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A process for analysing the manufacturability of stress-adapted components made of metal and fibre-reinforced hybrid structures using an industrial robot is being investigated. The use of an industrial robot makes it possible to circumvent previous...

Thin-walled precision components including bipolar and electrolyzer plates are key to the transformation towards sustainable energy usage and storage. Conventional forming technologies for these metallic components, however, are limited in...

A newly developed test setup enables the experimental-numerical determination of the effective heat transfer coefficient (HTC) depending on various influences for the forging of EN AW-6082. The HTC was determined as a function of temperature,...

Carbon fiber reinforced plastics (CFRP) are being applied in a wider range of industrial fields. They are not only used for free-formed surfaces, but increasingly also for profiles, tubes, and bars. When cutting other materials to length, such as...

Implementing AI in manufacturing does not necessarily fail because of model creation but is often due to a lack of reliable operation within production environments. AI Asset Management for Manufacturing (AIM4M) is a process model for the AI...

This article presents a methodology for autonomous cyber defence in Industry 4.0 environments, linking organisational risk management with generative AI. Combining LLMs, RAG, and standardised SOPs creates, a structured decision-making process that...

Sustainable industrial manufacturing can be significantly enhanced using data-driven, AI-supported systems. This paper presents a platform based on the three Zero³ dimensions: Zero Human Potential Loss, Zero Resource Loss, and Zero Data Loss. Using...

In production engineering, CNC-controlled manufacturing cells are increasingly extended to include CNC-controlled robots. However, CNC controllers do not provide functions for planning collision-free motion paths. The Robot Operating System (ROS)...

The paper introduces the “One Stop Autonomization” approach, based on embodied, generative AI agents. These humanoid robots act flexibly in real-world environments, enabling scalable, safe, and human-centric automation. Emphasis is placed on...