Recent Progress in Implementation of ICME for Metallic Materials in the Airframe Industry

Integrated Computational Materials Engineering (ICME) can be applied to multiple problems in materials development within the airframe industry, but most deal with how to reduce the time from discovery to implementation. For a structural material to be considered for application on a new program, preliminary design properties must be made available. Of these, fatigue, fracture and corrosion testing require the most cost and effort, and hence, development of ICME technques to estimate values for related properties, whether from constitutive microstructural relationships, simple tensile data, or from continuum mechanics, remains a high priority. The present paper reviews progress since our 2012 AIAA paper reviewing metallic material ICME efforts, with a focus upon estimating durability and damage tolerance properties at an earlier point in the materials development cycle. Additional thoughts on progress and gaps in ICME for the aerospace business are also addressed.

[1]  Gregory B Olson,et al.  Genomic materials design: The ferrous frontier , 2013 .

[2]  Surya R. Kalidindi,et al.  Microstructure informatics using higher-order statistics and efficient data-mining protocols , 2011 .

[3]  G. B. Olson,et al.  Computational Design of Hierarchically Structured Materials , 1997 .

[4]  Ying Yang,et al.  PANDAT software with PanEngine, PanOptimizer and PanPrecipitation for multi-component phase diagram calculation and materials property simulation , 2009 .

[5]  Zi-kui Liu,et al.  The development of phase-based property data using the CALPHAD method and infrastructure needs , 2014, Integrating Materials and Manufacturing Innovation.

[6]  Brian Smith,et al.  The Boeing 777 , 2003 .

[7]  Kumar V. Jata,et al.  Effects of pitting corrosion on the fatigue behavior of aluminum alloy 7075-T6: modeling and experimental studies , 2001 .

[8]  Z. Guo,et al.  Material properties for process simulation , 2009 .

[9]  Nishant Kumar,et al.  Microstructure and Mechanical Behavior of Friction Stir Processed Ultrafine Grained Al-Mg-Sc Alloy , 2011 .

[10]  McLean P. Echlin,et al.  Three-dimensional sampling of material structure for property modeling and design , 2014, Integrating Materials and Manufacturing Innovation.

[11]  S. Manson Fatigue: A complex subject—Some simple approximations , 1965 .

[12]  James D. Cotton,et al.  What Boeing Wants from Integrated Computational Materials Engineering for Metallic Materials , 2012 .

[13]  M. G. Glavicic,et al.  Integrated Computational Materials Engineering of Titanium: Current Capabilities Being Developed Under the Metals Affordability Initiative , 2014, JOM.

[14]  N. Saunders,et al.  Using JMatPro to model materials properties and behavior , 2003 .

[15]  Peter C. Collins,et al.  Neural Networks Relating Alloy Composition, Microstructure, and Tensile Properties of α/β-Processed TIMETAL 6-4 , 2013, Metallurgical and Materials Transactions A.