New Zealand Journal of Agricultural Research abstracts
Research on a process-oriented integrated system driven by
manufacturing information for the crank shaft of an agricultural diesel
engine
Zhao Gang
Fan Qin
Wang Fulin*
College of Mechanical Automation
Wuhan University of Science and Technology
Wuhan, 430081
PR China
*Author for correspondence: The State Key Laboratory of
Advanced Design and Manufacturing for Vehicle Body, Hunan University,
Changsha, 410082, PR China. snowcampus@163.com
Abstract A process-oriented integrated
information system
driven by manufacturing information (MI) is built for the crank shaft
6L23H of an agricultural diesel engine, in view of manufacturing
informatics. The research about the process-oriented system just
focuses on the process integration for geometric and non-geometric
information, the acquiring of MI model, the setup of object-oriented
engineering database, and the layout of logical inferential rules. The
key to setting up the information system lies in the architecture of
the MI model and its data structure during process planning. The
transfer and operation of MI from information source to information
acceptor is implemented by the interference and control of a cognition
subject. The mass of data of manufacturing information processed by the
system is stored in the object-oriented engineering database. On the
principle an inferential engine based on fuzzy comprehensive
evaluation, an optimal scheme of process planning is obtained by the
transfer and organisation of the mass of data. The system builds the
decision rules for operation sequencing in a technique decision module
according to the serial number of operation sequencing. The
process-oriented information system lays out several function modules
such as input and description modules, drawing generator, and process
card generator. The inferential engine based on the fuzzy comprehensive
evaluation, named the Mycin algorithm, is applied to the process
planning for the crank shaft. By the fuzzy function and fuzzy rule
matrix, a transfer from the definite variables, such as dimension,
intensity, thickness, and precision, to the fuzzy variables, involving
factor weight set, rule set and process set, is implemented. Relative
correct process is determined by the credibility of the manufacturing
process. This inferential engine is a new methodology applying fuzzy
conception to process planning. Safety factors and transition factors
in planning are taken into account sufficiently. A serial of schemes
are obtained by various thresholds. All these offer more choices for
process planning, more widely and more reliably. An example of process
planning for crank shaft in agricultural diesel engine verifies the
developed methodology based on manufacturing information.
Keywords agricultural diesel engine; crank
shaft; fuzzy
inferential engine; manufacturing information (MI); object-oriented
engineering database
A07075; Online publication date 17 December 2007; Received and
accepted 10 August 2007
New Zealand Journal of Agricultural Research, 2007, Vol. 50:
655–664
0028–8233/07/5005–0655 © The Royal Society of New Zealand 2007
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