Boca, Marius-Andrei; Slătineanu, Laurenţiu; Sover, Alexandru (2021)
IOP Conference Series: Materials Science and Engineering
1174, 012016.
DOI: 10.1088/1757-899X/1174/1/012016
Adamchuk, Nazar; Schlüter, Wolfgang (2021)
11th International Conference on Advanced Computer Information Technologies (ACIT), Deggendorf, Germany, 618-622.
DOI: 10.1109/ACIT52158.2021.9548492
Welsch, Dennis; Zacharias, Konstantin; Schlüter, Wolfgang (2021)
3rd International Conference Business Meets Technology, Valencia, Spain, 17-25.
DOI: 10.4995/BMT2021.2021.13595
Dettelbacher, Johannes; Schlüter, Wolfgang (2021)
Simulation in Produktion und Logistik 2021, Cuvillier Verlag, Göttingen, 85-92.
Kern, Moritz; Uhl, Christian; Warmuth, Monika (2021)
In: Gonçalves, J.A., Braz-César, M., Coelho, J.P. (eds) CONTROLO 2020. CONTROLO 2020. Lecture Notes in Electrical Engineering, Springer, Cham 695, 93-103.
DOI: 10.1007/978-3-030-58653-9_9
Linzenich, Anika; Arning, Katrin; Ziefle, Martina (2021)
Energy Policy 150, 112071 | 112071.
DOI: 10.1016/j.enpol.2020.112071
Linzenich, Anika; Arning, Katrin; Ziefle, Martina (2021)
In: Helfert, M., Klein, C., Donnellan, B., Gusikhin, O. (eds) Smart Cities, Green Technologies and Intelligent Transport Systems. SMARTGREENS VEHITS 2019. Communications in Computer and Information Science 1217, 40-64.
DOI: 10.1007/978-3-030-68028-2_3
Zaunbrecher, Barbara S.; Arning, Katrin; Halbey, Julian; Ziefle, Martina (2021)
Energy Research & Social Science 74, 101939.
DOI: 10.1016/j.erss.2021.101939
Baunsgaard, Sebastian; Boehm, Matthias; Chaudhary, Ankit; Derakhshan, Behrouz; Geißelsöder, Stefan; Grulich, Philipp M.; Hildebrand, Michael; Innerebner, Kevin; Markl, Volker; Neubauer, Claus; Osterburg, Sarah; Ovcharenko, Olga; Redyuk, Sergey; Rieger, Tobias; Mahdiraji, Alireza Rezaei; Wrede, Sebastian Benjamin; Zeuch, Steffen (2021)
Baunsgaard, Sebastian; Boehm, Matthias; Chaudhary, Ankit; Derakhshan, Behrouz...
SIGMOD '21: Proceedings of the 2021 International Conference on Management of Data, 2450–2463.
DOI: 10.1145/3448016.345754
Sover, Alexandru; Zink, Markus (2021)
Journal für Oberflächentechnik 61, 50-53.
DOI: 10.1007/s35144-021-1188-4
Boca, Marius-Andrei; Sover, Alexandru; Slătineanu, Laurenţiu (2021)
Macromolecular Symposia 396, 200287.
DOI: 10.1002/masy.202000287
Grohmann, Peter; Walter, Michael S. J. (2021)
Applied Science 11 (9), 4207.
DOI: 10.3390/app11094207
Statistical tolerance analysis based on Monte Carlo simulation can be applied to obtain a cost-optimized tolerance specification that satisfies both the cost and quality requirements associated with manufacturing. However, this process requires time-consuming computations. We found that an implementation that uses the graphics processing unit (GPU) for vector-chain-based statistical tolerance analysis scales better with increasing sample size than a similar implementation on the central processing unit (CPU). Furthermore, we identified a significant potential for reducing runtime by using array vectorization with NumPy, the proper selection of row- and column- major order, and the use of single precision floating-point numbers for the GPU implementation. In conclusion, we present open source statistical tolerance analysis and statistical tolerance synthesis approaches with Python that can be used to improve existing workflows to real time on regular desktop computers.
Petsch, Roman; Kapischke, Jörg (2021)
gwf Gas + Energie 5 (21), 30-37.
Hriţuc, Adelina; Slătineanu, Laurenţiu; Boca, Marius-Andrei; Sover, Alexandru; Nagit, Gheorghe; Dodun, Oana; Coteaţă, Margareta; Mihalache, Andrei Marius (2021)
Hriţuc, Adelina; Slătineanu, Laurenţiu; Boca, Marius-Andrei; Sover, Alexandru...
Macromolecular Symposia 396, 200288.
DOI: 10.1002/masy.202000288
Walter, Michael S. J.; Klein, Christina; Heling , Björn; Wartzack, Sandro (2021)
Applied Sciences 11 (6), 2622.
DOI: 10.3390/app11062622
The importance of geometric deviations of components for the aesthetic and functional quality of products has been undisputed for decades. So, it is not surprising that not only have numerous researchers devoted themselves to this field, but also commercial software tools for the analysis and optimization of tolerance specifications (currently already fully integrated in 3D-CAD systems) have been available for around 30 years. However, it is even more surprising that the well-founded specification of tolerances and their analysis using a so-called statistical tolerance analysis are only established in a few companies. There is thus a contradiction between the proclaimed relevance of tolerances and their actual consideration in everyday business life. Thus, the question of the significance of geometric deviations and tolerances as well as the use of statistical tolerance analysis arises. Therefore, a survey among 102 German companies was carried out. The results are presented and discussed in this paper.
Schlüter, Wolfgang; Adamchuk, Nazar (2021)
Tagungsband ASIM Workshop STS/GMMS/EDU 2021. ARGESIM Report 45; ASIM Mitteilung 175, ARGESIM Verlag, Wien, 93-94.
DOI: 10.11128/arep.45
Adamchuk, Nazar; Schlüter, Wolfgang (2021)
InCeight Casting C8. Proceedings of the 1st Congress for intelligent Combining of Design, Casting, Computer Simulation, Checking and Cyclic Behaviour for efficient Cast Components, Fraunhofer LBF, Darmstadt, 63-69.
Wildner, Lukas; Walter, Michael S. J.; Weiherer, Stefan (2021)
In: Howlett, R.J., Littlewood, J.R., Jain, L.C. (eds) Emerging Research in Sustainable Energy and Buildings for a Low-Carbon Future. Advances in Sustainability Science and Technology. Springer, Singapore, 321-330.
DOI: 10.1007/978-981-15-8775-7_19
Air-conditioning of vehicles is important to improve driver comfort and motivate users to invest. The heating and cooling processes required for this are very energy-intensive processes. In conventional battery-operated commercial vehicles, the energy required to operate the air-conditioning system is used from the battery. This reduces the range of the vehicles by up to 30%. One of the greatest challenges in making electric commercial vehicles usable across the board is to increase their driving range. To reduce energy losses through air-conditioning, it is preferable to develop a technology that is independent of the battery. There are a number of options for controlling the temperature of a moving vehicle, but only a limited number that is CO2-neutral. In this paper, we focus on adsorption chiller technology in combination with an auxiliary heater based on bioethanol. To understand the advantage of an adsorption machine, a simulation model can provide useful data on scaling and ease of use and thus be the basis for design and assembly of a prototype system. Therefore, a mathematical model of the adsorption technology is combined with the known dimensional parameters of electric vehicles, and the results are presented in form of a simulation model.
Sover, Alexandru; Zink, Markus; Michalak, Martin (2021)
IOP Conference Series: Materials Science and Engineering 1037, 012032.
DOI: 10.1088/1757-899X/1037/1/012032
Boca, Marius-Andrei; Sover, Alexandru; Slătineanu, Laurenţiu (2020)
IOP Conference Series: Materials Science and Engineering 997, 012021.
DOI: 10.1088/1757-899X/997/1/012021
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