کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1696859 1519233 2016 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Prediction of complete forming limit diagram from tensile properties of various steel sheets by a nonlinear regression based approach
ترجمه فارسی عنوان
پیش بینی نمودار محدود کننده تشکیل کامل از خواص کششی ورق های فولادی مختلف با رویکرد مبتنی بر رگرسیون غیر خطی
کلمات کلیدی
نمودار محدود تشکیل خواص کششی، معادله رگرسیون غیر خطی، نمودار محدود کننده تشکیل شده استرس، فولاد
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
چکیده انگلیسی

Experimental Forming Limit Curve (FLC) and tensile properties of various steel grades are collected from literatures to validate the proposed model. The experimental results show that the ultimate tensile stress (σUTS), total elongation (ɛt), coefficient of normal anisotropy (r), tensile strain hardening exponent (n) and sheet thickness (t) are strongly related to the plane strain forming limit (FLC0) values for steel sheets. A nonlinear regression equation is proposed to predict FLC0 from uniaxial tensile properties like σUTS, ɛt, r, n and t. To verify the predictive capability of the proposed equation, predicted FLC0 values for fifty six steel grades in various thickness and strength ranges are compared with experimentally measured FLC0 values. It is observed that the newly developed nonlinear regression equation predicts well the FLC0 values.Left side of the strain-based FLC is calculated from a criterion (a line with slope of –1) which is normally well matched with experimental observation. Right side of the strain-based FLC is calculated from modified Keeler–Brazier power equation. In the original Keeler–Brazier power equation for the right side of the FLC the exponent is considered as 0.5, while experimental finding revels that it varies systematically with FLC0. Complete strain-based FLCs calculated from proposed method are matched well with experimental FLCs for various automotive steel grades like IF, IF 340, DP 780, TRIP 780 and TWIP 940 steels.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Manufacturing Processes - Volume 23, August 2016, Pages 192–200
نویسندگان
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