Performance assessment of some selected vegetable oils as lubricants in turning of AISI 1045 steel using a Taguchi-based grey relational analysis approach

PO Abegunde, RA Kazeem, IG Akande… - Tribology-Materials …, 2023 - journals.sagepub.com
This study is focused on the performance evaluation of three cutting lubricants, which are
neem, palm kernel and mineral oil in the turning of AISI 1045 with MQL. Optimization of …

Performance evaluation of African star seed (chrysophyllum albidum) oil as a cutting lubricant in milling of ASTM A36 steel

OM Ikumapayi, RA Kazeem… - Advances in Materials …, 2024 - Taylor & Francis
Due to the harmful effects that conventional mineral oils have on human health and the
environment, vegetable oils are becoming more and more dominant as cutting fluids in …

The modeling, analysis, and application of the in-process machining data for CNC machining

H Zhou, M Lang, P Hu, Z Su, J Chen - The International Journal of …, 2019 - Springer
Abstract As the Computer Numerical Control (CNC) machining is executing, a large volume
of in-process machining data is generated simultaneously in the CNC system, such as the …

Assessment of Internal Damage in Sandwich Structures by Post-Processing of Mode Shapes Using Curvelet Transform

A Katunin, S Ručevskis - Materials, 2021 - mdpi.com
Identification and quantification of structural damage is one of the crucial aspects of proper
maintenance of mechanical and civil structures, which is directly related to their integrity and …

Machine vision based surface roughness assessment system based on the Internet of Things and contourlet transforms

V Chebrolu, R Koona, RSU Raju - International Journal on Interactive …, 2023 - Springer
The contemporary progress in the automatic evaluation of surface roughness is based on
machine vision systems. The human faults and struggles tangled in measuring surface …

[PDF][PDF] Curvelet transforms and flower pollination algorithm based machine vision system for roughness estimation

RSU Raju, R Ramesh, VR Raju, S Mohammad - image, 2018 - researchgate.net
Abstract Machine vision based systems aided in approximation of the surface roughness in
a nondestructive means and relieved the process of automation. The advent of computers …

Automated Evaluation of Surface Roughness using Machine Vision based Intelligent Systems

V Chebrolu, R Koona, RS Raju - Journal of Scientific & Industrial …, 2022 - op.niscpr.res.in
Abstract Machine vision systems play a vital role in entirely automating the evaluation of
surface roughness due to the hitches in the conformist system. Machine vision systems …

Surface finish evaluation using curvelet transforms based machine vision system

G Bharat, RSU Raju, B Srinivas - Materials Today: Proceedings, 2021 - Elsevier
Machining is done to obtain dimensional accuracy and surface finish; several automated
systems are available for the evaluation of dimensional accuracy, whereas surface finish …

Internet of Things and hybrid models-based interpretation systems for surface roughness estimation

RSU Raju, RK Kottala, BM Varma, P Krishna… - AI EDAM, 2024 - cambridge.org
Face milling is performed on aluminum alloy A96061-T6 at diverse cutting parameters
proposed by the design of experiments. Surface roughness is predicted by examining the …

Curvelet transforms and flower pollination algorithm based machine vision system for roughness estimation

RS Umamaheswara Raju, R Ramesh, VR Raju… - Journal of Optics, 2018 - Springer
Abstract Machine vision based systems aided in approximation of the surface roughness in
a nondestructive means and relieved the process of automation. The advent of computers …