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Publikācija: Assessment of Surface Parameters of Machine Parts

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Nosaukums oriģinālvalodā Assessment of Surface Parameters of Machine Parts
Pētniecības nozare 2. Inženierzinātnes un tehnoloģijas
Pētniecības apakšnozare 2.5. Materiālzinātne
Pētniecības platforma Materiāli, procesi un tehnoloģijas
Pētījumam izmantotās RTU zinātniskās iekārtas
  • Stylus Type 3D Surface Profilometer
  • Pin-on-Disk Tribometer
Autori Oskars Liniņš
Irīna Boiko
Armands Leitāns
Jānis Lungevičs
Atslēgas vārdi texture, 3D-texture parameters, functional surfaces, tribology
Anotācija The research paper describes 3D texture parameter use for potential wear resistance calculations for machined parts. The quality of the machined part surface is one of the most significant aspects, which influence their functional properties, including wear resistance. The wear process for two mating parts is unavoidable, and ultimately, it results in system failure. Low wear resistance reduces the lifetime of machine components, which leads to considerable material losses, ineffective use of resources, and in extreme cases, could even lead to a significant disaster. Therefore, researches devoted to the machine part functional parameter improvement, in particular by using various surface coatings, are fundamental. The development of highly functional surface coatings includes surface quality control using the appropriate tools and characterization technique. Widely used 2D profilometry technique does not provide relevant information on the actual surface condition; thus, one must develop a better method. Use of 3D texture parameter combination instead of typical 2D parameters can noticeably improve surface characterization precision, but from more than thirty 3D parameters, only as few as 2-8 parameters suit for wear prediction calculations. This research paper offers the potentially best set of the most appropriate 3D-texture parameters for assessing the functional surfaces of machine parts. © 2020 Latvia University of Life Sciences and Technologies. All rights reserved.
DOI: 10.22616/ERDev2020.19.TF488
Hipersaite: http://www.tf.llu.lv/conference/proceedings2020/Papers/TF488.pdf 
Atsauce Liniņš, O., Boiko, I., Leitāns, A., Lungevičs, J. Assessment of Surface Parameters of Machine Parts. No: 19th International Scientific Conference "Engineering for Rural Development": Proceedings. Vol.19, Latvija, Jelgava, 20.-22. maijs, 2020. Jelgava: Latvia University of Life Sciences and Technologies, 2020, 1818.-1822.lpp. ISSN 1691-3043. Pieejams: doi:10.22616/ERDev2020.19.TF488
Papildinformācija Citējamību skaits:
  • Scopus  0
ID 31339