SKU: 85593681027

2-1/2" One-Piece Split Clamp-Type Shaft Collar, Aluminum

Sale price$61.74 Regular price$68.60
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Description

2-1/2" One-Piece Split Clamp-Type Shaft Collar, Aluminum" Smooth bore protects shafts from damage Superior holding power over set screw type collars Offered in High Strength, Low Profile and Heavy Duty styles Stocked in a variety of materials 1 Piece Clamp Type Shaft Collars are for use on standard round shafts, hard or soft, as well as on thin wall tube or over a split hub. Precision machined, non marring, easy to adjust, with high clamping power, they are stocked in the following materials: Steel

"
 
 
  • Smooth bore protects shafts from damage
  • Superior holding power over set-screw type collars
  • Offered in High Strength, Low Profile and Heavy Duty styles
  • Stocked in a variety of materials
1-Piece Clamp-Type Shaft Collars are for use on standard round shafts, hard or soft, as well as on thin wall tube or over a split hub. Precision machined, non-marring, easy to adjust, with high clamping power, they are stocked in the following materials:
  • Steel
  • Stainless Steel
  • Aluminum
  • Nylon
  • Delrin
Offered in three styles:
  • High Strength: Clamp screw does not protrude beyond the outside diameter (OD)
  • Low Profile: Clamp screw protrudes beyond the OD
  • Heavy Duty: Uses larger clamp screw and has larger OD for 2X holding power
Standard Series offers economy-priced versions of low-profile styles (31LXXX and 31SXXX parts).

Specifications

Part Number  

7A208

Series

Signature

Material

Aluminum

Alloy

2024-T351

Finish

Shiny

Type

Low Profile

Approximate Weight

0.54 lb

Country of Origin

USA

UPC Code

662786003981

RoHS2 Compliant

Yes

REACH Compliant

Yes

Dimensional Attributes

Bore Size

2-1/2 in

Outside Diameter

3.750 in

Width

0.875 in

Recessed Screw

No

Screw Size

3/8-24 x 1

Screw Material

Alloy Steel
 
 
"
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SKU: 85593681027

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Tans
Bozeman, US
★★★★★ 4
Really good content on Rag and Agents
Format: Paperback
The book is a plethora of AI implementations put together this covers everything required for an Ai engineer, llm developer and enterprise user to understand the terms are simple and implementation is even better, you should definitely check it out
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Reviewed in the United States on July 29, 2025
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RAKESH MITTAL
Louisville, US
★★★★★ 5
Good coverage of the subject.
Format: Paperback
Good.
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Reviewed in the United States on September 19, 2025
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Ting
Charlottesville, US
★★★★★ 1
Not worth your time!
Format: Paperback
The abstration level of the knowledge presented in this book is mixed and poorly organized, for example, it could leap from high level suddenly into the details of import packages and codes. This book tries to cover a loooot but achieves so little in any specific topic. Sometimes the high level logic is not even consistent, sometimes the low level details contain errors. There are nonsensical sentences, poorly formatted equations, figures should be printed in color to understand but are in black and white. While I may doubt myself of not being able to delve in at the beginning, gradually it is pretty clear that it is the poor quality of this book that drags me and makes me want to finish reading as soon as possible. I cannot believe this quality of writing was generated with the help of AI. This is an evidence that human can write much poorly than AI. All the figures from the cited papers are of poor resolution and quality. I have submitted more than 15 erratas to the publisher. These just cover the obvious mistakes or errors, and cannot cover the poor organization and logic of the book. It's such a waste of my money and time!
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Reviewed in the United States on May 28, 2026
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Sai
Waukegan, US
★★★★★ 2
Pages were torn
Format: Paperback, Format: Paperback
Pages were sent torn
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Reviewed in the United States on January 20, 2026
K
Kirk D. Borne
Phoenix, US
★★★★★ 5
Conquer AI Agent complexity with this comprehensive guidebook
Format: Kindle
This book delivers incredibly comprehensive coverage of AI Agents and their various components -- designing, creating, building, deploying with LLMs, RAG, Knowledge Graphs, and ML models (Deep Learning, Reinforcement Learning). And more! Disclosure: the publisher provided me with a free review copy of the book.
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Reviewed in the United States on October 24, 2025

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