Beige 220 Explorer Dining Table by Jaime Hayon for BD Barcelona

Details

Description

Table designed by Jaime Hayon in 2021, added to the Explorer collection that started in 2019. Manufactured by BD Barcelona … Read more Table designed by Jaime Hayon in 2021, added to the Explorer collection that started in 2019. Manufactured by BD Barcelona in Spain. As a continuation of the playful Explorer Table series and following its elegant beauty, we are proud to introduce the new Explorer Dining Table, enhancing the sculptural identity of the collection and upgrading its function. Materials and finishes: Interior painted steel structure. Central leg and base in fibreglass with a gloss (strengthened gel for durability) finish. MDF veneered table top in Polaris with a matte finish by Abet Laminati. The underside and the borders of the top are lacquered in a matte finish. Multicolor Beige -Overlay: laminate Polaris 2901 (Sand) -Underlay: Ral 8017 Matt (Chocolate brown) -Body: Ral 1001 Gloss (Beige) -Base: Ral 8015 Gloss (Chestnut brown). Optional top in Polaris 2902 nearly black in all combinations. Production delay: 8-9 weeks Important information regarding images of products: Please note that some of the images may show other colors and variations of the model, these images are only to present interior design proposals. The item that is selling is on the first image. Important information regarding color(s) of products: Actual colors may vary. This is due to the fact that every computer monitor, laptop, tablet and phone screen has a different capability to display colors and that everyone sees these colors differently. We try to edit our photos to show all of our products as life-like as possible, but please understand the actual color may vary slightly from your monitor. about customisation options. This piece is attributed to the mentioned designer/maker. It has no attribution mark and no
official proof of authenticity,
however it is well documented in design history. I take full responsibility for any authenticity



issues arising from misattribution See less