Automation-Pushed Software program for Reproducible Mechanical Testing Throughout Nano to Macro Scales


Alemnis AG is proud to introduce MINDS (Mechanical Revolutionary Nanotechnology Diagnostic Software program), a brand new software program platform designed to assist laboratories automate complicated mechanical testing workflows and enhance reproducibility.

Automation-Pushed Software program for Reproducible Mechanical Testing Throughout Nano to Macro Scales

As mechanical testing turns into more and more refined, from in-situ experiments and paired environmental testing to micropillars, skinny movies, MEMS, and biomaterials laboratories face rising strain to execute experiments constantly throughout a number of customers, devices, and long-term analysis packages.

In lots of laboratories, superior experiments nonetheless rely closely on handbook configuration, operator experience, fragmented procedures, and separate post- processing instruments. Consequently, refined variations in how workflows are executed can introduce variability and make outcomes tougher to check over time.

MINDS was developed to handle this problem instantly.

MINDS doesn’t change what you check – it modifications how reliably and effectively you’ll be able to execute it.

Turning Complicated Workflows into Automated Processes

The core innovation of MINDS is automation.

The platform permits customers to rework complicated testing procedures into structured, automated workflows that may be executed constantly with minimal handbook intervention. As soon as a workflow is outlined, MINDS performs the required experimental and evaluation steps robotically, guaranteeing that every check is executed in the identical method no matter who runs it.

By lowering dependence on operator expertise and handbook setup, MINDS helps laboratories:

  • Standardize superior testing procedures
  • Reduce user-to-user variability
  • Cut back human error
  • Enhance throughput
  • Combine information evaluation instantly into the workflow
  • Scale testing actions extra effectively

This automation-driven strategy permits laboratories to focus much less on repetitive operational duties and extra on deciphering high-quality, reproducible information.

Unified Platform for Mechanical Testing and Evaluation

MINDS serves as Alemnis’ next-generation software program platform for experiment management and information evaluation, changing legacy software program environments together with AMICS-ECO and AMMDA whereas sustaining compatibility with current Alemnis information.

The platform helps a variety of experiments, together with indentation, compression, stress, mapping, and scratch testing, with full management of positioning, load, and displacement.

Built-in evaluation capabilities enable customers to judge hardness, elastic modulus, stress–pressure conduct, creep, and different key mechanical properties throughout the similar software program atmosphere.

Designed for Trendy Analysis Laboratories

MINDS was developed in shut collaboration with researchers working throughout numerous utility areas, together with:

  • Supplies science
  • Semiconductor gadgets
  • Nuclear supplies
  • Coatings and floor engineering
  • MEMS and microstructures
  • Biomaterials and biomechanics
  • Superior manufacturing

Whether or not testing irradiated supplies underneath managed environments, gentle organic tissues, or complicated microfabricated gadgets, MINDS offers a strong framework for executing experiments with better consistency and confidence.

Versatile and Scalable Structure

Constructed on a modular software program structure, MINDS will be expanded via plug-ins that assist further {hardware} modules and new functionalities as laboratory necessities evolve.

This design permits customers to improve and prolong their methods whereas defending current workflows and long-term investments.

A New Normal for Dependable Mechanical Testing

With MINDS, Alemnis introduces a software program platform that addresses some of the vital challenges in superior mechanical testing: executing more and more complicated experiments in a dependable, reproducible, and scalable method.

From nanoindentation to macro-scale characterization, MINDS permits laboratories to automate refined workflows and generate constant, high-quality outcomes throughout customers, devices, and time.

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