Work

Surface roughness stabilization method based on digital twin-driven machining parameters self-adaption adjustment: a case study in five-axis machining

Year: 2020

Type: article

Source: Journal of Intelligent Manufacturing

DOI: 10.1007/s10845-020-01698-4

Authors: Zengya Zhao, Sibao Wang, Sibao Wang, Zehua Wang, Shilong Wang, Shilong Wang, Chi Ma, Bo Yang

Institutions: Chongqing University, State Key Laboratory of Mechanical Transmission

Language: English

Topic: Advanced machining processes and optimization

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: National Key Research and Development Program of China

Award: G6297436389

OpenAlex ID: W3096157705

FWCI: 4.903

Cites: 45

Cited by: 85

Related to: 10