A simulation-based design paradigm for complex cast components

This paper describes and exercises a new design paradigm for cast components. The methodology integrates foundry process simulation, non-destructive evaluation (NDE), stress analysis and damage tolerance simulations into the design process. Foundry process simulation is used to predict an array of porosity-related anomalies. The probability of detection of these anomalies is investigated with a radiographic inspection simulation tool (XRSIM). The likelihood that the predicted array of anomalies will lead to a failure is determined by a fatigue crack growth simulation based on the extended finite element method and therefore does not require meshing nor remeshing as the cracks grow. With this approach, the casting modeling provides initial anomaly information, the stress analysis provides a value for the critical size of an anomaly and the NDE assessment provides a detectability measure. The combination of these tools allows for accept/reject criteria to be determined at the early design stage and enables damage tolerant design philosophies. The methodology is applied to the design of a cast monolithic door used on the Boeing 757 aircraft.

[1]  Dianne Chong Use of Titanium Castings without a Casting Factor , 1992 .

[2]  N. Kikuchi,et al.  Homogenization theory and digital imaging: A basis for studying the mechanics and design principles of bone tissue , 1994, Biotechnology and bioengineering.

[3]  Julie Huang,et al.  Simulation of microporosity formation in modified and unmodified A356 alloy castings , 1998 .

[4]  Joseph N. Gray,et al.  A New Paradigm for the Design of Safety Critical Castings , 1998 .

[5]  James G. Conley,et al.  Computer Simulation of Pore Size and Shape for Equiaxed Aluminum Alloy Castings , 1998 .

[6]  M. L. Huang,et al.  Carbon migration in 5Cr-0.5Mo/21Cr-12Ni dissimilar metal welds , 1998 .

[7]  Ted Belytschko,et al.  Elastic crack growth in finite elements with minimal remeshing , 1999 .

[8]  Mark S. Shephard,et al.  Automated modeling for complex woven mesostructures , 1999 .

[9]  J. Conley,et al.  Modeling the effects of cooling rate, hydrogen content, grain refiner and modifier on microporosity formation in Al A356 alloys , 2000 .

[10]  Ted Belytschko,et al.  Structured extended finite element methods for solids defined by implicit surfaces , 2002 .

[11]  T Belytschko,et al.  Structured Extended Finite Element Methods of Solids Defined by Implicit Surfaces , 2002 .

[12]  Jean-François Remacle,et al.  A computational approach to handle complex microstructure geometries , 2003 .

[13]  Ronald H. W. Hoppe,et al.  Mechanical Failure in Microstructural Heterogeneous Materials , 2006, Numerical Methods and Applications.

[14]  Stéphane Bordas,et al.  Enriched finite elements and level sets for damage tolerance assessment of complex structures , 2006 .

[15]  Stéphane Bordas,et al.  An extended finite element library , 2007 .