The introduction of the Product Design using Optimization tool and Simulation tools.

2004 ◽  
Vol 2004.14 (0) ◽  
pp. 252-255
Author(s):  
Kazuo IIDA ◽  
Asahiko OTANI
1999 ◽  
Author(s):  
Ronald C. Braun ◽  
Warren G. Marx

Abstract Design and manufacturing modeling and simulation have been identified as important to the principles of lean product development. Early in the product development cycle, the use of three-dimensional (3-D) engineering models allows us to electronically (or virtually) prototype physical products, and conduct product feasibility and producibility studies. Manufacturing issues can be identified early and used to drive the product design toward the lowest cost. This paper describes the Northrop Grumman Corporation (NGC) approach to extending classic prototype simulation to virtual manufacturing (VM) tools that accommodate the visualization of interacting production processes, process planning, scheduling, and assembly planning. Previous simulation tools were limited to the design environment. Our tools not only support design; they also provide functionality by bringing the results to the assembly floor. The use of these tools has resulted in “first-time quality” both above and on the shop floor, with significant reductions in product cost and cycle time.


Author(s):  
B. P. Gautham ◽  
Sreedhar Reddy

The materials and manufacturing industry is undergoing transformation through adoption of various digital technologies. Though the adoption of digital platforms for operational needs is significant, their adoption for core design and development of products and their manufacturing are limited. While the use of physics and data-driven modeling-and-simulation tools is increasing, these are not systematically leveraged for larger benefit. Besides these tools, product design and development requires deep contextual knowledge necessitating systematic capture of data and knowledge. To achieve this, we need flexible digital platforms that enable integration of diverse design domains and tools through a common semantic basis and construction of engineering decision workflows leveraging various simulation tools and knowledge. This chapter builds these requirements through presenting three case studies from the materials manufacturing industry and presents requirements for a digital platform. Finally, one such platform, TCS PREMAP, being developed by the authors is described in some detail.


2013 ◽  
Vol 336 ◽  
pp. 135-146 ◽  
Author(s):  
Zenon Ignaszak ◽  
Paweł Popielarski ◽  
Jakub Hajkowski

This paper highlights permanent development of process virtualization in the mechanical engineering industry, especially in the area of foundry. Virtualization is increasingly developed on the stage of product design and materials technologies optimization. Simultaneously, increasing expectations of design and process engineers regarding the practical effectiveness of applied simulation systems is observed. To enhance the knowledge in the scope of modelling and simulation in the foundry processes, one should be acquainted with the hard modelling based on physical-mathematical formula and also the soft modelling, burdened with simplifications resulting from both knowledge level on description of particular phenomena and level of theirs complexity. The trends observed in modelling of foundry processes and expectations of users compared with creators upgraded propositions new, additional modules based mostly on poorly tested theory are discussed. In such cases, each new module should be tested on sensitivity of additional parameters, which appear in these new modules. If needed and possible, these tests ought to be related to validation of the whole complex model containing such new modules. The purpose is to obtain simulation tools allowing the most possible realistic prognosis of the casting structure, including indication, with the highest possible probability, places in the casting that are endangered with the possibility of a gas and shrinkage porosity formation. These problems with elements of model validation are presented in the paper.


1932 ◽  
Vol 147 (3) ◽  
pp. 188-189
Author(s):  
Sylvester J. Liddy ◽  
John C. Pemberton
Keyword(s):  

2006 ◽  
Vol 103 (2) ◽  
pp. 67-75 ◽  
Author(s):  
L. Ferrand ◽  
P. Reynes ◽  
F. Le Duigou

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