Taguchi-Grey relation analysis for assessing the optimal set of control factors of thermal barrier coatings for high-temperature applications

Yunus, Muhammad; Alsoufi, Mohammad S.; Munshi, Shadi M.

doi:10.1186/s40759-016-0011-z

Cited by 13 publications

(6 citation statements)

References 16 publications

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“…Thus the exact results of thermal characteristics (TC) are being analyzed for the characterization ceramic coating. In general, most of the attempts have been done for optimizing the control factors using Taguchi design of experiment combined with GRA [29][30][31][32]. Nirmala et al [33] explored the ceramic covered diesel engine and they applied Particle Swarm Optimization and Genetic Algorithm (PSO-GA) for working on the durability as well as limiting the expense.…”

Section: Performance Improvement Through Optimizationmentioning

confidence: 99%

Review of Ceramics Coating on the Engine Components

Anandavelu¹,

Mahabubadsha²

2022

Rev. Chim.

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The experimental research of ceramic coatings on engine components, as well as the evaluation of their performance, is discussed in this work. Engine efficiency, pollution, and combustion characteristics have also been studied in relation to the ceramic coatings on engine components. Furthermore, several ceramic coating materials and coating processes have been thoroughly studied. For a better understanding of the relevance of the ceramic coating, experimental findings of ceramic coated and non-coated engine components were compared. A few issues in emissions and engine performance have also been identified as areas where additional research is needed. The use of optimization techniques in ceramic coating on engines, as well as analysis of variance (ANOVA) to understand the major parameters impacting engine performance, has been explored.

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Section: Performance Improvement Through Optimizationmentioning

confidence: 99%

Review of Ceramics Coating on the Engine Components

Anandavelu¹,

Mahabubadsha²

2022

Rev. Chim.

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“…The response are taken as "larger the better" because the above mentioned parameters will improve the performance of engine. If the response is "larger the better", then the original response can be normalized [13] as per the Eq. ( 1).…”

Section: Grey Relational Analysis (Gra)mentioning

confidence: 99%

Tamanu Blended Diesel Fuel Operated IC Engine Emissions and Performance Characteristics Optimization using Taguchi with GRA

Sureshbabu¹,

Ashokavarthanan

2022

Preprint

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Diesel engines cause major pollutants such as hydrocarbons (HC), carbon monoxide (CO), and oxides of nitrogen (NOx). These emissions affect environmental systems and lead to global warming and climatic change effects. These pollutants also affect humans and lead to health problems like lung cancer, breathing problems, and headaches, etc. Hence, some necessary action has to be taken to minimise these pollutants. There are several steps available to control these emissions. The coating of the piston using catalytic material is an effective method and novel approach of reducing emissions in diesel engines with alternate fuel operated diesel engines. The copper-chromium-zirconium alloy (CuCr1Zr) is known for its good thermal conductivity and good catalyst material, and the piston is coated by copper-chromium-zirconium alloy with 250µm thickness. Tamanu oil was blended with diesel fuel in a 20% (B20) to 40% (B40) ratio and used as an alternate fuel for the coated engine. The results showed a significant reduction in emissions and improvements in performance. In this research, the Taguchi with grey relational analysis (GRA) optimization technique is also used to study the effect of engine operating parameters on the emission level such as load and fuel for copper-chromium-zirconium alloy-coated diesel engine. Based on experimental results found that fuel is the most influential factor for CO and HC exhaust gas emissions reductions for coated type diesel engines.

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“…Computing the resultant responses is the foremost step, i.e. S/N ratio values either smaller is better or larger is better type problem based on the output variables [16,17]. The normalized original order will attain the required objective value.…”

Section: Phases Aimed At Optimization By Grey Relational Analysis (Gra)mentioning

confidence: 99%

Experimental investigation to optimize tool performance in high-speed drilling: a comparative study

Prasad

Kiran

2019

J Braz. Soc. Mech. Sci. Eng.

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In this study, the influence of drilling parameters on circularity error, tool tip temperature and flank wear is investigated while drilling of Ti-6Al-4V alloy specimens with dissimilar cutting tool materials under dry machining conditions. In addition, optimal control factors for circularity error, tool tip temperature and flank wear have been determined using Taguchi-Grey relational analysis. Rotational speed of the spindle, feed rate and drill bit material are considered as control factors. Numerous drilling experimental runs have been performed employing L27 orthogonal array on a CNC vertical machining centre with 12Ø-mm-diameter holes on 10-mm-thick plates. An infrared thermal camera FLIR E60 is employed to record the temperature at tool chip interface, and Kistler 8793 tri-axial accelerometer is used to get hold of vibration data in real time. Analysis of variance has been carried out to ascertain the most substantial control factors among rotational speed, feed rate and drill bit material and also to establish the effects of the same over circularity error (C r), temperature (T) and flank wear (V B).

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Taguchi-Grey relation analysis for assessing the optimal set of control factors of thermal barrier coatings for high-temperature applications

Cited by 13 publications

References 16 publications

Review of Ceramics Coating on the Engine Components

Review of Ceramics Coating on the Engine Components

Tamanu Blended Diesel Fuel Operated IC Engine Emissions and Performance Characteristics Optimization using Taguchi with GRA

Experimental investigation to optimize tool performance in high-speed drilling: a comparative study

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