Surface Roughness Analysis in the Hard Milling of JIS SKD61 Alloy Steel

Nguyen, Huu-That; Hsu, Quang‐Cherng

doi:10.3390/app6060172

Cited by 34 publications

(32 citation statements)

References 33 publications

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“…The impact of each parameter was determined by using S/N ratio, which helped to find the strength of experiments for the optimization of cutting parameters [9]. There exist three quality characteristics of the Taguchi technique known as the higher-the-better (HB), the lower-the-better (LB) and the nominal-the-best (NB) [6][7][8][9][10][11][12][13][14]. In this study, LB criterion was selected to be corresponding to the objective to achieve the least grinding time [6][7][8][9][10][11][12][13][14].…”

Section: Design Of Experimentsmentioning

confidence: 99%

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: Design Of Experimentsmentioning

confidence: 99%

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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“…The Taguchi method was usually employed to obtain the optimal process parameters in different applications [16][17][18][19][20], which was also used in the present study. The roundness, straightness and offset of the leaf springs are regarded as three responsive variables.…”

Section: Taguchi Experimentsmentioning

confidence: 99%

Precision Manufacturing of Patterned Beryllium Bronze Leaf Springs via Chemical Etching

Wang

et al. 2018

Applied Sciences

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Patterned leaf springs made of a beryllium bronze sheet are the key components of certain micro/nano contact probes. The accuracy of the probe is determined based on the precision of the formed pattern. However, a traditional manufacturing method using wire-electrode discharge machining (wire-EDM) is subject to poor tolerance at the sharp edges and corners. In addition, high energy consumption and costs are incurred for complex patterns. This paper presents a new chemical etching method for the manufacturing of a patterned leaf spring with high precision. Both the principle and process are introduced. Taguchi experiments were designed and conducted and the optimal process parameters were obtained based on the mean value and a variance analysis. Four V-shaped and some other complex patterned leaf springs were successfully fabricated. Comparison experiments concerning the characteristic parameters of the leaf spring were also conducted. The experimental results reveal that the patterned leaf springs manufactured through this method are much better than those achieved using wire-EDM. This manufacturing method can be used to fabricate different high-precision patterned leaf springs or membranes for coordinate measuring machines (CMM) probes and other measuring equipment.

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“…Former researchers have attempted to minimize the surface roughness for the machining process of stainless 316 [3], AISI 1019 [4], and EN 353 material [5]. Similarly, cutting parameters were optimized in an effort to decrease the roughness value in the milling processes of Al alloy [6][7][8], SKD61 [9], and AISI H13 [10]. Recently, investigators solved the trade-off among multiresponses regarding surface quality, energy consumed, and processing efficiency.…”

Section: Introductionmentioning

confidence: 99%

Optimization Parameters of Milling Process of Mould Material for Decreasing Machining Power and Surface Roughness Criteria

et al. 2019

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Improving milling performances is an effective solution to decrease the costs required. This paper addressed a multi-response optimization to simultaneously decrease the machining power consumed Pm, arithmetical roughness Ra, and ten-spot roughness Rz. The Grey-Response Surface Method-Multi Island Genetic Algorithm (GRMA) consisting of grey relational analysis (GRA), response surface method (RSM), and multi-island genetic algorithm (MA) was proposed to predict the optimal parameters and yield optimum milling performances. The experimental trials were conducted with the support of a CNC milling center. The influences of spindle speed (S), depth of cut (ap), feed rate (fz), and tip radius (r) were explored using GRA. The nonlinear relationship between machining parameters and grey grade (GG) model was developed using RSM. Finally, two optimization techniques, including desirability approach (DA) and MA were performed to observe the optimal values. The results indicated that the machining power was greatly affected by processing factors and the radius has a significant impact on the roughness criteria. The measured reductions using optimal parameters of Pm, Ra, and Rz are approximately 77.05%, 50.00%, and 58.02%, respectively, as compared to initial settings. The GRMA can be considered as an effective approach to generate reliable values of processing conditions and technological performances in the milling process.

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Surface Roughness Analysis in the Hard Milling of JIS SKD61 Alloy Steel

Cited by 34 publications

References 33 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

Precision Manufacturing of Patterned Beryllium Bronze Leaf Springs via Chemical Etching

Optimization Parameters of Milling Process of Mould Material for Decreasing Machining Power and Surface Roughness Criteria

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