Although the application of mathematical optimization methods for controlling machining processes has been the subject of much research, the situation is different for µ-WEDM. This fact has prompted us to fill the gap in this field in conjunction with investigating µ-WEDM's very low productivity and overall process efficiency, since the current trend is oriented towards achieving high quality of the machined area at a high manufacturing productivity. This paper discusses in detail the application of non-linear programming (NLP) methods using MATLAB to maximize the process performance of µ-WEDM maraging steel MS1 sintered using direct metal laser sintering (DMLS) technology. The novelty of the solution lies mainly in the selection of efficient approaches to determine the optimization maximum on the basis of a solution strategy based on multi-factor analysis. The main contribution of this paper is the obtained mathematical-statistical computational (MSC) model for predicting high productivity and quality of the machined area with respect to the the optimal efficiency of the electrical discharge process in the µ-WEDM of maraging steel MS1 material. During the experimental research and subsequent statistical processing of the measured data, a local maximum of 0.159 mm·min for the parameter and a local minimum of 1.051 µm for the parameter were identified simultaneously during µ-WEDM maraging steel MS1, which was in the range of the predicted optimal settings of the main technological parameters (MTP).
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http://dx.doi.org/10.3390/mi13091446 | DOI Listing |
Materials (Basel)
December 2024
Tribology and Surfaces Group, Universidad Nacional de Colombia-Sede Medellín, Medellin 050034, Colombia.
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Faculty of Military Technology, University of Defence, Brno, Czech Republic.
Phys Chem Chem Phys
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Department of Physics, Faculty of Sciences, Ankara University, 06100 Tandogan, Ankara, Turkey.
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October 2024
College of Food Science and Engineering, Qingdao Agricultural University, Qingdao, China. Electronic address:
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Department of Cell and Molecular Biology, Grand Valley State University, Allendale, MI, USA.
The giant (2-3 × 10 m long) internodal cells of the aquatic plant, , exhibit a rapid (>100 × 10 m s) cyclic cytoplasmic streaming which stops in response to mechanical stimuli. Since the streaming - and the stopping of streaming upon stimulation - is easily visible with a stereomicroscope, these single cells are ideal tools to investigate mechanosensing in plant cells, as well as the potential for these cells to be anesthetized. We found that dropping a steel ball (0.
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