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Michał Szydłowski

Researcher at West Pomeranian University of Technology

Publications -  24
Citations -  368

Michał Szydłowski is an academic researcher from West Pomeranian University of Technology. The author has contributed to research in topics: Environmental science & Geology. The author has an hindex of 6, co-authored 16 publications receiving 238 citations. Previous affiliations of Michał Szydłowski include Imperial College London.

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A study on droplets sizes, their distribution and heat exchange for minimum quantity cooling lubrication (MQCL)

TL;DR: In this paper, the influence of emulsion mist formation parameters and the nozzle distance from the tool-chip interface, on the droplet velocity at the nozzle outlet, on active medium atomization angle as well as on the diameter and number of droplets supplied to the cutting zone was analyzed.
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Machine vision micro-milling tool wear inspection by image reconstruction and light reflectance

TL;DR: In this paper, an original Wavelet-based Extended Depth of Field image reconstruction is proposed to locate the cutting edges of a micro-milling tool with variable light intensity during image acquisition to detect regions of different reflective properties.
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Serum folate concentration and the incidence of lung cancer.

TL;DR: Lower serum folate concentrations were associated with a higher risk of lung cancer diagnosis in this case-control study, adding to the evidence that circulating folate levels may be an indicator of Lung cancer risk.
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Comparison of Early Effectiveness of Three Different Intervention Methods in Patients with Chronic Orofacial Pain: A Randomized, Controlled Clinical Trial.

TL;DR: Occlusal appliances in conjunction with NSAID showed better orofacial pain relief after 3 weeks of therapy, compared to the use of occlusal appliance alone or in conjunctionWith dry needling.
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Chatter detection algorithm based on machine vision

TL;DR: In this paper, an error map of the examined surface and highlight the regions of probable imperfections was designed based on local gradient estimation, applied in respect to milling parameters, and estimated local gradient directions were used to calculate the ridge/valley orientations of the machined surface.