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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2014(Vol.7, Issue:19)
Article Information:

Analysis and Comparison of Data from Design for Manufacturing Software and Catia Software for Machining and Workpiece Manufacturing Costs

M. Vahdani, G.H. Khalaf and A. Afsari
Corresponding Author:  M. Vahdani 
Submitted: December 14, 2013
Accepted: January 01, 2014
Published: May 15, 2014
Abstract:
In this study, the output parameters of design-for-manufacturing software prepared by this group and the powerful Catia Software have been studied, in an attempt to reach a vivid notion on minimizing the costs in units manufacturing industrial work pieces and further ascertain and compare the validity of the output from the new software with those obtained from Catia. Companies around the world are in serious competition for tools that would promote their production in terms of efficiency, speed and costs. On the other hand, designers would not be able to consider products in isolation; neither can they afford to spend too much time on an engineering idea proposed by a manufacturing engineer in order to discover suitable methods for manufacturing that product. The design and manufacturing engineers, therefore, need to work as a team in order to reach optimum solutions on designs and production methods, while effectively reducing production costs at the same time. It would be imperative to establish a powerful integrity between the experts, tools, methods and resources of the design, engineering and production stages of creating a product that would win the satisfaction of customers, designers and manufacturers.

Key words:  Catia, cost, design for manufacturing software, machining, modeling, optimization,
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Cite this Reference:
M. Vahdani, G.H. Khalaf and A. Afsari, . Analysis and Comparison of Data from Design for Manufacturing Software and Catia Software for Machining and Workpiece Manufacturing Costs. Research Journal of Applied Sciences, Engineering and Technology, (19): 4115-4123.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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