{"id":16663,"date":"2023-02-27T17:09:30","date_gmt":"2023-02-27T16:09:30","guid":{"rendered":"https:\/\/saarland-informatics-campus.de\/?post_type=sic_news&p=16663"},"modified":"2024-03-11T10:58:43","modified_gmt":"2024-03-11T09:58:43","slug":"computer-scientists-unlock-new-methods-for-the-laser-material-processing-industry","status":"publish","type":"sic_news","link":"https:\/\/saarland-informatics-campus.de\/en\/piece-of-news\/computer-scientists-unlock-new-methods-for-the-laser-material-processing-industry\/","title":{"rendered":"Computer scientists unlock new methods for the laser material processing industry"},"content":{"rendered":"

A novel approach from Saarbr\u00fccken, Germany, promises to overhaul a whole range of laser material processing techniques: Researchers at the Max Planck Institute for Informatics have developed an artificial intelligence-based method for this purpose that significantly speeds up some of the intermediate steps in production. There is an industry collaboration with TRUMPF. The high-tech company offers manufacturing solutions in the fields of machine tools and laser technology. On top of that, the team is now being funded by the EXIST Start-up program of the German Federal Ministry of Economics and Climate Action (BMWK) with around 800,000 euros, to bring their development to market maturity.<\/strong><\/p>\n

The new approach is based on a so-called evolutionary exploration algorithm combined with a customized sorting method. “With this, we have developed the first computational, automated solution for a whole range of highly complex problems of the laser material processing industry, that were until now still solved ‘manually’ by trial and error” explains Vahid Babaei, head of the research group \u201eArtificial Intelligence aided Design and Manufacturing” at the Saarbr\u00fccken Max Planck Institute for Informatics at the Saarland Informatics Campus.<\/p>\n

An example for such a production method is the so-called “Color Laser Marking”, a process in which metallic surfaces are colored by means of heating them with a laser. Heat-induced colors are extremely difficult to predict, as they depend on numerous process parameters \u2013 for example, the type of metal being heated, the speed at which it is heated, the heating power, or how long a single laser pulse lasts. \u201cIf one wanted to heat metal to a certain color, the only solution until now was to manually edit the corresponding parameters until the desired color tone was achieved. This very inaccurate and inefficient approach prevented industrial adoption of color laser marking and also similar production methods, that depend on optimizing the interplay of a large set of laser parameters,\u201d adds Vahid Babaei.<\/p>\n

Together with his colleagues Sebastian Cucerca (research engineer at the Max Planck Institute for Informatics) Piotr Didyk (Professor at University of Lugano) and Hans-Peter Seidel (Scientific Director at the Max Planck Institute for Informatics) Vahid Babaei has developed an algorithm which automates and streamlines this process of \u201cparameter exploration\u201d to such an extent, that it makes a whole set of laser material processing methods feasible for industrial use. With regard to Color Laser Marking, the new approach makes it possible for example to \u201cprint\u201d saturated, high-resolution, colored images on metal without using any dyes, only through heating the material.<\/p>\n

The method uses a so-called evolutionary exploration algorithm in combination with a customized sorting method. The exploration algorithm repeats the same steps until it finds the best possible result: First, it starts with the laser making markings based on randomly selected parameters. The algorithm then measures the properties (here color and resolution) of these markings and then, based on these, calculates the next set of parameters for the laser to use to mark. This is where the customized sorting algorithm comes in: it sorts the best-performing process parameters of the previously marked colors according to various metrics, such as resolution or color saturation. The evolutionary algorithm, in turn, uses these sorting results to generate a new generation of colors that contains the best characteristics of the “parent generation.” This iterative process runs until there is no significant improvement in the result and thus the best possible outcome has been found.<\/p>\n

This new approach to these types of optimization problems is currently unique in the world and is highly scalable to different types of lasers and substrates and also other properties than color. \u201cWe strongly believe that color marking is just the tip of the iceberg and our algorithm can accelerate many different processes dealing with surface activation through lasers, like for example changing the haptics of a material,\u201d says Vahid Babaei.<\/p>\n

To bring this development to market maturity, a team led by Vahid Babaei and composed of Azadeh Asadi, Sebastian Cucerca, and Mojtaba Bemana (all from Max Plank Institute for Informatics) is now being funded by the “EXIST” Start-up program of the German Federal Ministry of Economic Affairs and Climate Action (BMWK) with around 800,000 euros.<\/p>\n

In addition, the researchers have already been able to win one of the world’s leading suppliers of machine tools for flexible sheet metal processing and for industrial lasers, TRUMPF, based in Ditzingen near Stuttgart, as an industrial partner. Paul Stumpf, business development manager at TRUMPF, says: \u201cWe believe this technology can have a major impact on laser marking industry and beyond. The technology treats physical laser-material interaction side of the process as a black box and takes advantage of the power of data and artificial intelligence algorithms.\u201d<\/p>\n

 <\/p>\n

Background EXIST program:
\n<\/strong>EXIST has been successfully supporting start-up networks, universities and non-university research institutions since 1998. The aim is to increase the number of innovative spin-offs with the help of start-up support services in teaching, research and administration. Under the umbrella of “EXIST-Gr\u00fcndungskultur”, the Federal Ministry for Economic Affairs and Climate Action (BMWK) has therefore conducted the funding competitions EXIST I – IV in recent years. Currently, the EXIST-Potentials competition round is underway, supporting a total of 142 public and private universities. Since 2000, EXIST has also supported university graduates, scientists and students in the development of their start-up projects with financial grants and know-how.
\nhttps:\/\/www.exist.de\/EXIST\/Redaktion\/EN\/Dossier\/About-EXIST\/About-EXIST.html<\/a><\/p>\n

 <\/p>\n

Background Max Planck Institute for Informatics:
\n<\/strong>The Max-Planck-Institute for Informatics in Saarbr\u00fccken is one of the world\u2019s leading research institutes in Computer Science. Since the institute\u2019s establishment in 1990 it has researched the mathematical foundations of information technology in the areas of algorithms and complexity, as well as logic of programming. At the same time researchers at the institute have developed new algorithms for various application areas such as databases and information systems, program verification, and bioinformatics. Basic research in visual computing, i.e. computer graphics and computer vision, at the intersection to artificial intelligence and machine learning, is also an important focus of the institute. With publications at the highest level and the education of excellent young researchers, the MPI for Informatics plays a major part in advancing basic research in computer science.
\nhttps:\/\/www.mpi-inf.mpg.de\/home<\/a><\/p>\n

 <\/p>\n

Background Saarland Informatics Campus:
\n<\/strong>900 scientists (including 400 PhD students) and about 2500 students from more than 80 nations make the Saarland Informatics Campus (SIC) one of the leading locations for computer science in Germany and Europe. Four world-renowned research institutes, namely the German Research Center for Artificial Intelligence (DFKI), the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the Center for Bioinformatics as well as Saarland University with three departments and 24 degree programs cover the entire spectrum of computer science.
\nhttps:\/\/saarland-informatics-campus.de\/en\/<\/a><\/p>\n

 <\/p>\n

About TRUMPF:<\/strong>
\nThe high-tech company TRUMPF offers manufacturing solutions in the fields of machine tools and laser technology. The company is driving the digital networking of the manufacturing industry through consulting, platform and software offerings. TRUMPF is the technology and market leader in machine tools for flexible sheet metal processing and in industrial lasers.\u00a0In 2021\/22, the company generated revenue of 4.2 billion euros with around 16,500 employees. With more than 80 subsidiaries, the Group is represented in almost all European countries, in North and South America, and in Asia. Production sites are located in Germany, France, the UK, Italy, Austria and Switzerland, Poland, the Czech Republic, the USA, Mexico and China.
\nwww.trumpf.com<\/span><\/a><\/p>\n

 <\/p>\n

More Information:
\n<\/strong>https:\/\/aidam.mpi-inf.mpg.de\/?view=home<\/a><\/p>\n

 <\/p>\n

Scientific Contact:
\n<\/strong>Vahid Babaei, PhD
\nMax Planck Institute for Informatics
\nTel.: + 49 681 302 70761
\nEmail: vbabaei(at)mpi-inf.mpg.de<\/p>\n

\u00a0<\/strong><\/p>\n

Editor and press contact:<\/strong>
\nPhilipp Zapf-Schramm
\nSaarland Informatics Campus
\nPhone: +49 681 302-70741
\nE-Mail:\u00a0pzapf@cs.uni-saarland.de<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

A novel approach from Saarbrücken, Germany, promises to overhaul a whole range of laser material processing techniques: Researchers at the Max Planck Institute for Informatics have developed an artificial intelligence-based method for this purpose that significantly speeds up some of the intermediate steps in production. There is an industry collaboration with TRUMPF. 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