Intelligent Design And Manufacturing edited by Andrew Kusiak John Wiley & Sons, 1992, 753 pages incl. index (£79.00)

Robotica ◽  
1992 ◽  
Vol 10 (6) ◽  
pp. 580-580
Author(s):  
Tony Owen
Author(s):  
El-Sayed Aziz ◽  
C. Chassapis

Product development is a process with complicated procedures, which incorporate many aspects of knowledge, experience and teamwork. Specifically, mechanical system design requires an iterative process to determine the desired component design parameters that would satisfy kinematic, performance and manufacturability requirements, which would result in an efficient and reliable operation of speed reduction units. This article describes an approach towards the development of intelligent design support environments for mechanical transmission systems, along with implementation details of a distributed knowledge-based gearing design and manufacturing system that is deployed over the Internet. The system embodies the various tasks of the design process, with modules that address: performance evaluation, process optimization, manufacturability analysis, and provides reasoning and decision-making capabilities for reducing the time between gear tooth creation, detailed design and final production. This methodology is highly desirable in that it is able to simulate real working conditions, evaluate and optimize the design effectively, prevent designers from time-consuming iterations and reduce long and expensive test phases. In an application example relating to process design of a forged gearing system, once a successful power rating is achieved within the design environment through FEA based techniques, the system automatically feeds input parameters into the manufacturing module which carries out all process design and planning stages. Estimation of the number of preforming stages, generation of detail die drawings, and forging load and energy requirements are calculated based on available material design databases, knowledge-based rules and feature-level calculations. Utilization of the World Wide Web, as a medium for the implementation of gear design and its agile manufacturing over the Internet is also being demonstrated. A combination of HTML, JavaScript, VRML, CGI Script and C++ based procedures is used to bring this capability to users distributed anywhere in the world. With the above developments, the problems of experience and expertise for the designers are overcome and unexpected design iterations that cause wastage of engineering time and effort, are avoided. The environment can be easily enhanced with other types of gearing systems.


Author(s):  
Bin He ◽  
Yu Song ◽  
Yan Wang

Abstract A digital twin (DT) is the real-time digital replica of a physical entity and system. It enables the seamless integration between digital models and physical devices so that the operation, monitoring, control, and upgrade of the system, as well as personnel training, can be performed in a cyber-physical mixture mode. DTs integrate technologies such as multiphysics multiscale modeling, Internet of Things, smart sensing, machine learning, and model-based control, and act as a bridge between the physical world and the virtual world by mapping the whole life cycle of physical systems with real-time sensor data, and maintaining the complete digital trace. In the era of Industry 4.0, DT is becoming a powerful engine in the intelligent design of products and intelligent manufacturing.


Sign in / Sign up

Export Citation Format

Share Document