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Texture Development During Cold Rolling of a β -Ti Alloy: Experiments and Simulations
Metallurgical and Materials Transactions A ( IF 2.8 ) Pub Date : 2021-01-25 , DOI: 10.1007/s11661-020-06117-0
Aman Gupta , Rajesh Kisni Khatirkar , Amit Kumar , Khushahal Sunil Thool , Nitish Bhibhanshu , Satyam Suwas

Microstructure evolution and texture development during cold rolling of a Ti15333 alloy were systematically investigated in the present work. Texture was simulated using mean-field [Visco-Plastic Self-Consistent (VPSC) and Taylor] models. Evolution of crystallographic texture was also simulated using the Visco-Plastic Fast Fourier Transform (VPFFT) model. The as-received samples (in the hot-forged and hot-rolled condition) were cold rolled unidirectionally up to 20, 40, 60 and 80 pct thickness reductions. Increase in the cold-rolling reduction resulted in changes in the crystallographic texture as well as grain morphology. The initial hot-rolled sample consisted of in-grain shear bands that were aligned approximately ± 35 to 40 ° with respect to the sample rolling direction. Shear band density gradually increased with the increase in cold-rolling reduction, and these bands usually represent narrow zones of intense strain. α (RD//〈110〉) and γ (ND//〈111〉) fibers were observed in all the cold-rolled samples. The volume fraction of both these fibers was found to be highest for the 80 pct deformed sample. For mean-field simulations, the normalized difference of the texture index (normalized TIdiff) was found to be a good criterion to represent the match between the simulated and experimental texture. The affine model (VPSC) was found to give a good match with the experimental texture compared to the Taylor models. The γ-fiber and α-fiber were always overestimated in mean-field VPSC simulations. Extensive shear band formation could be the possible reason for mismatch between the simulated and experimental texture. For VPFFT simulations, the general texture evolution involved the intensification of the γ-fiber and α-fiber texture. Simulated texture was reasonably well predicted quantitatively with VPFFT, analyzed based on the volume fraction of the different texture fibers/components.



中文翻译:

β-Ti合金冷轧过程中的织构发展:实验和模拟

在本工作中,系统地研究了Ti15333合金冷轧过程中的微观组织演变和织构发展。使用均场[粘塑性自洽(VPSC)和泰勒(Taylor)]模型模拟纹理。晶体织构的演化也使用粘塑性快速傅立叶变换(VPFFT)模型进行模拟。将所接收的样品(在热锻和热轧条件下)单向冷轧,厚度减少量可达20、40、60和80 pct。冷轧压下率的增加导致晶体组织和晶粒形态的变化。初始热轧样品由晶粒内剪切带组成,该剪切带相对于样品轧制方向对齐大约±35至40°。在所有冷轧样品中均观察到α(RD // <110>)和γ(ND // <111>)纤维。发现这两种纤维的体积分数在80 pct变形样品中最高。对于平均场模拟,已发现纹理指数的归一化差异(归一化TI diff)是表示模拟纹理与实验纹理之间匹配的良好标准。与泰勒模型相比,仿射模型(VPSC)与实验纹理具有很好的匹配性。的γ -纤维和α在平均场VPSC模拟中,总是高估了光纤。大量剪切带的形成可能是导致模拟纹理与实验纹理不匹配的可能原因。对于VPFFT模拟,一般的纹理演变涉及γ纤维和α纤维纹理的增强。使用不同的纹理纤维/成分的体积分数,可以使用VPFFT对模拟质地进行合理的定量定量预测。

更新日期:2021-01-25
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