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Description
6” Aluminum Oxide (400g) - Paper PSA Sanding Abrasive Disc w/ TabThe 6" Aluminum Oxide (400g) Paper Pressure Sensitive Adhesive (PSA) Sanding Abrasive Disc with Tab is ideal for use on mild steel and aluminum. ARC Abrasives' PSA Discs support a wide range of grinding and finishing applications. Available in various sizes, materials, and backings, they are compatible with orbital sanders and back stand grinders. Attachment options include pressure sensitive adhesive, hook and loop, and plain. Features & Benefits:
The 6" Aluminum Oxide (400g) - Paper Pressure Sensitive Adhesive (PSA) Sanding Abrasive Disc with Tab is ideal for use on mild steel and aluminum. ARC Abrasives' PSA Discs support a wide range of grinding and finishing applications. Available in various sizes, materials, and backings, they are compatible with orbital sanders and back stand grinders. Attachment options include pressure-sensitive adhesive, hook and loop, and plain.
Features & Benefits:
- Versatile Grain: Suitable for use on all metals, making it a reliable choice for various grinding and sanding applications.
- Pressure Sensitive Adhesive: Ensures secure attachment to pads or platens, while allowing for easy removal without leaving glue residue.
- Easy Removal: Designed to be removed effortlessly, maintaining a clean work area and reducing cleanup time.
- Cloth Backing: Provides added strength and durability, extending the life of the disc and enhancing performance.
ARC Abrasives' PSA Discs offer a reliable and versatile solution for grinding and sanding, delivering the performance and ease of use required for both heavy-duty and precision applications.
| SPECIFICATIONS | DETAILS |
|---|---|
| PRODUCT TYPE | PSA Disc w/ Tab |
| ITEM WEIGHT (LBS) | 0.0207 |
| TOTAL WEIGHT PER PACK (LBS) | 2.07 |
| SURFACE TYPES | Aluminum, Mild Steel, Non-Ferrous |
| APPLICATIONS | Blending, Finishing, Stock Removal, Stripping, Surface Preparation |
| BACKING WEIGHT | B-Weight Paper |
| FREIGHT CLASS FOR BOL | ABRASIVE PRODUCT |
| STRUCTURE | Paper |
| MINERAL | Aluminum Oxide |
| NMFC NUMBER FOR BOL | ABRASIVE CLOTH OR PAPER INCLUDING EMERY OR SANDPAPER |
| PRODUCT LINE | None |
| DIAMETER | 6" |
| GRIT | 400 |
| ATTACHMENT | PSA |
| STANDARD PACK QUANTITY | 100.00 |
| BRAND | ARC Abrasives Inc |
| MANUFACTURER | ARC Abrasives Inc |
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4.6 ★★★★★
Based on 24 reviews
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Product Reviews
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
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Reviewed in the United States on October 23, 2024
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning.
The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021