@Article{hmt.13.13,
AUTHOR = {Xiaolei Deng, Jin Wang
, Hongcheng Shen, Jinyu Zhou, Jianchen Wang, Changxiong Xie, Jianzhong Fu},
TITLE = {THERMAL TOPOLOGY OPTIMIZATION DESIGN OF SPINDLE  STRUCTURE WITH A HYBRID CELLULAR AUTOMATON METHOD},
JOURNAL = {Frontiers in Heat and Mass Transfer},
VOLUME = {13},
YEAR = {2019},
NUMBER = {1},
PAGES = {1--6},
URL = {http://www.techscience.com/fhmt/v13n1/53147},
ISSN = {2151-8629},
ABSTRACT = {A hybrid cellular automaton model combined with a finite element method for thermal topology optimization of spindle structure is developed. The 
higher order 8-node element and von Neumann strategy are employed for the finite element and the cellular element, respectively. The local 
sensitivity filtering algorithm and the weight approach are applied. The four validating studies of two-dimensional structure for thermal topology 
optimization are carried out. The structure evolution and thermal distribution evolution of thermal topology optimization are investigated. The results 
show the developed hybrid method is more efficient for thermal topology optimization. Meanwhile, the thermal topology optimization for spindle 
structure can save structural volume under the same condition.},
DOI = {10.5098/hmt.13.13}
}