Longitudinal-Torsional Ultrasonic Grinding of GCr15: Development of Longitudinal-Torsional Ultrasonic System and Prediction of Surface Topography.

GCr15 device response surface surface topography prediction

Journal

Micromachines
ISSN: 2072-666X
Titre abrégé: Micromachines (Basel)
Pays: Switzerland
ID NLM: 101640903

Informations de publication

Date de publication:
17 Aug 2023
Historique:
received: 28 07 2023
revised: 11 08 2023
accepted: 14 08 2023
medline: 26 8 2023
pubmed: 26 8 2023
entrez: 26 8 2023
Statut: epublish

Résumé

The common material of bearing rings is GCr15 bearing steel which is a typical difficult-to-machine material. As an important working surface of the bearing, the inner surface of the raceway plays a vital role in the performance of the bearing. As an important means to solve the high-performance manufacturing of difficult-to-machine materials, longitudinal-torsional ultrasonic processing is widely used in various types of processing. In the presented work, the basic size of the horn is obtained from the wave equation of the forced vibration, and the modal analysis and amplitude test are carried out to verify the rationality of the LUTG structure. Then, according to the probability density function of cutting thickness and the overlapping effect of adjacent abrasive trajectories, the LUTG surface topography prediction model is established by using the height formula of the surface residual material, and the model reliability is verified by using the orthogonal test. The error between the test results and the prediction model is within 13.2%. Finally, based on the response surface method, the optimal process parameters that can meet the requirements of low roughness (Ra) and high material removal rate (MRR) are screened, and the optimal combination of process parameters is obtained as follows: A = 4.5 μm, n = 6493.3 r/min, ap = 28.4 μm, and vf = 21.1 mm/min.

Identifiants

pubmed: 37630163
pii: mi14081626
doi: 10.3390/mi14081626
pmc: PMC10456418
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Xiaofeng Jia
ID : Henan Province's Key Research and Promotion (Scientific and Technological) Project (grant number 212102210335)
Organisme : Xiaofeng Jia
ID : Science and Technology Project of Anyang City(grant number 2021C01SF056)
Organisme : Ying Niu
ID : Fundamental Research Funds for the Universities of Henan Province(NSFRF230409).

Références

Materials (Basel). 2019 Jun 17;12(12):
pubmed: 31213028
Materials (Basel). 2021 Feb 02;14(3):
pubmed: 33540745

Auteurs

Huan Zhang (H)

School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, China.

Ying Niu (Y)

School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, China.

Xiaofeng Jia (X)

School of Mechanical Engineering, Anyang Institute of Technology, Anyang 455000, China.

Shuaizhen Chu (S)

School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, China.

Jingjing Niu (J)

School of Mechanical and Power Engineering, Henan Polytechnic University, Jiaozuo 454000, China.

Classifications MeSH