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Remembering Charles E. Till
Charles E. Till
Charles E. Till, an ANS member since 1963 and Fellow since 1987, passed away on March 22 at the age of 89. He earned bachelor’s and master’s degrees from the University of Saskatchewan and a Ph.D. in nuclear engineering from Imperial College, University of London. Till initially worked for the Civilian Atomic Power Department of the Canadian General Electric Company, where he was the physicist in charge of the startup of the first prototype CANDU reactor in Canada.
Till joined Argonne National Laboratory in 1963 in the Applied Physics Division, where he worked as an experimentalist in the Fast Critical Experiments program. He then moved to additional positions of increasing responsibility, becoming division director in 1973. Under his leadership, the Applied Physics Division established itself as one of the elite reactor physics organizations in the world. Both the experimental (critical experiments and nuclear data measurements) and nuclear analysis methods work were internationally recognized. Till led Argonne’s participation in the International Nuclear Fuel Cycle Evaluation (INFCE), and he was the lead U.S. delegate to INFCE Working Group 5, Fast Breeders.
Taek Kyum Kim, Chang Hyo Kim
Nuclear Science and Engineering | Volume 127 | Number 3 | November 1997 | Pages 346-357
Technical Paper | doi.org/10.13182/NSE97-A1940
Articles are hosted by Taylor and Francis Online.
A new optimization method is presented for determining the optimized pressurized water reactor (PWR) fuel-loading pattern in the maximization principle of the end-of-cycle (EOC) core reactivity. The new method utilizes the point reactivity model in deriving the objective function corresponding to the EOC core reactivity as a linear function of the fuel-loading binary variables. It also uses a mixed integer programming algorithm consisting of the branch and bound method and dual linear programming algorithm in order to maximize the EOC core reactivity. The utility of the new optimization method is discussed in terms of numerical examples for the fuel-loading-pattern optimization of the cycle 4 core of the Yonggwang unit 2 PWR plant.