SHOMEA Stainless Steel Knurled Cylindrical Positioning Sleeve with Internal Thread

316L/304 stainless steel with excellent corrosion resistance, high temperature tolerance, and biocompatibility

Precision Swiss-type CNC machining ensures micron-level accuracy

Ergonomic knurling design with optimized angle increases friction without sharp edges

Internal thread design enables quick engagement with bolts/screws

Outer diameter and internal thread surfaces undergo precision polishing

FAQs:

Q: Is the stainless steel material suitable for medical/food contact scenarios?

A: Yes, we use 316L/304 stainless steel, which complies with FDA, USP Class VI, and ISO 10993 standards, offering excellent biocompatibility and corrosion resistance for safe use in medical implants, food machinery, and other harsh environments.

Q: What thread specifications are available? Can customization be supported?

A: Standard thread specifications cover M3~M12 (metric) and #6~#24 (imperial). Non-standard threads (e.g., trapezoidal, fine-pitch threads) can also be customized per customer requirements.

Q: Is the friction of the knurling design sufficient? Will it damage the operator’s hands?

A: The knurling texture is optimized with a scientific angle, increasing friction by ~30% compared to plain surfaces. Edges are chamfered to avoid sharp corners, ensuring labor-saving and hand-friendly manual operation.

Q: What is the precision grade of the product? Can it meet precision assembly requirements?

A: CNC Swiss-type machining accuracy can reach ±0.01mm (depending on size), with geometric tolerances (e.g., cylindricity, perpendicularity) controlled within ±0.005mm, fully meeting the assembly needs of precision instruments and automation equipment.

Q: What is the minimum order quantity (MOQ)? How long is the delivery cycle?

A: The MOQ for standard products is 100 pieces, and for customized products (non-standard size/thread) is 500 pieces. The delivery cycle is typically 15~20 days (standard) or 25~30 days (customized), depending on order complexity.