ROBUST DESIGN
Robustness refers to creating designs that are insensitive to variability in the inputs. Much of the literature on robustness is dedicated to experimental techniques which advocate using experiments with replications to estimate variation.
This course presents mathematical formulas based on derivatives to determine system variation based on input variation and knowledge of the engineering function. If the function is unknown, experimental techniques are presented to efficiently estimate a function. The concept of designing for both nominal values and variability is expanded to multiple outputs and designing to minimizing costs. Using the approach illustrated in this course, the equations presented can be used to identify the contribution of each of the inputs to the output variation. The variation of the components with the largest contribution can be reduced which will reduce output variation. At the same time, the variation of the components contributing the least to the variation of the output can be increased which will reduce costs. A system of equations can be created that will allow an optimization routine to create a design optimized for total cost including the cost of poor quality and component cost. LEARNING OBJECTIVES By attending this seminar, you will be able to: • Create designs that have a minimal sensitivity to input variation • Reduce design costs • Determine which design parameters have the largest impact on variation • Optimize designs with multiple outputs WHO SHOULD ATTEND Design and manufacturing engineers, researchers and those interested in cost reduction. This methodology can link manufacturing to engineering design and help design engineering solve manufacturing problems. CONTENT HIGHLIGHTS • Basics of Variation • Distributions • Process Capability • Robustness Concept • Simulation • Minimizing the Variance of a Single Output • Identifying Critical Parameters • How to Model and Optimize Multiple Outputs • Adding Cost to the Design Model
I.D.# C1231
SCHEDULE July 15-16, 2019 Troy, Michigan
FEES List:
$1,495 $1,346
Members:
TWO-DAYS/1.3 CEUS
Get the complete course description and register: sae.org/learn/content/c1231/
INSTRUCTOR Bryan Dodson Executive Engineer, SKF
3 ways to get a no-obligation price quote to deliver a course to your company Call SAE Corporate Learning at +1.724.772.8529 | Fill out the online quote request at sae.org/corplearning Email us at Corplearn@sae.org
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