HOME > 제품소개 > 범용플라스틱 > 엔지니어링 플라스틱
Casting Resin
Casting Resin
Products Characteristics Color Density Hardness Tg Applications Tensile Strength [MPa] Flexural Strength [MPa]
SC500-NBK - Various hardness adjustment - Excellent mechanical strength and dimensional stability of casting objects
- Good resistance of chemical, oil, water and abrasion
Blue,
Black
1.55,
± 0.05
75,
± 5
80℃ Mold backup,
Liquid casting,
Multipurpose casting, type resin for BASE & NC machining
29.4~
34.3
39.2~
44.1
SC510-NGN - Low shrinkage
- Good machining
- Superior gross retention
- Two components type casting resin
Green 1.55,
± 0.05
63,
± 3
70 Mold backup,
Liquid casting,
Multipurpose casting, type resin for BASE & NC machining
- -
SC520-NBL - Low shrinkage
- Good mechanical strength and dimensional stability of mold objects
- A+B components type casting resin
Blue 1.55,
± 0.05
75,
± 5
80℃ Mold backup,
Liquid casting,
Multipurpose casting, type resin for BASE & NC machining
- -
SC550-NIV - Casting resin for airplanes mold backup
- Excellent workability
- Low exothermic, low shrinkage, suitable for a large mold
- Counter grade for Huntsman CW2215
Ivory 1.55,
± 0.05
75,
± 5
80℃ Mold backup,
Liquid casting,
Multipurpose casting, type resin for BASE & NC machining
*Export Only
- -
SC560-AGR - Various hardness adjustment
- Low shrinkage
- Good mechanical strength and dimensional stability of mold objects
- Superior resistance of chemical, oil, water, abrasion and cold
Gray 1.7~1.8 80~85 100 Mold backup,
Liquid casting,
Multipurpose casting, type resin for BASE & NC machining
63 75
SC570-AGR - Excellent machinery product
- Low shrinkage rate casting resin due to low exothermic
- A+B components type, easy workability
Gray 1.5~1.6 80~85 70 Mold backup,
Liquid casting,
Multipurpose casting, type resin for BASE & NC machining
55 85

* Technical statements and recommendations refer to current standard of technique and are based on our own experiences.
Further development and improvements are reserved. Due to the variety of processing possibilities own experiments are recommended to optimise results.