[1]
S. Hašová, Ľ. Straka, Design and verification of software for simulation of selected quality indicators of machined surface after WEDM, Acad. J. of Manuf. Engineering 14/2 (2016) 13-20.
Google Scholar
[2]
A. Panda, M. Prislupčák, I. Pandová, Progressive technology diagnostic and factors affecting to machinability, Applied Mechanics and Materials 616 (2014) 183-190.
DOI: 10.4028/www.scientific.net/amm.616.183
Google Scholar
[3]
R. Kreheľ, Ľ. Straka, T. Krenický, Diagnostics of production systems operation based on thermal processes evaluation, Applied Mechanics and Materials 308 (2013) 121-126.
DOI: 10.4028/www.scientific.net/amm.308.121
Google Scholar
[4]
I. Čorný, Possibilities of application of computational intelligence in monitoring of heat production and supply, Key Eng. Mat. 669 (2016) 560-567.
DOI: 10.4028/www.scientific.net/kem.669.560
Google Scholar
[5]
Ľ. Straka, Analysis of Wire-Cut Electrical Discharge Machined Surface, LAP Lambert Academic Publishing, Germany, (2014).
Google Scholar
[6]
R. Majerník, J. Ružbarský, The impact of technological parameters of die casting to casting porosity, MM Science Journal 10 (2016) 1047-1050.
DOI: 10.17973/mmsj.2016_10_201623
Google Scholar
[7]
P. Monka, S. Hloch, A. Andrej, M. Šomšák, F. Murgaš, Simulation tools used at the injection mould design, Manuf. Technol. 16/3 (2016) 561-569.
DOI: 10.21062/ujep/x.2016/a/1213-2489/mt/16/3/561
Google Scholar
[8]
M. Rimár, M. Fedák, A. Kulikov, P. Šmeringai, Dependence of hardness of continues die-casting products on Fe content, MM Science Journal 11 (2016) 1201-1204.
DOI: 10.17973/mmsj.2016_11_201634
Google Scholar
[9]
A. Mičietová, M. Neslušan, M. Čilliková, Influence of surface geometry and structure after non-conventional methods of parting on the following milling operations, Manuf. Technol. 13 (2013) 199-204.
DOI: 10.21062/ujep/x.2013/a/1213-2489/mt/13/2/199
Google Scholar
[10]
K.S. Banker, S.P. Parmar, B.C. Parekh, Review to Performance Improvement of Die Sinking EDM Using Powder Mixed Dielectric Fluid, Int. J. Res. Modern Eng. Emerg. Tech. 1 (2013) 57-62.
Google Scholar
[11]
J. Dubják, J. Piteľ, M. Tóthová, Diagnostics of aluminum alloys melting temperature in high pressure casting, Key Eng. Mat. 669 (2016) 110-117.
DOI: 10.4028/www.scientific.net/kem.669.110
Google Scholar
[12]
J. Ružbarský, J. Paško, Š. Gašpár, Techniques of Die Casting, Lüdenscheid, RAM-Verlag, (2014).
Google Scholar
[13]
T. Krenický, Implementation of Virtual Instrumentation for Machinery Monitoring, in: Scientific Papers: Operation and Diagnostics of Machines and Production Systems Operational States: Vol. 4, RAM-Verlag, Lüdenscheid, 2011, pp.5-8.
Google Scholar
[14]
S.K. Saha, S.K. Chaudhary, Experimental investigation and empirical modeling of the dry electrical discharge machining process, Int. J. Mach. Tool. Manuf. 49 (2009) 297-308.
Google Scholar
[15]
M. Tóthová, M. Balara, J. Dubják, Simulation model of cascade control of the heating system, Int. J. Eng. Research in Africa 18 (2015) 20-27.
DOI: 10.4028/www.scientific.net/jera.18.20
Google Scholar
[16]
P. Semančo, M. Fedák, Assessment of material flow in foundry production by applying simulation analysis, Applied Mechanics and Materials 308 (2013) 185-189.
DOI: 10.4028/www.scientific.net/amm.308.185
Google Scholar
[17]
Ľ. Straka, I. Čorný, R. Kreheľ, Evaluation of capability of measuring device on the basis of diagnostics, Applied Mechanics and Materials 308 (2013) 69-74.
DOI: 10.4028/www.scientific.net/amm.308.69
Google Scholar
[18]
O.A. Abu Zeid, On the effect of electro-discharge machining parameters on the fatigue life of AISI D6 tool steel, J. Mater. Process. Technol. 68 (1997) 27-32.
DOI: 10.1016/s0924-0136(96)02523-x
Google Scholar
[19]
J. Duplák, M. Hatala, P. Michalik, Durability analysis for selected cutting tools in machining process of steel 16MoV6-3, Applied Mechanics and Materials 308 (2013) 133-139.
DOI: 10.4028/www.scientific.net/amm.308.133
Google Scholar
[20]
Ľ. Straka, S. Hašová, Assessing the influence of technological parameters on the surface quality of steel MS1 after WEDM, MM Science Journal 11 (2016) 1194-1200.
DOI: 10.17973/mmsj.2016_11_201629
Google Scholar
[21]
M. Prislupčák, A. Panda, M. Jančík et al., Diagnostic and experimental valuation on progressive machining unit, Applied Mechanics and Materials 616 (2014) 191-199.
DOI: 10.4028/www.scientific.net/amm.616.191
Google Scholar
[22]
A. Panda, J. Duplák, M. Hatala, Cutting ceramic durability in machining process of bearings steel 100Cr6, MM Science Journal 10 (2016) 1060-1065.
DOI: 10.17973/mmsj.2016_10_201633
Google Scholar
[23]
J. Marafona, C. Wykes, A new method of optimizing material removal rate using EDM with copper–tungsten electrodes, Int. J. Mach. Tools Manuf. 40 (2000) 153-164.
DOI: 10.1016/s0890-6955(99)00062-0
Google Scholar
[24]
P. Monka, K. Monková et al., Design and experimental study of turning tools with linear cutting edges and comparison to commercial tools, Int. J. Adv. Manuf. Tech. 85/9-12 (2016) 2325-2343.
DOI: 10.1007/s00170-015-8065-3
Google Scholar
[25]
C.H. Che Haron, Investigation on the influence of machining parameters when machining tool steel using EDM, J. Mater. Process. Technol. 1 (2001) 84-87.
DOI: 10.1016/s0924-0136(01)00846-9
Google Scholar
[26]
J. Dobránsky, L. Běhálek, P. Baron et al., Determination of the EOS Maragingsteel MS1 Material Resistance at Low Temperatures, Metalurgija 55/3 (2016) 449-452.
Google Scholar
[27]
X.L. Han, D.Y. Wu, X.L. Min et al., Influence of Post-Weld Heat Treatment on the Microstructure, Microhardness, and Toughness of a Weld Metal for Hot Bend, Metals 6 (2016).
DOI: 10.3390/met6040075
Google Scholar
[28]
P. Baron, J. Zajac, M. Pollák, The correlation of parameters measured on rotary machine after reparation of disrepair state, MM Science Journal 11 (2016) 1244-1248.
DOI: 10.17973/mmsj.2016_11_201667
Google Scholar
[29]
P. Baron, M. Kočiško, J. Dobránsky, M. Pollák, M. Telišková, Research and application of methods of technical diagnostics for the verification of the design node, Measurement 94 (2016) 245-253.
DOI: 10.1016/j.measurement.2016.07.089
Google Scholar
[30]
Z. Hutyrová, W. Makiela, P. Michalik et al., Creation of mathematical prescription of residual stress depending on various cutting conditions, Key Eng. Mat. 669 (2016) 126-133.
DOI: 10.4028/www.scientific.net/kem.669.126
Google Scholar
[31]
Ľ. Straka, I. Čorný, J. Piteľ, Properties evaluation of thin microhardened surface layer of tool steel after wire EDM, Metals 6/5 (2016) 1-16.
DOI: 10.3390/met6050095
Google Scholar
[32]
M. Kiyak, O. Cakir, Examination of machining parameters on surface roughness in EDM of tool steel, J. Mater. Process. Technol. 1-3 (2007) 41-144.
Google Scholar
[33]
S. Mathew, P.R.D. Varma, P.S. Kurian, Study on the Influence of process parameters on surface roughness and MRR of AISI 420 stainless steel machined by EDM, Int. J. Eng. Trends Technol. 2 (2014) 54-58.
DOI: 10.14445/22315381/ijett-v15p212
Google Scholar
[34]
M. Neslušan et al., Experimental methods in splinter machining, EDIS ŽU, Žilina, (2007).
Google Scholar
[35]
P. Stephen, P. S. Radzevich, R. Kreheľ, Application priority mathematical model of operating parameters in advanced manufacturing technology, Int. J. Adv. Manuf. Tech. 56/2 (2011) 835-840.
DOI: 10.1007/s00170-011-3221-x
Google Scholar
[36]
Š. Olejárová, T. Krenický, Monitoring the condition of the spindle of the milling machine using vibration, MM Science Journal 11 (2016) 1227-1231.
DOI: 10.17973/mmsj.2016_11_201653
Google Scholar
[37]
Ľ. Straka, I. Čorný, Heat Treating of Chrome Tool Steel before Electroerosion Cutting With Brass Electrode, Acta Metallurgica Slovaca 15/3 (2009) 180-186.
Google Scholar
[38]
P. Michalik, J. Zajac, M. Hatala, J. Duplák, D. Mitaľ, Comparison of programming production of thin walled parts using different CAM systems, MM Science journal 10 (2016) 1056-1059.
DOI: 10.17973/mmsj.2016_10_201632
Google Scholar
[39]
Ľ. Straka, I. Čorný, J. Piteľ, S. Hašová, Statistical Approach to Optimize the Process Parameters of HAZ of Tool Steel EN X32CrMoV12-28 after Die-Sinking EDM with SF-Cu Electrode, Metals 7/2 (2017) 1-22.
DOI: 10.3390/met7020035
Google Scholar
[40]
Ľ. Straka, S. Hašová, Prediction of the heat-affected zone of tool steel EN X37CrMoV5–1 after die-sinking electrical discharge machining, Proc Inst. Mech. B: J. Eng. Manuf. 9 (2016) 1-12.
DOI: 10.1177/0954405416667405
Google Scholar
[41]
M. Ťavodová, Research state heat affected zone of the material after wire EDM, Acta Fac. Tech. 19 (2014) 145-152.
Google Scholar
[42]
Ľ. Straka, S. Hašová, Study of tool electrode wear in EDM process, Key Eng. Mat. 669 (2016) 302-310.
DOI: 10.4028/www.scientific.net/kem.669.302
Google Scholar
[43]
M. Tóthová, M. Balara, J. Dubják, Simulation model of cascade control of the heating system, Int. J. Eng. Research in Africa 18 (2015) 20-27.
DOI: 10.4028/www.scientific.net/jera.18.20
Google Scholar
[44]
T. Krenický, Non-contact Study of Surfaces Created Using the AWJ Technology, Manufacturing Technology 15/1 (2015) 61-64.
DOI: 10.21062/ujep/x.2015/a/1213-2489/mt/15/1/61
Google Scholar
[45]
T. Krenický, Automated Non-Contact System for Characterization of Surface Geometry, in: Workshop ARTEP 2012: 22-24 February 2012, Stará Lesná, Košice: TU, 2012, pp.38-1/38-5.
Google Scholar