Optimization of Cutting Parameters to Minimize the Surface Roughness in the End Milling Process Using the Taguchi Method

Ribeiro, José Carlos Rabelo; Lopes, H.; Queijo, Luís; Figueiredo, Daniel

doi:10.3311/ppme.9114

Cited by 40 publications

(27 citation statements)

References 9 publications

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“…Through the mapping in the Taguchi method, the values of the repeated quality characteristics under the same conditions can be processed to find out the factors that can affect the variation. Using the signal-to-noise ratio (S/N), the value of the repetitive quality characteristics is integrated into the value for the size of reactive variation [12].…”

Section: Taguchi Methodsmentioning

confidence: 99%

Optimization of Machining Parameters Using Fuzzy Taguchi Method for Reducing Tool Wear

2018

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Manufacturing industries are gradually changing to green production due to the increasing production cost. Reducing tool wear in production can not only decrease production cost but also the effect the environment. Thus, it becomes a crucial issue for the machining industry. This study investigates the optimal machining parameters for the computer numerical controlled turning process of S45C steel in minimizing tool wear. The correlation between control parameters (speed, cutting depth, and feed rate) and production quality were constructed by using semantic rules and fuzzy quantification. The Taguchi method was additionally employed to determine the optimal turning parameters. Under the consideration of environmental protection and tool cost, the optimal machining parameters were furthermore derived from the fuzzy semantic rules. The practicability of the optimal parameters was moreover verified through turning experiments. It is found that the proposed method in this study is appropriate and applicable to universal applications.

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Section: Taguchi Methodsmentioning

confidence: 99%

Optimization of Machining Parameters Using Fuzzy Taguchi Method for Reducing Tool Wear

2018

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“…With the help of a Mathematical model, Burlacu et al [13] tried to minimize surface roughness in micro-milling of C45W steel. Using Taguchi L9 orthogonal array in end milling of hardened steel block, João et al [14] tried to find the control factor to optimize the surface roughness. They identified that Radial depth of cut is the most influencing factor in minimizing surface roughness.…”

Section: Introductionmentioning

confidence: 99%

Influence of Cutting Parameters and Tool Path Strategies on Surface Roughness in Pocket Milling of UNS A96082 Alloy

Rajyalakshmi,

Babu

2019

IJEAT

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CNC Pocket Milling is the commonly employed machining process in molding, aircraft building, and shipbuilding industries. Surface integrity is one of the main quality parameters considered to accept the component. In the present work, an attempt is made to optimize the cutting factors in pocket milling of UNS A96082 using two different tool path strategies to get a better surface finish. Speed, Feed and Step over are considered as influencing parameters in the present study for measuring surface roughness. Taguchi experimental design method is employed to conduct experiments and to optimize the cutting parameters. It is observed that the results obtained from confirmation experiments also show nearer value for predicted surface roughness

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“…Among the most commonly used techniques for the design of experiments (DOE), such as the factorial and response surface method (RSM), the Taguchi technique is considered to be very effective since it offers a quality and simplicity to have an optimized design with an optimum cost [19]. The Taguchi technique is used to find out the best factors amongst the total operating factors by avoiding the full factorial experiment runs [20].…”

Section: Design Of Experiments (Doe)mentioning

confidence: 99%

Tribological Characterization of Ni-Free Duplex Stainless Steel Alloys Using the Taguchi Methodology

Daraghma

Samad

Toor

et al. 2020

Metals

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Duplex stainless steels (DSSs) exhibit excellent corrosion resistance and are being used in a variety of industrial applications. Reducing/eliminating the amount of nickel in such alloys will contribute significantly to its economic viability. Moreover, a well-established wear behavior for these alloys is also an essential development in most of their applications. Hence, in this work, the Taguchi technique was effectively implemented to investigate the effect of operating factors such as sliding speed and applied load on the wear behavior of different compositions of nickel-free DSSs. It was observed that the composition had a higher contribution of 33.66% to the wear rate (WR) and the contribution of the sliding speed to the coefficient of friction (COF) was found to be 68.17%. With a good agreement, a regression model was also developed to predict the WR and COF within a certain range of factors. Wear tests have also shown that the developed nickel-free DSS is a promising candidate in terms of wear resistance as compared to austenitic stainless steels (ASS).

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Optimization of Cutting Parameters to Minimize the Surface Roughness in the End Milling Process Using the Taguchi Method

Abstract: Abstract

Cited by 40 publications

References 9 publications

Optimization of Machining Parameters Using Fuzzy Taguchi Method for Reducing Tool Wear

Optimization of Machining Parameters Using Fuzzy Taguchi Method for Reducing Tool Wear

Influence of Cutting Parameters and Tool Path Strategies on Surface Roughness in Pocket Milling of UNS A96082 Alloy

Tribological Characterization of Ni-Free Duplex Stainless Steel Alloys Using the Taguchi Methodology

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