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Surface Hardness Prediction Model of Turning Duplex Stainless Steel under Different Cutting Variables

Abdulateef Osamah Fadhil, Ali Abduljabar H., Al Kareem Salah Sabeeh Abed

Advances in Science and Technology. Research Journal

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2023

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Vol. 17, no 1

1--7

EN

The quality of machine components surfaces plays an important impact on their functional performance. Product performance may be restricted by changes to surface integrity, which includes changes to roughness, hardness, and microstructure. In this research, the impact of cutting variables in CNC turning under the conventional cooling condition on surface hardness of Duplex Stainless Steel. Cutting variables under conventional cooling, including cutting speed, feed, and depth of cut, have been optimized utilizing Taguchi’s L9 orthogonal array designed with three stages of turning variables. The optimal variable stages and the degree of significance of the cutting variables, respectively, were determined utilizing the analysis of means (ANOM) and analysis of variance (ANOVA). Effectiveness tests with optimum stages of variables were done to prove the viability of optimization by utilizing Taguchi. It has been found that the maximum surface hardness is most strongly affected by the feed 71.29%, followed by the depth of cut 12.1%, and finally the cutting speed 11.61%.

2

Using the taguchi method to optimize controlled variables in the experiment to produce a Ti coating by cold spraying

Makrenek M., Żórawski W., Góral A.

Technical Transactions

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2018

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Vol. 115, iss. 12

179--184

EN

The article presents a method for optimizing technological parameters utilizing the G. Taguchi procedure. Optimization algorithm of controlled variables was presented in order to obtain the greatest value of nanohardness, microhardness and elastic modulus.

PL

W artykule przedstawiono metodę optymalizacji parametrów technologicznych wykorzystującą procedurę G. Taguchi. Zaprezentowano algorytm optymalizacji zmiennych kontrolowanych, tak by uzyskać jak największą wartości nanotwardości, modułu elastyczności i mikrotwardości.

3

Optimization of the sizing process with grey relational analysis

Sarpkaya C., Sabir E. C.

Fibres & Textiles in Eastern Europe

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2016

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Vol. 24, no. 1 (115)

49--55

EN

The sizing process is an important one for textile mills and affects the efficiency of the loom machine. In this study, the optimization of multiple performance characteristics based on the grey relations analysis method, which is a new approach for optimization of the sizing process was researched using the Taguchi L18 (mixed 3 - 6 level) experimental plan. The process parameters selected: warp yarn count, the viscosity of the sizing solution and the dispatch speed of the warp yarn passing from the sizing machine, were optimized. In the experimental design of Taguchi L18 (mixed 3 - 6 level), the warp yarn count factor was chosen as 3 levels (12, 10 and 8 tex), the viscosity of the sizing solution factor as 3 levels (14, 20, & 24 Ns/m2), and the dispatch speed of the warp yarn passing from the sizing machine factor was selected as 6 levels (40, 50, 60, 70, 80, & 90 m/min). Quality characteristics were determined as the warp yarn strength, and the efficiency of the loom machine. A grey relational grade obtained from the grey relational analysis is used to solve the sizing process with multiple performance characteristics. Optimum levels for the sizing process parameters were determined using the grey relation grade.

PL

Proces nanoszenia preparacji jest ważny w procesie produkcji tkanin i wpływa na wydajność stosowanych krosien. Przeprowadzono optymalizacje szeregu parametrów procesu stosując metodę analizy zbiorów rozmytych będącą nowością w analizie procesu nanoszenia preparacji . Wykorzystano plan Tagucchi dla realizacji eksperymentu. Analizę przeprowadzono dla trzech przędz o różnych masach liniowych, trzech różnych lepkościach roztworu preparacji i trzech różnych prędkościach osnowy przechodzącej przez urządzenie do preparacji. Określono charakterystykę jakościową biorąc pod uwagę wytrzymałość osnowy i wydajność krosna. Optymalne wartości parametrów procesu preparacji określono przy zastosowaniu metody zbiorów rozmytych.

4

Investigations on effect of process parameters of electrodeposited Ni-Al2O3 composite coating using orthogonal array approach and mathematical modeling

Jeyaraj S., Arulshri K. P., Sivasankaran S.

Archives of Civil and Mechanical Engineering

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2016

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Vol. 16, no. 1

168--177

EN

This research article aims at preparation of nickel-aluminum oxide (Ni-Al2O3) metal matrix composite coatings that were prepared from conventional electro-deposition process. Micron sized alumina particles were deposited in nickel matrix by electro-co-deposition technique. The primary electroplating parameters of current density, pH value of electrolyte, temperature of bath, amount of ceramic particles (Al2O3) in bath, and agitation speed were considered for experimental studies. Experimental design and run orders were framed by orthogonal array of Taguchi's approach. L27 orthogonal array was chosen for experimental design based on five plating parameters and three levels. The experiments were conducted by adjusting the plating parameters and the samples were prepared from electrolytic bath. Volume fraction of Al2O3 and micro-hardness of deposits were recorded for each coated sample systematically. The mean effect studies of electroplating parameters were investigated using Taguchi's approach. The S/N ratio values for the response of micro-hardness were calculated and analyzed for significances of independent input parameters. It was found that current density, pH, temperature and agitation speed were the most significant factors. A second order quadratic equation was developed as prediction model for micro-hardness. The predicted micro-hardness values were found to be in good agreement with the experimental results.

5

Parametric Sensitivity Analysis of Factors Affecting Sound Transmission Loss of Multi-Layered Building Elements Using Taguchi Method

Garg N., Kumar A., Maji S.

Archives of Acoustics

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2014

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Vol. 39, No. 2

165--176

EN

The paper presents application of Taguchi method in optimizing the sound transmission loss through sandwich gypsum constructions and those comprising of masonry concrete blocks and gypsum boards in order to investigate the relative influence of the various parameters affecting the sound transmission loss. The application of Taguchi method for optimizing sound transmission loss has been rarely reported. The present work uses the results analytically predicted on “Insul” software for various sandwich material configurations as desired by each experimental run in an L8 orthogonal array. The relative importance of the parameters on single-number rating, Rw (C, Ctr) is evaluated in terms of percentage contribu- tion using Analysis of Variance (ANOVA). The ANOVA method reveals that type of studs, steel stud frame and number of gypsum layers attached are the key factors controlling the sound transmission loss characteristics of sandwich multi-layered constructions.