Alemnis AG is proud to introduce MINDS (Mechanical Modern Nanotechnology Diagnostic Software program), a brand new software program platform designed to assist laboratories automate advanced mechanical testing workflows and enhance reproducibility.
As mechanical testing turns into more and more subtle, from in-situ experiments and paired environmental testing to micropillars, skinny movies, MEMS, and biomaterials laboratories face rising stress to execute experiments persistently throughout a number of customers, devices, and long-term analysis applications.
In lots of laboratories, superior experiments nonetheless rely closely on guide configuration, operator experience, fragmented procedures, and separate post- processing instruments. Because of this, refined variations in how workflows are executed can introduce variability and make outcomes harder to check over time.
MINDS was developed to handle this problem immediately.
MINDS doesn’t change what you check – it adjustments how reliably and effectively you possibly can execute it.
Turning Complicated Workflows into Automated Processes
The core innovation of MINDS is automation.
The platform permits customers to rework advanced testing procedures into structured, automated workflows that may be executed persistently with minimal guide intervention. As soon as a workflow is outlined, MINDS performs the required experimental and evaluation steps routinely, making certain that every check is executed in the identical approach no matter who runs it.
By lowering dependence on operator expertise and guide setup, MINDS helps laboratories:
- Standardize superior testing procedures
- Decrease user-to-user variability
- Scale back human error
- Improve throughput
- Combine knowledge evaluation immediately into the workflow
- Scale testing actions extra effectively
This automation-driven method permits laboratories to focus much less on repetitive operational duties and extra on deciphering high-quality, reproducible knowledge.
Unified Platform for Mechanical Testing and Evaluation
MINDS serves as Alemnis’ next-generation software program platform for experiment management and knowledge evaluation, changing legacy software program environments together with AMICS-ECO and AMMDA whereas sustaining compatibility with present Alemnis knowledge.
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 permit customers to guage hardness, elastic modulus, stress–pressure habits, creep, and different key mechanical properties inside the similar software program surroundings.
Designed for Trendy Analysis Laboratories
MINDS was developed in shut collaboration with researchers working throughout various 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 below managed environments, gentle organic tissues, or advanced microfabricated gadgets, MINDS offers a strong framework for executing experiments with higher consistency and confidence.
Versatile and Scalable Structure
Constructed on a modular software program structure, MINDS may be expanded by means of plug-ins that assist extra {hardware} modules and new functionalities as laboratory necessities evolve.
This design permits customers to improve and prolong their methods whereas defending present workflows and long-term investments.
A New Customary for Dependable Mechanical Testing
With MINDS, Alemnis introduces a software program platform that addresses probably the most vital challenges in superior mechanical testing: executing more and more advanced experiments in a dependable, reproducible, and scalable approach.
From nanoindentation to macro-scale characterization, MINDS permits laboratories to automate subtle workflows and generate constant, high-quality outcomes throughout customers, devices, and time.
