Knowledge-based hand tool selection in concurrent design of mechanical systems

1995 ◽  
Vol 6 (3) ◽  
Author(s):  
NagarjunV. Yetukuri ◽  
Ranko Vujosevic
Keyword(s):  
Mechanical Systems ◽  
Concurrent Design ◽  
Tool Selection ◽  
Knowledge Based ◽  
Hand Tool

scholarly journals Knowledge-based support for management of concurrent, multidisciplinary design

1991 ◽  
Vol 5 (2) ◽  
pp. 77-95 ◽  
Author(s):  
Raymond E. Levitt ◽  
Yan Jin ◽  
Clive L. Dym
Keyword(s):  
Decision Making ◽  
Multidisciplinary Design ◽  
Concurrent Design ◽  
Design Management ◽  
Design Decision ◽  
Knowledge Based ◽  
Design Changes ◽  
Distributed Problem Solving ◽  
Project Life ◽  
And Control

Artificial intelligence (AI) applications to design have tended to focus on modeling and automating aspects of single discipline design tasks. Relatively little attention has thus far been devoted to representing the kinds of design ‘metaknowledge’ needed to manage the important interface issues that arise in concurrent design, that is, multidisciplinary design decision-making. This paper provides a view of the process and management of concurrent design and evaluates the potential of two AI approaches—blackboard architectures and co-operative distributed problem-solving (CDPS)—to model and support the concurrent design of complex artifacts. A discussion of the process of multidisciplinary design highlights elements of both sequential and concurrent design decision-making. We identify several kinds of design metaknowledge used by expert managers to: partition the design task for efficient execution by specialists; set appropriate levels of design conservatism for key subsystem specifications; evaluate, limit and selectively communicate design changes across discipline boundaries; and control the sequence and timing of the key (highly constrained and constraining) design decisions for a given type of artifact. We explore the extent to which blackboard and CDPS architectures can provide valid models of and potential decision support for concurrent design by (1) representing design management metaknowledge, and (2) using it to enhance both horizontal (interdisciplinary) and vertical (project life cycle) integration among product design, manufacturing and operations specialists.

Tool selection, ergonomics and economics: a comparison study between traditional and proposed broader ergonomic hand tool evaluation

2022 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Thomas M. Schnieders ◽  
Colten W. Fales ◽  
Ahmad Abdelhafiz Mumani ◽  
Erik Danford Klein ◽  
Joseph Yun Ming Kim ◽  
...  
Keyword(s):  
Comparison Study ◽  
Tool Selection ◽  
Tool Evaluation ◽  
Hand Tool

Intelligent Tool Selection for Machining Cylindrical Components: Part 1: Logic of the Knowledge-Based Module

1995 ◽  
Vol 209 (3) ◽  
pp. 173-182 ◽  
Author(s):  
P G Maropoulos ◽  
P A T Gill
Keyword(s):  
Metal Cutting ◽  
Testing Procedure ◽  
Similarity Criteria ◽  
Machining Performance ◽  
Tool Selection ◽  
Knowledge Based ◽  
Operation Rules ◽  
Practical Engineering ◽  
Selection For ◽  
Definition Of

This paper presents the logic of a knowledge-based system for turning tool selection. The selection philosophy is based on machining performance and the system uses information regarding tools and cutting data from ‘approved’ operations which have been proved on machine tools following a specific testing procedure. For any new operation, rules are used to identify its level of similarity to previously performed, approved operations. The similarity criteria are based on metal cutting theory and practical engineering knowledge and incorporate considerations in relation to the component and cutting profile geometry, material type and operation type as well as tool and insert characteristics. The goal is to identify similar approved operations, retrieve the corresponding tool and cutting data and sort them in order of preference. A key function of the system is that according to the level of similarity, the retrieved information is either used as it is or is automatically modified to suit the new operation. The main benefits from using the system are improved engineering consistency in the decision making for selecting tools and cutting conditions, improved utilization of tools and definition of efficient machining conditions.

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