Abstract While incremental sheet metal forming offers the potential for producing parts in small lot sizes, relatively low accuracy prevents widespread industrial use. For improving accuracy, research institutes are using machine learning techniques to predict geometric and modify toolpath based on prediction. A critical challenge is it ensure generalizability of prediction model as only a amount process data available train due lack collaborations. This publication presents highly...

Abstract Incremental sheet forming is a process for the production of metal parts in small batch sizes. Due to relatively low geometrical accuracy and lack precise fast finite element analysis simulations process, industrial use cases are rare. Recently, vast amount scientific approaches simulated by utilizing machine learning techniques. Their success limited quantity quality used data. Research institutes struggling gather enough data without cooperations. For maximizing distribution an...

Within this article, we describe our latest efforts in increasing the geometric accuracy of incrementally formed sheet metal. For purpose, design a series experiments and special specimen geometry. To enable experiments, implement computer aided manufacturing (CAM) system that gives us necessary freedom planning tool paths choice process parameters. With help generated robot programs, carry out forming whose results are digitized subsequently. From digitization data thus obtained, extract...

Abstract Incremental sheet forming is a process for small lot sizes due to its dieless principle. One of variants includes local heating the counteract some restrictions (formable materials, forces, achievable deformations). Although at elevated temperatures provides various advantages, geometric accuracy formed part remains low shrinking effects caused by and cooling. This publication presents data-driven approach where data gathered used in regression learning predict resulting from...

Abstract In robot-based incremental sheet forming, the forming robot is displaced due to forces and comparable low stiffness. As can not be predicted precisely, stiffness needs compensated based on measurement of a force torque sensor. While previous approaches used precalculated lookup tables, this publication presents multi body system model that calculate displacement tool center point in real-time. supporting typically controlled bring superimposed stress into zone. Unfortunately, could...

This article describes new developments in an incremental, robot-based sheet metal forming process for the production of components small lot sizes and prototypes. The dieless kinematic-based generation metal's shape is implemented by means two industrial robots, which are interconnected to a cooperating robot system. With help this system, experimental survey has been carried out examine influence support force angle supporting tool on geometric accuracy. Their illustrated with various...

Abstract The application of machine learning promises great growth potential for industrial production. development process a solution use cases requires multi-layered, sophisticated decision-making processes along the pipeline that can only be accomplished by subject matter experts with knowledge statistical mathematics, coding, and engineering knowledge. By having humans computers work together in digital assistance system, special characteristics human artificial intelligence used...

Abstract Production environments bring inherent system challenges that are reflected in the high-dimensional production data. The data is often nonstationary, not available sufficient size and quality, class imbalanced due to predominance of good parts. Data-driven manufacturing analytics requires quantity quality. In order predict quality characteristics, collected across processes industrial use case at Bosch Rexroth AG for purpose inferring results hydraulic final inspection using machine...

<title>Abstract</title> While incremental sheet metal forming offers the potential for producing parts in small lot sizes, relatively low accuracy prevents a widespread industrial use. For improving accuracy, research institutes are using machine learning techniques to predict geometric and modify toolpath based on prediction. A critical challenge is it ensure generalisability of prediction model as only amount process data available train due lack collaborations. This publication presents...

Incremental sheet metal forming (ISMF) is a promising manufacturing technique that has gained significant attention due to its ability produce complex geometries and high-quality products, particularly for small-scale production rapid prototyping. The integration of industrial robots into the ISMF process, referred as roboforming, enabled advancements in this field. However, inherent limitations robots—particularly reduced rigidity robotic arms with rotary joints—can lead dimensional...

Incremental sheet metal forming is an emerging process for the production of individualized products or prototypes in low batch sizes and with short times to market. In these processes, desired shape produced by incremental inward motion workpiece-independent tool depth direction its movement along contour lateral direction. Based on this production, path generation a key factor e.g. resulting geometric accuracy, surface quality, working time. This paper presents innovative based commercial...

Industrieroboter finden zunehmend Anwendung bei Bearbeitungsprozessen. Hier weisen die Roboter bedingt durch ihre vergleichsweise geringe Steifigkeit eine deutlich höhere Abdrängung des Endeffektors, als herkömmliche CNC-Maschinen, auf. Dieser Beitrag stellt einen Ansatz zur Minimierung solcher Abdrängungen Werkzeugs Ausnutzung der rotatorischen Freiheitsgrade an Frässpindel vor. Hierzu wurde Endeffektors unterschiedlichsten Orientierungen mittels eines Strukturmodells untersucht.