Browsing by Author "Sutcliffe, Michael P. F."

Browsing by Author "Sutcliffe, Michael P. F."

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  • Monroy, Aceves C.; Skordos, Alexandros A.; Sutcliffe, Michael P. F. (Elsevier Science B.V., Amsterdam., 2008-01-01)
    This paper presents a methodology to help designers select a shortlist or optimum design of composite structure from a large number of alternatives, taking into account conflicting design objectives or constraints (e.g. ...
  • Skordos, Alexandros A.; Monroy, Aceves C.; Sutcliffe, Michael P. F. (2005-07-01)
    This paper addresses the optimisation of forming in manufacturing of composites. A simplified finite element model of draping is developed and implemented. The model incorporates the non-linear shear response of textiles ...
  • Skordos, Alexandros A.; Sutcliffe, Michael P. F.; Klintworth, J. W.; Adolfsson, P. (2006-03-01)
    This paper presents a draping optimisation scheme based on the integration of a commercial kinematic drape simulation code and a genetic algorithm. The kinematic model allows a fast solution to the drape model which ...
  • Long, Andrew; Skordos, Alexandros A.; Harrison, Phil; Clifford, Mike; Sutcliffe, Michael P. F. (2006-03-01)
    This paper addresses optimisation of the sheet forming process for textile composites. A woven carbon/epoxy prepreg helicopter pilot helmet is used to demonstrate both experimental and numerical studies. A novel ...
  • Skordos, Alexandros A.; Monroy, Aceves C.; Sutcliffe, Michael P. F. (Elsevier Science B.V., Amsterdam., 2007-05-01)
    A simplified finite element model is developed and validated for the forming/ draping of pre-impregnated woven composites, incorporating the effects of wrinkling and strain rate dependence. The model development builds ...
  • Skordos, Alexandros A.; Sutcliffe, Michael P. F. (Elsevier Science B.V., Amsterdam., 2008-01-01)
    A stochastic forming simulation procedure is developed and implemented to investigate the effect of geometric variability in pre-impregnated woven textiles on manufacturing. Image analysis is used to characterise variability ...