3/8"-16 x 5/8" Hex Head Cap Screw, Coarse, Full Thread, Grade 5 Medium Carbon Steel, Zinc-Yellow CR+6 Finish

Fasteners The MROSupply Fasteners 3/8"-16 x 5/8" Hex Head Cap Screw is an essential component for various maintenance, repair, and operational (MRO) applications. This high-quality fastener is designed for reliable performance, providing a strong and durable solution for securing machinery and components in multiple industrial settings.

Key Features

• Size and Thread: 3/8"-16 diameter with a length of 5/8", featuring a coarse thread design for easy installation and secure fastening.
• Material: Constructed from Grade 5 medium carbon steel, ensuring superior strength and durability under load.
• Finish: Zinc-yellow CR+6 finish provides excellent corrosion resistance, extending the lifespan of the fastener in challenging environments.
• Thread Type: Full thread design increases the grip along the entire length of the screw, enhancing fastening efficiency.
• Industry Standards: Manufactured to meet rigorous industry standards for quality and performance, ensuring reliability in critical applications.

Applications

• Industrial Machinery: Ideal for securing components in various types of machinery, ensuring operational reliability.
• Construction: Perfect for use in construction and assembly projects where strong, durable fastening solutions are required.
• Automotive: Suitable for automotive applications, particularly in vehicle assembly and repair.
• Compatibility: Works seamlessly with other MROSupply fasteners and components, making it an excellent addition to your maintenance toolkit.

Benefits

• Enhanced Strength: The Grade 5 medium carbon steel construction provides a high tensile strength, making it suitable for demanding applications.
• Corrosion Resistance: The zinc-yellow CR+6 finish protects against rust and corrosion, ensuring long-term durability in harsh conditions.
• Ease of Use: Designed for quick installation, reducing downtime during maintenance and repair operations. --- Product information compiled with AI assistance for reference purposes.