- -40%
Nincs szín - 25db / készlet 100x70mm egyoldalas réz bevonatú laminált NYÁK áramköri lap FR4 1,5mm
Nincs szín - 25db / készlet 100x70mm egyoldalas réz bevonatú laminált NYÁK áramköri lap FR4 1,5mm
1 685 Ft
40% megtakarítás
2 808 Ft
Nincs adó
Features:
*100% brand new and high quality
*Made of high quality material, durable and practical to use
*Ideal for building prototypes of electronic circuits, one-sided copper PCB.
*Mechanically support and electrically connect electronic components using conductive traces, pads and other features etched from copper sheets laminated on non-conductive substrates.
*This product is widely used in product development, DIY experiment, maintenance, production, etc.
Specification:
*Product Name: PCB CCL
*Size(L * W): 100x70mm / 3.94x2.76 inches(Approx.)
*Material: FR4 Fiberglass Copper
*Thickness: 1.5 mm(Approx.)
*Color: As pictures show
Package Contents:
25 * Copper PCB Boards
Note:
1.The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.
2.Please allow slight manual measurement deviation for the data.
*100% brand new and high quality
*Made of high quality material, durable and practical to use
*Ideal for building prototypes of electronic circuits, one-sided copper PCB.
*Mechanically support and electrically connect electronic components using conductive traces, pads and other features etched from copper sheets laminated on non-conductive substrates.
*This product is widely used in product development, DIY experiment, maintenance, production, etc.
Specification:
*Product Name: PCB CCL
*Size(L * W): 100x70mm / 3.94x2.76 inches(Approx.)
*Material: FR4 Fiberglass Copper
*Thickness: 1.5 mm(Approx.)
*Color: As pictures show
Package Contents:
25 * Copper PCB Boards
Note:
1.The real color of the item may be slightly different from the pictures shown on website caused by many factors such as brightness of your monitor and light brightness.
2.Please allow slight manual measurement deviation for the data.
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