Intelligent fixture planning system for prismatic parts

Author(s):  
Abdulrahman Al-Ahmari ◽  
Emad Nasr ◽  
Awais Khan ◽  
Ali Kamrani
ACTA IMEKO ◽  
2015 ◽  
Vol 4 (2) ◽  
pp. 10 ◽  
Author(s):  
Vidosav D. Majstorovic ◽  
Slavenko M. Stojadinovic ◽  
Tatjana V. Sibalija

Inspection on coordinate measuring machines (CMMs) is based on software support for various classes of metrological tasks, i.e. tolerances. Today, the design of a uniform inspection plan for a measuring part presents a rather complex issue due to the following: (i) metrological complexity of a measuring part; (ii) skills and knowledge of a designer / inspection planner; and (iii) software for CAI model, considered as a part of an integrated CAD-CAPP-CAM-CAI system. This issue could be addressed by the usage of expert systems that generate a conceptual inspection plan for a measuring part, based on which the inspection plan for a selected CMM could be automatically developed. This paper presents the development of a model of an automatic inspection planning system for CMMs, and, in particular, the developed knowledge base model.


2008 ◽  
Vol 38 (5-6) ◽  
pp. 501-513 ◽  
Author(s):  
S. Bansal ◽  
S. Nagarajan ◽  
N. Venkata Reddy

2004 ◽  
Vol 4 (3) ◽  
pp. 235-241 ◽  
Author(s):  
Kenneth Castelino ◽  
V. Sundararajan ◽  
Roshan D’Souza ◽  
Balaji Kannan ◽  
Paul. K. Wright

AMPS is a fully automated process planning system for milling of 2.5D parts. It consists of different modules, each of which performs specific tasks like identification of removal volumes, setup and fixture planning, tool selection and tool path planning. This article focuses on the architecture of the planning system, the integration of the different modules and the interfaces needed for smooth flow of information between these modules. Current computer aided process planning (CAPP) practices were considered while defining interfaces so that these modules can be easily integrated into a commercial CAPP system.


Author(s):  
T. Srikanth Reddy ◽  
M. S. Shunmugam

An automated planning system extracts data from design models and processes it efficiently for transfer to manufacturing activity. Researchers have used face adjacency graphs and volume decomposition approaches which make the feature recognition complex and give rise to multiple interpretations. The present work recognizes the features in prismatic parts considering Attributed Adjacency Matrix (AAM) for the faces of delta volume that lie on rawstock faces. Conceptually, intermediate shape of the workpiece is treated as rawstock for the next stage and tool approach direction is used to recognize minimum, yet practically feasible, set of feature interpretations. Edge-features like fillets/undercuts and rounded/chamfer edges are also recognized using a new concept of Attributed Connectivity Matrix (ACM). In the first module, STEP AP-203 format of a model is taken as the geometric data input. Datum information is extracted from Geometric Dimension and Tolerance (GD&T) data. The second module uses features and datum information to arrive at setup planning and operation sequencing on the basis of different criteria and priority rules.


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