Improved measure of workpiece surface deterioration during turning using non-contact vision method-Reference-Cited by-同舟云学术

Improved measure of workpiece surface deterioration during turning using non-contact vision method

Published:2021-03 Issue: Volume:68 Page:273-284
ISSN:0141-6359
Container-title:Precision Engineering
language:en
Short-container-title:Precision Engineering

Author:

Derani M.N.,Ratnam M.M.,Nasir R.M.

Funder

Ministry of Higher Education, Malaysia

Publisher

Elsevier BV

Subject

General Engineering

Reference26 articles.

1. Prediction of surface roughness in CNC turning by model-assisted response surface method;Misaka;Precis Eng,2020

2. Measurement of machining forces and surface roughness in turning of AISI 304 steel using alumina-MWCNT hybrid nanoparticles enriched cutting fluid;Sharma;Precis Eng,2020

3. Influence of surface integrity on fatigue life of bearing rings finished by precision hard turning and grinding;Jouini;J Manuf Process,2020

4. Evaluation of turned and milled surfaces roughness using convolutional neural network;Rifai;Measurement,2020

5. A comprehensive study on the effects of tool wear on surface roughness, dimensional integrity and residual stress in turning IN718 hard-to- machine alloy;Niaki;J Manuf Process,2017

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1. The Effect of Feed and Depth of Cut Parameters on Surface Roughness and Chip Morphology in Stainless Steel Materials;European Journal of Technic;2024-06-21

2. The analysis of the effect of varying feed values in each pass on tool wear and surface roughness in turning of AISI 4140;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2023-10-21

3. Analysis of tool wear and surface roughness in machining of AISI 4462 duplex stainless steel;Materials Testing;2023-08-14

4. Machining of Hard-to-cut AISI 4462 Duplex Stainless Steel with an Environmentally Friendly Approach with Vortex Tube;Strojniški vestnik - Journal of Mechanical Engineering;2023-06-29

5. Research on taper thread’s compensation algorithm based on machine vision considering the inclined state effect and tooth profile distortion;Multimedia Tools and Applications;2023-04-17