Multi-objective optimization of swash plate forging process parameters for the die wear/service life improvement

被引:2
作者
Hu, X. F. [1 ,2 ]
Wang, L. G. [1 ]
Wu, H. [1 ]
Liu, S. S. [2 ]
机构
[1] Jiangsu Univ, Sch Mat Sci & Technol, Zhenjiang 212013, Peoples R China
[2] Kunshan Huizhong Machine Co Ltd, Kunshan 215331, Peoples R China
来源
6TH GLOBAL CONFERENCE ON MATERIALS SCIENCE AND ENGINEERING | 2018年 / 283卷
基金
中国国家自然科学基金;
关键词
NUMERICAL-SIMULATION; WEAR;
D O I
10.1088/1757-899X/283/1/012018
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
For the forging process of the swash plate, the author designed a kind of multi-index orthogonal experiment. Based on the Archard wear model, the influences of billet temperature, die temperature, forming speed, top die hardness and friction coefficient on forming load and die wear were numerically simulated by DEFORM software. Through the analysis of experimental results, the best forging process parameters were optimized and determined, which could effectively reduce the die wear and prolong the die service life. It is significant to increase the practical production of enterprise, especially to reduce the production cost and to promote enterprise profit.
引用
收藏
页数:9
相关论文
共 50 条
[41]   Wear Behavior of Friction Stir Processed AA7075 – Aluminosilicate / MWCNT Hybrid Composite Using Multi-objective Optimization [J].
P. S. Samuel Ratna Kumar ;
P. M. Mashinini ;
R. Vaira Vignesh .
Silicon, 2022, 14 :12329-12347
[42]   Multi-objective optimization and energy efficiency improvement for rotor duct in integrated energy recovery-pressure boost device [J].
Yin, Fanglong ;
Lu, Wang ;
Ji, Hui ;
Nie, Songlin ;
Ma, Zhonghai ;
Yan, Xiaopeng .
ENERGY, 2024, 300
[43]   Wear Behavior of Friction Stir Processed AA7075-Aluminosilicate / MWCNT Hybrid Composite Using Multi-objective Optimization [J].
Kumar, P. S. Samuel Ratna ;
Mashinini, P. M. ;
Vignesh, R. Vaira .
SILICON, 2022, 14 (18) :12329-12347
[44]   Experimental investigations and multi-objective optimization of MQL-assisted milling process for finishing of AISI 4340 steel [J].
Muaz, Muhammed ;
Choudhury, Sounak Kumar .
MEASUREMENT, 2019, 138 :557-569
[45]   Multi objective optimization of process parameters in WEDM of aluminum hybrid composite using taguchi and topsis techniques [J].
Muniappan, A. ;
Jaivaakheish, A. P. ;
Jayakumar, V ;
Arunagiri, A. ;
Senthilkumar, R. .
2ND INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING (ICAME 2018), 2018, 402
[46]   Experimental study and multi-objective optimization of process parameters during turning of 100Cr6 using C-type advanced coated tools [J].
Bhandarkar, L. R. ;
Mohanty, P. P. ;
Sarangi, S. K. .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2021, 235 (24) :7634-7654
[47]   Multi-objective Optimization of Shot-peening Parameters using Design of Experiments and Finite Element Simulation: A Statistical Model [J].
Hassanzadeh, Mahdi ;
Torshizi, Seyed Ebrahim Moussavi .
JOURNAL OF APPLIED AND COMPUTATIONAL MECHANICS, 2022, 8 (03) :838-852
[48]   Prediction of Surface Roughness of 304 Stainless Steel and Multi-Objective Optimization of Cutting Parameters Based on GA-GBRT [J].
Zhou, Tao ;
He, Lin ;
Wu, Jinxing ;
Du, Feilong ;
Zou, Zhongfei .
APPLIED SCIENCES-BASEL, 2019, 9 (18)
[49]   Multi-objective optimization of wear and friction behavior of hybrid Magnesium-graphene-silicon nitride composite under dry sliding conditions [J].
Preethi, V. ;
Kavimani, V. ;
Gopal, P. M. .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART J-JOURNAL OF ENGINEERING TRIBOLOGY, 2025,
[50]   Performance improvement of an active vibration absorber subsystem for an aircraft model using a bees algorithm based on multi-objective intelligent optimization [J].
Zarchi, Milad ;
Attaran, Behrooz .
ENGINEERING OPTIMIZATION, 2017, 49 (11) :1905-1921