Weighted principal component analysis combined with Taguchi’s signal-to-noise ratio to the multiobjective optimization of dry end milling process: a comparative study

Costa, Danielle Martins Duarte; Belinato, Gabriela; Brito, Tarcísio Gonçalves; Paiva, Anderson Paulo de; Ferreira, João Roberto; Balestrassi, Pedro Paulo

doi:10.1007/s40430-016-0614-7

Cited by 19 publications

(8 citation statements)

References 32 publications

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“…Regarding the mechanical engineering, several researchers utilized the Taguchi method to reduce the number of experiments and the costs involved [4][5][6][7][8][9][10][11][12][13][14][15][16]. As an example, Pandivelan and Jeevanantham [16] used Taguchi method to study the effects of forming parameters on the surface roughness and formability of AA5052 alloy in incremental forming (IF) process.…”

Section: Introductionmentioning

confidence: 99%

Application of the Taguchi method for efficient studying of elevated-temperature incremental forming of a titanium alloy

Khazaali

Fereshteh-Saniee

2018

J Braz. Soc. Mech. Sci. Eng.

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The incremental forming technique is a relatively new sheet forming process, normally used for prototype or low-quantity manufacturing of components with complicated geometries. This article is concerned with the warm incremental forming of Ti-6Al-4V titanium alloy. To reduce the time and costs involved for the investigation, on one hand, the groove test which is simple and requires small specimens is employed and, on the other hand, the experiments are designed based on the Taguchi method, which considerably reduces the number of necessary tests. With regard to this, the influence of some important process variables, namely the initial sheet temperature, tool diameter and vertical pitch, on several objective parameters such as forming limit, thickness reduction, drawing depth and the final sample temperature are studied. Based on the Taguchi and variance analyses, the rank and contribution percentage of each process variable are, respectively, determined. In all the cases, there is a good agreement between the results of these analyses. Moreover, the vertical pitch is shown to be the most effective parameter for different objective variables, excepting the final temperature where the tool diameter is the most influencing variable. The optimum test conditions based on various criteria are then specified using the Taguchi method. After conducting the practical experiments with these optimum test conditions, a very good correlation between the relevant findings and the Taguchi predictions are found.

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Section: Introductionmentioning

confidence: 99%

Application of the Taguchi method for efficient studying of elevated-temperature incremental forming of a titanium alloy

Khazaali

Fereshteh-Saniee

2018

J Braz. Soc. Mech. Sci. Eng.

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“…The current methods of determining weights are mainly divided into subjective and objective methods. In order to avoid the influence of subjective and artificial factors, the principal component analysis method of objective weighting method is used to determine the weight of each index, to make the evaluation results more real [31]. The weights (W i ) of each index under different dimensions are calculated, as shown in Table 1.…”

Section: Livelihood Vulnerability Assessment Modelmentioning

confidence: 99%

Study on the Livelihood Vulnerability and Compensation Standard of Employees in Relocation Enterprises: A Case of Chemical Enterprises in the Yangtze River Basin

Zhao

Chen

Gao

et al. 2020

IJERPH

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The relocation of chemical enterprises along the Yangtze River a necessary means of ecological protection in the Yangtze River Basin. Vulnerability assessment provides a new idea for the study of livelihood ability and compensation standard of employees after relocation. Based on the framework of “Exposure-Sensitivity-Adaptability” proposed by the Intergovernmental Panel on Climate Change (IPCC) and the survey data of 410 employees of relocation enterprises in the Hubei Province of the Yangtze River Basin, this study firstly constructs a livelihood vulnerability evaluation index system and evaluation model, and analyzes whether the employees of relocation enterprises have the ability to cope with the risk impact brought by the Yangtze River Ecological Restoration policy. Then, we use multiple linear regression model to explore the relationship between the group’s exposure, sensitivity, adaptability and livelihood vulnerability. Finally, we design a new compensation standard calculation method for special groups from the perspective of social cost, to alleviate their livelihood vulnerability and provide a theoretical basis and decision support for the government and enterprises to formulate and implement relevant resettlement standards. The results show that: (1) employees of all ages show a certain degree of vulnerability in their livelihood; (2) there are differences in livelihood vulnerability between male and female employees; (3) compared with other positions, the livelihood vulnerability of producers is relatively high, and the vulnerability index is unevenly distributed and internally differentiated; (4) a low family burden ratio, high education, convenient living conditions and complex social network can effectively reduce the vulnerability of employees’ livelihood; (5) the key obstacle factors affecting the sustainable livelihood of families are living convenience, adaptability to relocation, policy understanding, children’s burden ratio, education, and annual income per capita; (6) the alternative opportunity cost method can be used as the basis to determine the compensation standard of the relocated employees, which can better reflect the compensation effect of the opportunity cost in the existing definition of international compensation mechanisms and realize the leap from concept to action.

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“…Moreover, researchers have attempted to assign weightage to response parameters so as to get different optimized conditions of input parameters. Costa et al [25] used weighted principal component analysis (WPCA) with Taguchi's S/N ratio for optimization of dry end-milling process. Senthilkumar et al [22] have optimized EDM process using GRA with ANOVA techniques.…”

Section: Introductionmentioning

confidence: 99%

Evaluation and multi-objective optimization of nose wear, surface roughness and cutting forces using grey relation analysis (GRA)

Sonawane

Sargade

2019

J Braz. Soc. Mech. Sci. Eng.

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Dual-phase structure with 1:1 ratio of austenite and ferrite is termed as "Duplex". Lower cost of duplex stainless steel (DSS) with a combination of good strength and corrosion resistance in a critical environment is captivating many applications. This research work highlights the experimental study of effect of cutting parameters such as cutting speed, feed rate, AlTiN and AlTiCrN-coated tools on response parameters, viz. tool life, surface roughness and cutting forces. Multi-objective optimization using grey relation analysis (GRA) was done to optimize quality response characteristics. High-power impulse magnetron sputtering was used to deposit AlTiN and AlTiCrN coatings on tungsten carbide substrate. Performance measures such as tool life, surface roughness and cutting forces were measured during dry turning of DSS2205 and optimized using Taguchi's GRA technique. AlTiCrN-coated tools exhibited the best results followed by AlTiN-coated tools and uncoated tools. Tool life achieved with AlTiCrN-coated tools is 7 times more than uncoated tools, in which surface roughness was found to be reduced by 67% and cutting forces by 25%. Weighted GRG grade shows that for all the tools used, a cutting speed of 100 m/ min and feed rate of 0.12 mm/rev provided optimum results for response parameters. For change in weightage to response characteristics, different optimum conditions were found for all the tools used. AlTiCrN-coated tool with 100 m/min cutting speed and 0.12 mm/rev feed rate performed better with the highest tool life, the least surface roughness and cutting forces. The results were confirmed by S/N ratio plots. Keywords DSS2205 • HiPIMS • Characterization • Dry turning • GRA • S/N ratio List of symbols X i (k) Sequence after the data preprocessing Δ 0i (k) Deviation sequence of the reference sequence i (k) Grey relation coefficient T s Deposition temperature of the coating X 0 i (k) Original sequence Identification coefficient i

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Weighted principal component analysis combined with Taguchi’s signal-to-noise ratio to the multiobjective optimization of dry end milling process: a comparative study

Cited by 19 publications

References 32 publications

Application of the Taguchi method for efficient studying of elevated-temperature incremental forming of a titanium alloy

Application of the Taguchi method for efficient studying of elevated-temperature incremental forming of a titanium alloy

Study on the Livelihood Vulnerability and Compensation Standard of Employees in Relocation Enterprises: A Case of Chemical Enterprises in the Yangtze River Basin

Evaluation and multi-objective optimization of nose wear, surface roughness and cutting forces using grey relation analysis (GRA)

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