A prediction method of cutting force coefficients with helix angle of flat-end cutter and its application in a virtual three-axis milling simulation system

Kao, Yung‐Chou; Nguyen, Nhu-Tung; Chen, Mau-Sheng; Su, Shin-Tzong

doi:10.1007/s00170-014-6550-8

Cited by 39 publications

(14 citation statements)

References 34 publications

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“…In milling processes, with both cutting force modelling theories and experiments, the cutting forces had been modelled and verified for many tool types such as flat-end mill [5] to [7], ball-end mill [8] and [9], bull-end mill [10], and general-end mill [11].…”

Section: Introductionmentioning

confidence: 99%

Cutting Forces and Surface Roughness in Face-Milling of SKD61 Hard Steel

Hoang¹,

Nguyen²,

Tran³

et al. 2019

SV-JME

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This experimental study investigated the effects of milling conditions on cutting forces and finished surface roughness. The face-milling processes were performed using heat-treated SKD61 steel at a hardness of 46 HRC. With three controllable factors/levels (cutting speed, axial depth of cut, and feed rate), the most suitable orthogonal array L 27 was performed with four performance measurements that are amplitudes of cutting forces in three directions (feed, normal, and axial) and surface roughness. With ANOVA analysis, the effect of cutting conditions on the amplitudes of cutting forces and surface roughness were analysed and modelled. The most suitable regression of the cutting force's amplitudes and surface roughness was a quadratic regression with the confidence level is more than 93.74 %, and they were successfully verified via experimental results with very promising results. The relationship between cutting force and surface roughness was also investigated. Furthermore, using the Taguchi and ANOVA methods, the optimization process of surface roughness was performed with very close results (different of surface roughness about 4.58 %). The approach method of the present study can be applied in industrial machining to improve the surface quality in finish face-milling the SKD61 hard steel.

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Section: Introductionmentioning

confidence: 99%

Cutting Forces and Surface Roughness in Face-Milling of SKD61 Hard Steel

Hoang¹,

Nguyen²,

Tran³

et al. 2019

SV-JME

Self Cite

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“…Imani et al [4] used time finite element analysis (TFEA) to investigate the effects of helix angle variations on the cutting force, cutting time, specific cutting force coefficients, and the stability of the low immersion milling. Kao et al [5] developed a linear force model that incorporated the helix angle of a flat endmill into the calculation of the cutting force coefficients. In their model, the cutting force coefficients were formulated based on the average cutting forces and endmill geometric parameters such as: the diameter, number of cutting edges, and the helix angle.…”

Section: Introductionmentioning

confidence: 99%

Effects of geometric parameters of wavy-edge bull-nose helical end-mill on cutting force prediction in end-milling of Inconel 718 under MQL cooling strategy

Sultan

Okafor

2016

Journal of Manufacturing Processes

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“…Our research team has been devoted to engineering education, including machine tool education , engineering innovation education , and software engineering education for several years. We have also studied many techniques to develop superior solutions for VR‐based machine tools and have tried to apply the techniques in training . Because teachers’ teaching design is an important factor that affects the performance of the training, we compared the training performance of different teaching designs for machine tool education in this study.…”

Section: Methodsmentioning

confidence: 99%

Investigating the learning performances between sequence‐ and context‐based teaching designs for virtual reality (VR)‐based machine tool operation training

Chen

Tsai

Kao

et al. 2019

Comp Applic In Engineering

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Background: Training workers in machine tool operations is indispensable. Because training course at school with real machine tools is costly and dangerous, most researchers have concentrated on developing and adopting virtual reality (VR)-based applications. However, to improve students' learning performance levels, teaching design is imperative.Purpose: This study hopes to investigate the performance differences between sequence-(traditional) and context-based teaching designs along with a selfdeveloped VR computer numerical control (VRCNC) training environment. Method: Experimental design, sequence-and context-based teaching designs were developed for this study. Forty male senior students were recruited from the department of mechanical engineering at an industrial high school. Then, corresponding pretests, teaching activities and posttests were implemented based on the proposed teaching and experimental designs. Finally, experiment-, questionnaire-, and interview-based performance evaluations were utilized to conduct the final comparison and conclusion.Results: Averagely, the context-based teaching design exhibited superior results for mostly the learning performances. The survey results also revealed that the students obtain more satisfaction and self-confidence after the context-based teaching.Conclusions: According to the results, the context-based teaching design has obvious improvement on the performance of machine tool operation training. Three types of evaluation results provides a comprehensive support for the proposed context-based teaching design along with the VRCNC in machine tool education. K E Y W O R D Scontext-based teaching design, experimental design, learning performance evaluation, machine tool education, virtual reality (VR)

show abstract

A prediction method of cutting force coefficients with helix angle of flat-end cutter and its application in a virtual three-axis milling simulation system

Cited by 39 publications

References 34 publications

Cutting Forces and Surface Roughness in Face-Milling of SKD61 Hard Steel

Cutting Forces and Surface Roughness in Face-Milling of SKD61 Hard Steel

Effects of geometric parameters of wavy-edge bull-nose helical end-mill on cutting force prediction in end-milling of Inconel 718 under MQL cooling strategy

Investigating the learning performances between sequence‐ and context‐based teaching designs for virtual reality (VR)‐based machine tool operation training

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