Optimisation of internal roller burnishing process in CNC machining center using response surface methodology

John, Merbin; Balaji, B.; Vinayagam, B. K.

doi:10.1007/s40430-017-0871-0

Cited by 28 publications

(14 citation statements)

References 16 publications

(17 reference statements)

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“…Higher burnishing depth causes a larger degree of plastic deformation; hence, low roughness is obtained. A reduction in the roughness with an increased burnishing depth was also found in the published investigations [5], [6], [10], [17], [24], and [25]. A higher number of rollers leads to an increased frequency of engagement; hence, a higher degree of plastic deformation is obtained.…”

Section: Parametric Influencessupporting

confidence: 73%

“…A higher feed rate causes a higher distance between two consecutive paths; hence, higher roughness is produced. The similar impacts of the feed rate and spindle speed on the surface roughness can be found for the external burnishings [1], [5], [6], and [9], flat burnishings [2], [24], and [25], and the internal burnishings [10], and [17].…”

Section: Parametric Influencessupporting

confidence: 54%

“…John et al [9] emphasized that the average roughness could be decreased by 94.5 %, and the micro-hardness could be increased by around 41.7 % for the burnishing process of EN-9 alloy. Similarly, the impacts of the processing conditions on the average roughness bore size, and the ovality of the internal roller burnishing were presented by John et al [10]. The findings revealed that a burnished hole with an acceptable accuracy was produced.…”

Section: Introductionmentioning

confidence: 77%

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Optimization of the Internal Roller Burnishing Process for Energy Reduction and Surface Properties

Nguyen

Thai

2021

SV-JME

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Improving the surface quality after burnishing operation has been the subject of various published investigations. Unfortunately, the trade-off analysis between the energy consumption and surface characteristics of the internal burnishing has been not addressed due to the expensive cost and huge efforts required. The objective of the present work is to optimize burnishing factors, including the spindle speed, burnishing feed, depth of penetration, and the number of rollers for minimizing the energy consumed in the burnishing time, as well as surface roughness and maximizing Rockwell hardness. An adaptive neuro-based-fuzzy inference system (ANFIS) was used to develop burnishing objectives in terms of machining parameters. The optimization outcomes were selected using an evolution algorithm, specifically the non-dominated sorting particle swarm optimization (NSPSO). The results of the proposed ANFIS models are significant and can be employed to predict response values in industrial applications. The optimization technique comprising the ANFIS and NOPSO is a powerful approach to model burnishing performances and select optimal parameters as compared to the trial and error method as well as operator experience. Finally, the optimal solution can help to achieve the improvements in the energy consumed by 16.3 %, surface roughness by 24.3 %, and Rockwell hardness by 4.0 %, as compared to the common values.

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Section: Parametric Influencessupporting

confidence: 73%

Section: Parametric Influencessupporting

confidence: 54%

Section: Introductionmentioning

confidence: 77%

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Optimization of the Internal Roller Burnishing Process for Energy Reduction and Surface Properties

Nguyen

Thai

2021

SV-JME

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“…The "lack of fit" greater than 0.05 for CW and T models postulated another evidence of adequacy of regression models. Thereafter, sum of squares of individual term was divided by total sum of squares to find their relative contribution on responses of interest [41]. For confirmation of normal distribution of experimental data, normal plot of residuals were plotted for chipping width and taper as shown in Fig.…”

Section: Anova Of Regression Modelsmentioning

confidence: 99%

Investigation of hole quality in rotary ultrasonic drilling of borosilicate glass using RSM

Kumar

Singh

2018

J Braz. Soc. Mech. Sci. Eng.

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The present article emphasizes on reducing the edge chipping and taper during rotary ultrasonic drilling of one of the most demanded ceramic glasses "BK-7." Statistical tools of design of experiments and backing plate were adopted as two distinct approaches to curb the chipping damage. Central composite design has been conjugated with desirability function for framing the design matrix. This investigation also emphasizes to study the effect of process variables-spindle speed, ultrasonic power and feed rate-on the chipping width (CW) and taper (T). After developing the second-order regression models for the CW and T, analysis of variance was used to check the fitness of regression models and recognizing the significant model terms. Then impact of each process parameter was analyzed on responses of interest through 3-D surface plots. The feed rate came forth as the most dominating factor by having maximum influence over the qualitative aspects "CW" and "T" of the drilling process. Interactions of higher rpm and power with lower feed effectively reduced the CW and T. The backing material, employed during main experimentation, also proved its effectiveness to reduce CW when main experiments results were compared to the results of pilot experimentation, which was performed without backing plate. Scanning electron microscope (SEM) was used to analyze the different tool wear modes and microstructure of machined surfaces. Tool weight measurement revealed the dominance of bond fracture and grain fracture during the early stage of the drilling process. Apart from brittle fracture, SEM also affirmed the presence of plastically deformed regions over the machined surfaces. Little deviations between the predicted values and experimental values during the confirmatory tests validated the prediction accuracy of regression models at 95% confidence level.

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“…It is a cost-effective method, and also minimum knowledge is sufficient to obtain the optimized values. John et al [18] optimized the parameters of roller burnishing on S.G. cast iron using RSM. Yuan et al [19] performed modeling of process parameters and their responses in roller burnishing of TA2 alloy using RSM.…”

Section: Introductionmentioning

confidence: 99%

Selection of optimal process parameters in sustainable diamond burnishing of 17-4 PH stainless steel

Sachin

Narendranath

Chakradhar

2019

J Braz. Soc. Mech. Sci. Eng.

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Secondary finishing operations are the primary requirement of the manufacturing industries to achieve dimensional tolerance of the components. Burnishing is essentially a surface finishing operation usually performed after machining to achieve superfinishing. Diamond burnishing is one of the finest finishing technologies which has been conducted on any surface to attain mirror surface finish. The present work focuses on the development of a correlation model between the process parameters and the output responses while burnishing of 17-4 precipitation hardenable stainless steel using response surface methodology. A novel diamond burnishing tool has been used to analyze the influence of process parameters on output responses in the MQL environment. The control factors considered for the present study include burnishing speed, burnishing feed and burnishing force, and the corresponding output responses considered were surface roughness and surface hardness. The influence of process parameters on output responses has been determined by analysis of variance. Optimization was performed by a multi-objective genetic algorithm. The proposed methodology has been validated by performing experiments at the optimal process parameters, and the achieved results indicate the effectiveness of the diamond burnishing process.

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Optimisation of internal roller burnishing process in CNC machining center using response surface methodology

Cited by 28 publications

References 16 publications

Optimization of the Internal Roller Burnishing Process for Energy Reduction and Surface Properties

Optimization of the Internal Roller Burnishing Process for Energy Reduction and Surface Properties

Investigation of hole quality in rotary ultrasonic drilling of borosilicate glass using RSM

Selection of optimal process parameters in sustainable diamond burnishing of 17-4 PH stainless steel

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