In the field of manufacturing process planning and initial operation machines, machine parameters are often provided from few either expensive time-consuming experiments or faster but less accurate numerical simulations. Another option is to use learning predict qualities based on parameters. Thereby, transfer can overcome gap between real simulation data. We evaluated two different approaches artificial neural networks, namely soft-start random initialization, in a injection molding...

The coherent interaction between ensembles of helium Rydberg atoms and microwave fields in the vicinity a solid-state coplanar waveguide is reported. Rydberg-Rydberg transitions, at frequencies 25 38 GHz, have been studied for states with principal quantum numbers range 30--35 by selective electric-field ionization. An experimental apparatus cooled to 100 K was used reduce effects blackbody radiation. Inhomogeneous, stray electric emanating from surface characterized frequency- time-resolved...

A major challenge of today's production systems in the context Industry 4.0 and Cyber-Physical Production Systems is to be flexible adaptive whilst being robust economically efficient. Specifically, implementation motion planning processes for industrial robots need refined concerning their variability task ability adaptively deal with variations environment. In this paper, we propose a reinforcement learning (RL) based, cognition-enhanced six-axis robot complex along continuous trajectories...

NASA's upcoming Dragonfly rotorcraft mission is planned to be deployed the surface of Saturn’s moon Titan [1]. As part Entry Aerosciences Measurements (DrEAM) suite [2], entry capsule will include a subsystem known as COmbined Sensor System for Atmosphere (COSSTA). This being developed by Supersonic and Hypersonic Technologies Department at DLR Institute Aerodynamics Flow Technology, in collaboration with NASA. One components COSSTA pressure sensor Finnish Meteorological (FMI)....

Helium atoms in Rydberg states have been manipulated coherently with microwave radiation pulses near a gold surface and superconducting NbTiN at temperature of $3 \text{K}$. The experiments were carried out skimmed supersonic beam metastable $(1\text{s})^1(2\text{s})^1\, {}^1\text{S}_0$ helium excited laser to $n\text{p}$ levels principal quantum number $n$ between $30$ $40$. separation the cold center collimated is adjustable down $250 μ\text{m}$. Short-lived transferred long-lived...

The ability to characterize static and time-dependent electric fields in situ is an important prerequisite for quantum-optics experiments with atoms close surfaces. Especially which aim at coupling Rydberg the near field of superconducting circuits, identification subsequent elimination sources stray are crucial. We present a technique that allows determination stray-electric-field distributions...

Recent developments in the industrial field are strongly influenced by requirements of fourth revolution (I4.0) for modern Cyber-Physical Production Systems (CPPS) and coherent phenomenon big data (IBD). I4.0 is characterized a growing amount interdisciplinary work cross-domain exchange methods knowledge. Similar to development Internet Things (IoT) consumer market, emergence an (IoP) imminent. The future vision IoP based on aggregated, multi-perspective persistent sets that can be...

Injection moulding enables the production of complex formed high-quality plastics parts in a single step. To achieve high and constant product quality, an appropriate process set-up with regards to quality robustness is essential. A conventional requires expensive time consuming experiments know-how from machine operator. One way overcome this challenge make use learning methods for set-up. These can model relationship between setting parameters values thus enable identification optimal...

In recent years the interest in studying interactions of Rydberg atoms or ensembles thereof with optical and microwave frequency fields has steadily increased, both context basic research for potential applications quantum information processing. We present measurements dispersive interaction between an ensemble helium $37s$ state a single resonator mode by extracting amplitude phase change weak probe tone transmitted through cavity. The results are quantitative agreement predictions made on...

As part of NATO STO AVT-346 “Predicting Hypersonic Boundary-Layer Transition on Complex Geometries,” coordinated experimental and computational studies were conducted the ROTEX-T, a cone-flare geometry used in successful flight-test experiment. At as-flown conditions, separation bubble existed at compression corner. Separation, reattachment, multifaceted linear instability paths leading this to transition turbulence are challenging predict, but have significant impact surface pressure heat...

Industrial Big Data and Energy Management have become major strategic topics in manufacturing as they offer possibilities to realize untapped cost emission saving potentials. The paper discusses the utilization of equipment internal energy-relevant data part developments taking place create energy transparency according ISO 50001. A classification framework estimate required effort ascertaining information on consumption production is described synergy effects with related acquisition,...

The octahedral sharp leading edge of SHEFEXII is made from C/C-SiC fiber reinforced ceramic. It instrumented by three thermocouples and eight pressure ports. A duplicate was ground-tested in arc-heated wind tunnel L3K. Transient thermal response the material to load also determined heat-balance method HEATS compared to measurement data. During ground-testing, hermocouples measured 1179°C, whereas maximum temperature recorded during flight at 30km altitude with 848°C. simulated data...

Condition Based Factory Planning (CBFP) is an approach that holistic and modular in its nature, allowing maximum amount of integration information processes involved planning a factory. The CBFP model however, resides at the level still needs to be specified towards which reflects equations correlations between necessary variables. Concretely, this paper will bring forth methodology for representing general perspective as flow chart based model. founded on visual analytics concepts.

The determination of synergies in research networks is often approached by citation and co-authorship analysis using scientific publications. Although the latter methods allow a detailed insight into cooperation communities, major part data, text body publication, mostly ignored. Hence, this contains valuable which can be processed order to describe entities network, detect between those make use these synergies, e.g. further cooperation. This paper aims at description prototypic...

The application of Big Data Techniques (BDT) in discrete manufacturing appears to be very promising, considering lighthouse projects this area. In general, the goal is collect all data from systems comprehensively, order enable new findings and decision support by means appropriate Industrial (IBD) analysis procedures. However, due limited human economic resources, potential IBD need get prioritized -- best case according their cost-benefit ratio. Available methods for purpose are...

IntroductionThe upcoming Dragonfly rotorcraft mission by NASA is planned to be sent the surface of Saturn’s moon Titan [1]. As part Entry Aerosciences Measurements (DrEAM) suite [2], entry capsule will include a subsystem called COmbined Sensor System for Atmosphere (COSSTA), developed Supersonic and Hypersonic Technologies Department DLR Institute Aerodynamics Flow Technology in cooperation with (T. Thiele, private communication, 2023). One sensors COSSTA pressure sensor Finnish...