Optimization of Surface Roughness and Vibration During Thermal—Assisted Milling SKD11 Steel Using Taguchi Method

Mac, Thi-Bich; Long, Banh Tien; Nguyen, Duc-Toan

doi:10.1007/978-3-030-45120-2_23

“…This type of steel is popularly used to fabricate parts in various fields such as steel cutters, rolling pins, rollers, gears, dies, etc. Study on milling this steel has been done by a number of authors, such as: Investigation of the effect of nanoparticle concentration, cutting speed and hardness of the workpiece on cutting force when milling in MQL conditions [24]; Simultaneous optimization of two, which are surface roughness and milling vibration [25]; study on the effects of cooling lubricating parameters on surface roughness when milling under MQL condition and minimum quantity cooling lubrication (MQCL) condition [26]; investigation of cutting force, surface roughness and tool wear while milling with laser support [27]; study on improving the efficiency of milling process in MQLC conditions, cutting fluid of MoS2 Nanofluid [28]; study on effect of cutting parameters and cooling lubrication parameters on surface roughness [29], etc. However, no studies have been published to determine type of cutting tool, tool nose radius, cutting speed, cutting depth to simultaneously ensure the criteria of minimum surface roughness, minimum cutting force and maximum MRR when milling this steel up to now.…”

Section: Engineeringmentioning

confidence: 99%

Study on multi-objective optimization of X12M steel milling process by reference ideal method

Lam

¹

2021

Eureka: PE

1

0

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For all machining cutting methods, surface roughness is a parameter that greatly affects the working ability and life of machine elements. Cutting force is a parameter that not only affects the quality of the machining surface but also affects the durability of cutter and the level of energy consumed during machining. Besides, material removal rate (MRR) is a parameter that reflects machining productivity. Workpiece surface machining with small surface roughness, small cutting force and large MRR is desirable of most machining methods. Milling is a popular machining method in the machine building industry. This is considered to be one of the most productive machining methods, capable of machining many different types of surfaces. With the development of the cutting tool and machine tool manufacturing industries, this method is increasingly guaranteed with high precision, sometimes used as the final finishing method. Milling using a face milling cutter is more productive than using a cylindrical cutter because there are multiple cutter s involved at the same time. This article presents a study of multi-objective optimization of milling process using a face milling cutter. The experimental material used in this study is X12M steel. Taguchi method has been applied to design an orthogonal experimental matrix with 27 experiments (L27). In which, five parameters have been selected as the input parameters of the experimental process including insert material, tool nose radius, cutting speed, feed rate and cutting depth. The Reference Ideal Method (RIM) is applied to determine the value of input parameters to ensure minimum surface roughness, minimum cutting force and maximum MRR. Influence of the input parameters on output parameters is also discussed in this study

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Determination of Optimum WEDM Parameters for Minimum Surface Roughness When Cutting SKD11

Quang¹,

Tu

²

,

Lam

³

et al. 2022

Advances in Engineering Research and Application

0

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Multi-objective optimization of SKD11 Steel Milling Process by Reference Ideal Method

Trung

¹

2021

International Journal of Geology

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For all machining cutting methods, surface roughness is a parameter that greatly affects the working ability and life of machine elements. Cutting force is a parameter that not only affects the quality of the machining surface but also affects the durability of cutter and the level of energy consumed during machining. Besides, material removal rate (MRR) is a parameter that reflects machining productivity. Workpiece surface machining with small surface roughness, small cutting force and large MRR is desirable of most machining methods. This article presents a study of multi-objective optimization of milling process using a face milling cutter. The experimental material used in this study is SKD11 steel. Taguchi method has been applied to design an orthogonal experimental matrix with 27 experiments (L27). In which, five parameters have been selected as the input parameters of the experimental process including insert material, tool nose radius, cutting speed, feed rate and cutting depth. Reference Ideal Method (RIM) is applied to determine the value of input parameters to ensure minimum surface roughness, minimum cutting force and maximum MRR. Influence of the input parameters on output parameters is also discussed in this study.

show abstract

Optimization of Surface Roughness and Vibration During Thermal—Assisted Milling SKD11 Steel Using Taguchi Method

Cited by 3 publications

References 17 publications

Study on multi-objective optimization of X12M steel milling process by reference ideal method

Study on multi-objective optimization of X12M steel milling process by reference ideal method

Determination of Optimum WEDM Parameters for Minimum Surface Roughness When Cutting SKD11

Multi-objective optimization of SKD11 Steel Milling Process by Reference Ideal Method

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