FACE TO FACE
The iAssist software shows how to optimise the design of assemblies and manufacture them more efficiently ( image : TRUMPF ).
TRUMPF demonstrated marking operations on its TruMark Station 7000 to ISMR at INTECH .
A data matrix code marked on tube at INTECH 2024 .
the cutting process during production , the software automatically analyses whether a design error is the root cause ,” said Heusel . “ If that is the case , iAssist takes this information into account during the analysis .”
During the visit , ISMR toured TRUMPF ’ s Customer Centre to see a demonstration of new AI solutions in the machine tool sector , as well as its Laser Application Centre to see a demonstration of new AI solutions in laser technology .
TRUMPF is also working on AI in numerous research and development projects . In addition , the company is collaborating with well-known research institutions on AI . For example , it has been working with the Institute for Machine Learning at JKU Linz since 2023 . Under the leadership of AI pioneer Professor Sepp Hochreiter , researchers from TRUMPF and the JKU Linz are transferring the latest AI algorithms from research to TRUMPF ’ s sheet metal processing and laser processes . This will help TRUMPF in its goal to become a market leader in AI .
TRUMPF is also cooperating with the Karlsruhe Institute of Technology ( KIT ) to
“ With iAssist , even designers with little experience can rapidly achieve very good results ,” said TRUMPF .
At this year ’ s INTECH exhibition , TRUMPF presented the “ Runability Guide ”, an initial version of a new AI-based solution designed to help production staff run in the TruMatic 5000 punch laser machine more quickly and easily .
“ At present , when using the machine to produce a new order with a new geometry or from new materials , users must individually test the machine program . This results in idle machine time that can quickly add up , especially with fully automated machines that produce many different parts . With our AI-supported software Runability Guide , users can avoid idle times of up to 20 minutes when running in the system . Based on various evaluation models , the new run-in assistant shows for each new job whether the TruMatic 5000 can produce parts directly or whether manual intervention will be required ,” explained Jonathan Eberle , project leader , TRUMPF .
generate new AI solutions . For example , students at the research institutes used the iAssist design software to optimise assemblies . TRUMPF , in turn , uses the data generated in this way to further train the AI .
AI as an enabler
During INTECH , Stephan Mayer ( CEO , TRUMPF Machine Tools ), Hagen Zimer ( CEO , TRUMPF Laser Technology ) and well-known AI researcher , Professor Sepp Hochreiter ( University of Linz ), outlined how artificial
AI-based run-in assistant from TRUMPF
TRUMPF ’ s Runability Guide uses various models to determine a part ’ s complexity . For this purpose , development engineers from TRUMPF continually upload knowledge from production experts into the cloud .
In addition , the software uses physical simulations and AI to identify any possible problems in each of the process steps . The solution also works with genuine machine data from TruMatic 5000 users . This enables it to draw inferences about potential issues during processing .
“ Once all the models have been used to evaluate the job , the solution delivers its assessment ,” Eberle explained . “ Depending upon the part , this would take up to an hour with classic physical simulation models . But by using AI , we can significantly accelerate this process , meaning that our customers can use it virtually in real time .”
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