How to search?
advanced search

Search results

Filters

  • Journals
  • Autorzy
  • Słowa kluczowe
  • Date
  • Typ

Search results

Number of results: 4
items per page: 25 50 75
Sort by:

Experimental modeling of the milling process of aluminum alloys used in the aerospace industry

Aurel Mihail Titu Alina Bianca Pop Marcin Nabiałek Camelia Cristina Dragomir Andrei Victor Sandu
Bulletin of the Polish Academy of Sciences Technical Sciences | 2021 | 69 | 5 | e138565 | DOI: 10.24425/bpasts.2021.138565
Keywords mathematical modeling experimental research process parameters machined surface quality quality assurance
Download PDF Download RIS Download Bibtex

Abstract

This research presents an experimental study carried out for the modeling and optimization of some technological parameters for the machining of metallic materials. Certain controllable factors were analyzed such as cutting speed, depth of cut, and feed per tooth. A dedicated research methodology was used to obtain a model which subsequently led to a process optimization by performing a required number of experiments utilizing the Minitab software application. The methodology was followed, and the optimal value of the surface roughness was obtained by the milling process for an aluminum alloy type 7136-T76511. A SECO cutting tool was used, which is standard in aluminum machining by milling. Experiments led to defining a cutting regime that was optimal and which shows that the cutting speed has a significant influence on the quality of the machined surface and the depth of cut and feed per tooth has a relatively small impact on the chosen ranges of process parameters.
Go to article

Bibliography

  1.  B. Reddy, J. Sidda, Suresh Kumar, and K. Vijaya Kumar Reddy, “Optimization of surface roughness in CNC end milling using response surface methodology and genetic algorithm”, Int. J. Eng. Sci. Technol., vol. 3, no. 8, pp. 102‒109, 2011.
  2.  N.V. Prajina, “Multi-response optimisation of CNC end milling using response surface methodology and desirability function”, Int. J. Eng. Res. Technol., vol. 6, no. 6, pp. 739‒746, 2013.
  3.  K.V. Raju, K. Murali, G.R.Janardhana, P.N. Kumar, and V.D.P. Rao, “Optimization of cutting conditions for surface roughness in CNC end milling”, Int. J. Precis. Eng. Manuf., vol. 12, no. 3, pp. 383‒391, 2011.
  4.  S. Patel, Bharat, and H. Pal, “Optimization of machining parameters for surface roughness in milling operation”, Int. J. Applied Eng. Res., vol. 7, no. 11, 2012.
  5.  A.M. Ț î țu and A.B. Pop, “A Comparative Analysis of the Machined Surfaces Quality of an Aluminum Alloy According to the Cutting Speed and Cutting Depth Variations”, Lecture Notes in Network and Systems: New Technologies, Development and Application , vol II, no. 76, pp. 212‒218, 2019.
  6.  A.B. Pop and A.M. Ț î țu, “A Comparative Analysis of the Machined Surfaces Quality of an Aluminum Alloy According to the Cutting Speed and Feed per Tooth Variations”, Lecture Notes in Network and Systems: New Technologies, Development and Application, vol II, no. 76, 238‒244, 2019.
  7.  A.M. Ț îțu, A.V. Sandu, A.B. Pop, Ș. Țîțu, and T.C. Ciungu, “The Taguchi Method application to improve the quality of a sustainable process”, IOP Conf. Ser.: Mater. Sci. Eng., vol. 374, p. 012054, 2018.
  8.  A. Abdallah, B. Rajamony, and A. Embark, “Optimization of cutting parameters for surface roughness in CNC turning machining with aluminum alloy 6061 material” Optimization, vol 4, no. 10, pp. 1‒10, 2014.
  9.  K. Kadirgama, M.M. Noor, M.M. Rahman, M.R.M. Rejab, Ch.H. CheHaron, and K. A. Abou-El-Hossein,“Surface roughness prediction model of 6061-T6 aluminium alloy machining using statistical method”Euro. J. Sci. Res., vol. 25, no. 2, pp. 250‒256, 2009.
  10.  Q. Arsalan, S. Nisar, and A. Shah, M.S. Khalid, and M.A. Sheikh, “Optimization of process parameters for machining of AISI-1045 steel using Taguchi design and ANOVA”, Simul. Modell. Pract. Theory, vol 59, pp. 36‒51, 2015.
  11.  F.Kahraman, “The use of response surface methodology for the prediction and analysis of surface roughness of AISI 4140 steel”, Mater. Technol., vol. 43, pp. 267–270, 2009.
  12.  B.C. Routara, A. Bandyopadhyay, and P. Sahoo, “Roughness modeling and optimization in CNC end milling using response surface method: effect of workpiece material variation”, Int. J. Adv. Manuf. Technol. , vol 40, no. 11‒12, pp. 1166‒1180, 2009.
  13.  P. Sahoo, “Optimization of turning parameters for surface roughness using RSM and GA”, Adv. Prod. Eng. Manag., vol. 6 no. 3, pp. 197– 208, 2011.
  14.  R.H. Myers and D.C. Montgomery, “Response surface methodology process and product optimization using designed experiments”, John Wiley and Sons, New York, 2002.
  15.  G.E.P Box and N.R. Draper, “Response surface mixtures and ridge analysis”, John Wiley and Sons, New Jersey, 2007.
  16.  R.H. Myers, D.C. Montgomery, and C. M. Anderson-Cook, “Response surface methodology: process and product optimization using designed experiments”, John Wiley & Sons, Inc, 2016.
  17.  T.Prvan and D.J. Street, “An annotated bibliography of application papers using certain classes of fractional factorial and related designs”, J. Stat. Plann. Inference, vol. 106, pp. 245‒269, 2002.
  18.  A.M. Țîțu et al., “Design of Experiment in the Milling Process of Aluminum Alloys in the Aerospace Industry”, Appl. Sci., vol. 10, p. 6951, 2020.
  19.  M. Kuntoğlu, A. Aslan, D.Y. Pimenov, K. Giasin, T. Mikolajczyk, and S. Sharma, “Modeling of Cutting Parameters and Tool Geometry for Multi-Criteria Optimization of Surface Roughness and Vibration via Response Surface Methodology in Turning of AISI 5140 Steel”, Materials, vol. 13, p. 4242, 2020.
  20.  X. Li, Z. Liu, and X. Liang, “Tool Wear, Surface Topography, and Multi-Objective Optimization of Cutting Parameters during Machining AISI 304 Austenitic Stainless Steel Flange”, Metals, vol. 9, p. 972, 2019.
  21.  Y. Su, G. Zhao, Y. Zhao, J. Meng, and C. Li, “Multi-Objective Optimization of Cutting Parameters in Turning AISI 304 Austenitic Stainless Steel”, Metals, vol. 10, p. 217, 2020.
  22.  A. Ahmad, M.A. Lajis, N.K. Yusuf, and S.N. Ab Rahim, “Statistical Optimization by the Response Surface Methodology of Direct Recycled Aluminum-Alumina Metal Matrix Composite, MMC-AlR) Employing the Metal Forming Process”, Processes, vol. 8, p. 805, 2020.
  23.  A.K. Parida, and K. Maity, “Modeling of machining parameters a_ecting flank wear and surface roughness in hot turning of Monel-400 using response surface methodology, RSM)”, Measurement, vol. 137, pp. 375–381, 2019.
  24.  N.K. Sahu and A.B. Andhare, “Modelling and multiobjective optimization for productivity improvement in high-speed milling of Ti– 6Al–4V using RSM and GA”, J. Braz. Soc. Mech. Sci. Eng., vol. 39, pp. 5069–5085, 2017.
  25.  I. Asilturk, S. Neseli, and M.A. Ince, “Optimization of parameters affecting surface roughness of Co28Cr6Mo medical material during CNC lathe machining by using the Taguchi and RSM methods”, Measurement, vol. 78, pp. 120–128, 2016.
  26.  M. Beniyel, M. Sivapragash, S.C. Vettivel, P. Senthil Kumar, K.K. Ajith Kumar, and K. Niranjan, “Optimization of tribology parameters of AZ91D magnesium alloy in dry sliding condition using response surface methodology and genetic algorithm”, Bulletin of The Polish Academy of Sciences, Technical Sciences, vol. 69(1), 1‒10, 2021.
  27.  S.C. Cagan, M. Aci, B.B. Buldum, and C. Aci, “Artificial neural networks in mechanical surface enhancement technique for the prediction of surface roughness and microhardness of magnesium alloy”, Bull. Pol. Acad. Sci. Tech. Sci., vol. 67, no. 4, pp. 729‒739, 2019.
  28.  M. Nabiałek, “Influence of the quenching rate on the structure and magnetic properties of the Fe-based amorphous alloy”, Arch. Metall. Mater., vol. 61, no. 1, pp. 439–444, 2016.
  29.  J. Michalczyk, M. Nabiałek, and M. Szota, “Mathematical modelling of thermo-elasto-plastic problems and the solving methodology on the example of the tubular section forming process”, Arch. Metall. Mater., vol. 61, no. 3, pp. 1655–1662, 2016.
Go to article

Authors and Affiliations

Aurel Mihail Titu
1 2
ORCID: ORCID
Alina Bianca Pop
3
ORCID: ORCID
Marcin Nabiałek
4
ORCID: ORCID
Camelia Cristina Dragomir
2 5
Andrei Victor Sandu
6 7
ORCID: ORCID
  1. Lucian Blaga University of Sibiu, 10 Victoriei Street, 550024, Sibiu, Romania
  2. The Academy of Romanian Scientists, 54 Splaiul Independenței, Sector 5, 050085, Bucharest, Romania
  3. Technical University of Cluj-Napoca, 62A Victor Babeș Street, Baia Mare, Romania
  4. Department of Physics, Częstochowa University of Technology, Al. Armii Krajowej 19, 42-200 Częstochowa, Poland
  5. Transilvania University of Brasov, 500036 Brasov, Romania
  6. Gheorghe Asachi Technical University, Blvd. D. Mangeron 71, 700050 lasi, Romania
  7. Romanian Inventors Forum, Str. Sf. P. Movila 3, 700089 Iasi, Romania

Non-fragile event-triggered control of positive switched systems with random nonlinearities and controller perturbations

Yanqi Wu Junfeng Zhang Shizhou Fu
Bulletin of the Polish Academy of Sciences Technical Sciences | 2021 | 69 | 5 | e138566 | DOI: 10.24425/bpasts.2021.138566
Keywords positive switched systems non-fragile event-triggered control random nonlinearities random controller perturbations
Download PDF Download RIS Download Bibtex

Abstract

This paper investigates the non-fragile event-triggered control of positive switched systems with random nonlinearities and controller perturbations. The random nonlinearities and controller perturbations are assumed to obey Bernoulli and Binomial sequence, respectively. A class of linear event-triggering conditions is introduced. A switched linear co-positive Lyapunov function is constructed for the systems. For the same probability with respect to nonlinearities and controller perturbations in each subsystem, a non-fragile controller of positive switched systems is designed in terms of linear programming. Then, the different probability case is considered and the corresponding non-fragile event-triggered control is explored. Finally, the effectiveness of theoretical findings is verified via two examples.
Go to article

Bibliography

  1.  L. Fainshil, M. Margaliot, and P. Chigansky, “On the stability of positive linear switched systems under arbitrary switching laws,” IEEE Trans. Autom. Contr., vol. 54, no. 4, pp. 897–899, 2009.
  2.  T. Kaczorek, “Simple sufficient conditions for asymptotic stability of positive linear systems for any switchings,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 61, no. 2, pp. 343–347, 2013.
  3.  J. Zhang, Z. Han, and F. Zhu, “L1-gain analysis and control synthesis of positive switched systems,” Int. J. Syst. Sci., vol.  46, no. 12, pp. 2111–2121, 2015.
  4.  T. Kaczorek, “Global stability of positive standard and fractional nonlinear feedback systems,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 68, no. 2, pp. 285–288, 2020.
  5.  H. Yang and Y. Hu, “Stability and stabilization of positive linear dynamical systems: new equivalent conditions and computations,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 68, no. 2, pp. 307‒315, 2020.
  6.  L. Farina and S. Rinaldi, Positive linear systems: theory and applications. John Wiley and Sons, 2011.
  7.  T. Kaczorek, Positive 1D and 2D systems. Springer Science and Business Media, 2012.
  8.  J. Lam et al., Positive Systems. Springer, 2019.
  9.  E. Hernandez-Vargas et al., “Discrete-time control for switched positive systems with application to mitigating viral escape,” Int. J. Robust Nonlinear Contr., vol. 21, no.  10, pp. 1093–1111, 2011.
  10.  L. Gurvits, R. Shorten, and O. Mason, “On the stability of switched positive linear systems,” IEEE Trans. Autom. Contr., vol. 52, no. 6, pp. 1099–1103, 2007.
  11.  E. Fornasini and M. Valcher, “Stability and stabilizability criteria for discrete-time positive switched systems,” IEEE Trans. Autom. Contr., vol. 57, no. 5, pp. 1208‒1221, 2011.
  12.  J. Zhang et al., “Stability and stabilization of positive switched systems with mode-dependent average dwell time,” Nonlinear Anal.-Hybrid Syst., vol. 9, pp. 42–55, 2013.
  13.  J. Klamka, A. Czornik, and M. Niezabitowski, “Stability and controllability of switched systems,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 61, no. 3, pp. 547–555, 2013.
  14.  O. Mason and R. Shorten, “On linear copositive Lyapunov functions and the stability of switched positive linear systems,” IEEE Trans. Autom. Contr., vol. 52, no. 7, pp. 1346–1349, 2007.
  15.  F. Blanchini, P. Colaneri, and M. Valcher, “Co-positive Lyapunov functions for the stabilization of positive switched systems,” IEEE Trans. Autom. Contr., vol. 57, no. 12, pp. 3038–3050, 2012.
  16.  X. Liu, “Stability analysis of switched positive systems: A switched linear copositive Lyapunov function method,” IEEE Trans. Circuits Syst. II-Express Briefs, vol. 56, no. 5, pp. 414– 418, 2009.
  17.  M. Li et al., “Nonfragile reliable control for positive switched systems with actuator faults and saturation,” Optim. Contr. Appl. Met., vol. 40, no. 4, pp. 676–690, 2019.
  18.  J. Zhang, X. Zhao, and R. Zhang, “An improved approach to controller design of positive systems using controller gain decomposition,” J. Franklin Inst., vol. 354, no. 3, pp. 1356–1373, 2017.
  19.  R.C. Dorf, M. Farren, and C. Phillips, “Adaptive sampling frequency for sampled-data control systems,” IEEE Trans. Autom. Contr., vol. 7, no. 1, pp. 38–47, 1962.
  20.  P. Li et al., “Dynamic event-triggered control for networked switched linear systems,” in 2017 36th Chin. Contr. Conf., 2017, pp. 7984– 7989.
  21.  Y. Qi, P. Zeng, and W. Bao, “Event-triggered and self-triggered H1 control of uncertain switched linear systems,” IEEE Trans. Syst. Man Cybern. Syst., pp. 1–13, 2018.
  22.  S. Xiao, Y. Zhang, and B. Zhang, “Event-triggered networked fault detection for positive Markovian systems,” Signal Process., vol. 157, pp. 161–169, 2019.
  23.  Y. Yin et al., “Event-triggered constrained control of positive systems with input saturation,” Int. J. Robust Nonlinear Contr., vol. 28, no. 11, pp. 3532–3542, 2018.
  24.  L. Liu et al., “Event-triggered control of positive switched systems based on linear programming,” IET Control Theory A., vol. 14, no. 1, pp. 145–155, 2020.
  25.  H. Yang et al., “Non-fragile control of positive Markovian jump systems,” J. Frankl. Inst.-Eng. Appl. Math., vol. 356, no. 5, pp. 2742–2758, 2019.
  26.  J. Zhang, T. Raïssi, and S. Li, “Non-fragile saturation control of nonlinear positive Markov jump systems with time-varying delays,” Nonlinear Dyn., vol. 97, no. 1, pp. 1–19, 2019.
  27.  D. Ding et al., “H1 state estimation for discrete-time complex networks with randomly occurring sensor saturations and randomly varying sensor delays,” IEEE Trans. Neural Netw. Learn. Syst., vol. 23, no. 5, pp. 725–736, 2012.
  28.  W. He et al., “Almost sure stability of nonlinear systems under random and impulsive sequential attacks,” IEEE Trans. Autom. Contr., vol. 65, no. 9, pp. 3879–3886, 2020.
  29.  J. Hu et al., “On state estimation for nonlinear dynamical networks with random sensor delays and coupling strength under event-based communication mechanism,” Informa. Sciences, vol. 511, pp. 265–283, 2020.
  30.  J. Hu et al., “On co-design of filter and fault estimator against randomly occurring nonlinearities and randomly occurring deception attacks,” Int. J. Gen. Syst., vol.  45, no. 5, pp. 619–632, 2016.
  31.  J. Zhang et al., “Adaptive event-triggered communication scheme for networked control systems with randomly occurring nonlinearities and uncertainties,” Neurocomputing, vol. 174, pp. 475–482, 2016.
  32.  Z. Wang, Y. Wang, and Y. Liu, “Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time delays,” IEEE Trans. Neural Netw., vol. 21, no. 1, pp. 11–25, 2009.
  33.  J. Zhang, X. Zhao, and X. Cai, “Absolute exponential L1-gain analysis and synthesis of switched nonlinear positive systems with time- varying delay,” Appl. Math. Comput., vol. 284, pp. 24–36, 2016.
  34.  J. Zhang, H. Yang, and T. Rassi, “Stability analysis and saturation control for nonlinear positive Markovian jump systems with randomly occurring actuator faults,” Int. J. Robust Nonlinear Contr., vol. 30, no. 13, pp. 5062–5100, 2020.
  35.  M.A. Rami, U. Helmke, and F. Tadeo, “Positive observation problem for linear time-delay positive systems,” in proceedings of 15th IEEE Med. Conf. Contr. Autom., 2007, pp. 5004–5009.
  36.  P. Bolzern and P. Colaneri, “Positive Markov jump linear systems,” Found. Trends Syst. Contr., vol. 2, no. 3, pp. 275–427, 2015.
  37.  D. Li et al., “Threshold dynamics and ergodicity of an SIRS epidemic model with Markovian switching,” J. Differ. Equ., vol. 263, no. 12, pp. 8873–8915, 2017.
Go to article

Authors and Affiliations

Yanqi Wu
1
Junfeng Zhang
1
Shizhou Fu
1
  1. School of Automation, Hangzhou Dianzi University, Hangzhou 310018, China

High performance optical shutter design with scalable aperture

Piotr Pokryszka Mateusz Wośko Wojciech Kijaszek Regina Paszkiewicz
Bulletin of the Polish Academy of Sciences Technical Sciences | 2021 | 69 | 5 | e138236 | DOI: 10.24425/bpasts.2021.138236
Keywords optical shutter numerical simulation current source jitter
Download PDF Download RIS Download Bibtex

Abstract

In this paper, design, construction and switching parameters of a self-made optical shutter with scalable aperture were reported. The aim of the study was to obtain the shortest possible switching times, minimum shutter open time and comparable with commercial shutter, the switch-on and switch-off times. For this purpose, numerical simulations were performed using Comsol Multiphysics 5.4. The design of the shutter and the control system have been optimized accordingly to the obtained results of numerical simulations. The optimized design was fabricated in a professional mechanical workshop and operational parameters of the constructed device were investigated. The switching parameters of the shutter, such as opening time, closing time, minimum shutter open time and other parameters were measured. The values of the parameters were determined from a statistical analysis of a sample consisting of 10,000 measurement results. The performed characterization showed that the tested device has the opening time of 0.8 ms, while the closing time is approximately 1 ms. The designed device is characterized by the minimum shutter open time of 6.4 ms.
Go to article

Bibliography

  1.  H. Jo and D. Kim, “Observations of in vivo laser tissue ablation in animal models with different chromophores on the skin and modulating duration per laser exposure,” Lasers Med. Sci., vol. 34, no. 5, pp. 1031–1039, 2019.
  2.  T. Osuch, P. Gąsior, K. Markowski, and K. Jędrzejewski, “Development of fiber bragg gratings technology and their complex structures for sensing, telecommunications and microwave photonics applications,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 62, no. 4, pp. 627–633, 2014.
  3.  W. Lamperska, J. Masajada, S. Drobczyński, and P. Gusin, “Two-laser optical tweezers with a blinking beam,” Opt. Lasers Eng., vol. 94, pp. 82–89, 2017.
  4.  H. Kim, W.-K. Lee, D.-H. Yu, M.-S. Heo, C. Park, S. Lee, and Y. Lee, “Atom shutter using bender piezoactuator,” Rev. Sci. Instrum., vol. 88, no. 2, 2017.
  5.  C. Colquhoun, A. Di Carli, S. Kuhr, and E. Haller, “Note: A simple laser shutter with protective shielding for beam powers up to 1 w,” Rev. Sci. Instrum., vol. 89, no. 12, 2018.
  6.  Thorlabs, “Optical shutters,” https://www.thorlabs.com/ newgrouppage9.cfm?objectgroup_id=927, (Accessed on 20/02/2021).
  7.  K. Singer, S. Jochim, M. Mudrich, A. Mosk, and M. Weidemüller, “Low-cost mechanical shutter for light beams,” Rev. Sci. Instrum., vol. 73, no. 12, pp. 4402–4404, 2002.
  8.  L.P. Maguire, S. Szilagyi, and R. E. Scholten, “High performance laser shutter using a hard disk drive voice-coil actuator,” Rev. Sci. Instrum., vol. 75, no. 9, pp. 3077–3079, 2004.
  9.  W. Bowden, I.R. Hill, P.E.G. Baird, and P. Gill, “Note: A highperformance, low-cost laser shutter using a piezoelectric cantilever actuator,” Rev. Sci. Instrum., vol. 88, no. 1, p. 016102, 2017.
  10.  P.-W. Huang, B. Tang, Z.-Y. Xiong, J.-Q. Zhong, J. Wang, and M.-S. Zhan, “Note: A compact low-vibration high-performance optical shutter for precision measurement experiments,” Rev. Sci. Instrum., vol. 89, no. 9, 2018.
  11.  G.H. Zhang, B. Braverman, A. Kawasaki, and V. Vuletić, “Note: Fast compact laser shutter using a direct current motor and threedimensional printing,” Rev. Sci. Instrum., vol. 86, no. 12, p. 126105, 2015.
  12.  S. Martínez, L. Hernández, D. Reyes, E. Gomez, M. Ivory, C Davison, and S. Aubin, “Note: Fast, small, and low vibration mechanical laser shutters,” Rev. Sci. Instrum., vol. 82, no. 4, p. 046102, 2011.
  13.  Newport, “Electronic fast shutters,” https://www.newport.com/f/electronic-fast-shutters, (Accessed on 20/02/2021).
Go to article

Authors and Affiliations

Piotr Pokryszka
1
ORCID: ORCID
Mateusz Wośko
1
ORCID: ORCID
Wojciech Kijaszek
1
ORCID: ORCID
Regina Paszkiewicz
1
ORCID: ORCID
  1. Wrocław University of Science and Technology, wybrzeze Stanislawa Wyspianskiego 27, 50-370 Wroclaw, Poland

Dynamics of autonomous rock electromagnetic radiation measurement instrumentation

Remigiusz Mydlikowski Krzysztof Maniak
Bulletin of the Polish Academy of Sciences Technical Sciences | 2021 | 69 | 5 | e138567 | DOI: 10.24425/bpasts.2021.138567
Keywords electromagnetic fields EM receiver rock destruction dynamics of operation
Download PDF Download RIS Download Bibtex

Abstract

The paper analyzes the operation of innovative composite measurement instrumentation for spontaneous electromagnetic emission. The designed receiver measures and records both components of the EM field emitted by rocks subjected to increased mechanical stress. The range of signals transmitted by the receiver system and its dynamics were determined. A receiver was used to observe electromagnetic signals generated during a hard coal sample crushing in laboratory conditions. Test results confirmed the high dynamic range of the system at 98 dB and the ability to observe signals over a range of frequencies up to 50 kHz. The experimental results confirm the signal bandwidth characteristic of coal mine EM field emission obtained in earlier studies. The constructed autonomous receiver can be used in mine workings as a complementary warning system for emerging mine hazards.
Go to article

Bibliography

  1.  M. Akgun, “Coal mine accidents,” Turk Thorac Journal, vol. 16, no. 1, pp. s1–s2, 2015, doi: 10.5152/ttd.2015.008.
  2.  A. Tubis, S. Werbińska-Wojciechowska, and A. Wróblewski, “Risk assessment methods in mining industry – A systematic review,” Appl. Sci., vol. 10, pp.1‒34, 2020, doi: 10.3390/app10155172.
  3.  J.L.X. Meng, Y. Wang, and Z. Yang, “Prediction of coal seam details and mining safety using multicomponent seismic data: A case history from China,” Geophysics, vol. 81, no. 5 (September – October), pp. 149–165, 2016, doi: 10.1190/GEO2016-0009.1.
  4.  Y. Wang, N. Fu, X. Lu, and Z. Fu, “Application of a new geophone and geometry in tunnel seismic detection,” Sensors, vol.  19, p. 1246, 2019, doi: 10.3390/s19051246.
  5.  R.M. Bhattacharjeeb, A.K. Dasha, and P.S. Paulb, “A root cause failure analysis of coal dust explosion disaster – Gaps and lessons learnt,” Eng. Fail. Anal., vol. 111, pp. 1‒17, 2020, doi: 10.1016/j.engfailanal.2019.104229.
  6.  M. Li et al., “Piezoelectric effect and ignition properties of coal mine roof sandstone deformation and fracture,” Fuel, vol. 290, pp. 1‒9, 2021, doi: 10.1016/j.fuel.2020.120007.
  7.  M. Hayakawa, “Earthquake precursor studies in Japan” in Pre‐Earthquake Processes, Wiley, pp.7‒18, 2018, doi: 10.1002/ 9781119156949.ch2.
  8.  B. Kunar, “Risk assessment for disaster management in underground coal mines,” Indian Miner. Ind. J., vol. 11, pp.  113‒119, 2015.
  9.  G.-J. Liu, C.-P. Lu, H.-Y. Wang, P.-F. Liu, and Y. Liu, “Warning method of coal bursting failure danger by electromagnetic radiation,” Shock Vib., vol. 2015, p. 583862, 2015, doi: 10.1155/2015/583862.
  10.  E. Wang, H. Jia, D. Song, N. Li, and W. Qian, “Use of ultra-low-frequency electromagnetic emission to monitor stress and failure in coal mines,” Int. J. Rock Mech. Min. Sci., vol. 70, pp. 16–25, 2014, doi: 10.1016/j.ijrmms.2014.02.004.
  11.  A.A. Panfilov, “The results of experimental studies of VLF–ULF electromagnetic emission by rock samples due to mechanical action,” Nat. Hazards Earth Syst. Sci. Discuss., vol. 1, pp. 7821–7842, 2013, doi: 10.5194/nhessd-1-7821-2013.
  12.  Z. Shijiea, S. Xiaoyuanc, L. Chengwub, X. Xiaoxuan, and X. Zhuang, “The analysis of coal or rock electromagnetic radiation (EMR) signals based on Hilbert-Huang transform (HHT),” First International Symposium on Mine Safety Science and Engineering, Procedia Engineering, vol. 26, pp. 689‒698, 2011.
  13.  R. Mydlikowski and K. Maniak, “Measurement of electromagnetic field component emission as a precursor of emerging hazard in coal mines,” J. Telecomm. Inf.Technol., vol. 4, pp. 30‒35, 2019, doi: 10.26636/jtit.2020.145320.
  14.  A. Prałat, K. Maniak, and I. Pompura, “Electromagnetic phenomena in landslides,” Acta Geodynamica and Geomaterialia, vol.  2, no. 3, pp. 131‒138, 2005.
  15.  V. Frid, “Calculation of electromagnetic radiation criterion of rockburst hazard forecast in coal mines,” Pure Appl. Geophys., vol. 158, pp. 931‒944, 2001, doi: 10.1007/PL00001214.
  16.  V. Frid and K. Vozoff, “Electromagnetic radiation induced by mining rock failure,” Int. J. Coal Geol., vol. 64, pp. 57‒65, 2005, doi: 10.1016/j.coal.2005.03.005.
  17.  D. Lin-ming, L. Cai-ping, M. Zong-long, and G. Ming-shi, “Prevention and forecasting of rock burst hazards in coal mines,” Min. Sci. Technol., vol. 19, pp. 585–591, 2009, doi: 10.1016/S1674-5264(09)60109-5.
  18.  S.G. O’Keefe and D.Thiel, “Electromagnetic emissions during rock blasting,” Geophys. Res. Lett., vol. 18, no. 5, pp.  889‒892, 1991, doi: 10.1029/91GL01076.
  19.  P. Xiong et al., “Identification of electromagnetic pre-earthquake perturbations from the DEMETER data by machine learning,” Remote Sens., vol. 12, pp. 1‒27, 2020, doi: 10.3390/rs12213643.
  20.  A. Erturk and D.J. Inman, Piezoelectric Energy Harvesting, First Edition, John Wiley & Sons, Ltd. Published 2011, pp. 343‒344.
  21.  M. Krumbholz, M. Bock, S. Burchardt, U. Kelka, and A. Vollbrecht, “A critical discussion of the electromagnetic radiation (EMR) method to determine stress orientations within the crust,” Solid Earth, vol. 3, pp. 401‒414, 2012, doi: 10.5194/sed-4-993-2012.
  22.  A. Rabinovitch, V. Frid, D. Bahat ,and J. Goldbaum, “Decay mechanism of fracture induced electromagnetic pulses,” J. Appl. Phys., vol. 93, no. 9, pp 5085–5090, 2003, doi: 10.1063/1.1562752.
  23.  A. Rabinovitch, V. Frid, and D. Bahat, “Surface oscillations. A possible source of fracture induced electromagnetic radiation,” Tectonophysics, vol. 431, pp 15‒21, 2007, doi: 10.1016/j.tecto.2006.05.027.
  24.  A. Takeuchi and H. Nagahama, “Electric dipoles perpendicular to a stick-slip plane,” Phys. Earth Planet. Inter., vol.  155, pp. 208–218, 2006, doi: 10.1016/j.pepi.2005.12.010.
  25.  P. Koktavy and J. Sikula, “Physical model of electromagnetic emission in solids,” Proc. 26th Eur. Conf. Acous. Emission Testing EWGAE 2004, Berlin, Germany, 2004, pp. 899‒904.
  26.  S.K. Sharma, R. Kiran, A. Kumar, V.S. Chauhan, and R. Kumar, “A theoretical model for the electromagnetic radiation emission from hydrated cylindrical cement paste under impact,” J. Phys. Commun., vol. 2, no. 3, pp. 1‒12, 2018,
  27.  D. Miedzińska, T. Niezgoda, E. Małek, and D. Zasada, “Study on coal microstructure for porosity levels assessment,” Bull. Pol. Acad. Sci. Tech. Sci., vol. 61, no. 2, pp. 409‒505, 2013, doi: 10.2478/bpasts-2013-0049.
  28.  F. Zhao, Y. Li, Z. Ye, Y. Fan, S. Zhang, H. Wang, and Y. Liu, “Research on acoustic emission and electromagnetic emission characteristics of rock fragmentation at different loading rates,” Shock Vib., vol. 2018, p. 4680879, 2018, doi: 10.1155/2018/4680879.
  29.  Z. Loni, H. Espinosa, and D. Thiel, “Insulated wire fed floating monopole antenna for coastal monitoring,” Radioengineering, vol. 27, no. 1, pp. 127–133, 2018, doi: 10.13164/re.2018.0127.
  30.  V. Dyo, T. Ajmal, B. Allen, D. Jazani, and I. Ivanov, “Design of a ferrite rod antenna for harvesting energy from medium wave broadcast signals,” J. Eng., vol. 2013, no. 12, pp. 89–96, 2013, doi: 10.1049/joe.2013.0126.
  31.  T. Bolton and M.B. Cohen, “Optimal design of electrically-small loop receiving antenna,” Prog. Electromagn. Res. C, vol. 98, pp. 155–169, 2020, doi: 10.2528/PIERC19090911.
  32.  U. Tietze, Ch. Schenk, and E. Gamm, Electronic Circuits–Handbook for Design and Application, 2nd Edition. Springer, 2011, pp. 787‒841.
Go to article

Authors and Affiliations

Remigiusz Mydlikowski
1
ORCID: ORCID
Krzysztof Maniak
2
ORCID: ORCID
  1. Wroclaw University of Science and Technology, Faculty of Electronics, Photonics and Microsystems, ul. Janiszewskiego 11/17, 50-372 Wrocław, Poland
  2. National Institute of Telecommunications, ul. Szachowa 1, 04-894 Warsaw, Poland

This page uses 'cookies'. Learn more