The Preliminary Design of Mechanical Drive and Transmission Components

1995 ◽  
Author(s):  
Jung-Hua Yeh ◽  
F. W. Liou
Keyword(s):  
Power Transmission ◽  
Transmission System ◽  
Preliminary Design ◽  
Knowledge Based System ◽  
Knowledge Based ◽  
System A ◽  
Component Design ◽  
The Matrix ◽  
Practical Algorithm ◽  
Inherent Nature

Abstract Selecting the appropriate components for a mechanical drive and transmission system is complicated not only by the inherent nature of the system designed, but also by the wide varieties of components available from a multitude of manufacturers. The integration of these components is more important when designing a working system where specific constraints have been imposed. Presented in this paper is an investigation of component relationship in the form of a knowledge-based-system which provides a practical algorithm for preliminary design of mechanical drive and transmission system. A design abstraction and an integration attributes in the power transmission components are addressed. The development of the matrix table for optimizing component design is also presented.

Knowledge-Based System for the Preliminary Design of Mixing Equipment

1995 ◽  
Vol 34 (9) ◽  
pp. 3059-3067 ◽  
Author(s):  
Tuomas Koiranen ◽  
Andrzej Kraslawski ◽  
Lars Nystrom
Keyword(s):  
Preliminary Design ◽  
Knowledge Based System ◽  
Knowledge Based

A Knowledge-Based System for Sharing and Reusing Tacit Knowledge in Robotic Manufacturing

2010 ◽  
Vol 1 (4) ◽  
pp. 61-78
Author(s):  
Lei Wang ◽  
Yajie Tian ◽  
Tetsuo Sawaragi ◽  
Yukio Horiguchi
Keyword(s):  
Tacit Knowledge ◽  
Common Knowledge ◽  
Robotic Assembly ◽  
Skilled Workers ◽  
Knowledge Based System ◽  
Root Cause ◽  
Knowledge Based ◽  
System A ◽  
Explanation Based Learning ◽  
A Company

A critical problem in robotic manufacturing is that the task of teaching robotics is rather time-consuming. This has become a serious problem in the present age of cost reduction. Collaboration with a company in the field has revealed that the root cause of this problem is that there is not a common knowledge base in this domain, which can serve as shared and reused knowledge. In robotic manufacturing, the skills and experiences of skilled workers are a form of tacit knowledge that is difficult to be acquired and transferred to other workers and robots. This paper proposes a knowledge-based system for sharing and reusing tacit knowledge in the robotic assembly domain. In this system, a modified EBL (Explanation-based Learning) method is proposed to generalize tacit knowledge from specific robotic programs made by skilled workers. A newly operational criterion is proposed for the generalized tacit knowledge, which demands that it should be expressed understandably by human workers and be reusable by robots to generate programs automatically.

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