메뉴 건너뛰기




Volumn 42, Issue 7, 2009, Pages 1074-1080

Neural network prediction of disc brake performance

Author keywords

Disc brake performance; Friction material; Neural network; Prediction

Indexed keywords

ARTIFICIAL NEURAL NETWORKS; AUTOMOTIVE BRAKES; BRAKE DISCS; DISC BRAKE PERFORMANCE; FRICTION PAIRS; INPUT PARAMETERS; MANUFACTURING CONDITIONS; MATERIAL COMPOSITIONS; NETWORK PREDICTIONS; NEURAL MODELS; OPERATING REGIMES; PREDICTION; SYNERGISTIC EFFECTS; TRIBOCHEMICAL PROPERTIES;

EID: 67349257795     PISSN: 0301679X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.triboint.2009.03.005     Document Type: Article
Times cited : (74)

References (20)
  • 1
  • 2
    • 0034544451 scopus 로고    scopus 로고
    • Tribological surfaces of organic brake pads
    • Eriksson M., and Jacobson S. Tribological surfaces of organic brake pads. Tribology International 33 (2000) 817-827
    • (2000) Tribology International , vol.33 , pp. 817-827
    • Eriksson, M.1    Jacobson, S.2
  • 3
    • 35648944258 scopus 로고    scopus 로고
    • Effects of ZrSiO4 in non-metallic brake friction materials on friction performance
    • Ma Y., Martynkova G.S., Valaskova M., Matejka V., and Lu Y. Effects of ZrSiO4 in non-metallic brake friction materials on friction performance. Tribology International 4 (2008) 166-174
    • (2008) Tribology International , vol.4 , pp. 166-174
    • Ma, Y.1    Martynkova, G.S.2    Valaskova, M.3    Matejka, V.4    Lu, Y.5
  • 4
    • 36348938828 scopus 로고    scopus 로고
    • The effect of phenolic resin, potassium titanate, and CNSL on the tribological properties of brake friction materials
    • Kima Y.C., Cho M.H., Kim S.J., and Jang H. The effect of phenolic resin, potassium titanate, and CNSL on the tribological properties of brake friction materials. Wear 264 (2008) 204-210
    • (2008) Wear , vol.264 , pp. 204-210
    • Kima, Y.C.1    Cho, M.H.2    Kim, S.J.3    Jang, H.4
  • 5
    • 33947145580 scopus 로고    scopus 로고
    • Instabilities generated by friction in a pad-disc system during the braking process
    • Meziane A., D'Errico S., Baillet L., and Laulagnet B. Instabilities generated by friction in a pad-disc system during the braking process. Tribology International 40 (2007) 1127-1136
    • (2007) Tribology International , vol.40 , pp. 1127-1136
    • Meziane, A.1    D'Errico, S.2    Baillet, L.3    Laulagnet, B.4
  • 6
    • 33847162050 scopus 로고
    • Development philosophy of friction materials for automotive disc brakes
    • Sasaki Y. Development philosophy of friction materials for automotive disc brakes. Proceedings of JSAE 9531679 (1995) 407-412
    • (1995) Proceedings of JSAE , vol.9531679 , pp. 407-412
    • Sasaki, Y.1
  • 7
    • 67349225678 scopus 로고    scopus 로고
    • Aleksendrić D, Duboka Č. Automotive friction material development by means of neural computation. In: Braking 2006, York, UK, 7-9 May 2006. p. 167-76.
    • Aleksendrić D, Duboka Č. Automotive friction material development by means of neural computation. In: Braking 2006, York, UK, 7-9 May 2006. p. 167-76.
  • 8
    • 0037545918 scopus 로고    scopus 로고
    • Tribological study of cast iron with automotive brake linings: the effect of rotor microstructure
    • Cho H., Kim S.J., Basch R.H., Fash J.W., and Jang H. Tribological study of cast iron with automotive brake linings: the effect of rotor microstructure. Tribology International 36 (2003) 537-545
    • (2003) Tribology International , vol.36 , pp. 537-545
    • Cho, H.1    Kim, S.J.2    Basch, R.H.3    Fash, J.W.4    Jang, H.5
  • 9
    • 10944227379 scopus 로고    scopus 로고
    • Modelling of materials for automotive braking
    • Barton D.C. Modelling of materials for automotive braking. International Materials Review 49 (2004) 379-385
    • (2004) International Materials Review , vol.49 , pp. 379-385
    • Barton, D.C.1
  • 10
    • 0042283664 scopus 로고    scopus 로고
    • Microstructural characteristics on the surface and subsurface of semi metallic automotive friction materials during braking process
    • Talib R.J., Muchtar A., and Azhari C.H. Microstructural characteristics on the surface and subsurface of semi metallic automotive friction materials during braking process. Journal of Materials Processing Technology 140 (2003) 694-699
    • (2003) Journal of Materials Processing Technology , vol.140 , pp. 694-699
    • Talib, R.J.1    Muchtar, A.2    Azhari, C.H.3
  • 11
    • 55249105657 scopus 로고    scopus 로고
    • On the dry and wet sliding performance of potentially new frictional brake pad materials for automotive industry
    • EL-Tayeb N.S.M., and Liew K.W. On the dry and wet sliding performance of potentially new frictional brake pad materials for automotive industry. Wear 266 (2009) 275-287
    • (2009) Wear , vol.266 , pp. 275-287
    • EL-Tayeb, N.S.M.1    Liew, K.W.2
  • 12
    • 60949086477 scopus 로고    scopus 로고
    • Prediction of wear behaviour of A356/SiCp MMCs using neural networks
    • Rashed F.S., and Mahmoud T.S. Prediction of wear behaviour of A356/SiCp MMCs using neural networks. Tribology International 42 5 (2009) 642-648
    • (2009) Tribology International , vol.42 , Issue.5 , pp. 642-648
    • Rashed, F.S.1    Mahmoud, T.S.2
  • 13
    • 0043286836 scopus 로고    scopus 로고
    • Artificial neural networks applied to polymer composites: a review
    • Zhang Z., and Friedrich K. Artificial neural networks applied to polymer composites: a review. Composite Science and Technology 63 (2003) 2029-2044
    • (2003) Composite Science and Technology , vol.63 , pp. 2029-2044
    • Zhang, Z.1    Friedrich, K.2
  • 15
    • 33745973888 scopus 로고    scopus 로고
    • Prediction of automotive friction material characteristics using artificial neural networks-cold performance
    • Aleksendrić D., and Duboka C. Prediction of automotive friction material characteristics using artificial neural networks-cold performance. Wear 261 3-4 (2006) 269-282
    • (2006) Wear , vol.261 , Issue.3-4 , pp. 269-282
    • Aleksendrić, D.1    Duboka, C.2
  • 16
    • 33847106956 scopus 로고    scopus 로고
    • Fade performance prediction of automotive friction materials by means of artificial neural networks
    • Aleksendrić D., and Duboka C. Fade performance prediction of automotive friction materials by means of artificial neural networks. Wear 262 7-8 (2007) 778-790
    • (2007) Wear , vol.262 , Issue.7-8 , pp. 778-790
    • Aleksendrić, D.1    Duboka, C.2
  • 17
    • 33845287595 scopus 로고    scopus 로고
    • Prediction on wear properties of polymer composites with artificial neural networks
    • Jiang Z., Zhong Z., and Friedrich K. Prediction on wear properties of polymer composites with artificial neural networks. Composite Science and Technology 67 (2007) 168-176
    • (2007) Composite Science and Technology , vol.67 , pp. 168-176
    • Jiang, Z.1    Zhong, Z.2    Friedrich, K.3
  • 18
    • 84873598599 scopus 로고    scopus 로고
    • Friction material development using artificial intelligence, EAEC05-AD09
    • Belgrade, Serbia and Montenegro, 30 May-1 June
    • Aleksendrić D, Duboka Č. Friction material development using artificial intelligence, EAEC05-AD09. In: Proceedings of the 10th EAEC European automotive congress, Belgrade, Serbia and Montenegro, 30 May-1 June, 2005.
    • (2005) Proceedings of the 10th EAEC European automotive congress
    • Aleksendrić, D.1    Duboka, C.2
  • 19
    • 0036964229 scopus 로고    scopus 로고
    • A constructive algorithm for feedforward neural networks with incremental training
    • Liu, Chang TS, Zhang Y. A constructive algorithm for feedforward neural networks with incremental training. IEEE Transactions on Circuits and Systems 2002;49(12).
    • (2002) IEEE Transactions on Circuits and Systems , vol.49 , Issue.12
    • Liu1    Chang, T.S.2    Zhang, Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.