Kistler Academy Broadens Its Training Portfolio with New Specialized Courses
Using your expertise to get the most out of sensor technology: The Kistler Academy, an ISO-certified training institution, organizes courses for users from the injection molding industry for plastics. Kistler experts provide the knowledge required for optimum sensor use, efficient process design, monitoring and control, as well as profitable data evaluation. The broadened range now includes courses on part and mold design and AI-based data analysis.
A large number of cavity pressure sensors, the use of specific software and data management alone do not guarantee high efficiency in injection molding production. Only with the right knowledge and skills will users be able to make the best and most profitable use of these technologies.
“We have noticed that many production plants already use sensors and software to monitor mold cavity pressure but often lack the in-depth know-how to fully exploit the potential,” explains Dr. Oliver Schnerr, Head of the Plastics Academy and Application Technology at Kistler. For this reason, the DIN/ISO 21001-certified academy offers three successive levels of training on the optimum measurement and evaluation of mold cavity pressure. “With our Kistler Academy offer, we take a look at the entire process. From article and tool construction, through tool manufacturing and maintenance, to sampling and series production, as well as quality assurance and process and production analysis – naturally with a focus on mold cavity pressure measurement”, says Schnerr. The application-oriented courses are divided into theoretical and practical parts and are held at customers’ premises and as seminars in cooperation with selected institutes.
Needs-based training courses: basic, advanced and expert level
Kistler has divided the training courses into three areas: the basic level covers the correct selection, handling and operation of products and solutions such as sensors, ComoNeo or AkivisIO. The second level focuses on different process variants in injection molding and the efficient use of cavity pressure measurement in various processes. The goal is always to significantly reduce production costs through automated quality assurance and process control and regulation.
Third-level courses center on data storage and analysis, including knowledge transfer on process data management and the use of AI for data evaluation. “In all three areas, however, there is a clear focus on the use of cavity pressure and the associated opportunities for cost reduction,” explains Schnerr. “Throughout the academy, we concentrate on the opportunities for cost savings through the efficient use of resources and data along the entire injection molding process. Our offering is hence aimed at a broad range of users.”
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