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Grzegorz Królczyk

Researcher at Opole University of Technology

Publications -  288
Citations -  7824

Grzegorz Królczyk is an academic researcher from Opole University of Technology. The author has contributed to research in topics: Machining & Computer science. The author has an hindex of 41, co-authored 198 publications receiving 4659 citations. Previous affiliations of Grzegorz Królczyk include University of Ljubljana & Opole University.

Papers
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Journal ArticleDOI

Analysis of the Deviation in a Low-Cost System for Stepless Digital Control of Conventional Lathe Spindle Speeds

TL;DR: In this paper, an innovative modernization of the main driveline of a TSB16 manual lathe is proposed, allowing for a cost-effective system for digital control of spindle speeds using an inverter.
Journal ArticleDOI

Progressive developments and challenges in dissimilar laser welding of steel to various other light alloys (Al/Ti/Mg): A comprehensive review

TL;DR: In this paper , a review of the recent trends of dissimilar laser welding and explore the scope of industry level applications is presented, highlighting the effect of shielding gas, welding speed, laser power, defocusing position, etc.
Book ChapterDOI

The Influence of EP/AW Addition in the MQL Method on the Parameters of Surface Geometrical Structure in the Process of Turning 316L Steel

TL;DR: In this article, the authors compared four cooling methods for turning austenitic steel: dry cutting, MQL, MQCL and MQL + EP/AW, and found that the MQL cooling method is a good alternative to dry cutting in machining of hard-to machine steels.
Journal ArticleDOI

Fusion Deconvolution for Reliability Analysis of A Flywheel-Battery Hybrid Energy Storage System

TL;DR: In this article , a new fusion deconvolution is proposed to perform reliability analysis on the hybrid flywheel-battery energy storage system, which is able to smooth the battery charging/discharging; harmful impact can be filtered by the flywheel to reduce battery damage and extend battery life.
Journal ArticleDOI

Measuring Shape Parameters of Pearls in Batches Using Machine Vision: A Case Study

TL;DR: In this paper , a method of contacting pearls segmentation based on the pit detection was proposed, where multiple pearl images were obtained by backlit imaging, the quality of the pearl images was improved through appropriate preprocessing, and the contacted pearl area was extracted by calculating the area ratio of the connected domains.