1. Physics based models for characterization of machining performance – A critical review 

   Attia H.; Sadek A.; Altintas Y.; et al. (2024)

   CIRP Journal of Manufacturing Science and Technology

   This paper presents a comprehensive review of the concept of machinability by considering the dynamic, tribological, and thermo-mechanical interactions encountered at the tool-chip-machined surface interfaces. The paper provides a demonstration of the capabilities and gaps of the physics-based models for the characterization of the machining performance and the prediction of machinability of difficult-to-cut materials, including additively ...

   Journal Article

2. This is SpArta: Rigorous Optimization of Regionally Resolved Energy Systems by Spatial Aggregation and Decomposition 

   Reinert C.; Nilges B.; Baumgärtner N.; et al. (2024)

   Applied Energy

   Energy systems with high shares of renewable energy are characterized by local variability and grid limitations. The synthesis of such energy systems, therefore, requires models with high spatial resolution. However, high spatial resolution increases the computational effort. Here, we present the SpArta method for rigorous optimization of regionally resolved energy systems by Spatial Aggregation and decomposition. SpArta significantly ...

   Journal Article

3. Don't be a hamster! Social appeals to curb panic buying at the point-of-sale 

   Arnet S.; Nißen M.; von Wangenheim F. (2024)

   Journal of Retailing and Consumer Services

   The COVID-19 pandemic confronted retailers with an unprecedented challenge: convincing customers to buy less. Given the ineffectiveness of real-life strategies against panic buying, we explore the power of social appeals to convince consumers of buying less voluntarily. In three multi-method studies based on field and lab data, we demonstrate that the use of social appeals not only comes with favorable marketing outcomes for retailers ...

   Journal Article

4. Reliability analysis of arbitrary systems based on active learning and global sensitivity analysis 

   Moustapha M.; Parisi P.; Marelli S.; et al. (2024)

   Reliability Engineering and System Safety

   System reliability analysis aims at computing the probability of failure of an engineering system given a set of uncertain inputs and limit state functions. Active-learning solution schemes have been shown to be a viable tool but as of yet they are not as efficient as in the context of component reliability analysis. This is due to some peculiarities of system problems, such as the presence of multiple failure modes and their uneven ...

   Journal Article

5. Scanning optoacoustic angiography for assessing structural and functional alterations in superficial vasculature of patients with post-thrombotic syndrome: A pilot study 

   Nemirova S.; Orlova A.; Kurnikov A.; et al. (2024)

   Photoacoustics

   This study highlights the potential of scanning optoacoustic angiography (OA) in identifying alterations of superficial vasculature in patients with post-thrombotic syndrome (PTS) of the foot, a venous stress disorder associated with significant morbidity developing from long-term effects of deep venous thrombosis. The traditional angiography methods available in the clinics are not capable of reliably assessing the state of peripheral ...

   Journal Article

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