Work

New insights into the methods for predicting ground surface roughness in the age of digitalisation

Year: 2020

Type: article

Source: Precision Engineering

DOI: 10.1016/j.precisioneng.2020.11.001

Authors: Yuhang Pan, Ping Zhou, Ying Yan, Anupam Agrawal, Yonghao Wang, Dongming Guo, Saurav Goel

Institutions: Dalian University of Technology, Texas A&M University, Engineering and Physical Sciences Research Council, University of Cambridge, Shiv Nadar University, London South Bank University, Cranfield University

Language: English

Topic: Advanced machining processes and optimization

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: UK Research and Innovation, Royal Academy of Engineering, Royal Society, National Natural Science Foundation of China, ARCHER Service, Engineering and Physical Sciences Research Council, European Regional Development Fund

Awards: G1240832667, G1359047388, Intelligent engineering coatings for in-manufacture and in-service monitoring of critical safety products (CoatIN), G1561126032, G159312684, G1619315141, G1829628033, G1871580472, G1873441822, G2125348643, G2770045154, EPSRC NetworkPlus In Digitalised Surface Manufacturing: Towards "World's Best" Processes, G517118852, G5656002269, HETEROSTRUCTURE RADIATION DETECTOR MATERIALS FOR ADVANCED TIME OF FLIGHT POSITRON EMISSION TOMOGRAPHY (TOF-PET) IMAGING, G8830134262

OpenAlex ID: W3095800599

FWCI: 6.08

Cites: 145

Cited by: 94

Related to: 10