... optimization assembly of axisymmetric components variation propagation assembling bending electric machines joining processes Monte Carlo methods normal distribution optimisation random processes rotors shear modulus vibrations 19 08 2010 28 04 2011 15 06 2011 15 06...

... to all feasible configurations. For this reason, a hybrid search method is developed to ensure a global search over the MRRs’ workspace for each feasible configuration. By combining a genetic algorithm method with a Monte Carlo method, this method includes three levels of search, namely, pose, workspace...

... database. Then a separate interval adaptive response surface methodology (RSM) is applied in modeling sheet metal stamping. The new method significantly improves the model accuracy when compared with the conventional RSM within a single interval. Finally, the Monte Carlo method is employed to simulate...

... are described. 01 05 2008 13 03 2009 30 04 2009 assembling gradient methods Monte Carlo methods An assembly has multiple design measures that must fall in specified ranges (one sided or two sided) in order for the assembly to be functional. The design measures are functions...

... using the method of moments instead of the Monte Carlo method. Several case studies are presented to exemplify the proposed algorithms, with comparisons to prior literature results on linear and quadratic analyses. The criterion for using the proposed quadratic variation analysis versus the linear...

.... 08 12 2005 14 03 2008 08 07 2008 aluminium blanking deep drawing design engineering dies (machine tools) ductility failure analysis finite element analysis forming processes fracture friction Monte Carlo methods punching reliability sheet metal processing...

... drying finite element analysis fitting (assembly) Monte Carlo methods prosthetics Assemblies of human (cadaveric) cortical and cancellous bone, or allografts, are used as implants in cervical spinal fusion surgeries where two vertebrae are joined in order to replace damaged tissue...

... industrial software. It provides the basis for variation control through tolerance design analysis, synthesis, and diagnosis in manufacturing systems. 14 08 2006 28 02 2007 assembling manufacturing systems Monte Carlo methods design engineering Modern manufacturing systems...

... , Applied Statistics and Probability for Engineers , 3rd ed. , Wiley , New York. 07 06 2004 14 03 2005 alternators Monte Carlo methods production engineering computing tolerance analysis failure analysis design production equipment Interference between moving...

... Monte Carlo methods permeability environmental factors instruments fibre reinforced composites viscosity pressure injection moulding flow measurement Liquid composite molding (LCM), which includes resin transfer molding (RTM), vacuum assisted RTM (VARTM), reaction injection molding...

... on Design Theory and Methodology ASME, Design Engineering Division, Vol. 68, pp. 29–42. design for manufacture optimisation tolerance analysis Monte Carlo methods cost optimal control Assignment of allowable variations/deviations from specified dimensions are necessary to obtain...

... Modeling for Characterization of Geometric Errors of Automotive SpaceFrames Extrusions ,” ASME J. Manuf. Sci. Eng. , 120 , No. 3, August , pp. 523 – 531 . Decker , K. M. , 1991 , “ The Monte Carlo Method in Science and Engineering: Theory and Application ,” Comput. Methods Appl. Mech. Eng...

.... Associate Technical Editor: E. C. DeMeter. 01 Dec 1998 01 May 1999 design of experiments tolerance analysis quality control optimisation Monte Carlo methods manufacturing processes Design of tolerances impacts the quality, cost, and cycle time of a product. Taguchi methods...