ENGINEERING TOOLS & METHODS
• Judge if a “duplicated” part will meet the design functionality of the OEM part • Evaluate the feasibility of a reverse engineering proposal/project • Describe and implement a process to duplicate/reproduce a part by reverse engineering Who Should Attend This seminar is designed to assist individuals in various industries including, but not limited to, automotive, aerospace, off-highway, motorsports and parts brokerage firms. Corporate senior execu- tives, engineering managers, engineers, technicians, government inspectors, sales managers, salespersons, lawyers and legal counselors will find the course relevant and informative. Prerequisites Participants should have an undergraduate degree or equivalent experience/knowledge.
−− Safety and damage tolerance • Acceptance and Legality −− Evolving industry trends −− Moral and legal issues −− Examples - legal precedents
Instructor: Fee: $1415
Wego Wang
1.3 CEUs
URL:
sae.org/learn/content/c0559/
Robust Design 2 Days | Classroom Seminar I.D.# C1231
Engineers are taught to create designs that meet customer specifications. When creating these designs, the focus is usually on the nominal values rather than variation. Robustness refers to creating designs that are insensitive to variability in the inputs. Much of the literature on robustness is dedicated to experimental techniques, particularly Taguchi 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. Traditionally, if the output variation is too large to meet require- ments, the tolerances (variation) of the inputs are reduced. Using the approach presented 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. The book, “Probabilistic Design for Optimization and Robustness for Engineers” by Bryan Dodson, Patrick Hammett, & Rene Klerx is included in the course materials. 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 Participants should bring a laptop computer for in-class exercises.
Topical Outline DAY ONE • Introduction
−− Historical background −− Reverse engineering vs. machine design −− Three basic requirements: form, fit and function • Geometrical Form −− Dimensional measurement −− Precision instruments of measurement −− Tolerance −− Virtual exercise of geometrical modeling • Material and Process Identification −− Chemical composition identification −− Manufacturing process verification −− Materials specification substantiation −− Machining process identification • Data Process and Analysis −− Statistical analysis −− Statistical exercise −− Case study of statistical confidence −− Reliability DAY TWO • Demonstration and Exercise −− Demonstration of scanning −− Hands-on exercise of reverse engineering −− Case study • Regulations and Certifications −− Government regulations −− Industrial standards −− Certification requirements • Fit and Function
−− System compatibility −− Critical performance −− Vendor substantiation
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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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