Cite

[1] Kohar, R., Madaj, R., Sasik R. & Gajdac I. (2018). Rapid prototyping technologies. EDIS – publishing center of the University of Zilina.Search in Google Scholar

[2] Sasik, R., Bastovansky R., Poljak S., Hoc. M. & Medvecky, S. (2016). The effect of the parameters settings of a 3D printing on the mechanical properties of the manufactured prototypes. In: ICMD 2016: book of proceedings of the 57th international conference of Machine design departments, 7-9 September 2016 (115-120). Železná Ruda, Czech republic: Pilsen: University of West Bohemia.Search in Google Scholar

[3] Pastircak, R., Krivos, E. & Lehocky, P. (2014). Using of the reverse engineering method for the production of prototype molds by patternless process technology. Archives of Foundry Engineering 2, 115-118. DOI 10.2478/afe-2014-0048.Open DOISearch in Google Scholar

[4] Bernat, Ł. & Kroma, A. (2019). Application of 3D printed casting models for DisaMatch forming method. Archives of Foundry Engineering19(4), 95-98. DOI: 10.24425/afe.2019.129637.Open DOISearch in Google Scholar

[5] Skorulski, G. (2016). 3DP Technology for the Manufacture of Molds for Pressure Casting. Archives of Foundry Engineering 3, 99-102. DOI: 10.1515/afe-2016-0058.Open DOISearch in Google Scholar

[6] Poljak, S., Bastovansky, R. & Podhora, P. (2018). Optimizing setting of open source fused deposition modeling 3D printer. In Current methods of construction design: The 59th International Conference of Machine Design Department, 11-14 September 2018 (pp. 489-501). Demänovská dolina, Slovakia: Springer.10.1007/978-3-030-33146-7_56Search in Google Scholar

[7] Hrcek, S. & Podhorsky J. (2004). Rapid prototyping versus CNC prototype manufacturing. Scientifics Papers of the Institute of Production Engineering and Automation of the Wrocław University of Technology. No. 85, 137-142.Search in Google Scholar

[8] Caesarendra, W., Pratama, M., Kosasih, B., Tjahjowidodo, T. & Glowacz, A. (2019) Parsimonious network based on a fuzzy inference system (PANFIS) for time series feature prediction of low speed slew bearing prognosis. Applied Sciences-Basel. 8 (12) 2656. DOI 10.3390/app8122656.Open DOISearch in Google Scholar

[9] Glowacz, A. (2018). Acoustic-based fault diagnosis of commutator motor. Electronics 7 (11) 299. DOI 10.3390/electronics7110299.Open DOISearch in Google Scholar

[10] Glowacz, A. (2018). Recognition of acoustic signals of commutator motors. Applied Sciences-Basel. 8 (12) 2630. DOI 10.3390/app8122630.Open DOISearch in Google Scholar

[11] Glowacz, A. (2019). Acoustic fault analysis of three commutator motors. Mechanical Systems and Signal Processing. 133 106226. DOI 10.1016/j.ymssp.2019.07.007.Open DOISearch in Google Scholar

[12] Chen, J.Y., Jing, L.M., Hong, T., Liu, H. & Glowacz, A. (2020) Research on a sliding detection method for an elevator traction wheel based on machine vision. Symmetry. 12 (7) 1158. DOI 10.3390/sym12071158.Open DOISearch in Google Scholar

[13] Irfan, M., Alwadie, A. & Glowacz, A. (2019) Design of a novel electric diagnostic technique for fault analysis of centrifugal pumps. Applied Sciences-Basel. 9 (23) 5093. DOI 10.3390/app9235093.Open DOISearch in Google Scholar

eISSN:
2336-3037
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Business and Economics, Business Management, Industries, Transportation, Logistics, Air Traffic, Shipping