Introduction to N.C.M., a Non Contact Measurement Tool

Nonfiction, Reference & Language, Reference, Education & Teaching
Cover of the book Introduction to N.C.M., a Non Contact Measurement Tool by Dennis R. Branch, Trafford Publishing
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Author: Dennis R. Branch ISBN: 9781466957381
Publisher: Trafford Publishing Publication: December 22, 2005
Imprint: Trafford Publishing Language: English
Author: Dennis R. Branch
ISBN: 9781466957381
Publisher: Trafford Publishing
Publication: December 22, 2005
Imprint: Trafford Publishing
Language: English

This book is designed for the quality professional and student. It explains what a non contact measurement tool is, what it does, how it takes a measurement, why it would be used, how to utilize the data, what the benefit of using it is, how the measurement is made within a coordinate measurement grid and compares it to other coordinate measurement tools. With examples and visual aids throughout, under standing what is read is simplified.

Examples include algorithms, measurement data, comparing measurements, root causing dimensional problems based on the data, data comparisons to other measurement tools, and correlation to other measurement tools.

With a better understanding of the source of the data and how is it derived, the quality professional will have an improved ability to be proactive in preventing a quality issue from becoming another scrap part.


View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book is designed for the quality professional and student. It explains what a non contact measurement tool is, what it does, how it takes a measurement, why it would be used, how to utilize the data, what the benefit of using it is, how the measurement is made within a coordinate measurement grid and compares it to other coordinate measurement tools. With examples and visual aids throughout, under standing what is read is simplified.

Examples include algorithms, measurement data, comparing measurements, root causing dimensional problems based on the data, data comparisons to other measurement tools, and correlation to other measurement tools.

With a better understanding of the source of the data and how is it derived, the quality professional will have an improved ability to be proactive in preventing a quality issue from becoming another scrap part.


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