The implementation of a virtual engineering system at John Zink Company, LLC is starting to change the engineering and development processes for industrial combustion equipment. This system is based on the virtual engineering software called VE-Suite being developed at the Virtual Reality Applications Center (VRAC) of Iowa State University. The goal of the John Zink virtual engineering system is to provide a virtual platform where product design, system engineering, computer simulation, and pilot plant test converge in a virtual space to allow engineers to make sound engineering decisions. Using the virtual engineering system, design engineers are able to inspect the layout of individual components and the system integration through an immersive stereo 3D visualization interface. This visualization tool allows the engineer not only to review the integration of subsystems, but also to review the entire plant layout and to identify areas where the design can be improved. One added benefit is to significantly speed up the design review process and improve the turn around time and efficiency of the review process. Computational Fluid Dynamics (CFD) is used extensively at John Zink to evaluate, improve, and optimize various combustion equipment designs and new product development. Historically, design and product development engineers relied on CFD experts to interpret simulation results. With the implementation of the virtual engineering system, engineers at John Zink are able to assess the performance of their designs using the CFD simulation results from a first person perspective. The virtual engineering environment provided in VE-Suite greatly enhances the value of CFD simulation and allows engineers to gain much needed process insights in order to make sound engineering decisions in the product design, engineering, and development processes. Engineers at John Zink are now focusing on taking the virtual engineering system to the next level: to allow for real-time changes in product design coupled with high-speed computer simulation along with test data to optimize product designs and engineering. It is envisioned that, when fully implemented, the virtual engineering system will be integrated into the overall engineering process at John Zink to deliver products of the highest quality to its customers and significantly shorten the development cycle time for a new generation of highly efficient and environmentally friendly combustion products.

1.
Bryden, K. M. and K. Ringel, The Virtual Workspace, DE, December, 2004.
2.
Thilmany, J., Flowing into the Future, Mechanical Engineering magazine, February, 2004.
3.
Bryden, K. M. and D. S. McCorkle (2004). “VE-Suite: A foundation for building virtual engineering models of high performance, low emission power plants,” 29th International Technical Conference on Coal Utilization & Fuel Systems, Clearwater, FL.
4.
Bryden, K. M. and D. McCorkle, Virtual Engineering: in powerful new workspace, the next-generation power plant is only the beginning, Mechanical Engineering magazine, 2005.
5.
VE-Suite, www.vesuite.org
6.
Bryden
K. M.
and
McCorkle
D. S.
, “
Evolutionary optimization of energy systems using population graphing and neural networks
,”
Advances in Engineering Software
,
35
(
5)
:
289
299
(
2004
).
7.
McCorkle
D. S.
,
Bryden
K. M.
, and
Carmichael
C. G.
, “
A New Methodology for Evolutionary Optimization of Energy Systems
,”
Computer Methods in Applied Mechanics and Engineering
,
192
(
44–46)
:
5021
5036
(
2003
).
8.
Bryden
K. M.
,
Ashlock
D. A.
,
McCorkle
D. S.
, and
Urban
G. L.
, “
Optimization of Heat Transfer Utilizing Graph Based Evolutionary Algorithms
,”
International Journal of Heat and Fluid Flow
,
24
(
2)
:
267
277
(
2003
).
9.
Huang, G., K. M. Bryden, D. S. McCorkle (2004). “Interactive design using CFD and virtual engineering.” 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, Albany, NY.
10.
Baukal, Jr., C., The John Zink Combustion Handbook, CRC Press, 2001.
11.
Simulink, http://www.mathworks.com/products/simulink
12.
OpenDX, http://www.opendx.org
13.
Fiper, http://www.fiperproject.com
14.
CCaffeine, http://www.cca-forum.org/ccafe
15.
Aspen, http://www.aspentech.com
16.
SCIRun, http://www.sci.utah.edu
17.
Protrax, http://www.protrax.co.uk
18.
Reichard
G.
and
Papamichael
K.
(
2005
)
Decision-making through performance simulation and code compliance from the early schematic phases of building design
.
Automation in Construction.
14
, no.
2
173
180
.
19.
Papamichael
K.
,
Chauvet
H.
,
LaPorta
J.
, and
Dandridge
R.
(
1999
)
Product modeling for computer-aided decision-making
.
Automation in Construction.
8
, no.
3
339
350
.
This content is only available via PDF.
You do not currently have access to this content.