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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …