Advanced data collection and analysis in data-driven manufacturing process

K Xu, Y Li, C Liu, X Liu, X Hao, J Gao… - Chinese Journal of …, 2020‏ - Springer
The rapidly increasing demand and complexity of manufacturing process potentiates the
usage of manufacturing data with the highest priority to achieve precise analyze and control …

Monitoring and predicting the surface generation and surface roughness in ultraprecision machining: A critical review

K Manjunath, S Tewary, N Khatri, K Cheng - Machines, 2021‏ - mdpi.com
The aim of manufacturing can be described as achieving the predefined high quality product
in a short delivery time and at a competitive cost. However, it is unfortunately quite …

[HTML][HTML] Modeling of cutting parameters and tool geometry for multi-criteria optimization of surface roughness and vibration via response surface methodology in …

M Kuntoğlu, A Aslan, DY Pimenov, K Giasin… - Materials, 2020‏ - mdpi.com
AISI 5140 is a steel alloy used for manufacturing parts of medium speed and medium load
such as gears and shafts mainly used in automotive applications. Parts made from AISI 5140 …

Novel uses of SiO2 nano-lubrication system in hard turning process of hardened steel AISI4140 for less tool wear, surface roughness and oil consumption

M Sayuti, AAD Sarhan, F Salem - Journal of Cleaner Production, 2014‏ - Elsevier
Hardened steel AISI 4140 material is commonly used to produce automotive parts such as
shafts, gears and bearings. Machining this material significantly increases the temperature …

Bayesian linear regression for surface roughness prediction

D Kong, J Zhu, C Duan, L Lu, D Chen - Mechanical Systems and Signal …, 2020‏ - Elsevier
To improve the prediction accuracy of surface roughness in milling process, this paper
provides an unique feature extraction method and comprehensively analyzes four types of …

[HTML][HTML] Prediction of surface roughness based on cutting parameters and machining vibration in end milling using regression method and artificial neural network

YC Lin, KD Wu, WC Shih, PK Hsu, JP Hung - Applied Sciences, 2020‏ - mdpi.com
This study presents surface roughness modeling for machined parts based on cutting
parameters (spindle speed, cutting depth, and feed rate) and machining vibration in the end …

Application of the wavelet packet transform to vibration signals for surface roughness monitoring in CNC turning operations

EG Plaza, PJN López - Mechanical Systems and Signal Processing, 2018‏ - Elsevier
The wavelet packet transform method decomposes a time signal into several independent
time-frequency signals called packets. This enables the temporary location of transient …

Experimental investigation into machinability of hardened AISI 4140 steel using TiN coated ceramic tool

SR Das, D Dhupal, A Kumar - Measurement, 2015‏ - Elsevier
The concerns with some machinability aspects on surface roughness, flank wear and chip
morphology in hard turning of AISI 4140 steel using PVD-TiN coated Al 2 O 3+ TiCN mixed …

Efficiency of vibration signal feature extraction for surface finish monitoring in CNC machining

EG Plaza, PJN López, EMB González - Journal of Manufacturing Processes, 2019‏ - Elsevier
On-line monitoring technologies in CNC machining operations eliminate post-process
quality control, and are crucial for improving productivity and reliability, reducing production …