Intelligent diagnostic technique of machining state for grinding

International Journal of Advanced Manufacturing Technology

Volumn 23, Issue 5-6, 2004, Pages 436-443

  Kwak, J S ^a   Ha, M K ^a  

^a Pukyong National University   (South Korea)

Author keywords

Grinding process; Intelligent diagnostic technique; Neural network

Indexed keywords

ACOUSTIC EMISSIONS; GRAIN SIZE AND SHAPE; ITERATIVE METHODS; LEARNING SYSTEMS; NEURAL NETWORKS; PARAMETER ESTIMATION; SENSORS; VIBRATIONS (MECHANICAL);

INTELLIGENT DIAGNOSTIC TECHNIQUE; TURNING TOOLS;

GRINDING (COMMINUTION);

EID: 1942537598     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00170-003-1899-0     Document Type: Article

References (12)

1. Kim GH, Inasaki I, Lee JK (1994) Architecture of knowledge-base and management system for grinding operations. J KSPE 11(1):211-218
2. Kawamura S, Mitsuhashi M (1981) Studies on the fundamentals of grinding burn (3rd report) - oxidation rate raw of workpiece, J JSPE 47(9):106-111
3. Liao YS, Shiang LS (1991) Computer simulation of self-excited and forced vibrations in the external cylindrical plunge grinding process. Trans ASME 113(8):297-304
4. Inasaki I (1999) Sensor fusion for monitoring and control-ling grinding processes. Int J Adv Manuf Tech 15(10):730-736
5. Tonshoff HK, Karpuschewski B, Regent C (1999) Process Monitoring in Grinding Using Micro-magnetic Technique. Int J Adv Manuf Tech 15(10):694-698
6. Malkin S (1989) Grinding technology-theory and applications of machining with abrasives. Wiley, New York, pp 74-92
7. Konic W, Altintas Y, Memis F (1995) Direct adaptive control of plunge grinding process using acoustic emission sensor. Int J Mach Tool Manuf 35(10):1445-1457
8. Wakuda M, Inasaki I, Ogawa K, Takahara M (1993) Monitoring of the grinding process with an AE sensor integrated CBN wheel. J JSPE 59(2):97-102
9. Dornfeld D, Cai HG (1984) An investigation of grinding and wheel loading using acoustic emission. Trans ASME 106(2):28-33
10. Emel E, Asibu EK (1988) Tool failure monitoring in turning by patterning recognition analysis of AE signals. Trans ASME 110(5):137-145
11. Freeman JA, Skapura DM (1991) Neural networks-algorithms, applications, and programming techniques. Addison-Wesley, New York, pp 60-104
12. Tandon V, Ei-Mounayri H (2001) A novel artificial neural networks force model for end milling. Int J Adv Manuf Tech 18(10):693-700