[HTML][HTML] Thermal drilling processing on sheet metals: A review
Thermal drilling is a sheet metal hole making technique and which is the most cost-effective
and extremely high productivity technique in sheet metal fastenings. Especially, the …
and extremely high productivity technique in sheet metal fastenings. Especially, the …
Evaluation of ANN and ANFIS modeling ability in the prediction of AISI 1050 steel machining performance
SO Sada, SC Ikpeseni - Heliyon, 2021 - cell.com
In the development of an accurate modeling technique for the design of an efficient
machining process, manufacturers must be able to identify the most suitable technique …
machining process, manufacturers must be able to identify the most suitable technique …
[PDF][PDF] Surface Characteristics Measurement Using Computer Vision: A Review.
Computer vision provides image-based solutions to inspect and investigate the quality of the
surface to be measured. For any components to execute their intended functions and …
surface to be measured. For any components to execute their intended functions and …
[HTML][HTML] A two-step machine learning approach for dynamic model selection: a case study on a micro milling process
Generally, dynamic model selection is implemented using algorithms that need a feedback
from the system's output; but, in many real-world applications this feedback is not available …
from the system's output; but, in many real-world applications this feedback is not available …
Prediction and optimization of surface roughness in a turning process using the ANFIS-QPSO method
MS Alajmi, AM Almeshal - Materials, 2020 - mdpi.com
This study presents a prediction method of surface roughness values for dry and cryogenic
turning of AISI 304 stainless steel using the ANFIS-QPSO machine learning approach …
turning of AISI 304 stainless steel using the ANFIS-QPSO machine learning approach …
Evolutionary-based neuro-fuzzy modelling of combustion enthalpy of municipal solid waste
The viability of thermal waste-to-energy (WTE) plants and its optimal performance have
informed intelligent predictive modelling of its significant variables critical to optimal energy …
informed intelligent predictive modelling of its significant variables critical to optimal energy …
Modeling and optimization of fused deposition modeling (FDM) process through printing PLA implants using adaptive neuro-fuzzy inference system (ANFIS) model …
Fused deposition modeling (FDM) is a widely used additive manufacturing (AM) technique
for developing complex features and geometries within the shortest possible time as per …
for developing complex features and geometries within the shortest possible time as per …
A machine learning approach for investigating the impact of seasonal variation on physical composition of municipal solid waste
The fault in the method of collection of waste-related data which has resulted in ill-defined
and unreliable waste-data has necessitated the modeling approach. Despite the benefits of …
and unreliable waste-data has necessitated the modeling approach. Despite the benefits of …
An effective PSO-LSSVM-based approach for surface roughness prediction in high-speed precision milling
B Li, X Tian - Ieee Access, 2021 - ieeexplore.ieee.org
Surface roughness is one of the important indicators to measure the surface quality of parts
processed, in addition to the cutting parameters affecting the surface roughness, the …
processed, in addition to the cutting parameters affecting the surface roughness, the …
A hybrid GA-ANFIS and F-Race tuned harmony search algorithm for Multi-Response optimization of Non-Traditional Machining process
R Devaraj, SK Mahalingam, B Esakki, A Astarita… - Expert Systems with …, 2022 - Elsevier
The present study focuses on development of prediction models with respect to various cut
quality characteristics such as material removal rate, kerf taper and surface roughness for a …
quality characteristics such as material removal rate, kerf taper and surface roughness for a …