Integrated Computational Materials Engineering and Cost Models Development for Ship Production
- Daniel Bechetti (Naval Surface Warfare Center - Carderock Division (NSWCCD)) | Michele L. Bustamante (Massachusetts Institute of Technology) | Haseung Chung (University of Michigan) | Matthew D. Collette (University of Michigan) | Pingsha Dong (University of Michigan) | Mark Doroudian (Engineering Systems International (ESI)) | Randy Dull (Edison Welding Institute) | Charles R. Fisher (Naval Surface Warfare Center - Carderock Division (NSWCCD)) | Alexander R. Gonzalez (American Bureau of Shipping) | Yogendra Gooroochurn (Engineering Systems International (ESI)) | Michael Harbison (HII-Ingalls Shipbuilding) | S. Jack Hu (University of Michigan) | T.D. Huang (HII-Ingalls Shipbuilding) | Trey Neveux (University of Michigan) | Richard Roth (Massachusetts Institute of Technology) | Harry Rucker (HII-Ingalls Shipbuilding) | Steven Scholler (HII-Ingalls Shipbuilding) | Jennifer K. Semple (The Ohio State University) | Matthew Sinfield (Naval Surface Warfare Center - Carderock Division (NSWCCD)) | Yu-Ping Yang (Edison Welding Institute) | Wei Zhang (The Ohio State University)
- Document ID
- The Society of Naval Architects and Marine Engineers
- SNAME Maritime Convention, 24-28 October, Houston, Texas
- Publication Date
- Document Type
- Conference Paper
- 2017. The Society of Naval Architects and Marine Engineers
- cost estimating, distortion, thin-steel design, ICME, shipbuilding
- 0 in the last 30 days
- 12 since 2007
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Modern lightweight designs for ships, vehicles, and aircraft often pose significant new challenges in construction due to extensive local buckling distortions during construction. Dimensional accuracy control throughout assembly welding is a critical issue for all major manufacturing industries in order to ensure product quality and final structural integrity. While modeling tools for welding distortion currently exist, they are typically used for parts with high production runs and small enough sizes to justify fabrication optimization.
In the shipbuilding industry, individual deck panels are nearly unique parts that can be as large as 3,600 ft2 and weigh over 50,000 lbs depending on the location of these panels in the final erected location on the ship. Current available tools are either inadequate or ineffective for analysis on that scale. Another obstacle to effective distortion control is that both the redesigning of structural panels and the process changes to reduce distortion create new costs. In the absence of cost models that can predict the cost avoidance potential of optimization, these upfront costs present an unacceptable risk potential for budget overruns and schedule delays.
This investigation aims to address these issues by developing an Integrated Computational Materials Engineering (ICME) toolset for distortion prediction and an accompanying cost model to estimate cost changes due to greater or lesser distortion. When used in conjunction, the ICME toolset and cost model will allow for optimized fabrication designs and processes to improve quality and reduce total acquisition costs.
|File Size||933 KB||Number of Pages||12|