nach oben

International Journal on Interactive Design and Manufacturing (IJIDeM)

Erschienen in:

01.08.2018 | Original Paper

Surface roughness evaluation in hardened materials by pattern recognition using network theory

verfasst von: Matej Babič, Michele Calì, Ivan Nazarenko, Cristiano Fragassa, Sabahudin Ekinovic, Mária Mihaliková, Mileta Janjić, Igor Belič

Erschienen in: International Journal on Interactive Design and Manufacturing (IJIDeM) | Ausgabe 1/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Performance characteristics of the products made of metallic materials such as wear resistance, fatigue strength, stability of gaps and strain between the connections, corrosion resistance, etc., depend to a large extent by the quality of their surfaces roughness. An interactive control of the manufacturing parameters which influence the surface roughness is particularly crucial in the construction of many mechanical components. The present paper devises a new method for statistical pattern recognition on samples produced by the process of robot laser hardening using network theory and describes its application to the determination of surface roughness. The method is based on the analysis of SEM images. Indeed the data characterizing the state of surface irregularities detected as extremely small segments contain indicators of surface roughness. Different methods of machine learning techniques designed to predict the surface roughness of robot laser hardened material are discussed.

Vorheriger Artikel Knowledge acquisition development in failure diagnosis analysis as an interactive approach

Nächster Artikel Mechanical efficiency prediction methodology of the hypocycloid gear mechanism for internal combustion engine application

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Grum, J., Žerovnik, P., Šturm, R.: Measurement and analysis of residual stresses after laser hardening and laser surface melt hardening on flat specimens. In: Proceedings of the conference “Quenching’96”, Ohio, Cleveland (1996)

Zhai, C., Gan, Y., Hanaor, D., Proust, G., Retraint, D.: The role of surface structure in normal contact stiffness. Exp. Mech. 56(3), 359–368 (2016). https://doi.org/10.1007/s11340-015-0107-0 CrossRef

Calì, M., Oliveri, S.M., Sequenzia, G., Fatuzzo, G.: An effective model for the sliding contact forces in a multibody environment. Lecture Notes in Mechanical Engineering. Springer, Cham, pp. 675–685 (2017). www.springer.com/series/11236 https://doi.org/10.1007/978-3-319-45781-9_121

Krulikowski, A.: Fundamentals of Geometric Dimensioning and Tolerancing. Cengage Learning, Boston (2012)

Calì, M., Oliveri S. M., Ambu, R., Fichera, G.: An integrated approach to characterize the dynamic behaviour of a mechanical chain tensioner by functional tolerancing. Strojniški vestnik—J. Mech. Eng. 64(4), 245–257 (2018)

Abouelatta, O.B., Madl, J.: Surface roughness prediction based on cutting parameters and tool vibrations in turning operations. J. Mater. Process. Technol. 118(1–3), 269–277 (2001)CrossRef

Lai, J., Huang, H., Buising, W.: Effects of microstructure and surface roughness on the fatigue strength of high-strength steels. Procedia Struct. Integr. 2, 1213–1220 (2016)CrossRef

Wakuda, M., Yamauchi, Y., Kanzaki, S., Yasuda, Y.: Effect of surface texturing on friction reduction between ceramic and steel materials under lubricated sliding contact. Wear 254(3–4), 356–363 (2003)CrossRef

Ambu, R., Bertetto, A.M., Mazza, L.: Re-design of a guide bearing for pneumatic actuators and life tests comparison. Tribol. Int. 96, 317–325 (2016)CrossRef

10.

Petare, A.C., Jain, N.K.: On simultaneous improvement of wear characteristics, surface finish and microgeometry of straight bevel gears by abrasive flow finishing process. Wear 404–405, 38–49 (2018)CrossRef

11.

Boeing, G.: Visual analysis of nonlinear dynamical systems: chaos, fractals, self-similarity and the limits of prediction. Systems 4(4), 37 (2016). https://doi.org/10.3390/systems4040037 CrossRef

12.

Tai, Y., Yang, J., Luo, L., Zhang, F., Qian, J.: Learning discriminative singular value decomposition representation for face recognition. Pattern Recognit. 50, 1–16 (2016)CrossRef

13.

Bridge, J.P., Holden, S.B., Paulson, L.C.: Machine learning for first-order theorem proving. J. Autom. Reason. 53(2), 141–172 (2014)CrossRefMATH

14.

Grandjean, Martin: A social network analysis of twitter: mapping the digital humanities community. Cogent Arts Human. 3(1), 1171458 (2016). https://doi.org/10.1080/23311983.2016.1171458

15.

Yazdi, M., Hamzeh S.: Knowledge acquisition development in failure diagnosis analysis as an interactive approach. Int. J. Interact. Des. Manuf. (IJIDeM) 1–18 (2018). https://doi.org/10.1007/s12008-018-0504-6

16.

Vergnano, A., Berselli, G., Pellicciari, M.: Interactive simulation-based-training tools for manufacturing systems operators: an industrial case study. Int. J. Interact. Des. Manuf. (IJIDeM) 11(4), 785–797 (2017)CrossRef

17.

Mukattash, A.M., Tahboub, K.K., Adil, M.B.: Interactive design of cellular manufacturing systems, optimality and flexibility. Int. J. Interact. Des. Manuf. (IJIDeM) 12, 1–8 (2017)

18.

Li, J., Du, Q., Sun, C.: An improved box-counting method for image fractal dimension estimation. Pattern Recogn. 42(11), 2460–2469 (2009)CrossRefMATH

19.

Armstrong, J.: Scott: illusions in regression analysis. Int. J. Forecast. 28(3), 689 (2012)CrossRef

20.

Hansen, J.V., Lowry, P.B., Meservy, R.D., McDonald, D.M.: Genetic programming for prevention of cyberterrorism through dynamic and evolving intrusion detection. Decis. Support Syst. 43(4), 1362–1374 (2007). https://doi.org/10.1016/j.dss.2006.04.004.SSRN877981 CrossRef

21.

Ojha, V.K., Abraham, A., Snášel, V.: Metaheuristic design of feedforward neural networks: a review of two decades of research. Eng. Appl. Artif. Intell. 60, 97–116 (2017). https://doi.org/10.1016/j.engappai.2017.01.013 CrossRef

22.

Wenzel, F., Galy-Fajou, T., Deutsch, M., Kloft, M.: Bayesian nonlinear support vector machines for big data (PDF). Machine learning and knowledge discovery in databases (ECML PKDD). Archived (PDF) from the original on 2017-08-30

23.

Lewoniewski, W., Węcel, K., Abramowicz, W.: Quality and Importance of wikipedia articles in different languages. Information and software technologies. ICIST 2016. Commun. Comput. Inf. Sci. 639, 613–624 (2016). https://doi.org/10.1007/978-3-319-46254-7_50

24.

Malkov, Y., Ponomarenko, A., Krylov, V., Logvinov, A.: Approximate nearest neighbor algorithm based on navigable small world graphs. Inf. Syst. 45, 61–68 (2014)CrossRef

Titel: Surface roughness evaluation in hardened materials by pattern recognition using network theory
verfasst von: Matej Babič
Michele Calì
Ivan Nazarenko
Cristiano Fragassa
Sabahudin Ekinovic
Mária Mihaliková
Mileta Janjić
Igor Belič
Publikationsdatum: 01.08.2018
Verlag: Springer Paris
Erschienen in: International Journal on Interactive Design and Manufacturing (IJIDeM) / Ausgabe 1/2019
Print ISSN: 1955-2513
Elektronische ISSN: 1955-2505
DOI: https://doi.org/10.1007/s12008-018-0507-3

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 1/2019

Cross-reality environments in smart buildings to advance STEM cyberlearning

Design and project for special naval vessels: new developments and evolutions related to representation

VEN-3DVE: vision based egocentric navigation for 3D virtual environments

Methodology to study the comfort implementation for a new generation of hydrofoils

An interactive method for computer-aided optimal process tolerance design based on automated decision making

Mechanical efficiency prediction methodology of the hypocycloid gear mechanism for internal combustion engine application