Experiments, analysis and parametric optimization of cylindrical traverse cut grinding of aluminium bronze

Chatterjee, Saikat; Rudrapati, Ramesh; Pal, P. K.; Nandi, Goutam

doi:10.1016/j.matpr.2017.12.110

Cited by 18 publications

(13 citation statements)

References 18 publications

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“…Grinding is an important finishing process for many engineering components to give the best surface quality and the highest accuracy to various hard-to-machine metallic alloys [1]. In a certain grinding process, cutting mode parameters are flexibly controlled.…”

Section: Introductionmentioning

confidence: 99%

“…In a certain grinding process, cutting mode parameters are flexibly controlled. Meanwhile, the cutting mode parameters directly influence the technical and economic efficiency of the grinding process [1][2][3]. Thus, a problem that continues to confront the manufacturing industry is the establishment of optimal grinding mode parameters.…”

Section: Introductionmentioning

confidence: 99%

“…In 2018, the influence of grinding parameters on surface temperature and burn behaviors of grinding rail were investigated by B. Lin et al [5]. In 2018, Saikat Chatterjee [1] analyzed the influences of cutting mode parameters on surface roughness of cylindrical traverse cut grinding of aluminum bronze material. In addition, the optimal cutting mode parameters were determined by the Taguchi method.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimization of Grinding Parameters for Minimum Grinding Time When Grinding Tablet Punches by CBN Wheel on CNC Milling Machine

Nguyen

Tran

et al. 2019

Applied Sciences

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Cutting regime parameters play an important role in determining the efficiency of the grinding process and the quality of the ground parts. In this study, the influences of the cutting parameters, including the cutting depth (ae), the feed rate (Fe) and the wheel speed (RPM) on the grinding time when grinding tablet shape punches by a cubic boron nitride (CBN) wheel on a CNC (Computerized Numerical Control) milling machine are investigated. The Taguchi technique based on orthogonal array and analysis of variance (ANOVA) was then applied to design the number of experiments and evaluate the influence of cutting depth, feed rate and wheel speed on the grinding time. The results show that among the three cutting parameters, the most influential parameter on the grinding time is the cutting depth. The second influential parameter on the grinding time is the feed rate. The least influential parameter on grinding time is the wheel speed. In addition, the optimal condition of cutting parameters obtained for grinding tablet shape punches by cubic boron nitride wheels on a CNC milling machine are a cutting depth of 0.03 mm, wheel speed of 5000 rpm and feed rate of 3500 mm/min. This optimum cutting parameters ensure the least grinding time.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimization of Grinding Parameters for Minimum Grinding Time When Grinding Tablet Punches by CBN Wheel on CNC Milling Machine

Nguyen

Tran

et al. 2019

Applied Sciences

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show abstract

“…Up to now, a number of studies have been done on the optimization of different grinding types. The researches have been carried out on external cylindrical grinding [2][3][4][5], surface grinding [6][7][8] and belt grinding [9]. The studies in this area have been implemented not only on the CNC (Computer Numerical Control) grinding machine [10] but also on the CNC milling machine [11].…”

Section: Introductionmentioning

confidence: 99%

Optimization of Replaced Grinding Wheel Diameter for Minimum Grinding Cost in Internal Grinding

Tran

Nguyen

et al. 2019

Applied Sciences

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This paper shows an optimization study on calculating the optimum replaced wheel diameter in internal grinding of stainless steel. In this work, the effects of the input factors, including the initial diameter, the grinding wheel width, the ratio between the length and the diameter of the work-pieces, the dressing depth of cut, the wheel life and the radial grinding wheel wear per dress on the optimum replaced grinding wheel diameter were considered. Also, the effects of cost components, including the cost of the grinding machine and the wheel cost were examined. Moreover, to estimate the influences of these parameters on the optimum replaced diameter, a simulation experiment was given and conducted by programming. From the results of the study, a regression equation was proposed to calculate the optimum replaced diameter.

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“…The surface roughness generated during grinding depends on the number of process parameters which may interact in their influence on surface roughness during the grinding process. They include the material of the workpiece [11], type of abrasives [12], cutting fluids, cooling methods [13,14], cutting oil viscosity [15], design of a coolant nozzle [16] and cutting parameters such as grinding speed, grinding depth, feed rate [17][18][19]. These factors can influence surface roughness individually or collectively.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Surface Roughness of Ti-6Al-4V for Surface Grinding under Different Cooling Methods Using Conventional and Vegetable Oil-based Cutting Fluids

Ronoh¹,

Karuri²,

Mwema³

et al. 2019

Tribol. Ind.

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In this research study, the surface roughness of medical grade Ti-6Al-4V alloy was evaluated to understand the effects of cutting fluids, cooling methods, and grinding depths after surface grinding with alumina wheel. Three cutting fluid types namely sunflower oil, sunflower oil-based cutting fluid, and conventional cutting oil were applied to the grinding zone using two cooling methods: minimum quantity lubrication and wet cooling methods. The grinding was undertaken at grinding depths of 0.005, 0.010, and 0.015 mm. The surface roughness of the ground surfaces was determined using a surface profiler. An analysis of variance demonstrated that the individual contributions of cutting fluid types, cooling methods and grinding depths to surface roughness were 42.7 %, 8.46 % and 40.61 % respectively. The design of the experiment was done using Taguchi L9 orthogonal array to determine the collective contributions of the grinding parameters. The analysis of the signal-to-noise ratio shows that the optimal surface roughness of Ti-6Al-4V was obtained with sunflower oil-based cutting fluid, a minimum quantity lubrication of 0.67L/h and a grinding depth of 0.005 mm. This study provides novel evidence of how grinding parameters can be used collectively to optimize Ti-6Al-4V machining.

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Experiments, analysis and parametric optimization of cylindrical traverse cut grinding of aluminium bronze

Cited by 18 publications

References 18 publications

Optimization of Grinding Parameters for Minimum Grinding Time When Grinding Tablet Punches by CBN Wheel on CNC Milling Machine

Optimization of Grinding Parameters for Minimum Grinding Time When Grinding Tablet Punches by CBN Wheel on CNC Milling Machine

Optimization of Replaced Grinding Wheel Diameter for Minimum Grinding Cost in Internal Grinding

Evaluation of the Surface Roughness of Ti-6Al-4V for Surface Grinding under Different Cooling Methods Using Conventional and Vegetable Oil-based Cutting Fluids

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