Deep learning enabled cutting tool selection for special-shaped machining features of complex products-Reference-Cited by-同舟云学术

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Deep learning enabled cutting tool selection for special-shaped machining features of complex products

Published:2019-07 Issue: Volume:133 Page:1-11
ISSN:0965-9978
Container-title:Advances in Engineering Software
language:en
Short-container-title:Advances in Engineering Software

Author:

Zhou Guanghui,Yang Xiongjun,Zhang Chao,Li Zhi,Xiao Zhongdong

Funder

National Natural Science Foundation of China

Innovation Method Fund of China

Publisher

Elsevier BV

Subject

General Engineering,Software

Reference41 articles.

1. An enriched machining feature based approach to cutting tool selection;Ji;Int J Comput Integr Manuf,2017

2. Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors;Ding;Int J Prod Res,2019

3. RFID-enabled social manufacturing system for inter-enterprise monitoring and dispatching of integrated production and transportation tasks;Ding;Robot Comput-Integr Manuf,2018

4. Life Cycle management of cutting tools: comprehensive acquisition and aggregation of tool life data;Brenner;Procedia CIRP,2017

5. Development of an expert system for turning and rotating tool selection in a dynamic environment;Mookherjee;J Mater Process Technol,2001

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