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TED382515-2025

Tribometer and nanoindentation/nano-scratch testing system

Oplyst værdi / estimat
Frist
Publiceret
13.6.2025
Leveringssted (NUTS)
DK042, DNK

Dataposten opdateret . Datakilder, dækning og beregningsmetode.

Beskrivelse
A tribometer and nanoindentation/nano-scratch testing system, which must fulfill several critical technical and functional criteria. Specifically, it must provide high-resolution and high-accuracy measurements, minimal thermal drift, and a high stiffness platform to ensure precise and reproducible data. The system must support fully automated multiple indentation and scratch testing over large sample areas, enabling efficient high-throughput operation. Optical capabilities must include advanced video microscopy with autofocus and high magnification (up to 10,000x), synchronized panoramic imaging, and true penetration depth tracking during and after scratching. The system should also include active force feedback, multi-modal testing capability, real-time correction mechanisms, and Python-based scripting for customized test protocols and automated data analysis

Procedure og udbudsmateriale

Oplysninger fra bekendtgørelsen kan dække flere delkontrakter. Listerne nedenfor er separate uddrag; rækkefølgen kobler ikke et kriterium til en beskrivelse eller delkontrakt. Kontrollér krav, vægtning, frister, optioner og eventuelle rettelser i originalmaterialet.

Proceduretype (kildens kode)

  • oth-single

Tildelingskriterier

  • Quality

Beskrivelser af tildelingskriterier

  • • Integrated nanoindentation/nano-scratch system in one platform. • High step resolution and accuracy suitable for advanced material characterization. • Automated multiple indentation and scratching capabilities for high-throughput testing. • Minimal thermal drift, high stiffness, and fast stabilization for accurate, reproducible measurements. • Advanced optical systems (DualView microscope to generate 3D image of surface) with autofocus and up to 10,000x magnification. • High-Resolution 3D Surface Profilometry for Wear Track Analysis • Scripting support and customizable workflows for advanced research (Python-based).

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