Integrating response surface methodology and machine learning for analyzing the unconventional machining properties of hybrid fiber‐reinforced composites

V Vinoth, S Sathiyamurthy… - Polymer …, 2024 - Wiley Online Library
The aim of this investigation was to delve into the impact of abrasive water jet machining
(AWJM) process variables on the surface roughness (R a) and kerf angle (K a) of hybrid fiber …

Investigation on machinability in turning of as-cast and T6 heat-treated Al-(3, 7, 12%) Si-0.6% Mg alloys

PAB Machado, JM do Vale Quaresma, A Garcia… - Journal of Manufacturing …, 2022 - Elsevier
The machinability in turning of Al-Si-Mg alloys under as-cast and heat-treated conditions has
been investigated. Three alloys with 3%, 7% and 12% Si and 0.6% Mg contents (wt%) were …

Experimental investigation and statistical evaluation of optimized cutting process parameters and cutting conditions to minimize cutting forces and shape deviations in …

M Abas, B Salah, QS Khalid, I Hussain, AR Babar… - Materials, 2020 - mdpi.com
Precise, economical and sustainable cutting operations are highly desirable in the
advanced manufacturing environment. For this aim, the present study investigated the …

Temperature optimization by using response surface methodology and desirability analysis of aluminium 6061

EM Gutema, M Gopal, HG Lemu - Materials, 2022 - mdpi.com
Because aluminium is a lightweight and low-density material, its alloys, such as Al 6061
alloy, are extensively used in numerous automobile, defense, and aviation components …

Investigation in optimization of process parameters in turning of mild steel using response surface methodology and modified deep neural network

T Palaniappan, P Subramaniam - Materials Today Communications, 2024 - Elsevier
The turning operation is a traditional and conventional process for machining cylindrical
materials to achieve a desired shape. During machining in the turning process, the accuracy …

[HTML][HTML] Optimization of process parameters of selective laser melted nickel-based superalloy for densification by random forest regression algorithm and response …

HT Chung, CC Tsai, KK Jen, YS Huang, YC Ferng… - Results in …, 2024 - Elsevier
Abstract In this study, Random Forest Regression (RFR) and Response Surface
Methodology (RSM) were employed to predict the optimized processing parameters to …

Investigation on the effect of grinding wheel for grinding of AISI D3 tool steel under different conditions

SM Ali, NN Johnson, V Madhavadas… - Engineering …, 2022 - iopscience.iop.org
The surface finish of ground samples is highly influenced by the grinding parameters,
grinding conditions and the type of grinding wheel. This paper emphasizes on the effect of …

Investigation of the effect of minimum quantity lubrication and Ranque–Hilsch vortex tube cooling on cutting forces, surface roughness and cutting zone temperature in …

S Yağmur - Proceedings of the Institution of Mechanical …, 2023 - journals.sagepub.com
Aluminium alloys are widely utilized, particularly in the automotive and aerospace industries,
because of their great corrosion resistance, high strength/density ratio and propensity to …

Experimental study and multi-objective optimisation of CNC turning parameters of AL6061 materials

V Nguyen, H Do, T Tran - Australian Journal of Mechanical …, 2024 - Taylor & Francis
This paper investigates the effectiveness of feed rate, depth of cut, and cutting speed on
material removal rate (MRR) and surface roughness (SR) of CNC lathe machines on …

Effect of cutting factors on surface quality of AA7075 alloy: A case study while turning with ZrCN coated WC inserts

GR Sahoo, D Das, MP Satpathy, BK Nanda… - AIP Conference …, 2024 - pubs.aip.org
This paper dispenses influence of cutting factors on surface quality of AA7075 while turning
with tungsten carbide (WC) tools coated with TiN-TiCN-Al2O3-ZrCN in dry cutting …