Application of ICME to Turbine Engine Component Design Optimization

Glavicic, M.G.; Furrer, David; Goetz, R. L.; Matlik, John F.; Rasche, Joseph; Shen, G.; Ress, Robert; Stillinger, Jeffrey

doi:10.2514/6.2011-1738

Cited by 5 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Wherever possible, planning to develop once and reuse multiple times will pay big dividends when scaling up the benefit and may highlight a lower risk project that can be selected as a pilot while providing the foundation for future benefit on higher value components and systems. For example, engagement with design, component structural analysis and lifing, and materials and manufacturing functions internally at Rolls-Royce led to grouping ICME's capability into commodity buckets with similar manufacturing process applicability as highlighted in the tabs of Figures 4 and 5 [2].…”

Section: Scoping the Icme Landscapementioning

confidence: 99%

“…A commercially available software, with the incorporated Ni-alloy thermodynamic database, has demonstrated the ability to predict Figure 12 Isight TM define and control the interaction of numerous design programs [1,2]. Figure 13 Representative micrograph of a γ/γ′-δ eutectic alloy, showing δ-phase plates within a γ/γ′ matrix [8].…”

Section: Materials Designmentioning

confidence: 99%

See 1 more Smart Citation

Integrated computational materials engineering from a gas turbine engine perspective

Bolcavage

Brown

Cedoz

et al. 2014

Integr Mater Manuf Innov

View full text Add to dashboard Cite

In 2008, the National Research Council published a landmark report on Integrated Computational Materials Engineering (ICME) and defined it as 'an emerging discipline that aims to integrate computational materials science tools into a holistic system that can accelerate materials development, transform the engineering design optimization process, & unify design and manufacturing'. ICME is becoming a critical enabler for reducing the design/make cycle time and getting complex systems into production more quickly. There are several reasons why this is the case. Firstly, ICME allows materials experts to develop new material systems and methods of manufacture much more quickly. Advanced new materials and their associated manufacturing processes can be tailored to deliver products that meet design requirements quickly and more effectively in terms of cost and performance. Secondly, ICME enables design processes to quantify cause and affect relationships between manufacturing methods and variability, material properties, product geometry, and design requirement margins. In the design phase, material selection itself can impose consideration of material-specific failure modes that are naturally correlated to important attributes such as strength, weight, and geometry. ICME enables designers to quickly understand the complex and probabilistic interactions between the material, manufacturing processes, manufacturing variability, and design. Thirdly, it has been shown that successful account of variability of the manufacturing processes in life calculations leads to improved accuracy in declared low cycle fatigue crack initiation and damage tolerance lives on life limited gas turbine engine components. Furthermore, ICME enables engineers to rapidly explore more effective design and manufacturing solutions for delivering superior products at lower cost, faster but not without challenges. To highlight challenges and progress toward realization of this transformational technology, a survey of recent examples of materials and manufacturing process simulations along with the overarching approach and requirements within ICME to link these simulation capabilities to design and manufacturing methods will be reviewed from a gas turbine engine perspective.

show abstract

Section: Scoping the Icme Landscapementioning

confidence: 99%

Section: Materials Designmentioning

confidence: 99%

Integrated computational materials engineering from a gas turbine engine perspective

Bolcavage

Brown

Cedoz

et al. 2014

Integr Mater Manuf Innov

View full text Add to dashboard Cite

show abstract

“…Residual stress modeling simulates the heat treatment and machining processes using computer software such as DEFORM TM [6] to predict the resultant residual stress in final components. Such modeling processes are becoming mature enough to correctly predict the residual stress of the final component [7]. Figure 3 shows the difference in absolute value in MPa between the prediction and mean measurement of the hoop stress for a portion of an RR1000 superalloy disk.…”

Section: Experiments and Model Validationmentioning

confidence: 99%

Integration and Automation of Residual Stress and Service Stress Modeling for Superalloy Component Design

Shen¹,

Cooper²,

Ottow³

et al. 2012

Superalloys 2012

Self Cite

View full text Add to dashboard Cite

The residual stress distribution generated during manufacturing processes of a jet engine component plays an important role in determining component life. The heat treatment, machining and pre-service spin variables (if used) contribute to the magnitude and location of residual stresses generated prior to service. Such variables have traditionally not been included in design optimization due to the lack of accurate and efficient process modeling design tools. Increased demand for higher speed and higher temperature disks has necessitated advanced multidisciplinary modeling tools in order to deliver high performance, robust and cost favorable solutions. Component process modeling that considers disk stresses through heat treatment, machining, pre-service spin and design operation has been linked and automated to minimize service stress for locations of interest. This paper uses a superalloy 718 disk as an example to illustrate integration and automation of residual stress and service stress modeling that will ultimately impact component life.

show abstract

“…Such modeling processes are becoming mature enough to correctly predict the residual stress of the final component [7]. Figure 3 shows the difference in absolute value in MPa between the prediction and mean measurement of the hoop stress for a portion of an RR1000 superalloy disk.…”

Section: Experiments and Model Validationmentioning

confidence: 99%

Integration and Automation of Residual Stress and Service Stress Modeling for Superalloy Component Design

Shen¹,

Cooper²,

Ottow³

et al. 2012

Superalloys 2012 (Twelfth International Symposium)

View full text Add to dashboard Cite

show abstract

Application of ICME to Turbine Engine Component Design Optimization

Cited by 5 publications

References 0 publications

Integrated computational materials engineering from a gas turbine engine perspective

Integrated computational materials engineering from a gas turbine engine perspective

Integration and Automation of Residual Stress and Service Stress Modeling for Superalloy Component Design

Integration and Automation of Residual Stress and Service Stress Modeling for Superalloy Component Design

Contact Info

Product

Resources

About