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Friction Evaluation of Laser Textured Tool Steel Surfaces

REFERENCES 1. Aspinwall D.K., Wise M.L.H., Stout K.J. et al. (1996), Electrical discharge texturing, Int. Journal of Machine Tools & Manufacture , 32(1-2), 183-193. 2. Bizi-Bandoki P., Benayoun S., Valette S. et al. (2011), Modifications of roughness and wettability properties of metals induced by femtosecond laser treatment, Applied Surface Science , 257(12), 5213-5218. 3. Braun D., Greiner Ch., Schneider J. et al. (2014), Efficiency of laser surface texturing in the reduction of friction under mixed lubrication, Tribology

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Determination of Cutting Forces in Grinding with Crossed Axes of Tool and Workpiece

REFERENCES 1. Brinksmeire E. (2006), Advances in modeling and simulation of grinding processes, Annals of the CIRP , 55,667-696. 2. Chae J., Park S.S., Freiheit T. (2006), Investigation of micro-cutting operations. International Journal of Machine Tools & Manufacture , 46,313-332. 3. Chang, H.-C., Junz Wang, J.-J. (2008), A stochastic grinding force model considering random grit distribution, International Journal of Machine Tools & Manufacture , 48, 1335-1344. 4. Chee Keong Ng, Shreyes N. Melkote, M. Rahman, A. Senthil Kumar

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Crossing Axes of Workpiece and Tool at Grinding of the Circular Trough with Variable Profile

REFERENCES 1. Abidi H., Rezaei S.M., Sarhan A.A.D. (2013), Analitycal modeling of grinding wheel loading phenomena, International Journal of Advanced Manufacturing Technology , 68(1-4), 473-485. 2. Anderson D., Warkentin A., Bauer R. (2011), Experimental and numerical investigations of single abrasive-grain cutting, International Journal of Machine Tools & Manufacture , 51, 898-910. 3. Chang H.-C., Wang J.-J.J. (2008), A stochastic grinding force model considering random grit distribution, International Journal of Machine Tools

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Failure of Physical Vapour Deposition Coating Zirconium Nitride on the Punch of Clinching Tool

REFERENCES 1. Attar F., Johannesson T. (1996), Adhesion evaluation of thin ceramic coatings on tool steel using the scratch testing technique, Surface and Coatings Technology, 78, 87-102. 2. Chalker P.R., Bull S.J., Rickerby D.S. (1991), A review of the methods for the evaluation of coating-substrate adhesion, Materials Science and Engineering, A 140, 583-592. 3. Chen Ch., Zhao S., Cui M., Han X., Fan S., Ishida T. (2016), An experimental study on the compressing process for joining Al6061 sheets, Thin-Walled Structures , 108, 56

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Electronic Speckle Pattern Interferometry for Vibrational Analysis of Cutting Tools

REFERENCES 1. Augulis L., Tamulevicius S., Augulis R., Bonneville J., Goudeau P., Templier C. (2004), Electronic speckle pattern interferometry for mechanical testing of thin film, Optics and Lasers in Engineering , 42, 1–8. 2. Beeck M.A., Hentschel W. (2000), Laser metrology - a diagnostic tool in automotive development processes, Optics and Lasers in Engineering , 34(2), 101–120. 3. Blevins R.D. (2016), Formulas for Dynamics, Acoustics and Vibration , John Wiley & Sons, Ltd. 4. Chi-Hung H., Yu-Chih L., Chien-Ching M. (2004

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Data Mining Techniques as a Tool in Neurological Disorders Diagnosis

Abstract

Neurological disorders are diseases of the brain, spine and the nerves that connect them. There are more than 600 diseases of the nervous system, such as epilepsy, Parkinson's disease, brain tumors, and stroke as well as less familiar ones such as multiple sclerosis or frontotemporal dementia. The increasing capabilities of neurotechnologies are generating massive volumes of complex data at a rapid pace. Evaluating and diagnosing disorders of the nervous system is a complicated and complex task. Many of the same or similar symptoms happen in different combinations among the different disorders. This paper provides a survey of developed selected data mining methods in the area of neurological diseases diagnosis. This review will help experts to gain an understanding of how data mining techniques can assist them in neurological diseases diagnosis and patients treatment.

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Digital Image Correlation Technique as a Tool for Kinematics Assessment of Structural Components

Abstract

The paper reports the results of tests carried out for kinematic properties determination of components under cyclic loading. DIC system called 5M PONTOS was employed to follow variations of displacement versus time. It was conducted by the use of markers stuck on selected sections of components tested. The results are presented in 2D and 3D coordinate systems expressing behaviour of such elements as: mechanical coupling device, boat frame and car engine. These data enabled to capture weak and strong sections of the component examined at various loading conditions.

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Increasing of Energy Efficiency of Spindles with Fluid Bearings

REFERENCES 1. Badescu V. (2015), Optimal profiles for one dimensional slider bearings under technological constraints, Tribology International, 90, 198-216. 2. Cao H, Zhang X., Chen X. (2017), The concept and progress of intelligent spindles: A review, International Journal of Machine Tools and Manufacture, 112, 21-52. 3. Chasalevris A., Dohnal F. (2016), Improving stability and operation of turbine rotors using adjustable journal bearings, Tribology International, 104, 369-382. 4. Diaz N., Redelsheimer E., Dornfeld D. (2011

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SELECTION OF OPTIMAL MACHINING STRATEGY IN THE MANUFACTURE OF ELEMENTS BOUNDED BY CURVILINEAR SURFACES

References 1. Agrawal R., Pratihar D., Choudhury A. (2006), Optimization of CNC isoscallop free form surface machining using a genetic algorithm, Machine Tools & Manufacture, 46, 811-819. 2. Choi Y., Banerjee A. (2007), Tool path generation and tolerance analysis for free-form surfaces, Machine Tools & Manufacture, 47, 689-696. 3. Czerech Ł., Kaczyński R. (2013), Influence of CNC machine tool technical condition on the geometrical accuracy of freeform surfaces, Solid State Phenomena, Mechatronic systems

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Surface Layer Properties of Low-Alloy High-Speed Steel after Grinding

REFERENCES 1. Abidi H., Rezaei S.M., Sarhan A.A.D. (2013), Analitycal modeling of grinding wheel loading phenomena, International Journal of Advanced Manufacturing Technology , 68(1-4), 473-485. 2. Arsecularatne J.A., Zhang L.C., Montross C. (2006), Wear and tool life of tungsten carbide, PCBN and PCD cutting tools, International Journal of Machine Tools and Manufacture , 46(5), 482-491. 3. Bonek M. (2014), The investigation of microstructures and properties of high speed steel HS6-5-2-5 after laser alloying, Archives of Metallurgy and

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