Paper Info
Title
Fuzzy rule-based model to estimate surface roughness and wear in hard coatings
Abstract
In this paper, a new approach in predicting the surface roughness and flank wear of hard coatings using fuzzy rule-based model is implemented. Hard coatings is important for cutting tool due to its excellent performances in 800°C temperature during high speed machining. The coating process were run using Physical Vapor Deposition (PVD) magnetron sputtering process. An experiment matrix called Response Surface Methodology (RSM) was used to collect data based on optimized data point. Sputtering power, substrate bias voltage and substrate temperature were used as the variables, and coating roughness and flank wear as the output responses of the coating process. The collected experimental data were used to develop fuzzy rules. Five triangular membership functions (MFs) for input variables and nine MFs for output responses were used in constructing the models. The results of fuzzy rule-based models were compared against the experimental result based on the percentage error, co-efficient determination (R2) and model accuracy. The rule-based model for coating roughness showed an excellent result with respective smallest percentage error, R2 and model accuracy were 0.85%, 0.953 and 89.20% respectively. Meanwhile, the fuzzy flank wear model indicated 6.38%, 0.91 and 81.79% for smallest percentage error, R2 and model accuracy. Thus, fuzzy logic can be a good alternative in predicting coating roughness and flank wear in hard coatings.
Year
DOI
Venue
2012
10.1109/ICSMC.2012.6377873
Systems, Man, and Cybernetics
Keywords
Field
DocType
cutting tools,fuzzy logic,fuzzy set theory,machining,response surface methodology,sputtered coatings,wear,RSM,coating process,coating roughness prediction,coefficient determination,cutting tool,flank wear prediction,fuzzy logic,fuzzy rule-based model,hard coating,high speed machining,model accuracy,percentage error,physical vapor deposition magnetron sputtering process,response surface methodology,sputtering power,substrate bias voltage,substrate temperature,surface roughness estimation,temperature 800 C,triangular membership function,wear estimation,flank wear,fuzzy rule-based model,hard coating,surface roughness
Composite material,Control theory,Coating,Computer science,Fuzzy logic,Fuzzy set,Machining,Surface finish,Surface roughness,Fuzzy rule,Cutting tool
Conference
ISSN
ISBN
Citations 
1062-922X
978-1-4673-1712-2
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Abdul Syukor Mohamad Jaya161.64
Siti Zaiton Mohd Hashim229526.44
Habibollah Haron332230.35
M. R. Muhamad400.68
Md. Nizam Abd Rahman500.68