The German Wehrmacht in the Second World War
German, Csar lvarez, 2010Only 1 piece in stock at third-party supplier
Product details
The German Wehrmacht in World War II offers a comprehensive and detailed examination of the German armed forces during World War II. The book features an exclusive selection of dioramas and vignettes that illustrate various aspects of the Wehrmacht. Through practical step-by-step guides, readers are introduced to the techniques of modeling, assembling, and painting. The dioramas presented cover significant themes, including submarines, the Luftwaffe, and various military operations. This work is of great value to both modeling enthusiasts and history buffs, providing a creative way to engage with history.
Subtopic | War history |
Language | German |
Author | Csar lvarez |
Year | 2010 |
Number of pages | 76 |
Book cover | Hard cover |
Item number | 7417983 |
Publisher | Zeughaus |
Category | Non-fiction |
Release date | 15.6.2010 |
Subtopic | War history |
Language | German |
Author | Csar lvarez |
Year | 2010 |
Number of pages | 76 |
Book cover | Hard cover |
CO₂ emissions | 0,94 kg |
Climate contribution | EUR 0,12 |
Width | 207 mm |
30-day right of return if unopened
Compare products
Goes with
Reviews & Ratings
Statutory warranty score
How often does a product of this brand in the «Non-fiction» category have a defect within the first 24 months?
Source: Galaxus- ZeughausNot enough data
- 1.Albin Michel0 %
- 1.Beck C.H.0 %
- 1.Bergli Books0 %
- 1.Bloomsbury0 %
Statutory warranty case duration
How many working days on average does it take to process a warranty claim from when it arrives at the service centre until it’s back with the customer?
Source: Galaxus- ZeughausNot enough data
- Abrams & ChronicleNot enough data
- Albin MichelNot enough data
- AnacondaNot enough data
- Beck C.H.Not enough data
Unfortunately, we don't have enough data for this category yet.
Return rate
How often is a product of this brand in the «Non-fiction» category returned?
Source: Galaxus- ZeughausNot enough data
- 1.Anaconda0 %
- 1.Bloomsbury0 %
- 1.Herder0 %
- 1.Klett-Cotta0 %