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Service provision is a valuable opportunity for mechanical engineering companies to distinguish themselves from competitors and enhance overall performance. Due to their product focus, companies in this industry confront new challenges when adding...

The springback parameter is crucial for the manufacturing accuracy in bending processes. This study examined the suitability of machine learning methods for springback prediction and evaluated the accuracy of the predictions. It was possible to...

In powder bed-based manufacturing processes, the powder feedstock is not completely solidified. Unused material can be reused depending on its condition. However, the complexity of tracking along the process chain, especially in multi-material...

The Energy Efficiency Index is an empirical data source examining the degree to which energy management systems are implemented in industry. Monitoring and analyzing energy consumption enables companies to increase their energy efficiency.

Matrix production systems are structured in a modular fashion and exhibit flexible controllability. With respect to managing energy consumption on the demand side, these features offer substantial potential for energy flexibility. In this context, a...

The monitoring of forming processes and machine behavior is an essential enabler for increased agility and efficiency in forming technology. Here, the monitoring of rolling processes to produce metallic bipolar plates requires precise, sensitive,...

Thin-walled structural components often tend to chatter vibrations due to their compliancy. Modal analyses can be used to calculate stability maps and avoid chatter vibrations, but this is time-consuming. ZeTeM Bremen and IFW Hannover together with...

This paper presents the results of a qualitative multiple case study, analyzing the prevalence of digital business models in the German mechanical and plant engineering industry. The study identified three business models in the strategic focus of...

Data-driven prediction models are the core of adaptive test planning, but always have a model-based prediction error. For a reliable interpretation of the prediction result, the modeling of the associated uncertainty is of particular importance....

Microfluidic MEMS-chips analyze, channel and process fluids and slurries. Monocrystalline silicon as the chip material enables ultra-fine channels with sub-micron structures. Across diverse applications, feeding samples into these chips is...

Medical bone screws are usually machined from biocompatible titanium alloys. For the manufacturing of the screw drive, the small dimensions and the difficult to machine material are often challenging. This work therefore presents a novel screw drive...

Industrial computed tomography requires extensive expert knowledge. This paper presents a concept to automate the parameterization of measurements by reinforcement learning. Within a simulation, agents are supposed to learn measurement strategies...

New concepts such as the value-enhancing circular economy offer an approach for realizing sustainability profitably through digitalization in companies. In order to build up the necessary competencies in parallel to the existing business,...

Grinding processes are predominantly used to machine the final contour of workpieces. However, due to high thermal and mechanical load on the workpiece and tool, these processes are limited to low removal rates. The development of new types of rod...

The increasing individualization of products poses challenges for companies. The online survey of the Mass Personalization Centre in Stuttgart shows that personalization is used as a differentiation strategy by companies to offer customers...

This paper presents the results of the investigation of multifluid dielectrics in electrical discharge micro drilling. Liquid, gaseous and mixed dielectrics are investigated individually and in combination. Tungsten carbide (WC) was used for the...

Increasing personalisation leads to new challenges as well as opportunities. In the product development and production processes of personalised products, competitive advantages can be achieved by involving customers. In this context, companies also...

Process parameters and dressing conditions influence the thermal load and thus the energy consumption and surface integrity. This is compared for a single-step and multi-step grinding process. By the influence of the thermal impact and its depth...

The paper examines the drivers of decarbonisation goals and their impact on sustainable business model innovations in the steel, chemical and cement industries. A systematic literature review and qualitative expert interviews are applied. The...

In this paper, the integration of a heat pump and a combined heat and power plant into an existing energy supply infrastructure is evaluated economically and ecologically for two historically strongly different energy price scenarios and variable...

This paper presents and compares planning methods from different fields of application, such as factory planning, regional and industrial energy system planning, and planning methods for energy efficiency measures. The focus is on the...

With the increasing spread of lithium-ion battery cells, a narrowing of the manufacturing tolerances can be seen. The thickness of the battery electrodes from which the battery cells are later assembled have a significant influence on the...

The present investigations compare the run-in behavior of metal-bonded diamond microfinishing tools in different conditioning states. The analysis is carried out on the workpiece, process and tool sides on the basis of surface quality, process...