Kern Case 1mg - 1 kg E1 + E2 + F1, wood
More than 10 pieces in stock at third-party supplier
Load capacity7
Product details
The wooden weight case from Kern Swiss is a precise and functional accessory for analytical balances, specifically designed for nominal values ranging from 1 mg to 1 kg. It is suitable for classes E1, E2, and F1, and features a compact design that allows for easy handling and storage. The set is ideal for applications requiring exact weight measurements and meets the high standards of the respective weight classes. The use of wood as a material not only gives the case an appealing look but also ensures a robust and durable construction. This weight case is a valuable addition for laboratories, educational institutions, and industrial applications where precise measurements are crucial. The thoughtful design allows for easy removal and replacement of the weights, enhancing efficiency during use. With this product, users receive a reliable tool that meets the demands for accuracy and quality.
Load capacity | 1 kg |
Item number | 34032651 |
Manufacturer | Kern |
Category | Precision scales |
Manufacturer no. | 313-060-100 |
Release date | 17.5.2023 |
Material group | Wood |
Load capacity | 1 kg |
Accuracy | 0 g |
Country of origin | Germany |
CO₂ emissions | 13.4 kg |
Climate contribution | CHF 0.32 |
Compare products
Goes with
Reviews & Ratings
Warranty score
How often does a product of this brand in the «Precision scales» category have a defect within the first 24 months?
Source: Digitec Galaxus- KernNot enough data
- 1.Maul0 %
- 1.Voltcraft0 %
- 3.Genie0.1 %
- 4.Purecrea0.2 %
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: Digitec Galaxus- KernNot enough data
- 1.Domo0 days
- 1.Kern0 days
- 3.Swissdetector5 days
- AdlerNot enough data
Return rate
How often is a product of this brand in the «Precision scales» category returned?
Source: Digitec Galaxus- KernNot enough data
- 1.Chilitec0 %
- 2.Adler0.2 %
- 2.DZ Series0.2 %
- 2.SPC0.2 %