INTRODUCTION TO STATISTICAL TOLERANCE STACKS
Each attendee receives a robust collection of learning resources including: • A copy of Introduction to Statistical Tolerance Stacks workbook, by Alex Krulikowski • Class handouts
Providing you have an understanding of tolerance stacks, this course teaches an introduction to statistical tolerance stacks, a crucial skill in today”s competitive workplace. Utilizing the expertise of world-renowned GD&T expert Alex Krulikowski, the course includes a brief overview of several terms used in statistical stacks. It explains four methods for applying statistics to tolerance stacks and covers precautions about when and how to use statistics in stacks. Newly acquired learning is reinforced throughout the class with stacks that allow the student to practice applying statistical methods. Thousands of students have learned GD&T through Alex Krulikowski”s textbooks, self-study courses, computer-based training, and online learning center. Students who attend courses like this one walk away with more than knowledge. They gain on-the-job skills because the learning materials are performance-based. LEARNING OBJECTIVES By participating in this seminar, you will be able to: • Define the terminology used with statistical tolerance stacks • Describe common statistical tolerance stacks methods • Calculate statistical tolerance stacks using the RSS method • Calculate statistical tolerance stacks using the realistic method • Apply the RPL method to statistical tolerance stacks • Apply the Monte Carlo method to tolerance stacks • Describe precautions needed when using statistical tolerance stacks WHO SHOULD ATTEND This course is valuable for individuals who create or interpret engineering drawings, product and gage designers; process, product, and manufacturing engineers; supplier quality engineers/professionals; CMM operators; buyers/purchasers; checkers; inspectors; technicians; and sales engineers/ professionals.
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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