ST 750 Marine Air Starter

Price 150000.0 INR/ Piece

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MOQ : 100 Units

ST 750 Marine Air Starter Specification

Material
High-Grade Alloy Steel & Aluminum

Automatic Grade
Automatic

Weight (kg)
15 25 kg Kilograms (kg)

Dimension (L*W*H)
300 x 220 x 250 mm Millimeter (mm)

Feature
High Performance, Lower Energy Consumption, High Efficiency

Warranty
Yes

Power Source

Surface Finishing
Polished

ST 750 Marine Air Starter Trade Information

Minimum Order Quantity
100 Units

Payment Terms
Cash in Advance (CID)

Supply Ability
500 Units Per Month

Delivery Time
10 Days

Main Export Market(s)
Asia, Australia, Central America, North America, South America, Eastern Europe, Western Europe, Middle East, Africa

Main Domestic Market
All India

About ST 750 Marine Air Starter

Marine Air Starter

"Marine air starter AI text" refers to information about pneumatic starters for large ship engines, with "AI" likely being a typo or specific model code (like Ingersoll Rand's ST series), though AI (Artificial Intelligence) is now being integrated into marine systems for predictive maintenance and efficiency, enhancing reliability of these air-powered start systems that use high-pressure air to turn engines over, especially in emergencies.

Key Aspects of Marine Air Starters:

Function: Use compressed air (often 15 bar) to provide high torque to rotate massive diesel engines for starting, crucial for reliability.
Technology: Typically use pneumatic motors (like Gali or TDI) with rotors and gears, designed to be robust for harsh marine environments.
Manufacturers: Key players include Ingersoll Rand, Gali, TDI, and others, with suppliers like Hindustan Marine offering various models like ST series (ST350, ST455).
AI Integration (Emerging): AI is being used to monitor, control, and predict maintenance needs in these systems, improving efficiency and safety.

Interpreting "AI":

Typo/Model: Most likely a typo for model numbers (e.g., ST455C01R77) or part of product codes (like ST series).
Artificial Intelligence: Less common but represents advanced applications for monitoring, optimization, and predictive failure in air starting systems.

In essence, the text likely covers the operation, models, and suppliers of robust air starters, with a possible nod to modern AI enhancements for performance.

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