Effect of tool microstructure on machining of titanium alloy TC21 based on simulation and experiment

Qian, Xiaohua; Duan, Xiongying

doi:10.1007/s00170-020-06248-z

Cited by 11 publications

(5 citation statements)

References 38 publications

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“…The consequences revealed that decreased in serration of scrapes and wear of tool insert and improved machining effectiveness of this alloy were obtained by varying tool rake angles. Finally, 3D simulation is very narrow with experimental results [13][14][15][16].…”

Section: Literature Reviewmentioning

confidence: 99%

Turning parameters optimization for machining TC21 Ti- alloy Using Taguchi Technique

Sobh¹,

Sayed

Barakat³

et al. 2022

Preprint

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The development of materials fabrication is an important trend in materials engineering. TC21) is one of these materials trend. This study aims to improve surface roughness and wear of tool insert using a turning process. To achieve this aim, experimental work will be conducted under three varying cutting parameters, each one of them with three levels. Cutting speeds (V) of 80, 100 and 120 m/min, feed rates (f) of 0.05, 0.10 and 0.15 mm/rev and cutting depth (a) of 0.2, 0.4 and 0.6 mm. The turning experiments optimization will be determined using the Taguchi technique by applying orthogonal array (OA) L9. Minitab (19) software is utilized to get the optimum turning parameters using analysis of signal to noise ratio (S/N). The results revealed that the cutting depth, and the cutting speed are the most significant parameters on surface roughness and wear of tool insert, respectively. Minimum surface roughness at V = 80 m/min, f = 0.10 mm/rev and a = 0.4 mm is 0.16 dB, and maximum surface roughness at V = 80 m/min, f = 0.15 mm/rev, and a = 0.6 mm is 0.72 dB. Minimum tool wear at V = 100 m/min, f = 0.15 mm/rev, and a = 0.2 is 187.770 µm, and the maximum tool wear at V = 80 m/min, f = 0.10 mm/rev, and a = 0.4 mm is 274.896 µm. Additionally, the validation model indicated that the deviation value of surface roughness is 6.564% (< 10%), and of tool wear is 8.76% (< 10%).

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Section: Literature Reviewmentioning

confidence: 99%

Turning parameters optimization for machining TC21 Ti- alloy Using Taguchi Technique

Sobh¹,

Sayed

Barakat³

et al. 2022

Preprint

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“…Their results shown that textured tools exhibit better performance than the conventional tools. Qian et al [12] analyzed the effect of micro-textures on tool performance while machining of Titanium (TC 21) alloy by finite element model (FEM). The simulations results were compared with experimental results and it shown that microtextured tool exhibits the better cutting performance than the conventional tool.…”

Section: Introductionmentioning

confidence: 99%

High Speed Steel Tool Performance through Hybrid Texturing Followed by Shock Peening towards Sustainable Machining

Prasad,

Ismail,

Satish

2024

J. Mach. Manuf. Reliab.

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Surface texturing is a promising sustainable technique to get better the machining performance of cutting tools. Laser surface texturing and micro-EDM are the most commonly used fabrication techniques and the textured tools exhibit better tool performance as compared to conventional tool. However, these processes involve re-solidification of material surface which makes the surface softening and reduction in the surface hardness. In the present work, cutting performance of the High-Speed Steel (HSS) tool is studied by fabricating hybrid (microgrooves with dimples) textures on its rake face using both laser ablation and micro-EDM methods followed by laser shock peening without ablative coating (LSPWAC) process. Hybrid textured with shock peened HSS tools are used in orthogonal dry turning of 316 L stainless steel. It has been observed that hybrid textures with shock peened HSS tool exhibits higher tool life of up to 255% and 85% than the conventional and the hybrid textured (HT) tools respectively. The results shown that surface texturing followed by shock peening is an innovative method to improve the sustainability in machining process than only surface texturing method. Moreover, analysis of chip is studied by finite element analysis.

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“…Additional research focused on the effects of tool microstructure and variations in tool rake angle on the machinability of TC21 Ti-alloy 19 . Using finite element analysis, these studies assessed the cutting performance of the alloy, while turning operations were simulated using the Johnson–Cook (JC) technique and 3D finite element analysis 20 . The findings indicated that adjustments to the tool rake angle decreased scrape serration, reduced wear on the tool insert, and enhanced the machining efficiency of the alloy.…”

Section: Introductionmentioning

confidence: 99%

Optimization of machining parameters for turning operation of heat-treated Ti-6Al-3Mo-2Nb-2Sn-2Zr-1.5Cr alloy by Taguchi method

Elshaer,

El-Aty,

Sayed

et al. 2024

Sci Rep

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TC21 alloy is a high-strength titanium alloy that has been gaining attention in various industries for its excellent combination of strength, toughness, and corrosion resistance. Given that this alloy is hard to cut material, therefore this study aims to optimize the process parameters of Turing this alloy under different conditions (i.e. as-received alloy, and heat-treated alloy). The L9 Taguchi approach-base orthogonal array is used to determine the optimum cutting parameters and the least number of experimental trials required. The achievement of this target, three different cutting parameters are used in the experimental work; each cutting parameter has three levels. The cutting speeds are chosen as 120, 100, and 80 m/min. The feed rates’ values are 0.15, 0.1, and 0.05, mm/rev, and the depth of cut values are 0.6, 0.4, and 0.2 mm. After applying three steps of heat treatment (First step: is heating the sample to 920 °C for 1 h then decreasing to 820 °C also for 1 h, second step: cooling the sample to room temperature by water quenching (WQ), the third step: holding the sample at 600 °C for 4 h (Aging process)). The results revealed that the triple heat treatment led to the change in the microstructure from (α + β) to (α + β) with secondary α platelets (αs) formed in residual β matrix leading to a decreased surface roughness by 56.25% and tool wear by 24.18%. The two most critical factors that affect the tool insert wear and surface roughness are the death of cut and cutting speed, which contribute 46.6% and 46.7% of the total, respectively. Feed rate, on the other hand, has the least importance, contributing 20.2% and 31.9% respectively.

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Effect of tool microstructure on machining of titanium alloy TC21 based on simulation and experiment

Cited by 11 publications

References 38 publications

Turning parameters optimization for machining TC21 Ti- alloy Using Taguchi Technique

Turning parameters optimization for machining TC21 Ti- alloy Using Taguchi Technique

High Speed Steel Tool Performance through Hybrid Texturing Followed by Shock Peening towards Sustainable Machining

Optimization of machining parameters for turning operation of heat-treated Ti-6Al-3Mo-2Nb-2Sn-2Zr-1.5Cr alloy by Taguchi method

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