Experimental Analysis and Optimization of Cutting Parameters for the Surface Roughness in the Facing Operation of PMMA Material

Dhakad, M. R.

doi:10.9790/1684-17010015260

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…An increase in spindle speed with a low feed rate reduces the feed per tooth, which reduces the amount of material milled, and hence a lower MRR (Kiswanto et al, 2019). These results agreed with the literature (Dhakad et al, 2017;Korkmaz et al, 2017;Pant et al, 2017). An increase in depth of cut and feed rate increases the toolworkpiece contact area and chip removal rate.…”

Section: Single Objective Analysissupporting

confidence: 90%

“…Further, Ali et al (2012) found out that during the micro-milling of PMMA, the feed rate and depth of cut were the most significant parameters towards the generation of machining vibrations, while for the minimum surface roughness, the spindle speed was the most significant. In a PMMA facing operation conducted by Dhakad et al (2017) to optimize the cutting parameters for the best surface finish, it was found out that the feed rate was the most significant parameter followed by the cutting speed and depth of cut. Therefore, the authors recommended the maximum cutting speed, minimum feed rate, and a moderate depth of cut.…”

Section: Introductionmentioning

confidence: 99%

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CNC Milling of Medical-Grade PMMA

Wambua

Mwema

Buddi³

et al. 2022

International Journal of Manufacturing, Materials, and Mechanical Engineering

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This study evaluates CNC milling parameters (spindle speed, depth of cut, and feed rate) on medical-grade PMMA. A single objective analysis conducted showed that the optimal material removal rate (MRR) occurs at a spindle speed of 1250 rpm, a depth of cut of 1.2 mm, and a feed rate of 350 mm/min. The ANOVA showed that feed rate is the most significant factor towards the MRR, and spindle speed (11.83%) is the least contributing. The optimal surface roughness (Ra) occurred at spindle speed of 500 rpm, depth of cut of 1.2 mm, and feed rate of 200 mm/min. The milling factors were insignificant. A regression analysis for prediction was also conducted. Further, a multi-objective optimization was conducted using the Grey Relational Analysis. It showed that the best trade-off between the MRR and the Ra could be obtained from a combination of 1250 rpm (spindle speed), 1.2 mm (depth of cut), and 350 mm/min (feed rate). The depth of cut was the largest contributor towards the grey relational grade (54.48%), followed by the feed rate (10.36%), and finally, the spindle speed (4.28%).

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Section: Single Objective Analysissupporting

confidence: 90%

Section: Introductionmentioning

confidence: 99%

CNC Milling of Medical-Grade PMMA

Wambua

Mwema

Buddi³

et al. 2022

International Journal of Manufacturing, Materials, and Mechanical Engineering

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A Systematic Approach for Developing 3D High-Quality PDMS Microfluidic Chips Based on Micromilling Technology

et al. 2021

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In recent years, there has been an increased interest in exploring the potential of micro-and mesoscale milling technologies for developing cost-effective microfluidic systems with high design flexibility and a rapid microfabrication process that does not require a cleanroom. Nevertheless, the number of current studies aiming to fully understand and establish the benefits of this technique in developing high-quality microsystems with simple integrability is still limited. In the first part of this study, we define a systematic and adaptable strategy for developing high-quality poly(methyl methacrylate) (PMMA)-based micromilled structures. A case study of the average surface roughness (Ra) minimization of a cuboid column is presented to better illustrate some of the developed strategies. In this example, the Ra of a cuboid column was reduced from 1.68 μm to 0.223 μm by implementing milling optimization and postprocessing steps. In the second part of this paper, new strategies for developing a 3D microsystem were introduced by using a specifically designed negative PMMA master mold for polydimethylsiloxane (PDMS) double-casting prototyping. The reported results in this study demonstrate the robustness of the proposed approach for developing microfluidic structures with high surface quality and structural integrability in a reasonable amount of time.

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Machining of Poly Methyl Methacrylate (PMMA) and Other Olymeric Materials

Mwema¹,

Wambua²

2022

Advances in Chemical and Materials Engineering

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Polymers have been adopted industrially in the manufacture of lenses for optical applications due to their attractive properties such as high hardness, high strength, high ductility, high fracture toughness, and also their low thermal and electrical conductivities. However, they have limited machinability and are therefore classified as hard-to-machine materials. This study conducts a critical review on the machining of various polymers and polymeric materials, with particular focus on poly (methyl methacrylate) (PMMA). From the review it was concluded that various machining parameters affect the output qualities of polymers and which include the spindle speed, the feed rate, vibrations, the depth of cut, and the machining environment. These parameters tend to affect the surface roughness, the cutting forces, delamination, cutting temperatures, tool wear, precision, vibrations, material removal rate, and the mechanical properties such as hardness, among others. A multi-objective optimization of these machining parameters is therefore required, especially in the machining of PMMA.

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Experimental Analysis and Optimization of Cutting Parameters for the Surface Roughness in the Facing Operation of PMMA Material

Cited by 3 publications

References 2 publications

CNC Milling of Medical-Grade PMMA

CNC Milling of Medical-Grade PMMA

A Systematic Approach for Developing 3D High-Quality PDMS Microfluidic Chips Based on Micromilling Technology

Machining of Poly Methyl Methacrylate (PMMA) and Other Olymeric Materials

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