Mechanical design methodology: Implications on future developments of Computer-Aided Design and Knowledge-Based Systems

1987 ◽  
Vol 2 (1) ◽  
pp. 21-29 ◽  
Author(s):  
David G. Ullman ◽  
Thomas A. Dietterich
Keyword(s):  
Computer Aided Design ◽  
Design Methodology ◽  
Mechanical Design ◽  
Knowledge Based Systems ◽  
Future Developments ◽  
Knowledge Based ◽  
Computer Aided ◽  
Aided Design

scholarly journals Are Two Heads Better Than One For Computer-Aided Design?

2021 ◽  
pp. 1-38
Author(s):  
Vrushank Phadnis ◽  
Hamza Arshad ◽  
David Wallace ◽  
Alison Olechowski
Keyword(s):  
Computer Aided Design ◽  
Mechanical Design ◽  
Major Effect ◽  
Pair Programming ◽  
Digital Modeling ◽  
Computer Aided ◽  
Model Instance ◽  
Parallel Mode ◽  
Aided Design ◽  
Pair Work

Abstract With the availability of cloud-based software, ubiquitous internet and advanced digital modeling capabilities, a new potential has emerged to design physical products with methods previously embraced by the software engineering community. One such example is pair programming, where two coders work together synchronously to develop one piece of code. Pair programming has been shown to lead to higher quality code and designer satisfaction. Cutting-edge collaborative Computer-aided Design (CAD) technology affords the possibility to apply synchronous collaborative access in mechanical design. We test the generalizability of findings from the pair programming literature to the same dyadic configuration of work in CAD, which we call pair CAD. We performed human subject experiments with 60 participants to test three working styles: individuals working by themselves, pairs sharing control of one model instance and input, and pairs able to edit the same model simultaneously from two inputs. We compare the working styles on speed and quality, and propose mechanisms for our observations via interpretation of patterns of communication, satisfaction, and user cursor activity. We find that on a per-person basis, individuals were faster than pairs due to coordination and overhead inefficiencies. We find that pair work, when done with a single shared input, but not in a parallel mode, leads to higher quality models. We conclude that it is not Industry 4.0 technologies alone that influence designer output; choices regarding work process have a major effect on design outcomes, and we can tailor our process to suit project requirements.

Design and Implementation of an Intelligent CAD System

1987 ◽  
Author(s):  
M. J. Jakiela ◽  
P. Y. Papalambros
Keyword(s):  
Computer Aided Design ◽  
Design System ◽  
Knowledge Based Systems ◽  
Production Rules ◽  
Automated Assembly ◽  
Cad System ◽  
Design And Implementation ◽  
Knowledge Based ◽  
System Requirements ◽  
Aided Design

Abstract System requirements and system design for integrating a production rule program and a computer aided design system are presented. An implementation using a commercially available graphics modeling system is described. A “suggestive mode” interface is programmed as an example with application to design for automated assembly. Initial use of the implementation indicates that encoding production rules is more difficult than with conventional text-only knowledge-based systems, but that this system is a more effective way to use artificial intelligence techniques in design.

Computer-Aided Form Generation for Product Design

2010 ◽  
Vol 97-101 ◽  
pp. 3785-3788
Author(s):  
Hung Cheng Tsai ◽  
Tien Li Chen ◽  
Hung Jung Tsai ◽  
Fei Kung Hung
Keyword(s):  
Computer Aided Design ◽  
Product Form ◽  
Knowledge Based ◽  
Blending Method ◽  
Computer Aided ◽  
Design Activities ◽  
Form Design ◽  
Product Form Design ◽  
Aided Design ◽  
Product Forms

The product form design activities involve a high degree of uncertainty and complexity and are therefore not easily formulated, coded and regularized. Consequently, very few of the computer-aided design approaches presented in the literature can support the conceptual form design tasks typically performed at the preliminary stages of a product’s development cycle. To enable designers to perform their design activities more objectively and efficiently, this paper combines the principles of fuzzy set theory, the shape-blending method and genetic algorithms to generate a knowledge-based approach for product form design based upon a database describing the relationships between different product forms and their corresponding perceptual image evaluations.

CONSTRUCTING SURFACE FEATURES THROUGH DEFORMATION

2010 ◽  
Vol 10 (01) ◽  
pp. 41-56
Author(s):  
XIAOPING WANG ◽  
SHENGLAN LIU ◽  
LIYAN ZHANG
Keyword(s):  
Computer Graphics ◽  
Computer Aided Design ◽  
Mechanical Design ◽  
Computational Cost ◽  
Experimental Results ◽  
Mathematical Approach ◽  
Computer Aided ◽  
Aided Design ◽  
Low Computational Cost ◽  
Frequent Problem

A frequent problem in computer aided mechanical design is the construction of arbitrarily-shaped ribs and beads on surfaces, to increase their rigidity or for aesthetic reasons. We improve upon a previous mathematical approach for defining such ribs and beads, based on using so-called extension functions to define a deformation matrix, which is then applied to the underlying shape. Our improvements offer important practical advantages: firstly, by use of cosine extension functions, we get a greater control over, and flexibility of, rib shape, including the possibility of repeating ribs; secondly, we can directly control the spine curves. We give experimental results to demonstrate that the method is simple and intuitive, has low computational cost, and is potentially useful for computer aided design, computer graphics and other applications.

Knowledge-Based Computer-Aided Design System for Ingot Casting Processes

1990 ◽  
Author(s):  
R. Viswanath ◽  
Yogesh Jaluria
Keyword(s):  
Heat Transfer ◽  
Decision Making ◽  
Computer Aided Design ◽  
Heat Transfer Analysis ◽  
Manufacturing Processes ◽  
Ingot Casting ◽  
Design Rules ◽  
Knowledge Based ◽  
Computer Aided ◽  
Aided Design

Abstract Thermal manufacturing processes are typically those in which a material is subjected to a temporal thermal cycle like casting, extrusion and heat treatment of metals and plastics. The complexity of the design process for all these systems stems from the need to simulate complicated heat transfer, fluid flow and phase change phenomena and couple the results with the design rules and knowledge available on the manufacturing processes to obtain satisfactory designs. In this regard, the ability of expert systems to use heuristic reasoning has proved to be a powerful tool in the computer-aided-design of thermal manufacturing systems. In this paper, the salient features of a knowledge-based system developed for the design of ingot casting process has been outlined. A Prolog based decision making front-end is interfaced with a Fortran based computational engine for rapid design. The results from the heat transfer analysis obtained from the computational module, are coupled to the evaluation module, which checks for satisfaction of the design criteria and violation of the design constraints. The decision making module uses a set of design rules to manipulate the variables until the design specifications are satisfied. Modularity and flexibility are maintained using an object-oriented format. Several interesting design acceleration features like learning from simple mathematical models and design extraction from previous designs are illustrated. The main features of this knowledge-based tool and the savings in time resulting from using these special features are discussed in detail.

Intelligent Product Design

2010 ◽  
pp. 245-272
Author(s):  
Zude Zhou ◽  
Huaiqing Wang ◽  
Ping Lou
Keyword(s):  
Complex System ◽  
Artificial Intelligence ◽  
Computer Aided Design ◽  
Design Theory ◽  
Mechanical Design ◽  
Computer Aided ◽  
Intelligent Product ◽  
Aided Design ◽  
Designing Method

CAD (Computer Aided Design) is almost instead of classical designing method which drawing plan on paper nowadays. With the development of information technology, the traditional CAD technology becomes rather matured and is developing towards a modern direction of being further integrative, intelligent, and collaborative, namely ICAD (Intelligent CAD). ICAD is a complex system consist of multi agents or multi experts to design product. It can simulate expert in this area to help designer accomplish design. ICAD is based on some technology such as artificial intelligence, CAD technique, expert systems technique, modern mechanical design theory and database technique. In this chapter, the reason of ICAD proposing is given firstly, then some research and application is described on the second sector. Thirdly, some theory and technique about ICAD is discussed. Finally, a case study is presented.

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