Eduard EX200 P-39/P-400 1/48 HASEGAWA

Eduard EX200 P-39/P-400 1/48 HASEGAWA – Painting Masks for Canopy and Wheels

Eduard EX200 is a high-quality set of precision masks designed for the P-39 Airacobra model and its P-400 variant in 1/48 scale, dedicated to Hasegawa kits. This product is an invaluable support for modelers who care about detail during model painting, especially when dealing with canopies that have a large number of small windows and complex glazing shapes.

• Scale: 1/48
• Intended for: P-39 Airacobra / P-400 aircraft models (Hasegawa)
• Countries of aircraft use: United States of America, United Kingdom, USSR, Australia
• Historical period: World War II (years 1939-1945)
• Product category: Modeling accessories – self-adhesive masks
• Material: Specialized self-adhesive film ensuring perfect adhesion to surfaces

Eduard EX200 masks are an excellent addition for all modelers building American or Allied fighter aircraft from the World War II period. The P-39 Airacobra was one of the most important fighters of that era, widely used on both the European and Pacific fronts. The P-400 was the export variant, also used by the Royal Air Force, among others. Both types were renowned for their innovative engineering solutions, such as the placement of the engine behind the pilot.

Using Eduard EX200 masks greatly facilitates painting even the most demanding canopies and wheels, eliminating the time-consuming task of cutting elements from masking tape. The set includes precisely cut masks for both the cockpit windows and landing gear details.

This product is recommended for all World War II aviation enthusiasts and demanding modelers who value accuracy. The difficulty level for using the masks is 1/5 — the operation is extremely simple and intuitive, making it suitable even for beginners.

By choosing Eduard EX200 P-39/P-400 1/48 HASEGAWA you gain confidence in an excellent result and faithful detail reproduction without unnecessary complications. It's a tool that raises the quality of every modeler's work and helps save time, allowing you to focus on the most important parts of your model.