. As such, it requires stable and well-defined foundations, which are well understood and popularized throughout the community. This survey presents a historical overview, description and future directions concerning a standard for a Knowledge Discovery and Data Mining process model. It presents a motivation for use and a comprehensive comparison of several leading process models, and discusses their applications to both academic and industrial problems. The main goal of this review is the consolidation of the research in this area. The survey also proposes to enhance existing models by embedding other current standards to enable automation and interoperability of the entire process.

The Application of KBE on Stamping Process Design

2013 ◽  
Vol 760-762 ◽  
pp. 1842-1846
Author(s):  
Ling Yun Wang ◽  
Hong Hui Huang
Keyword(s):  
Process Design ◽  
Process Model ◽  
Feature Recognition ◽  
Process Knowledge ◽  
Model Driven ◽  
Development Platform ◽  
Progressive Dies ◽  
Stamping Process ◽  
Part Feature

UGNX6.0 is used as the development platform by its UG/KF development tools, fusing feature and knowledge together, so as to realize the process associated with the geometric design knowledge and stamping process design. Based on the features of stamping process, the classification of stamping process knowledge has been studied. With the object-oriented method, the rule-based and instance-based technology for expressing and acquiring the stamping process knowledge is discussed. Based on this, the stamping process model driven by knowledge has been established. A bending sheet was taken as an example in introducing the designing process of progressive die based on UG_PDW. The process arrangement was mainly introduced, and the bending part feature recognition and modeling were all elaborated and related examples were given in the paper. It showed the importance of the CAD technology in designing of relatively complex progressive dies.

A Design Process Model With Multiple Design Object Models

1993 ◽  
Author(s):  
Masaharu Yoshioka ◽  
Masahiko Nakamura ◽  
Tetsuo Tomiyama ◽  
Hiroyuki Yoshikawa
Keyword(s):  
Design Process ◽  
Process Model ◽  
Integrated Design ◽  
Design Knowledge ◽  
Prototype System ◽  
Object Knowledge ◽  
Process Knowledge ◽  
Design Object ◽  
Design Process Model ◽  
Object Models

Abstract An intelligent CAD system is not merely a set of intelligent design tools, but rather it must be an intelligent, integrated design environment. This requests it must be equipped with a large scale knowledge base in which design knowledge is intensively and systematically stored. To do so, design knowledge must be systematically formalized, made computable, and organized. The present paper investigates fundamental issues of systematization of design knowledge. Design knowledge has two categories; i.e., design object knowledge and design process knowledge. In our previous reports, we have formalized a computable design process model to represent design process knowledge and the concept of metamodel dealing with multiple design object models. This paper proposes a framework to achieve harmonized combination of these two. In this framework, the computable design process model navigates the metamodel mechanism to generate and modify models of the design object. We describe a prototype system and illustrate an example of ship design.

scholarly journals Integrated Ionic Liquid and Absorption Process Design for Carbon Capture: Global Optimization Using Hybrid Models

2021 ◽  
Author(s):  
Xiang Zhang ◽  
Xuechong Ding ◽  
Zhen Song ◽  
Teng Zhou ◽  
Kai Sundmacher
Keyword(s):  
Ionic Liquid ◽  
Process Design ◽  
Design Problem ◽  
Carbon Capture ◽  
Process Model ◽  
Global Optimum ◽  
Process Models ◽  
Model Complexity ◽  
Absorption Process ◽  
Thermodynamic Models

A new method for integrated ionic liquid (IL) and absorption process design is proposed where a rigorous rate-based process model is used to incorporate absorption thermodynamics and kinetics. Different types of models including group contribution models and thermodynamic models are employed to predict the process-relevant physical, kinetic, and thermodynamic (gas solubility) properties of ILs. Combining the property models with process models, the integrated IL and process design problem is formulated as an MINLP optimization problem. Unfortunately, due to the model complexity, the problem is prone to convergence failure. To lower the computational difficulty, tractable surrogate models are used to replace the complex thermodynamic models while maintaining the prediction accuracy. This provides an opportunity to find the global optimum for the integrated design problem. A pre-combustion carbon capture case study is provided to demonstrate the applicability of the method. The obtained global optimum saves 14.8% cost compared to the Selexol process.

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