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Abrasive Waterjet Machining (AWJM) is considered a viable alternative to conventional machining processes, due to its capability of rendering even complex features on parts with high productivity. However, it is currently also important for manufacturing processes to comply with the various aspects of sustainability, by putting emphasis on the environmental dimension apart from the economic. Although AWJM generally is considered an inherently environmentally friendly process, it is required that thorough experimental studies be carried out to evaluate the sustainability of AWJM under various conditions. In the present work, AWJM experiments under various conditions were conducted on a Ti-6Al-4V workpiece in order to determine the optimal conditions leading to a high degree of sustainability in this process based on several indicators. The experiments were carried out using glass beads, which act as an eco-friendly abrasive. After the basic outcome of the experiment was analyzed to determine the correlations between process parameters and depth of penetration, kerf width, and kerf taper angle, sustainability analysis with the aid of Grey Relational Analysis (GRA) was conducted. The optimum solution provided a sufficiently high score regarding both the economic and environmental dimensions of sustainability.
Nikolaos E. Karkalos; Panagiotis Karmiris-Obratański; Rafał Kudelski; Angelos P. Markopoulos. Experimental Study on the Sustainability Assessment of AWJ Machining of Ti-6Al-4V Using Glass Beads Abrasive Particles. Sustainability 2021, 13, 8917 .
AMA StyleNikolaos E. Karkalos, Panagiotis Karmiris-Obratański, Rafał Kudelski, Angelos P. Markopoulos. Experimental Study on the Sustainability Assessment of AWJ Machining of Ti-6Al-4V Using Glass Beads Abrasive Particles. Sustainability. 2021; 13 (16):8917.
Chicago/Turabian StyleNikolaos E. Karkalos; Panagiotis Karmiris-Obratański; Rafał Kudelski; Angelos P. Markopoulos. 2021. "Experimental Study on the Sustainability Assessment of AWJ Machining of Ti-6Al-4V Using Glass Beads Abrasive Particles." Sustainability 13, no. 16: 8917.
Abrasive waterjet cutting is a well-established non-conventional technique for the processing of difficult-to-cut material and rendering of various complex geometries with high accuracy. However, as in every machining process, it is also required that high efficiency and productivity are achieved. For that reason, in the present study, the effect of performing the machining process by multiple passes is investigated, and the evaluation of this approach is performed in terms of total depth of penetration, kerf width, kerf taper angle, mean material removal rate, and cutting efficiency. In the case of multiple passes, the passes are performed in the same direction with the traverse speed adjusted accordingly in order to maintain the total machining time constant in each case. From the experimental results, it was found that the effect of multiple passes on the kerf characteristics, mean material removal rate, and cutting efficiency depends on the process conditions, especially regarding the depth of penetration, and it is possible to achieve significantly higher efficiency by the multi-pass cutting technique when the appropriate process conditions are selected.
Panagiotis Karmiris-Obratański; Nikolaos E. Karkalos; Rafał Kudelski; Emmanouil L. Papazoglou; Angelos P. Markopoulos. On the Effect of Multiple Passes on Kerf Characteristics and Efficiency of Abrasive Waterjet Cutting. Metals 2021, 11, 74 .
AMA StylePanagiotis Karmiris-Obratański, Nikolaos E. Karkalos, Rafał Kudelski, Emmanouil L. Papazoglou, Angelos P. Markopoulos. On the Effect of Multiple Passes on Kerf Characteristics and Efficiency of Abrasive Waterjet Cutting. Metals. 2021; 11 (1):74.
Chicago/Turabian StylePanagiotis Karmiris-Obratański; Nikolaos E. Karkalos; Rafał Kudelski; Emmanouil L. Papazoglou; Angelos P. Markopoulos. 2021. "On the Effect of Multiple Passes on Kerf Characteristics and Efficiency of Abrasive Waterjet Cutting." Metals 11, no. 1: 74.
The article presents the application of artificial intelligence methods in the form of artificial neural networks (SSN) for modeling the geometrical state of a product shaped in the EDM process. The SSN with different architecture and different learning algorithms were implemented. The models' quality and their effectiveness in predicting some geometrical features of tool steel products were examined.
Halina Nieciąg; Rafał Kudelski; Krzysztof Zagórski. The use of artificial intelligence to model the geometric state of the surface after EDM machining of tool steels. AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 2018, 19, 570 -574.
AMA StyleHalina Nieciąg, Rafał Kudelski, Krzysztof Zagórski. The use of artificial intelligence to model the geometric state of the surface after EDM machining of tool steels. AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe. 2018; 19 (12):570-574.
Chicago/Turabian StyleHalina Nieciąg; Rafał Kudelski; Krzysztof Zagórski. 2018. "The use of artificial intelligence to model the geometric state of the surface after EDM machining of tool steels." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 12: 570-574.
The article presents the application of vibration measurement of the cutting head for the diagnostics of the state of the cutting process with high-pressure water jet. Data acquisition was performed when cutting wedge-shaped samples of S355J2H steel. The recorded signal was analyzed appropriately. In the summary part, conclusions from the research were drawn.
Rafał Kudelski; Halina Nieciąg; Krzysztof Zagórski. Investigation of diagnostic possibilities of the state cutting process of steel with high-pressure abrasive water jet. AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 2018, 19, 495 -499.
AMA StyleRafał Kudelski, Halina Nieciąg, Krzysztof Zagórski. Investigation of diagnostic possibilities of the state cutting process of steel with high-pressure abrasive water jet. AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe. 2018; 19 (12):495-499.
Chicago/Turabian StyleRafał Kudelski; Halina Nieciąg; Krzysztof Zagórski. 2018. "Investigation of diagnostic possibilities of the state cutting process of steel with high-pressure abrasive water jet." AUTOBUSY – Technika, Eksploatacja, Systemy Transportowe 19, no. 12: 495-499.