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2. Filtering Surface Texture for Roughness, Waviness & Form

Module 2 of the Surface Texture and Tribology Short Course
5.0
5.0/5
(3 reviews)
18 students
Created by

9.2

CourseMarks Score®

9.4

Freshness

10.0

Feedback

7.6

Content

Platform: Udemy
Video: 1h 23m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

9.2 / 10

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Freshness Score

9.4 / 10
This course was last updated on 10/2021.

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Student Feedback

10.0 / 10
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Content Score

7.6 / 10
Video Score: 7.8 / 10
The course includes 1h 23m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 3 hours 21 minutes of 306 Physics courses on Udemy.
Detail Score: 9.4 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

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0 article.
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Table of contents

Description

Surface finish affects how well parts will perform in a vast range of applications, from engines to footwear to faucets. Many in industry tend to think of surface texture as a number—some target value to be achieved. But the reality is much more interesting and complex.
In the Surface Texture and Tribology Short Course we introduce the important concepts of surface texture measurement and analysis. The full course is available on udemy, or you can select the individual course modules of interest to you. Enter “surface roughness texture tribology” in the udemy search bar to browse the full course and modules.

In this module we introduce the concept of “filtering” which is central to surface texture analysis. Filtering means specifying the spatial wavelengths (ranging from short-wavelength roughness through longer-wavelength waviness and form) to analyze in a particular application. Misunderstandings regarding filtering have led to many quality and warranty issues.
We will show an example of surface texture analysis software and will show how the concepts of filtering are put into practice in a real-world example. We also discuss strategies for addressing specifications that do not properly call out the spatial wavelength details that are required by surface texture standards.
We wrap up this module by looking at an overview of how surface texture is specified on drawings, following the two primary standards that govern surface texture specification: ASME Y14.36-1996 and ISO 1302-2000.
The remaining modules of the Surface Texture and Tribology course build upon the fundamentals in this module, so it is recommended as a starting point. We also encourage you to consider the other modules for a more in-depth understanding of surface texture.

You will learn

✓ Filtering surface texture data to measure roughness, waviness and form for a given application
✓ Cutoff wavelengths/cutoff frequencies, what they are and how to set them
✓ What to do if cutoff wavelengths/cutoff frequencies are not specified
✓ How surface texture is specified on drawings per ISO 1302 and ASME 14.36 standards

Requirements

• No prerequisites. This module is Part 2 of the Surface Texture and Tribology Short Course, so we encourage you to review Module 1 (Introduction and Instruments) and Module 3 (parameters), also available on udemy

This course is for

• Scientists, engineers, technicians and students in the fields of automotive, medical device, aerospace, materials, polymers, and others

How much does the 2. Filtering Surface Texture for Roughness, Waviness & Form course cost? Is it worth it?

The course costs $29.99.
The average price is $13.4 of 306 Physics courses. So this course is 124% more expensive than the average Physics course on Udemy.

Does the 2. Filtering Surface Texture for Roughness, Waviness & Form course have a money back guarantee or refund policy?

YES, 2. Filtering Surface Texture for Roughness, Waviness & Form has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

At the moment we could not find an available scholarship for 2. Filtering Surface Texture for Roughness, Waviness & Form.

Who is the instructor? Is Donald Cohen a SCAM or a TRUSTED instructor?

Donald Cohen has created 11 courses that got 41 reviews which are generally positive. Donald Cohen has taught 663 students and received a 4.8 average review out of 41 reviews. Depending on the information available, Donald Cohen is a TRUSTED instructor.
Surface Metrology/Tribology
In 1994, Dr. Cohen established Michigan Metrology to help engineers and scientists solve problems related to “Squeaks, leaks, friction, wear, appearance, adhesion and other issues,” using 3D Surface MicroTexture Measurement and Analysis.
Dr. Cohen is a past Chairman of the STLE-Detroit section and has been active with the ASME B46.1 committee on surface texture since 1988, having served as Chair from 2005-2011. Dr. Cohen is also a Subject Matter Expert for the ISO surface metrology activities.
Dr. Cohen has an undergraduate degree in Physics from the University of Michigan, Dearborn, and graduate degrees in Physics and Optical Sciences from the University of Arizona. Early in his career, Dr. Cohen worked with IBM on optical disk drive development. He later joined WYKO Corporation as Product Manger and later became Vice President, leading the development of 3D surface texture metrology instrumentation.
Dr. Cohen has developed this class over the past 20 years having presented the material at numerous client locations as part of his training and consulting activities. Typically once a year the class is offered to a general audience in the Livonia, MI area.

9.2

CourseMarks Score®

9.4

Freshness

10.0

Feedback

7.6

Content

Platform: Udemy
Video: 1h 23m
Language: English
Next start: On Demand

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