Object-Oriented Design Support System for Machine Tools.

Moriwaki, Toshimichi; Nunobiki, Masayuki

doi:10.1299/kikaic.58.655

Cited by 7 publications

(10 citation statements)

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“…Thus, a design module can be represented with several sets of more dependent pieces of knowledge and used to manage the overall flows of the complex processes involved in machine tools design in a consistent manner. From the practical design experience of the area of machine tools design, the processes of the machining centre we designed is roughly composed of the following four modules [5,6,7,8]:…”

Section: Design Modulesmentioning

confidence: 99%

“…Since the machine tools we are to design consist of several sub-units involving a large amount of conditions and data to consider [5,6,7,8], the knowledge used in the processes to design is of various kinds and complex [9,10,11,12]. Thus, for the architecture to be efficient and reliable, the interdependent knowledge for the design processes is decomposed into a level in which the knowledge and processes can be managed systematically.…”

Section: Introductionmentioning

confidence: 99%

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An integrated inference architecture for machine tools design involving complex knowledge

Cha

Park

Kim

2003

The International Journal of Advanced Manufacturing Technology

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This paper describes the inference architecture of an intelligent CAD system that is to be used for the design of machine tools in which a complex and large amount of knowledge is used. In order to investigate the issue of handling huge and complex knowledge, the design knowledge for the machine tools design is categorised into four types and inference methods for them are identified respectively; original design problems are decomposed into several modules of design processes and finally into sub-problems with the four types of knowledge as the basic elements in a top-down manner. We demonstrate the implementation of the architecture with the result on the machining centre design.Keywords Inference system AE Design knowledge AE Intelligent CAD AE Decomposition the key issue for the inference architecture of the Int

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Section: Design Modulesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An integrated inference architecture for machine tools design involving complex knowledge

Cha

Park

Kim

2003

The International Journal of Advanced Manufacturing Technology

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“…are inevitably involved. Accordingly, if such complex and repeated tasks can be replaced by intelligent CAD systems, more efficient designs and shorter product development cycles can be obtained Moriwaki & Nunobiki, 1992).…”

Section: Implementation Of An Intelligent-cad System For Machine Toolmentioning

confidence: 99%

A constraint-based inference system for satisfying design constraints

Heon

Kim

2000

KSME International Journal

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We propose an efficient algorithm for the purpose of satisfying a wide range of design constraints represented with equality and inequality equations as well as production rules. The algorithm employs simulated-annealing and a production rule inference engine and works on design constraints represented with networks. The algorithm fulfills equality constraints through constraint satisfaction processes like variable elimination while taking into account inequality constraints and inferring production rules. It can also reduce the load of the optimization procedure if necessary. We demonstrate the implementation of the algorithm with the result on machine tool design.

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“…To guarantee the required accuracy, stiffness, reliability, performance, etc., machine tools need to fulfil a number of requirements, which substantially depend on their structure's configurations. It is therefore necessary to determine the configuration of the machine tool structure in such a way that it meets the technical requirements to the highest degree [10,11,19].…”

Section: Introductionmentioning

confidence: 99%

Optimal configurations of the machine tool structure by means of neural networks

Heisel

Pasternak

Storchak

et al. 2011

Prod. Eng. Res. Devel.

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This paper deals with the automations of the machine tools' development in the phase of selecting of the optimal structure's configuration by means of neural networks. For this purpose, an algorithm and a programme were developed. By using of them a set of all possible machine tool structure's configurations on the basis of the relations between the movements of tool, workpiece and machine tool units by the machining is determined. Then, structure's configurations, which meet the needed technical requirements, are extracted from this set. The usage of neural networks, due to their learning ability, makes the performance of these steps not only faster as the manual performance but more flexible as the similar programmes based on Booleans logic.

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Object-Oriented Design Support System for Machine Tools.

Cited by 7 publications

References 0 publications

An integrated inference architecture for machine tools design involving complex knowledge

An integrated inference architecture for machine tools design involving complex knowledge

A constraint-based inference system for satisfying design constraints

Optimal configurations of the machine tool structure by means of neural networks

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