Machinability evaluation of work materials using a combined multiple attribute decision-making method

Rao, R. Venkata

doi:10.1007/s00170-004-2348-4

Cited by 76 publications

(13 citation statements)

References 21 publications

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“…This wear is found to havedetrimental effects on surface finish, residual. stresses and microstructural changes in the form of re-hardened surface layer (Attanasio A et al,2012 andVenkatrao R 2006).…”

Section: Tool Life Equationmentioning

confidence: 99%

“…It is usual practice of the researchers to characterise the machinability studies by way of experimentation. Venkatrao R (2006) presented a logical procedure to evaluate the machinability of the work material for a given machining operation and also proposed globally machinability index to evaluate and rank the work materials. However, yet no reports on the application and implementation of the global machinability index is found.…”

Section: Introductionmentioning

confidence: 99%

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An Experimental Investigation on Machinability Studies of Steels by Face Turning

Lalbondre¹,

Krishna

Mohankumar

2014

Procedia Materials Science

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The present study is an experimental investigation on the machinability of AISI 51100 and AISI 52100 steels (whose chemical compositions slightly differ) by face turning method. The face turning method makes use of cylindrical shaped steel specimen as a test piece and a triangular P-30 insert as a cutting tool for testing the machinability. The effectiveness of this method is assessed by studying: the cutting time required for the tool to reach flank wear up to 0.3mm (tool life criterion); tool wear development and wear mechanisms involved in machining; tool life studies; and surface roughness investigations of the machined surfaces. These aspects are further tested and verified for its repeatability and reproducibility. The tests are being carried according to some of the indicated in the international standards,ISO 3685:1993(E) and American Foundry Society standard machinability tests. The results presented here demonstrate the ability of the face turning method: to evaluate the tool wear development and tool life; to investigate surface integrity due to tool wear; and to differentiate very clearly the machinability of steels under consideration. The face turning method used here is simple and effective.

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Section: Tool Life Equationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Experimental Investigation on Machinability Studies of Steels by Face Turning

Lalbondre¹,

Krishna

Mohankumar

2014

Procedia Materials Science

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“…Machining operations have been the core of the manufacturing industry since the industrial revolution (Rao, 2006). The existing optimization researches for Computer Numerical Controlled (CNC) turning were either simulated within particular manufacturing circumstances (Sukontanakarn and Parnichkun, 2009;Lin et al, 2001;Haber et al, 2004;Meng et al, 2000) or achieved through numerous frequent equipment operations (Kopac, 2002;Tosun and Ozler, 2004).…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Parametric Deduction for Material Removal Rate Optimization

Lan¹

2011

Journal of Mathematics and Statistics

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Problem statement:A general optimization scheme without equipment operations for CNC (computer numerical control) finish turning is deemed to be necessarily developed. Approach: In this study, four parameters (cutting depth, feed rate, speed, tool nose runoff) with three levels (low, medium, high) were considered to optimize the Material Removal Rate (MRR) based on L 9 (3 4 ) orthogonal array. Twenty-seven fuzzy control rules using trapezoid membership function with respective to seventeen linguistic grades for material removal rate were additionally constructed. Considering thirty input and eighty output intervals, the defuzzification using center of gravity was moreover completed. Through the Taguchi experiment, the optimum fuzzy deduction parameters could then be received. Results: The confirmation experiment for optimum deduction parameters was furthermore computed within the parameter ranges on an ECOCA-3807 CNC lathe. It is shown that the material removal rate from the fuzzy deduction optimization parameters was significantly advanced comparing to that from the benchmark. Conclusions: This study not only proposed a parametric deduction optimization scheme using orthogonal array, but also contributed the satisfactory fuzzy approach to the material removal rates for CNC turning with profound insight.

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“…Machining operations have been the core of the manufacturing industry since the industrial revolution [1]. The existing multi-attribute optimization researches for CNC (computer numerical controlled) turning were either simulated within particular manufacturing circumstances [2][3][4][5], or achieved through numerous frequent equipment operations [6,7].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy Taguchi Deduction Optimization on Multi-Attribute CNC Turning

Lan

2010

Transactions of the Canadian Society for Mechanical Engineering

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In this paper, four parameters with three levels are considered to optimize the multi-attribute finish CNC (computer numerical control) turning based on L9(34) orthogonal array. Additionally, nine fuzzy control rules with respective to five linguistic grades for each attribute are constructed. The TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) is moreover utilized to integrate and evaluate the multiple machining attributes for Taguchi experiment to receive the optimum general deduction parameters. It is shown that the attributes from the fuzzy Taguchi deduction optimization parameters are all significantly advanced comparing to those from benchmark.

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Machinability evaluation of work materials using a combined multiple attribute decision-making method

Cited by 76 publications

References 21 publications

An Experimental Investigation on Machinability Studies of Steels by Face Turning

An Experimental Investigation on Machinability Studies of Steels by Face Turning

Fuzzy Parametric Deduction for Material Removal Rate Optimization

Fuzzy Taguchi Deduction Optimization on Multi-Attribute CNC Turning

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