... 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 2011 2011 American Society of Mechanical Engineers ...

... 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...

... methods Monte Carlo methods 01 05 2008 13 03 2009 30 04 2009 2009 American Society of Mechanical Engineers ...

... 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...

... processes fracture friction Monte Carlo methods punching reliability sheet metal processing process uncertainties sheet forming blank holder control FEM Deep drawing is a sheet forming operation used to make cup-shaped, box-shaped, or other complex-shaped parts. A properly designed...

... of interference. biomechanics biotechnology bone cracks 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...

... , Cambridge, England. 14 08 2006 28 02 2007 assembling manufacturing systems Monte Carlo methods design engineering Modern manufacturing systems involve multiple operations in multistation processes. Typical examples include automotive body assembly, aerospace...

... , then the standard-error, σ e , estimator is σ e ( ϕ ) = { ( ϕ ) ( 1 − ϕ ) ∕ n } 0.5 The Monte Carlo method was used to simulate the manufacturing variations. The resulting interferences were counted and the failure rate was calculated. Code in Matlab was written...

... 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...

... through Monte Carlo simulations, seen as the response surface experiments. The methodology is benchmarked on example problems from the literature, and the optimum compares superior to published results. design for manufacture optimisation tolerance analysis Monte Carlo methods cost optimal control...

... 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. , 89 , pp. 463 – 483...

... design of tolerances for quality (minimum variation and defective rate). design of experiments tolerance analysis quality control optimisation Monte Carlo methods manufacturing processes 01 Dec 1998 01 May 1999 Contributed by the Manufacturing Engineering Division...