Optimasi Parameter Pemesinan Menggunakan Metode Taguchi Untuk Meningkatkan Kualitas Kebulatan Pada Pembubutan Internal Material S45C

Pribadi, Joko Setia; Yulianto, Yulianto; Girawan, Bayu Aji

doi:10.35970/infotekmesin.v11i1.104

Cited by 2 publications

(5 citation statements)

References 1 publication

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“…The desirable effect to the response is called signal. Based on Figure 1, shows that with carriage auto motion (1) the SN ratio value is on the standard range of turning process. Figure 2 shows that the surface roughness increase as spindle speed decrease and feed rate increase.…”

Section: Resultsmentioning

confidence: 97%

“…Stages of Experiment Implementation The stage of implementing this experiment is an important stage in collecting test results. If an experiment is implemented according to a well-designed one, it will make it easier for researchers to conduct analysis and can get more accurate results [1]. 3.…”

Section: Taguchi Methodsmentioning

confidence: 99%

“…So that the one with the smallest value or close to zero is the better value [8]. The equation to calculate the value of smaller is better are as follows [1]:…”

Section: Taguchi Methodsmentioning

confidence: 99%

“…The development of technology and manufacturing science is growing rapidly, this can be seen from the increase in production output [1]. The increase in production output is directly proportional to the increase in production quality [2].…”

Section: Introductionmentioning

confidence: 99%

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Surface Roughness Analysis and Optimization for ST 37 Steel in Lathe Operation using Design of Experiments Method

Siti Nurrohkayati,

Syach,

Takdir

2024

J. Phys.: Conf. Ser.

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The machining process is one of the processes used to process steel materials. The value or level of material roughness is one of the values that is considered in the machining process, according to the desired roughness value. One example is in the turning process, spindle speed, depth of feed, and feed motion are factors that can affect the level of roughness of a material. The level of roughness that is not according to demand is one of the problems in the manufacturing industry, especially in the results of the turning process. One of the causes of the discrepancy in the roughness value is because the parameters used are not suitable. Therefore, this study aims to determine the optimal parameters in the turning process to obtain the optimal roughness value, and to determine the parameters that most influence the roughness of the turning process. In this study, ST 37 steel was used. This study used an experimental design method with Orthogonal Array L8. The experiment was carried out with 5 control factors and 3 noise factors. Each factor has 2 levels and is repeated 8 times. In this study using a conventional lathe and for roughness testing using a Surface Roughness Tester. Based on the results of data analysis, the movement factor has the highest influence on the surface roughness value. The ranking factors that affect the roughness value are as follows: spindle speed of 345 rpm, feed motion of 0.051 mm/rad, depth of cut 1 mm, dry cooling, and automatic sledding. The Design of Experiments (Taguchi) method use quality characteristics to determine the results of the analysis. In this study, the quality characteristic is smaller the better. Smaller the better characteristics is where the smaller value, then better the quality. In variations of the spindle rotation speed and feed motion, we get where if the spindle speed is high and the feed motion is low it will produce a low level of roughness, whereas if the spindle speed is low and the feed movement is high it will produce a high level of roughness.

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Section: Resultsmentioning

confidence: 97%

Section: Taguchi Methodsmentioning

confidence: 99%

“…So that the one with the smallest value or close to zero is the better value [8]. The equation to calculate the value of smaller is better are as follows [1]:…”

Section: Taguchi Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Surface Roughness Analysis and Optimization for ST 37 Steel in Lathe Operation using Design of Experiments Method

Siti Nurrohkayati,

Syach,

Takdir

2024

J. Phys.: Conf. Ser.

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“…Setelah nilai S/N ratio diperoleh maka dilakukan ANOVA untuk semua parameter pemotongan sehingga kontribusi parameter secara bersamaan terhadap kekasaran permukaan dapat diperkirakan (Pribadi, Yulianto, & Girawan, 2020). Hasil pengolahan data ditunjukan pada Tabel 8.…”

Section: Pengaruh Keseluruhan Parameter Terhadap Kekasaran Permukaanunclassified

Optimasi Parameter Pemotongan CNC Wet Milling Terhadap Kekasaran Permukaan Stainless Steel Aisi 304

Mulyana

Azmy²,

Gabrian³

et al. 2022

JPTM

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Optimization of CNC wet milling cutting parameters for stainless steel AISI 304 was successfully attempted by using Taguchi method (S/N ratio and ANOVA). L9 orthogonal array is utilized for designing the experiments with 3 levels of spindle speeds and feed rates with an increment depth of cut. The effect of cutting parameters on surface roughness was examined. According to S/N ratio’s response table, the result obtained for spindle speed fervently indicates that spindle speed is the most pivotal factor for impacting the surface roughness than feed rate for stainless steel AISI 304. ANOVA results depicted that the contribution percentage of spindle speed for surface roughness is higher than feed. Optimum values of cutting parameters were endowed at a spindle speed of 3184 rpm and a feed rate of 1528,4 mm/min. The experimental values at optimum cutting condition were compared with predicted values and it reveals a significant congruity with the experimental results with a low error percentage. Therefore, this experiment aims to develop the productivity and quality of CNC milling operations for stainless steel AISI 304. In addition, number of studies for cutting parameter optimization stainless steel AISI 304 was not barely done yet. Hereafter, more investigations still needed to optimize the cutting parameters of this stainless steel AISI 304 for various machining operations specifically on CNC milling process.

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Optimasi Parameter Pemesinan Menggunakan Metode Taguchi Untuk Meningkatkan Kualitas Kebulatan Pada Pembubutan Internal Material S45C

Cited by 2 publications

References 1 publication

Surface Roughness Analysis and Optimization for ST 37 Steel in Lathe Operation using Design of Experiments Method

Surface Roughness Analysis and Optimization for ST 37 Steel in Lathe Operation using Design of Experiments Method

Optimasi Parameter Pemotongan CNC Wet Milling Terhadap Kekasaran Permukaan Stainless Steel Aisi 304

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