Minimization of turning time for high-strength steel with a given surface roughness using the Edgeworth–Pareto optimization method

To improve the low formability that HSS sheets exhibit at room temperature, innovative forming technologies like the hot stamping process are currently applied. In order to avoid scaling and decarburization during the heating step, metal sheets coated with a specially developed Al-Si coating are utilized. In the present work the coating characteristics in terms of morphology, surface roughness and tribological behaviour are investigated as function of heating temperature, holding time and cooling rate that are typical of hot stamping processes.

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Effect of Surface Roughness on Step-Wise S-N Curve in High Strength Steel

The Proceedings of Conference of Tokai Branch ◽

10.1299/jsmetokai.2002.51.299 ◽

2002 ◽

Vol 2002.51 (0) ◽

pp. 299-300

Author(s):

Hisatake ITOGA ◽

Keiro TOKAJI ◽

Masaki NAKAJIMA ◽

Haeng Nam KO

Keyword(s):

Surface Roughness ◽

High Strength Steel ◽

High Strength ◽

Effect Of Surface

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Strength Optimization of Infant Pop-Up Seat Frame Using Discrete Material and Thickness Optimization

International Journal of Manufacturing Materials and Mechanical Engineering ◽

10.4018/ijmmme.2021070101 ◽

2021 ◽

Vol 11 (3) ◽

pp. 1-20

Author(s):

YeongJo Ju ◽

Euysik Jeon

Keyword(s):

Optimal Design ◽

High Strength Steel ◽

Design Method ◽

High Strength ◽

Optimization Method ◽

Design Criterion ◽

Thickness Optimization ◽

Element Analysis ◽

Strength Design ◽

Seat Frame

In this paper, the authors proposed an optimal design method for the strength design of infant pop-up seat frame combined with rear seats for infants, children, and adults, not removable booster seats or car seats. Frame strength design was performed using discrete material and thickness optimization (DMTO) method considering high strength steel (HSS) and advanced high strength steel (AHSS). Structural design using the Section 4 link mechanism was performed, and the weakness of the seat frame due to static load was confirmed through finite element analysis. An optimal design criterion was established by carrying out a case study to derive the limiting conditions according to static and dynamic loads. In consideration of these criteria, the optimal design according to d-optimal and discrete Latin-hypercube (DLH) was performed among the design of experiments (DOE). And the strength of the pop-up seat frame for infants according to each DOE was checked, and the strength optimization method was suggested by comparing the lightweight ratio.

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Experimental Study on the Relationship between Surface Roughness and Cutting Parameters when Face Milling High Strength Steel

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.139-141.782 ◽

2010 ◽

Vol 139-141 ◽

pp. 782-787

Author(s):

Yue Ding ◽

Wei Liu ◽

Xi Bin Wang ◽

Li Jing Xie ◽

Jun Han

Keyword(s):

Surface Roughness ◽

Feed Rate ◽

High Strength Steel ◽

Cutting Speed ◽

High Strength ◽

Face Milling ◽

Depth Of Cut ◽

Radial Depth ◽

The Relationship ◽

Axial Depth

In this study, surface roughness generated by face milling of 38CrSi high-strength steel is discussed. Experiments based on 24 factorial design and Box-Behnken design method are conducted to investigate the effects of milling parameters (cutting speed, axial depth of cut and radial depth of cut and feed rate) on surface roughness, and a second-order model of surface roughness is established by using surface response methodology (RSM); Significance tests of the model are carried out by the analysis of variance (ANOVA). The results show that the most important cutting parameter is feed rate, followed by radial depth of cut, cutting speed and axial depth of cut. Moreover, it is verified that the predictive model possesses highly significance by the variance examination at a level of confidence of 99%. And the relationship between surface roughness and the important interaction terms is nonlinear.

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Cutting force, tool wear and surface roughness in high-speed milling of high-strength steel with coated tools

Journal of Mechanical Science and Technology ◽

10.1007/s12206-019-1033-3 ◽

2019 ◽

Vol 33 (11) ◽

pp. 5393-5398 ◽

Cited By ~ 6

Author(s):

Yuan Li ◽

Guangming Zheng ◽

Xu Zhang ◽

Xiang Cheng ◽

Xianhai Yang ◽

...

Keyword(s):

Surface Roughness ◽

Tool Wear ◽

Cutting Force ◽

High Strength Steel ◽

High Speed ◽

High Strength ◽

High Speed Milling ◽

Coated Tools

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Prediction Model of Cutting Parameters for Turning High Strength Steel Grade-H: Comparative Study of Regression Model versus ANFIS

Advances in Materials Science and Engineering ◽

10.1155/2017/2759020 ◽

2017 ◽

Vol 2017 ◽

pp. 1-12 ◽

Cited By ~ 1

Author(s):

Adel T. Abbas ◽

Mohanad Alata ◽

Adham E. Ragab ◽

Magdy M. El Rayes ◽

Ehab A. El Danaf

Keyword(s):

Experimental Data ◽

Surface Roughness ◽

Regression Analysis ◽

High Strength Steel ◽

Removal Rate ◽

High Strength ◽

Cutting Parameters ◽

Turning Operations ◽

Cnc Turning ◽

Accuracy And Repeatability

The Grade-H high strength steel is used in the manufacturing of many civilian and military products. The procedures of manufacturing these parts have several turning operations. The key factors for the manufacturing of these parts are the accuracy, surface roughness (Ra), and material removal rate (MRR). The production line of these parts contains many CNC turning machines to get good accuracy and repeatability. The manufacturing engineer should fulfill the required surface roughness value according to the design drawing from first trail (otherwise these parts will be rejected) as well as keeping his eye on maximum metal removal rate. The rejection of these parts at any processing stage will represent huge problems to any factory because the processing and raw material of these parts are very expensive. In this paper the artificial neural network was used for predicting the surface roughness for different cutting parameters in CNC turning operations. These parameters were investigated to get the minimum surface roughness. In addition, a mathematical model for surface roughness was obtained from the experimental data using a regression analysis method. The experimental data are then compared with both the regression analysis results and ANFIS (Adaptive Network-based Fuzzy Inference System) estimations.

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Experimental Study on Cryogenic Cutting of High-Strength Steel with Liquid Nitrogen Cooling

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.328-330.470 ◽

2011 ◽

Vol 328-330 ◽

pp. 470-473 ◽

Cited By ~ 1

Author(s):

Shu Juan Li ◽

Yong Ke Hu ◽

Xue Jiang ◽

Juan Du

Keyword(s):

Surface Roughness ◽

Cutting Force ◽

High Strength Steel ◽

Cutting Speed ◽

High Strength ◽

Dry Cutting ◽

Chip Breaking ◽

Cryogenic Cutting ◽

Hard Cutting ◽

Made In

As a modern manufacturing technology, cryogenic cutting technology is one of effective ways to improve machining efficiency of hard-cutting materials.With typical hard-cutting materials 35CrMnSiA and 45CrNiMoV high-strength steel as the research object, the comparison experiment between cryogenic cutting and dry cutting of two kinds of high-strength steels was made in this paper. In the changing cutting speed conditions, the cutting force and the surface roughness of two kinds of cutting were measured in this experiment.By changing the length of cutting stroke, the cutter wear of two kinds of cutting was measured, and a comparison of chip-breaking effects was made in the experiment.The experimental results indicate that the cutting force, surface roughness, and tool wear in cutting 35CrMnSiA and 45CrNiMoV high-strength steel under cryogenic condition are reduced, and chip-breaking effect of cryogenic cutting is improved. This may be attributed mainly to improve the machinability of higth-strength steel.

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