SKU: 70750614308

1-1/4 x 1 316 Stainless Steel Reducing Coupling

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Description

1-1/4 x 1 316 Stainless Steel Reducing CouplingThe 1 1 4" x 1" 316 Stainless Steel Reducing Coupling is a reliable pipe fitting designed to connect pipes of different sizes, reducing from 1 1 4" to 1". Made from 316 stainless steel, it provides outstanding corrosion resistance, making it suitable for demanding applications in chemical processing, marine systems, and food industries. This reducing coupling ensures a secure, leak free connection, offering durability and performance in systems

The 1-1/4" x 1" 316 Stainless Steel Reducing Coupling is a reliable pipe fitting designed to connect pipes of different sizes, reducing from 1-1/4" to 1". Made from 316 stainless steel, it provides outstanding corrosion resistance, making it suitable for demanding applications in chemical processing, marine systems, and food industries. This reducing coupling ensures a secure, leak-free connection, offering durability and performance in systems requiring strength, corrosion resistance, and size transitions.

Specification Value
TYPE 316 Stainless Steel Reducing Coupling
DESIGN Reducing designed  to connect pipes of different sizes and ensuring a smooth transition between them.
MATERIAL Stainless Steel for its superior corrosion resistance and durability
MATERIAL CONSTRUCTION 316 Stainless Steel
WEIGHT LBS  0.520
CONNECTION SIZE 1 1-1/4"
CONNECTION SIZE 2  1"
CONNECTION TYPE  FPT|FPT
CONNECTION TYPE 1 FPT
CONNECTION TYPE 2 FPT
FITTING TYPE Coupling
FOR USE WITH Air, Water, Oil, Natural Gas, Steam
PRESSURE CLASS 150 lb
THREAD SIZE 1-1/4-11-1/2 x 1-11-1/2
BOX        
10
APPROXWT LBS         0.35
APPLICATIONS  Ideal for Plumbing & HVAC, Industrial & Manufacturing, Chemical Processing, Oil & Gas Systems,Marine & Offshore
BRAND Midland Industries
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SKU: 70750614308

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Tans
Whiting, 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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Verified Purchase
RAKESH MITTAL
Chelsea, US
★★★★★ 5
Good coverage of the subject.
Format: Paperback
Good.
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Reviewed in the United States on September 19, 2025
T
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Ting
New York, 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
Natrona Heights, 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
Grantham, 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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