Determination of optimum amount lubricant in drilling using soft-computing tools: desired surface roughness

Here, an approach based on soft-computing tools is proposed to control the optimum amount of lubricant required in drilling to achieve a desired surface roughness. Two Fuzzy Logic Controllers (FLCs), using TSK-type and Mamdani-type fuzzy rules are developed which are later adopted to optimise the lubricant rate using Genetic Algorithm (GA). A comparison of optimisation results based on FLCs with experimental values shows that FLC with TSK-type fuzzy rule is more efficient for real implementation.

[1]  H. Brändle,et al.  New hard/lubricant coating for dry machining , 1999 .

[2]  John S. Agapiou,et al.  Metal Cutting Theory and Practice , 1996 .

[3]  M. A. El Baradie,et al.  Cutting fluids: Part I. Characterisation , 1996 .

[4]  Walter Lindolfo Weingaertner,et al.  Analysis of temperature during drilling of Ti6Al4V with minimal quantity of lubricant , 2006 .

[5]  Ebrahim H. Mamdani,et al.  An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Hum. Comput. Stud..

[6]  M. Nouari,et al.  Experimental analysis and optimisation of tool wear in dry machining of aluminium alloys , 2003 .

[7]  J. Paulo Davim,et al.  A study of drilling performances with minimum quantity of lubricant using fuzzy logic rules , 2009 .

[8]  C. Mackerer.  Health Effects of Oil Mists: A Brief Review 4 , 1989, Toxicology and industrial health.

[9]  Arup Kumar Nandi,et al.  TSK-type FLC using a combined LR and GA: Surface roughness prediction in ultraprecision turning , 2006 .

[10]  Dilip Kumar Pratihar,et al.  Automatic design of fuzzy logic controller using a genetic algorithm—to predict power requirement and surface finish in grinding , 2004 .

[11]  L J Fine,et al.  Cancer risks among workers exposed to metalworking fluids: a systematic review. , 1998, American journal of industrial medicine.

[12]  J. Paulo Davim,et al.  The performance of cutting fluids when machining aluminium alloys , 2006 .

[13]  Nikhil Ranjan Dhar,et al.  Effects of cryogenic cooling by liquid nitrogen jets on tool wear, surface finish and dimensional deviation in turning different steels , 2006 .

[14]  P. Burge,et al.  Occupational asthma due to an emulsified oil mist. , 1985, British journal of industrial medicine.

[15]  Anselmo Eduardo Diniz,et al.  Using a minimum quantity of lubricant (MQL) and a diamond coated tool in the drilling of aluminum–silicon alloys , 2002 .

[16]  E A Eisen,et al.  Acute pulmonary responses among automobile workers exposed to aerosols of machining fluids. , 1989, American journal of industrial medicine.

[17]  M. Sugeno,et al.  Structure identification of fuzzy model , 1988 .

[18]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[19]  David A. Stephenson,et al.  MINIMUM QUANTITY LUBRICATION (MQL) APPLICATIONS IN AUTOMOTIVE POWER-TRAIN MACHINING , 2006 .

[20]  Michio Sugeno,et al.  Fuzzy identification of systems and its applications to modeling and control , 1985, IEEE Transactions on Systems, Man, and Cybernetics.