Parameter Optimization and DEM Simulation of Bionic Sweep with Lower Abrasive Wear Characteristics

Author:

Wang Shuo12,Liu Xuanting12,Tong Tianjian3ORCID,Xu Zihe12,Ma Yunhai12

Affiliation:

1. The College of Biological and Agricultural Engineering, Jilin University, 5988 Renmin Street, Changchun 130025, China

2. The Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, 5988 Renmin Street, Changchun 130025, China

3. Department of Agriculture and Biosystems, Iowa State University, Ames, IA 50011, USA

Abstract

High wear rates during the tillage process often result in significant financial losses and wasted farming seasons. In this paper, a bionic design was used to reduce tillage wear. Inspired by wear-resistant animals with ribbed structures, the bionic ribbed sweep (BRS) was designed by combining a ribbed unit with a conventional sweep (CS). BRSs with different parameters (width φ, height h, angle θ, and interval λ) were simulated and optimized using the DEM and RSM methods at a working depth of 60 mm to evaluate the magnitude and trends of three responses: tillage resistance (TR), number of contacts between the sweep and soil particles (CNSP), and Archard wear value (AW). The results showed that a protective layer could be created on the surface of the sweep with a ribbed structure to reduce abrasive wear. Analysis of variance proved that factors φ, θ, and λ had significant effects on AW, CNSP, and TR, while factor h was insignificant. An optimal solution was obtained using the desirability method, including 8.88 mm φ, 1.05 mm h, 3.01 mm λ, and 34.46° θ. Wear tests and simulations showed that wear loss could be effectively reduced at different speeds by the optimized BRS. It was found to be feasible to create a protective layer to reduce partial wear by optimizing the parameters of the ribbed unit.

Funder

National Natural Science Foundation of China

Jilin Province Science and Technology Development

Changchun Science and Technology Development Plan Item

Publisher

MDPI AG

Subject

Molecular Medicine,Biomedical Engineering,Biochemistry,Biomaterials,Bioengineering,Biotechnology

Reference44 articles.

1. DEM Numerical Simulation of Abrasive Wear Characteristics of a Bioinspired Ridged Surface;Tong;J. Bionic Eng.,2010

2. Global energy consumption due to friction and wear in the mining industry;Holmberg;Tribol. Int.,2017

3. Development of a two-body wet abrasion test method with attention to the effects of reused abradant;Blau;Wear,2013

4. Abrasive wear of embossed surfaces with convex domes;Tong;Wear,2012

5. Wang, J., He, Q., Hu, Y., and Wang, M. (2011, January 9–11). Study on the Microstructure and Performance of New Type Martensite Wear Resistant Steel. Proceedings of the 2nd International Conference on Manufacturing Science and Engineering, Guilin, China.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3