کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
806619 905377 2014 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
3D surface form error evaluation using high definition metrology
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
پیش نمایش صفحه اول مقاله
3D surface form error evaluation using high definition metrology
چکیده انگلیسی


• We develop an approach to evaluate 3D surface form error of machined surface.
• High density of data points is converted into a height-encoded gray image.
• Characteristics are calculated using a modified gray level co-occurrence matrix.
• Entropy measures the randomness of surface height distribution.
• Contrast reflects the degree of surface local deviations.

This paper presents an approach to evaluate 3D surface form error of machined surface using high definition metrology that can measure millions of data points representing the entire surface. A data preprocessing method was developed to convert the mass data into a height-encoded and position-maintained gray image. With the converted image, a modified gray level co-occurrence matrix method was adopted to extract 3D surface form error characteristics, including entropy, contrast and correlation. Entropy measures the randomness of surface height distribution. Contrast indicates the degree of surface local deviations. Correlation could be used to identify different machining techniques. These characteristics can be used with flatness together to evaluate 3D surface form error of large complex surface.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Precision Engineering - Volume 38, Issue 1, January 2014, Pages 230–236
نویسندگان
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