Analysis of the surface roughness, cutting efforts, and form errors in bore reaming of hardened steel using a statistical approach

Melo, Tainara Fernandes Lagoa; Filho, Sérgio Luiz Moni Ribeiro; Arruda, Étory Madrilles; Brandão, Lincoln Cardoso

doi:10.1016/j.measurement.2018.12.033

Cited by 10 publications

(10 citation statements)

References 22 publications

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“…If p is equal to 0.05 or less, it is possible to deduce that the influence of the factor is statistically significant. 44 The results of the ANOVA for thrust forces supported a strong linear relationship in the drilling models. R -square ( R 2 ) value of the analysis was 0.9177.…”

Section: Resultsmentioning

confidence: 79%

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Investigation of drilling properties of AA7075/Al₂O₃ functionally graded materials using gray relational analysis

Yıldız

Sur

2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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The present paper reports an experimental study on the fabrication and characterization of aluminum-oxide-reinforced functionally graded aluminum composites and optimization of drilling parameters on thrust force and average surface roughness using gray relational analysis. For this purpose, AA7075/Al2O3 functionally graded materials were produced with three layers that have different ratios of Al2O3 via high-temperature isostatic pressing and powder metallurgy method. Hardness behaviors of the layers were determined. Further, microstructural characterizations of the layers were carried out. Functionally graded materials were machined at dry cutting conditions with a 6 mm uncoated cemented carbide drill bit. The drilling experiments were carried out under different conditions such as point angles, helix angles, and feed rates, while the 25 m/min cutting speed was kept constant. The effects of factors on thrust force and surface roughness were evaluated using analysis of variance and gray relational analysis in full factorial experimental design. The minimum thrust force was measured at 221 N in a 140° point angle, 15° helix angle, and 0.075 mm/rev feed rate. Results of the gray relational analysis showed that feed rate was the dominant factor on thrust force and average surface roughness. Consequently, the highest and lowest gray relational grades were obtained at 0.899 and 0.374, respectively.

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Section: Resultsmentioning

confidence: 79%

“…R 2 is the variance ratio of the dependent variable that can be predicted from the independent variable. 44 Based on the ANOVA results, the most influential parameter on the thrust force was feed rate with a contribution of 27.05%.…”

Section: Resultsmentioning

confidence: 99%

Investigation of drilling properties of AA7075/Al₂O₃ functionally graded materials using gray relational analysis

Yıldız

Sur

2021

Proceedings of the Institution of Mechanical Engineers, Part B:

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“…This situation often exists when faced with scare operation resources that demand prudent sharing among deserving parameters. Melo et al (2019) considered a selected group of parameters, including cutting effort, surface roughness and form errors when bore reaming materials made of hardened steel and discussed their interactions. It was concluded that the cutting speed is the most crucial parameter to produce superior surface quality during the bore reaming process.…”

Section: Literature Review 21 Generalmentioning

confidence: 99%

“…An important way that modern manufacturing industries can enhance surface quality through the reduction of roughness in boring operations is to ascertain that the process parameters are first evaluated to properly position each element in its important position (Zhang et al, 2017;Yuvaraju and Nanda, 2018;Melo et al, 2019;Klein et al, 2020;Lotfi et al, 2020). Then, elements with utmost importance should be adequately provided with the necessary resources to achieve an optimal level of performance (Ratnam et al, 2018;Izelu et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Performance Evaluation of Surface Roughness in the Boring Operation of IS 2062 E250 Plate on CNC Machine Using Combined Entropy-Decision Tree-VIKOR Approach

Abiola

Oke

2021

IJIEM

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In boring E250 B0 steel material, the selection of process parameters is one of the most challenging tasks to achieve. The boring literature lacks understanding and fails to reveal how to select the important boring parameters for utmost resource distribution to the most important parameters. This article proposes a novel method to analyse the importance of parameters in boring to produce utmost surface roughness using the entropy-decision tree-VIKOR approach as a multi-criteria decision-making solution to the choice of process materials for superior surface roughness. The choice parameters include speed, depth of cut, feed and nose radius. The entropy approach was instituted to attain the weight of the diverse parameters. The decision tree approach is deployed through the classification of the parameters as beneficial and non-beneficial and the expected values at each mode evaluated. The desirable weightage is then established and serves as the input to the VIKOR approach. This converts the desirable weightage into unit measures through the best/worst value and weightage evaluation. The individual regrets are then analyzed and the final ranking obtained. Results revealed that the depth of cut is the most important parameter, then nose radius (0.98), feed (0.307) and speed (0), respectively. Therefore, a plan to assign more measures to the depth of cut may be developed and the least resources may be assigned to speed. This detail may be helpful to prepare the annual budgets for the boring operation on the factory floor.

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Analyses of two manufacturing systems in drilling of CGI: drilling and reaming × drilling

Reis

Silva

et al. 2020

Int J Adv Manuf Technol

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Analysis of the surface roughness, cutting efforts, and form errors in bore reaming of hardened steel using a statistical approach

Cited by 10 publications

References 22 publications

Investigation of drilling properties of AA7075/Al₂O₃ functionally graded materials using gray relational analysis

Investigation of drilling properties of AA7075/Al₂O₃ functionally graded materials using gray relational analysis

Performance Evaluation of Surface Roughness in the Boring Operation of IS 2062 E250 Plate on CNC Machine Using Combined Entropy-Decision Tree-VIKOR Approach

Analyses of two manufacturing systems in drilling of CGI: drilling and reaming × drilling

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Analysis of the surface roughness, cutting efforts, and form errors in bore reaming of hardened steel using a statistical approach

Cited by 10 publications

References 22 publications

Investigation of drilling properties of AA7075/Al2O3 functionally graded materials using gray relational analysis

Investigation of drilling properties of AA7075/Al2O3 functionally graded materials using gray relational analysis

Performance Evaluation of Surface Roughness in the Boring Operation of IS 2062 E250 Plate on CNC Machine Using Combined Entropy-Decision Tree-VIKOR Approach

Analyses of two manufacturing systems in drilling of CGI: drilling and reaming × drilling

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Investigation of drilling properties of AA7075/Al₂O₃ functionally graded materials using gray relational analysis

Investigation of drilling properties of AA7075/Al₂O₃ functionally graded materials using gray relational analysis