SOAR: Smartweld optimization and analysis routines

Technical Report · Tue Oct 01 04:00:00 EDT 1996

DOI:https://doi.org/10.2172/412335· OSTI ID:412335

Eisler, G R; Fuerschbach, P W

A suite of MATLAB-based code modules has been developed to provide optimal weld schedules, regulating weld process parameters for C0[sub 2] and pulse ND:YAG laser welding methods, and arc welding in support of the Smartweld manufacturing initiative. The optimization methodology consists of mixed genetic and gradient-based algorithms to query semi-empirical, nonlinear algebraic models. The optimization output provides heat-input-efficient welds for user-specified weld dimensions. User querying of all weld models is available to examine sub-optimal schedules. In addition, a heat conduction equation solver for 2-D heat flow is available to provide the user with an additional check of weld thermal effects. The inclusion of thermodynamic properties allows the extension of the empirical models to include materials other than those tested. All solution methods are provided with graphical user interfaces and display pertinent results in two and three-dimensional form. The code architecture provides an extensible framework to add an arbitrary number of modules.

• Research Organization: Sandia National Labs., Albuquerque, NM (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 412335
• Report Number(s): SAND--96-2378; ON: DE97000872
• Country of Publication: United States
• Language: English

Related Subjects

32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
99 GENERAL AND MISCELLANEOUS
COMPUTER GRAPHICS
HEAT FLUX
LASER WELDING
OPTIMIZATION
PROCESS CONTROL
S CODES
THERMODYNAMIC PROPERTIES
TWO-DIMENSIONAL CALCULATIONS