An enriched machining feature based approach to cutting tool selection-Reference-Cited by-同舟云学术

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An enriched machining feature based approach to cutting tool selection

Published:2017-07-20 Issue:1 Volume:31 Page:1-10
ISSN:0951-192X
Container-title:International Journal of Computer Integrated Manufacturing
language:en
Short-container-title:International Journal of Computer Integrated Manufacturing

Author:

Ji Wei¹²^ORCID,Wang Lihui²,Haghighi Azadeh²³,Givehchi Mohammad²,Liu Xianli¹

Affiliation:

1. School of Mechanical and Power Engineering, Harbin University of Science and Technology, Harbin, China

2. Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden

3. Department of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL, USA

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Aerospace Engineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/0951192X.2017.1356472

Reference29 articles.

1. Selection of cutting tools and conditions of machining operations using an expert system

2. Optimization and selection of cutters for 3D pocket machining

3. The prototype of an expert system for the selection of high-speed steels for cutting tools

4. Incorporated tool selection system using object technology

5. COATS: an Expert Module for Optimal Tool Selection

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1. NC process information mining based optimization method of roughing tool sequence selection for pocket features;Advanced Engineering Informatics;2024-08

2. A review of automated cutting tool selection methods;The International Journal of Advanced Manufacturing Technology;2024-06-04

3. Machining feature process route planning based on a graph convolutional neural network;Advanced Engineering Informatics;2024-01

4. An intelligent recommender system for tool selection in conventional machining;International Journal of Computer Integrated Manufacturing;2023-11-20

5. Automated Determination of Suitable Finishing Operation Types for Milling of Surfaces;Lecture Notes in Production Engineering;2023-11-18

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