A Comparative Study on the Theoretical Process Model of Design Knowledge

2020 ◽  
Vol 23 (1) ◽  
pp. 147-154
Author(s):  
Sungjoon Kim
2010 ◽  
Vol 136 ◽  
pp. 216-220
Author(s):  
W.D. Jin ◽  
H. Guo

Reuse of design knowledge may play an important role during the variant design and improvement of complex mechanical products. In the paper, a design knowledge reuse model and a knowledge-reuse-based process model with helical evolution were proposed. Effective management and timely updating technology of design knowledge was also analyzed and explored, and a knowledge-reuse-based computer design system was developed. Moreover, taking a slipform paver as an example, variant design and improving steps of complex mechanical products was intrduced.


2012 ◽  
Vol 271-272 ◽  
pp. 1006-1011
Author(s):  
Neng Wan ◽  
Zhi Yong Chang

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.


Author(s):  
Tetsuo Tomiyama

AbstractContributions of general design theory (GDT) proposed by Yoshikawa for the development of advanced CAD (computer-aided design) and for innovative design from the research results of a group at the University of Tokyo are illustrated. First, the GDT that formalizes design knowledge based on axiomatic set theory is reviewed. Second, this theoretical result is tested against experimental work on design processes. Although in principle the theoretical results agree with the experimental findings, some problems can be pointed out. From these problems a new design process model, called the refinement model, is established, which has better agreement with the experimental findings. This model implies three guiding principles in developing a future CAD system. One is that future CAD requires a mechanism for physics-centered modeling and multiple model management. Second, a mechanism for function modeling is also required, and the FBS (function-behavior-state) modeling is proposed. Third, intention modeling is also proposed for recording decision-making processes in design. These advanced modeling techniques enable creative, innovative designs. As an example, the design of self-maintenance machines is illustrated. This design example utilizes design knowledge intensively on a knowledge-intensive CAD. This is a new way of engineering and can be called knowledge-intensive engineering. The design of self-maintenance machines is, therefore, an example of knowledge-intensive design of knowledge-intensive products, which demonstrates the power of the design methodology derived from the GDT.


2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Vijaya Lakshmi Korupu ◽  
Manimozhi Muthukumarasamy

Abstract Efficient control of industrial delay processes is a challenging problem in the field of process control. Time delays are generally experienced in industrial processes from distance velocity lags, composition analysis loops, recycle time, mass, and energy transportation time. A high time delay adds a large phase lag to the system, thereby affecting the closed-loop control system stability and thus not easily controlled with PID approach. Smith predictor (SP) is a prominent technique based on process model for processes with high time delay. Unfortunately, the performance of SP deteriorates when the plant model is inaccurate. To overcome the problems related to conventional SP, various modifications have been suggested over the years in terms of structure alterations and controller parameters tuning improvements. This paper focuses on a comparative study of various Smith predictor configurations available in the literature for controlling inverse, integrating, stable and unstable industrial processes with time delay.


1987 ◽  
Vol 18 (2) ◽  
pp. 113-134 ◽  
Author(s):  
Bruce K. Schefft ◽  
Frederick K. Kanfer

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