국내 최대 기계 및 로봇 연구정보

기술보고서

기술보고서 게시판 내용
타이틀	Microstructure Modeling of Third Generation Disk Alloys
저자	Jou, Herng-Jeng
Keyword	CARBIDES;; EXPOSURE;; GAS TURBINE ENGINES;; HEAT RESISTANT ALLOYS;; HEAT TREATMENT;; ISOTHERMAL PROCESSES;; MATHEMATICAL MODELS;; MICROSTRUCTURE;; SIMULATION
URL	http://hdl.handle.net/2060/20100026665
보고서번호	NASA/CR-2010-216748
발행년도	2010
출처	NTRS (NASA Technical Report Server)
ABSTRACT	The objective of this program was to model, validate, and predict the precipitation microstructure evolution, using PrecipiCalc (QuesTek Innovations LLC) software, for 3rd generation Ni-based gas turbine disc superalloys during processing and service, with a set of logical and consistent experiments and characterizations. Furthermore, within this program, the originally research-oriented microstructure simulation tool was to be further improved and implemented to be a useful and user-friendly engineering tool. In this report, the key accomplishments achieved during the third year 񢉙) of the program are summarized. The activities of this year included: Further development of multistep precipitation simulation framework for gamma prime microstructure evolution during heat treatment;; Calibration and validation of gamma prime microstructure modeling with supersolvus heat treated LSHR;; Modeling of the microstructure evolution of the minor phases, particularly carbides, during isothermal aging, representing the long term microstructure stability during thermal exposure;; and the implementation of software tools. During the research and development efforts to extend the precipitation microstructure modeling and prediction capability in this 3-year program, we identified a hurdle, related to slow gamma prime coarsening rate, with no satisfactory scientific explanation currently available. It is desirable to raise this issue to the Ni-based superalloys research community, with hope that in future there will be a mechanistic understanding and physics-based treatment to overcome the hurdle. In the mean time, an empirical correction factor was developed in this modeling effort to capture the experimental observations.