... Innovation score = 0.391 – 1.67 marketing + 0.170 design communication 0.090 0.20 Each time phase is divided into three subphases. Table 9 reports the regression analysis results for all subphases. This work provides a study of how bioengineering senior capstone teams navigate the design...

... adjustment (CBR) and with cost adjustment (CBR-A) are compared with analogy-based cost estimation (ABCE) and multivariate linear regression analysis (RA). Under the conditions studied in the illustrative example of this paper (i.e., a single knowledge base, sport utility vehicle (SUV) concepts, and up...

... engineering fuzzy set theory mechanical engineering planning regression analysis cluster validity criterion fuzzy c-regression model clustering fuzzy model identification mechanical system Recently, model identification has been widely used in mechanical system design [( 1 2 3 4 5 6...

... optimisation radial basis function networks regression analysis sampling methods splines (mathematics) vehicle dynamics Vehicle crashworthiness is of great importance today to the automotive industry. A good rating in crashworthiness gives an automaker a strong argument for sales. Therefore...

.... anthropometry regression analysis 07 03 2009 01 12 2009 26 01 2010 2010 American Society of Mechanical Engineers ...

... of variability and conducting designing for human variability (DfHV) assessments is presented. A stochastic component based on the residual variance in regression analysis relating body dimensions to experimental data is included in the predictive model. This ensures that a distribution of preferred...

... function. The suggested algorithm is similar to the SCORING algorithm traditionally used in statistics. design engineering Gaussian distribution regression analysis The Kriging model is a powerful tool that can be used in engineering design optimization to reduce computational burden ( 1 2 3...

... twist behavior, which is the main indicator of deployment failure. This investigation underlines the requirement of actuator control during deployment. actuators aerospace robotics elongation fasteners regression analysis springs (mechanical) telescopes A number of significant...

... 1,88% 2,85% 0,83% r ext 1,74% 7,35% 0,01% 04 04 2007 29 11 2007 21 08 2008 computational geometry design of experiments gears regression analysis wheels This paper focuses in face gear design, and particularly, it presents an application...

... , and the statistical power is 0.97). The multiple regression analysis generated the above equation in order to find the relative contributions of the various components that would maximize the regression coefficient. Another way of interpreting this equation is that design grade percentages can be predicted as: 26...

... for developing a general technique of flank modification for similar types of gears. 13 08 2006 30 12 2006 cutting tools design engineering gear cutting machines gears machinery production industries mechanical contact polynomials power transmission (mechanical) regression analysis...

... with a multiple linear regression analysis. The load and friction coefficient distribution predictions are used to compute instantaneous torque/power losses and the mechanical efficiency of a gear pair at any given rotational position. Efficiency measurements from gear pairs having various gear designs...

... 2004 14 01 2005 vehicles impact (mechanical) response surface methodology regression analysis deformation finite element analysis sampling methods mean square error methods Craig , K. J. , Stander...

... response surface methodology regression analysis splines (mathematics) 07 10 2003 13 08 2004 2005 American Society of Mechanical Engineers ...